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Computer Science Research Topics

The dynamic discipline of computer science is driving innovation and technological progress in a number of areas, including education. Its importance is vast, as it is the foundation of the modern digital world, we live in.

Table of Contents

Choosing a computer science research topic for a thesis or dissertation is an important step for students to complete their degree. Research topics provided in this article will help students better understand theoretical ideas and provide them with hands-on experience applying those ideas to create original solutions.

Our comprehensive lists of computer science research topics cover a wide range of topics and are designed to help students select meaningful and relevant dissertation topics. All of these topics have been chosen by our team of highly qualified dissertation experts , taking into account both previous research findings and gaps in the field of computer science.

Computer Science Teacher/Professor Research Topics

The impact of collaborative learning tools on computer science student engagement
Evaluating the effectiveness of online and traditional computer science courses
Identify Opportunities and difficulties of incorporating artificial intelligence into the computer science curriculum
Explore the gamification as a means to improve learning outcomes in computer science education
How peer instruction helps students perform better in programming courses

Computer Science Research Ideas

Study of the implications of quantum computing for cryptographic algorithms
Analysing artificial intelligence methods to detect fraud in financial systems instantly
Enhancing cybersecurity measures for IoT networks using blockchain technology
Assessing the efficiency of transfer learning in natural language processing
Devising privacy-preserving data mining methods for cloud computing environments

Computer Science Thesis Topics

Examining Artificial Intelligence’s Effect on the Safety of Autonomous Vehicles
Investigating Deep Learning Models for Diagnostic Imaging in Medicine
Examining Blockchain’s Potential for Secure Voting Systems
Improving Cybersecurity with State-of-the-Art Intrusion Detection Technologies
Comparing Quantum Algorithms’ Effectiveness in Solving Complex Problems

Computer Science Dissertation Topics

Evaluating Big Data Analytics’ Effect on Business Intelligence Approaches
Understanding Machine Learning’s Function in Customized Healthcare Systems
Examining Blockchain’s Potential to Improve Data Security and Privacy
Improving the User Experience with Cutting-Edge Human-Computer Interaction Strategies
Assessing Cloud Computing Architectures’ Scalability for High-Demand Uses

Computer Science Topic Examples

Studying the Potential of AI to Enhance Medical Diagnostics and Therapy
The examination of Cyber-Physical System Applications and Integration Methods
Exploring Obstacles and Prospects in the Creation of Self-Driving Cars
Analyzing Artificial Intelligence’s Social Impact and Ethical Consequences
Building and Evaluating Interactive Virtual Reality User Experiences

Computer Security Research Topics

Examining Methods for Digital Communications Phishing Attack Detection and Prevention
Improving Intrusion Detection System Security in Networks
Cryptographic Protocol Development and Evaluation for Safe Data Transmission
Evaluating Security Limitations and Possible Solutions in Mobile Computing Settings
Vulnerability Analysis and Mitigation for Smart Contract Implementations

Cloud Computing Research Topics

Examining the Security of Cloud Computing: Recognizing Risks and Creating Countermeasures
Optimizing Resource Distribution Plans in Cloud-Based Environments
Investigating Cloud-Based Options to Improve Big Data Analytics
Examining the Effects of Cloud Computing on Enterprise IT Infrastructure
Formulating and Measuring Optimal Load Distribution Methods for Cloud Computing Services

Computational Biology Research Topics

Complex Biological System Modeling and Simulation for Predictive Insights
Implementing Bioinformatics Algorithms for DNA Sequence Analysis
Predictive genomics using Machine Learning Techniques
Investigating Computational Methods to Quicken Drug Discovery
Examining Protein-Protein Interactions Using State-of-the-Art Computational Techniques

Computational Chemistry Research Topics

Investigating Quantum Chemistry: Computational Techniques and Their Uses
Molecular Dynamics Models for Examining Chemical Processes
The use of Computational Methods to Promote Progress in Material Science
Chemical Property Prediction Using Machine Learning Methods
Evaluating Computational Chemistry’s Contribution to Drug Development and Design

Computational Mathematics Research Topics

Establishing Numerical Techniques to Solve Partial Differential Equations Effectively
Investigating of a Computational Methods in Algebraic Geometry
Formulating Mathematical Frameworks to Examine Complex System Behavior
Examining Computational Number Theory’s Use in Contemporary Mathematics

Computational Physics Research Topics

Compare the methodologies and Applications for Quantum System Simulation
Progressing Computational Fluid Dynamics: Methodologies and Real-World Uses
Study of the Simulating and Modeling Phenomena in Solid State Physics
Utilizing High-Performance Computing in Astrophysical Research
Handling Statistical Physics Problems with Computational Approaches

Computational Neuroscience Research Topics

Investigating the modelling of neural networks using machine learning techniques
Analysing brain imaging data using computational methods
Research into the role of computer modelling in understanding cognitive processes
Simulating synaptic plasticity and learning mechanisms in neural networks
Advances in the development of brain-computer interfaces through computational approaches

Also check: Education research ideas for your project

Computer Engineering Research Topics

Design and implement of low-power VLSI circuits for energy efficiency
Advanced embedded systems: design techniques and optimisation strategies
Exploring the latest advances in microprocessor architecture
Development and implementation of fault-tolerant systems for increased reliability
Implementation of real-time operating systems: Challenges and solutions

Computer Graphics Research Topics

Exploring real-time rendering techniques for interactive graphics
Comparative study of the advances in 3D modelling and animation technology
Applications of augmented reality in entertainment and education
Procedural generation techniques for the creation of virtual environments
The impact of GPU computing on modern graphics applications

Computer Forensics Research Topics

Developing advanced techniques for collecting and analysing digital evidence
Using machine learning to analyse patterns in cybercrime
Performing forensic analyses of data in cloud-based environments
Creating and improving tools for network forensics
Exploring legal and ethical considerations in computer forensics

Computer Hardware Research Topics

Design and optimisation of energy-efficient computing units for high-performance computers
Integration of quantum computer components into conventional hardware systems
Advances in neuromorphic computer hardware for artificial intelligence applications
Development of reliable hardware solutions for edge computing in IoT environments
High-density interconnects and packaging techniques for future semiconductor devices

Computer Programming Research Topics

Design and implementation of new programming languages for high-performance computing: challenges and solutions
Advances in automated testing tools and their impact on the software development lifecycle
The impact of functional programming paradigms on the design and architecture of modern software
Comparative analysis of concurrent and parallel programming models: Performance, scalability and usability

Computer Networking Research Topics

Advances in wireless communication technologies
Development of secure protocols for Internet of Things (IoT) networks
Optimising network performance with software-defined networking (SDN)
The role of 5G in the design of future communication systems

How to choose a topic in computer science

To choose a computer science topic, student first identify their interests and research current trends and available resources. They can seek advice from subject specialists to make sure the topic has a clear scope.

How Can Research Prospect Help students with Computer Science Topic and Dissertation process

At Research Prospect, we provide valuable support to computer science students throughout their dissertation process . From choosing research topics, drafting research proposals , conducting literature reviews , and analysing the data, our experts ensure to deliver high quality dissertations.

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Research Topics & Ideas: CompSci & IT

50+ Computer Science Research Topic Ideas To Fast-Track Your Project

Finding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. If you’ve landed on this post, chances are you’re looking for a computer science-related research topic , but aren’t sure where to start. Here, we’ll explore a variety of CompSci & IT-related research ideas and topic thought-starters, including algorithms, AI, networking, database systems, UX, information security and software engineering.

NB – This is just the start…

The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the CompSci domain. This is the starting point, but to develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.

If you’re new to the oftentimes perplexing world of research, or if this is your first time undertaking a formal academic research project, be sure to check out our free dissertation mini-course. In it, we cover the process of writing a dissertation or thesis from start to end. Be sure to also sign up for our free webinar that explores how to find a high-quality research topic.

Overview: CompSci Research Topics

Algorithms & data structures
Artificial intelligence ( AI )
Computer networking
Database systems
Human-computer interaction
Information security (IS)
Software engineering
Examples of CompSci dissertation & theses

Topics/Ideas: Algorithms & Data Structures

An analysis of neural network algorithms’ accuracy for processing consumer purchase patterns
A systematic review of the impact of graph algorithms on data analysis and discovery in social media network analysis
An evaluation of machine learning algorithms used for recommender systems in streaming services
A review of approximation algorithm approaches for solving NP-hard problems
An analysis of parallel algorithms for high-performance computing of genomic data
The influence of data structures on optimal algorithm design and performance in Fintech
A Survey of algorithms applied in internet of things (IoT) systems in supply-chain management
A comparison of streaming algorithm performance for the detection of elephant flows
A systematic review and evaluation of machine learning algorithms used in facial pattern recognition
Exploring the performance of a decision tree-based approach for optimizing stock purchase decisions
Assessing the importance of complete and representative training datasets in Agricultural machine learning based decision making.
A Comparison of Deep learning algorithms performance for structured and unstructured datasets with “rare cases”
A systematic review of noise reduction best practices for machine learning algorithms in geoinformatics.
Exploring the feasibility of applying information theory to feature extraction in retail datasets.
Assessing the use case of neural network algorithms for image analysis in biodiversity assessment

Topics & Ideas: Artificial Intelligence (AI)

Applying deep learning algorithms for speech recognition in speech-impaired children
A review of the impact of artificial intelligence on decision-making processes in stock valuation
An evaluation of reinforcement learning algorithms used in the production of video games
An exploration of key developments in natural language processing and how they impacted the evolution of Chabots.
An analysis of the ethical and social implications of artificial intelligence-based automated marking
The influence of large-scale GIS datasets on artificial intelligence and machine learning developments
An examination of the use of artificial intelligence in orthopaedic surgery
The impact of explainable artificial intelligence (XAI) on transparency and trust in supply chain management
An evaluation of the role of artificial intelligence in financial forecasting and risk management in cryptocurrency
A meta-analysis of deep learning algorithm performance in predicting and cyber attacks in schools

Topics & Ideas: Networking

An analysis of the impact of 5G technology on internet penetration in rural Tanzania
Assessing the role of software-defined networking (SDN) in modern cloud-based computing
A critical analysis of network security and privacy concerns associated with Industry 4.0 investment in healthcare.
Exploring the influence of cloud computing on security risks in fintech.
An examination of the use of network function virtualization (NFV) in telecom networks in Southern America
Assessing the impact of edge computing on network architecture and design in IoT-based manufacturing
An evaluation of the challenges and opportunities in 6G wireless network adoption
The role of network congestion control algorithms in improving network performance on streaming platforms
An analysis of network coding-based approaches for data security
Assessing the impact of network topology on network performance and reliability in IoT-based workspaces

Free Webinar: How To Find A Dissertation Research Topic

Topics & Ideas: Database Systems

An analysis of big data management systems and technologies used in B2B marketing
The impact of NoSQL databases on data management and analysis in smart cities
An evaluation of the security and privacy concerns of cloud-based databases in financial organisations
Exploring the role of data warehousing and business intelligence in global consultancies
An analysis of the use of graph databases for data modelling and analysis in recommendation systems
The influence of the Internet of Things (IoT) on database design and management in the retail grocery industry
An examination of the challenges and opportunities of distributed databases in supply chain management
Assessing the impact of data compression algorithms on database performance and scalability in cloud computing
An evaluation of the use of in-memory databases for real-time data processing in patient monitoring
Comparing the effects of database tuning and optimization approaches in improving database performance and efficiency in omnichannel retailing

Topics & Ideas: Human-Computer Interaction

An analysis of the impact of mobile technology on human-computer interaction prevalence in adolescent men
An exploration of how artificial intelligence is changing human-computer interaction patterns in children
An evaluation of the usability and accessibility of web-based systems for CRM in the fast fashion retail sector
Assessing the influence of virtual and augmented reality on consumer purchasing patterns
An examination of the use of gesture-based interfaces in architecture
Exploring the impact of ease of use in wearable technology on geriatric user
Evaluating the ramifications of gamification in the Metaverse
A systematic review of user experience (UX) design advances associated with Augmented Reality
A comparison of natural language processing algorithms automation of customer response Comparing end-user perceptions of natural language processing algorithms for automated customer response
Analysing the impact of voice-based interfaces on purchase practices in the fast food industry

Research Topic Kickstarter - Need Help Finding A Research Topic?

Topics & Ideas: Information Security

A bibliometric review of current trends in cryptography for secure communication
An analysis of secure multi-party computation protocols and their applications in cloud-based computing
An investigation of the security of blockchain technology in patient health record tracking
A comparative study of symmetric and asymmetric encryption algorithms for instant text messaging
A systematic review of secure data storage solutions used for cloud computing in the fintech industry
An analysis of intrusion detection and prevention systems used in the healthcare sector
Assessing security best practices for IoT devices in political offices
An investigation into the role social media played in shifting regulations related to privacy and the protection of personal data
A comparative study of digital signature schemes adoption in property transfers
An assessment of the security of secure wireless communication systems used in tertiary institutions

Topics & Ideas: Software Engineering

A study of agile software development methodologies and their impact on project success in pharmacology
Investigating the impacts of software refactoring techniques and tools in blockchain-based developments
A study of the impact of DevOps practices on software development and delivery in the healthcare sector
An analysis of software architecture patterns and their impact on the maintainability and scalability of cloud-based offerings
A study of the impact of artificial intelligence and machine learning on software engineering practices in the education sector
An investigation of software testing techniques and methodologies for subscription-based offerings
A review of software security practices and techniques for protecting against phishing attacks from social media
An analysis of the impact of cloud computing on the rate of software development and deployment in the manufacturing sector
Exploring the impact of software development outsourcing on project success in multinational contexts
An investigation into the effect of poor software documentation on app success in the retail sector

CompSci & IT Dissertations/Theses

While the ideas we’ve presented above are a decent starting point for finding a CompSci-related research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.

Below, we’ve included a selection of research projects from various CompSci-related degree programs to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

An array-based optimization framework for query processing and data analytics (Chen, 2021)
Dynamic Object Partitioning and replication for cooperative cache (Asad, 2021)
Embedding constructural documentation in unit tests (Nassif, 2019)
PLASA | Programming Language for Synchronous Agents (Kilaru, 2019)
Healthcare Data Authentication using Deep Neural Network (Sekar, 2020)
Virtual Reality System for Planetary Surface Visualization and Analysis (Quach, 2019)
Artificial neural networks to predict share prices on the Johannesburg stock exchange (Pyon, 2021)
Predicting household poverty with machine learning methods: the case of Malawi (Chinyama, 2022)
Investigating user experience and bias mitigation of the multi-modal retrieval of historical data (Singh, 2021)
Detection of HTTPS malware traffic without decryption (Nyathi, 2022)
Redefining privacy: case study of smart health applications (Al-Zyoud, 2019)
A state-based approach to context modeling and computing (Yue, 2019)
A Novel Cooperative Intrusion Detection System for Mobile Ad Hoc Networks (Solomon, 2019)
HRSB-Tree for Spatio-Temporal Aggregates over Moving Regions (Paduri, 2019)

Looking at these titles, you can probably pick up that the research topics here are quite specific and narrowly-focused , compared to the generic ones presented earlier. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.

Fast-Track Your Research Topic

If you’re still feeling a bit unsure about how to find a research topic for your Computer Science dissertation or research project, check out our Topic Kickstarter service.

11 Comments

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments.

Steps on getting this project topic

I want to work with this topic and I need a guide: assessing the impact of Network topology on Network performance and reliability in LoT-based workspace.

I want to work with this topic, am requesting materials to guide.

Information Technology -MSc program

It’s really interesting but how can I have access to the materials to guide me through my work?

That’s my problem also.

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments is in my favour. May i get the proper material about that ?

BLOCKCHAIN TECHNOLOGY

I NEED TOPIC

Database Management Systems

Can you give me a Research title for system

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How to Contact Faculty for IW/Thesis Advising

Send the professor an e-mail. When you write a professor, be clear that you want a meeting regarding a senior thesis or one-on-one IW project, and briefly describe the topic or idea that you want to work on. Check the faculty listing for email addresses.

*Updated August 1, 2024
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Parastoo Abtahi, Room 419

Available for single-semester IW and senior thesis advising, 2024-2025

Research Areas: Human-Computer Interaction (HCI), Augmented Reality (AR), and Spatial Computing
Input techniques for on-the-go interaction (e.g., eye-gaze, microgestures, voice) with a focus on uncertainty, disambiguation, and privacy.
Minimal and timely multisensory output (e.g., spatial audio, haptics) that enables users to attend to their physical environment and the people around them, instead of a 2D screen.
Interaction with intelligent systems (e.g., IoT, robots) situated in physical spaces with a focus on updating users’ mental model despite the complexity and dynamicity of these systems.

Ryan Adams, Room 411

Research areas:

Machine learning driven design
Generative models for structured discrete objects
Approximate inference in probabilistic models
Accelerating solutions to partial differential equations
Innovative uses of automatic differentiation
Modeling and optimizing 3d printing and CNC machining

Andrew Appel, Room 209

Available for Fall 2024 IW advising, only

Research Areas: Formal methods, programming languages, compilers, computer security.
Software verification (for which taking COS 326 / COS 510 is helpful preparation)
Game theory of poker or other games (for which COS 217 / 226 are helpful)
Computer game-playing programs (for which COS 217 / 226)
Risk-limiting audits of elections (for which ORF 245 or other knowledge of probability is useful)

Sanjeev Arora, Room 407

Theoretical machine learning, deep learning and its analysis, natural language processing. My advisees would typically have taken a course in algorithms (COS423 or COS 521 or equivalent) and a course in machine learning.
Show that finding approximate solutions to NP-complete problems is also NP-complete (i.e., come up with NP-completeness reductions a la COS 487).
Experimental Algorithms: Implementing and Evaluating Algorithms using existing software packages.
Studying/designing provable algorithms for machine learning and implementions using packages like scipy and MATLAB, including applications in Natural language processing and deep learning.
Any topic in theoretical computer science.

David August, Room 221

Not available for IW or thesis advising, 2024-2025

Research Areas: Computer Architecture, Compilers, Parallelism
Containment-based approaches to security: We have designed and tested a simple hardware+software containment mechanism that stops incorrect communication resulting from faults, bugs, or exploits from leaving the system. Let's explore ways to use containment to solve real problems. Expect to work with corporate security and technology decision-makers.
Parallelism: Studies show much more parallelism than is currently realized in compilers and architectures. Let's find ways to realize this parallelism.
Any other interesting topic in computer architecture or compilers.

Mark Braverman, 194 Nassau St., Room 231

Research Areas: computational complexity, algorithms, applied probability, computability over the real numbers, game theory and mechanism design, information theory.
Topics in computational and communication complexity.
Applications of information theory in complexity theory.
Algorithms for problems under real-life assumptions.
Game theory, network effects
Mechanism design (could be on a problem proposed by the student)

Bernard Chazelle, 194 Nassau St., Room 301

Research Areas: Natural Algorithms, Computational Geometry, Sublinear Algorithms.
Natural algorithms (flocking, swarming, social networks, etc).
Sublinear algorithms
Self-improving algorithms
Markov data structures

Danqi Chen, Room 412

My advisees would be expected to have taken a course in machine learning and ideally have taken COS484 or an NLP graduate seminar.
Representation learning for text and knowledge bases
Pre-training and transfer learning
Question answering and reading comprehension
Information extraction
Text summarization
Any other interesting topics related to natural language understanding/generation

Marcel Dall'Agnol, Corwin 034

Research Areas: Theoretical computer science. (Specifically, quantum computation, sublinear algorithms, complexity theory, interactive proofs and cryptography)
Research Areas: Machine learning

Jia Deng, Room 423

Research Areas: Computer Vision, Machine Learning.
Object recognition and action recognition
Deep Learning, autoML, meta-learning
Geometric reasoning, logical reasoning

Adji Bousso Dieng, Room 406

Research areas: Vertaix is a research lab at Princeton University led by Professor Adji Bousso Dieng. We work at the intersection of artificial intelligence (AI) and the natural sciences. The models and algorithms we develop are motivated by problems in those domains and contribute to advancing methodological research in AI. We leverage tools in statistical machine learning and deep learning in developing methods for learning with the data, of various modalities, arising from the natural sciences.

Robert Dondero, Corwin Hall, Room 038

Research Areas: Software engineering; software engineering education.
Develop or evaluate tools to facilitate student learning in undergraduate computer science courses at Princeton, and beyond.
In particular, can code critiquing tools help students learn about software quality?

Zeev Dvir, 194 Nassau St., Room 250

Research Areas: computational complexity, pseudo-randomness, coding theory and discrete mathematics.
Independent Research: I have various research problems related to Pseudorandomness, Coding theory, Complexity and Discrete mathematics - all of which require strong mathematical background. A project could also be based on writing a survey paper describing results from a few theory papers revolving around some particular subject.

Benjamin Eysenbach, Room 416

Research areas: reinforcement learning, machine learning. My advisees would typically have taken COS324.
Using RL algorithms to applications in science and engineering.
Emergent behavior of RL algorithms on high-fidelity robotic simulators.
Studying how architectures and representations can facilitate generalization.

Christiane Fellbaum, 1-S-14 Green

Available for single-semester IW, 2024-2025. No longer available for senior thesis advising.

Research Areas: theoretical and computational linguistics, word sense disambiguation, lexical resource construction, English and multilingual WordNet(s), ontology
Anything having to do with natural language--come and see me with/for ideas suitable to your background and interests. Some topics students have worked on in the past:
Developing parsers, part-of-speech taggers, morphological analyzers for underrepresented languages (you don't have to know the language to develop such tools!)
Quantitative approaches to theoretical linguistics questions
Extensions and interfaces for WordNet (English and WN in other languages),
Applications of WordNet(s), including:
Foreign language tutoring systems,
Spelling correction software,
Word-finding/suggestion software for ordinary users and people with memory problems,
Machine Translation
Sentiment and Opinion detection
Automatic reasoning and inferencing
Collaboration with professors in the social sciences and humanities ("Digital Humanities")

Adam Finkelstein, Room 424

Research Areas: computer graphics, audio.

Robert S. Fish, Corwin Hall, Room 037

Networking and telecommunications
Learning, perception, and intelligence, artificial and otherwise;
Human-computer interaction and computer-supported cooperative work
Online education, especially in Computer Science Education
Topics in research and development innovation methodologies including standards, open-source, and entrepreneurship
Distributed autonomous organizations and related blockchain technologies

Michael Freedman, Room 308

Research Areas: Distributed systems, security, networking
Projects related to streaming data analysis, datacenter systems and networks, untrusted cloud storage and applications. Please see my group website at http://sns.cs.princeton.edu/ for current research projects.

Ruth Fong, Room 032

Research Areas: computer vision, machine learning, deep learning, interpretability, explainable AI, fairness and bias in AI
Develop a technique for understanding AI models
Design a AI model that is interpretable by design
Build a paradigm for detecting and/or correcting failure points in an AI model
Analyze an existing AI model and/or dataset to better understand its failure points
Build a computer vision system for another domain (e.g., medical imaging, satellite data, etc.)
Develop a software package for explainable AI
Adapt explainable AI research to a consumer-facing problem

Note: I am happy to advise any project if there's a sufficient overlap in interest and/or expertise; please reach out via email to chat about project ideas.

Tom Griffiths, Room 405

Research areas: computational cognitive science, computational social science, machine learning and artificial intelligence

Note: I am open to projects that apply ideas from computer science to understanding aspects of human cognition in a wide range of areas, from decision-making to cultural evolution and everything in between. For example, we have current projects analyzing chess game data and magic tricks, both of which give us clues about how human minds work. Students who have expertise or access to data related to games, magic, strategic sports like fencing, or other quantifiable domains of human behavior feel free to get in touch.

Aarti Gupta, Room 220

Research Areas: Formal methods, program analysis, logic decision procedures
Finding bugs in open source software using automatic verification tools
Software verification (program analysis, model checking, test generation)
Decision procedures for logical reasoning (SAT solvers, SMT solvers)

Elad Hazan, Room 409

Research interests: machine learning methods and algorithms, efficient methods for mathematical optimization, regret minimization in games, reinforcement learning, control theory and practice
Machine learning, efficient methods for mathematical optimization, statistical and computational learning theory, regret minimization in games.
Implementation and algorithm engineering for control, reinforcement learning and robotics
Implementation and algorithm engineering for time series prediction

Felix Heide, Room 410

Research Areas: Computational Imaging, Computer Vision, Machine Learning (focus on Optimization and Approximate Inference).
Optical Neural Networks
Hardware-in-the-loop Holography
Zero-shot and Simulation-only Learning
Object recognition in extreme conditions
3D Scene Representations for View Generation and Inverse Problems
Long-range Imaging in Scattering Media
Hardware-in-the-loop Illumination and Sensor Optimization
Inverse Lidar Design
Phase Retrieval Algorithms
Proximal Algorithms for Learning and Inference
Domain-Specific Language for Optics Design

Peter Henderson , 302 Sherrerd Hall

Research Areas: Machine learning, law, and policy

Kyle Jamieson, Room 306

Research areas: Wireless and mobile networking; indoor radar and indoor localization; Internet of Things
See other topics on my independent work ideas page (campus IP and CS dept. login req'd)

Alan Kaplan, 221 Nassau Street, Room 105

Research Areas:

Random apps of kindness - mobile application/technology frameworks used to help individuals or communities; topic areas include, but are not limited to: first response, accessibility, environment, sustainability, social activism, civic computing, tele-health, remote learning, crowdsourcing, etc.
Tools automating programming language interoperability - Java/C++, React Native/Java, etc.
Software visualization tools for education
Connected consumer devices, applications and protocols

Brian Kernighan, Room 311

Research Areas: application-specific languages, document preparation, user interfaces, software tools, programming methodology
Application-oriented languages, scripting languages.
Tools; user interfaces
Digital humanities

Zachary Kincaid, Room 219

Available for Fall 2024 single-semester IW advising, only

Research areas: programming languages, program analysis, program verification, automated reasoning
Independent Research Topics:
Develop a practical algorithm for an intractable problem (e.g., by developing practical search heuristics, or by reducing to, or by identifying a tractable sub-problem, ...).
Design a domain-specific programming language, or prototype a new feature for an existing language.
Any interesting project related to programming languages or logic.

Gillat Kol, Room 316

Research area: theory

Aleksandra Korolova, 309 Sherrerd Hall

Research areas: Societal impacts of algorithms and AI; privacy; fair and privacy-preserving machine learning; algorithm auditing.

Advisees typically have taken one or more of COS 226, COS 324, COS 423, COS 424 or COS 445.

Pravesh Kothari, Room 320

Research areas: Theory

Amit Levy, Room 307

Research Areas: Operating Systems, Distributed Systems, Embedded Systems, Internet of Things
Distributed hardware testing infrastructure
Second factor security tokens
Low-power wireless network protocol implementation
USB device driver implementation

Kai Li, Room 321

Research Areas: Distributed systems; storage systems; content-based search and data analysis of large datasets.
Fast communication mechanisms for heterogeneous clusters.
Approximate nearest-neighbor search for high dimensional data.
Data analysis and prediction of in-patient medical data.
Optimized implementation of classification algorithms on manycore processors.

Xiaoyan Li, 221 Nassau Street, Room 104

Research areas: Information retrieval, novelty detection, question answering, AI, machine learning and data analysis.
Explore new statistical retrieval models for document retrieval and question answering.
Apply AI in various fields.
Apply supervised or unsupervised learning in health, education, finance, and social networks, etc.
Any interesting project related to AI, machine learning, and data analysis.

Lydia Liu, Room 414

Research Areas: algorithmic decision making, machine learning and society
Theoretical foundations for algorithmic decision making (e.g. mathematical modeling of data-driven decision processes, societal level dynamics)
Societal impacts of algorithms and AI through a socio-technical lens (e.g. normative implications of worst case ML metrics, prediction and model arbitrariness)
Machine learning for social impact domains, especially education (e.g. responsible development and use of LLMs for education equity and access)
Evaluation of human-AI decision making using statistical methods (e.g. causal inference of long term impact)

Wyatt Lloyd, Room 323

Research areas: Distributed Systems
Caching algorithms and implementations
Storage systems
Distributed transaction algorithms and implementations

Alex Lombardi , Room 312

Research Areas: Theory

Margaret Martonosi, Room 208

Quantum Computing research, particularly related to architecture and compiler issues for QC.
Computer architectures specialized for modern workloads (e.g., graph analytics, machine learning algorithms, mobile applications
Investigating security and privacy vulnerabilities in computer systems, particularly IoT devices.
Other topics in computer architecture or mobile / IoT systems also possible.

Jonathan Mayer, Sherrerd Hall, Room 307

Available for Spring 2025 single-semester IW, only

Research areas: Technology law and policy, with emphasis on national security, criminal procedure, consumer privacy, network management, and online speech.
Assessing the effects of government policies, both in the public and private sectors.
Collecting new data that relates to government decision making, including surveying current business practices and studying user behavior.
Developing new tools to improve government processes and offer policy alternatives.

Mae Milano, Room 307

Local-first / peer-to-peer systems
Wide-ares storage systems
Consistency and protocol design
Type-safe concurrency
Language design
Gradual typing
Domain-specific languages
Languages for distributed systems

Andrés Monroy-Hernández, Room 405

Research Areas: Human-Computer Interaction, Social Computing, Public-Interest Technology, Augmented Reality, Urban Computing
Research interests:developing public-interest socio-technical systems. We are currently creating alternatives to gig work platforms that are more equitable for all stakeholders. For instance, we are investigating the socio-technical affordances necessary to support a co-op food delivery network owned and managed by workers and restaurants. We are exploring novel system designs that support self-governance, decentralized/federated models, community-centered data ownership, and portable reputation systems. We have opportunities for students interested in human-centered computing, UI/UX design, full-stack software development, and qualitative/quantitative user research.
Beyond our core projects, we are open to working on research projects that explore the use of emerging technologies, such as AR, wearables, NFTs, and DAOs, for creative and out-of-the-box applications.

Christopher Moretti, Corwin Hall, Room 036

Research areas: Distributed systems, high-throughput computing, computer science/engineering education
Expansion, improvement, and evaluation of open-source distributed computing software.
Applications of distributed computing for "big science" (e.g. biometrics, data mining, bioinformatics)
Software and best practices for computer science education and study, especially Princeton's 126/217/226 sequence or MOOCs development
Sports analytics and/or crowd-sourced computing

Radhika Nagpal, F316 Engineering Quadrangle

Research areas: control, robotics and dynamical systems

Karthik Narasimhan, Room 422

Research areas: Natural Language Processing, Reinforcement Learning
Autonomous agents for text-based games ( https://www.microsoft.com/en-us/research/project/textworld/ )
Transfer learning/generalization in NLP
Techniques for generating natural language
Model-based reinforcement learning

Arvind Narayanan, 308 Sherrerd Hall

Research Areas: fair machine learning (and AI ethics more broadly), the social impact of algorithmic systems, tech policy

Pedro Paredes, Corwin Hall, Room 041

My primary research work is in Theoretical Computer Science.

* Research Interest: Spectral Graph theory, Pseudorandomness, Complexity theory, Coding Theory, Quantum Information Theory, Combinatorics.

The IW projects I am interested in advising can be divided into three categories:

1. Theoretical research

I am open to advise work on research projects in any topic in one of my research areas of interest. A project could also be based on writing a survey given results from a few papers. Students should have a solid background in math (e.g., elementary combinatorics, graph theory, discrete probability, basic algebra/calculus) and theoretical computer science (226 and 240 material, like big-O/Omega/Theta, basic complexity theory, basic fundamental algorithms). Mathematical maturity is a must.

A (non exhaustive) list of topics of projects I'm interested in: * Explicit constructions of better vertex expanders and/or unique neighbor expanders. * Construction deterministic or random high dimensional expanders. * Pseudorandom generators for different problems. * Topics around the quantum PCP conjecture. * Topics around quantum error correcting codes and locally testable codes, including constructions, encoding and decoding algorithms.

2. Theory informed practical implementations of algorithms Very often the great advances in theoretical research are either not tested in practice or not even feasible to be implemented in practice. Thus, I am interested in any project that consists in trying to make theoretical ideas applicable in practice. This includes coming up with new algorithms that trade some theoretical guarantees for feasible implementation yet trying to retain the soul of the original idea; implementing new algorithms in a suitable programming language; and empirically testing practical implementations and comparing them with benchmarks / theoretical expectations. A project in this area doesn't have to be in my main areas of research, any theoretical result could be suitable for such a project.

Some examples of areas of interest: * Streaming algorithms. * Numeric linear algebra. * Property testing. * Parallel / Distributed algorithms. * Online algorithms. 3. Machine learning with a theoretical foundation

I am interested in projects in machine learning that have some mathematical/theoretical, even if most of the project is applied. This includes topics like mathematical optimization, statistical learning, fairness and privacy.

One particular area I have been recently interested in is in the area of rating systems (e.g., Chess elo) and applications of this to experts problems.

Final Note: I am also willing to advise any project with any mathematical/theoretical component, even if it's not the main one; please reach out via email to chat about project ideas.

Iasonas Petras, Corwin Hall, Room 033

Research Areas: Information Based Complexity, Numerical Analysis, Quantum Computation.
Prerequisites: Reasonable mathematical maturity. In case of a project related to Quantum Computation a certain familiarity with quantum mechanics is required (related courses: ELE 396/PHY 208).
Possible research topics include:

1. Quantum algorithms and circuits:

i. Design or simulation quantum circuits implementing quantum algorithms.
ii. Design of quantum algorithms solving/approximating continuous problems (such as Eigenvalue problems for Partial Differential Equations).

2. Information Based Complexity:

i. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems in various settings (for example worst case or average case).
ii. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems under new tractability and error criteria.
iii. Necessary and sufficient conditions for tractability of Weighted problems.
iv. Necessary and sufficient conditions for tractability of Weighted Problems under new tractability and error criteria.

3. Topics in Scientific Computation:

i. Randomness, Pseudorandomness, MC and QMC methods and their applications (Finance, etc)

Yuri Pritykin, 245 Carl Icahn Lab

Research interests: Computational biology; Cancer immunology; Regulation of gene expression; Functional genomics; Single-cell technologies.
Potential research projects: Development, implementation, assessment and/or application of algorithms for analysis, integration, interpretation and visualization of multi-dimensional data in molecular biology, particularly single-cell and spatial genomics data.

Benjamin Raphael, Room 309

Research interests: Computational biology and bioinformatics; Cancer genomics; Algorithms and machine learning approaches for analysis of large-scale datasets
Implementation and application of algorithms to infer evolutionary processes in cancer
Identifying correlations between combinations of genomic mutations in human and cancer genomes
Design and implementation of algorithms for genome sequencing from new DNA sequencing technologies
Graph clustering and network anomaly detection, particularly using diffusion processes and methods from spectral graph theory

Vikram Ramaswamy, 035 Corwin Hall

Research areas: Interpretability of AI systems, Fairness in AI systems, Computer vision.
Constructing a new method to explain a model / create an interpretable by design model
Analyzing a current model / dataset to understand bias within the model/dataset
Proposing new fairness evaluations
Proposing new methods to train to improve fairness
Developing synthetic datasets for fairness / interpretability benchmarks
Understanding robustness of models

Ran Raz, Room 240

Research Area: Computational Complexity
Independent Research Topics: Computational Complexity, Information Theory, Quantum Computation, Theoretical Computer Science

Szymon Rusinkiewicz, Room 406

Research Areas: computer graphics; computer vision; 3D scanning; 3D printing; robotics; documentation and visualization of cultural heritage artifacts
Research ways of incorporating rotation invariance into computer visiontasks such as feature matching and classification
Investigate approaches to robust 3D scan matching
Model and compensate for imperfections in 3D printing
Given a collection of small mobile robots, apply control policies learned in simulation to the real robots.

Olga Russakovsky, Room 408

Research Areas: computer vision, machine learning, deep learning, crowdsourcing, fairness&bias in AI
Design a semantic segmentation deep learning model that can operate in a zero-shot setting (i.e., recognize and segment objects not seen during training)
Develop a deep learning classifier that is impervious to protected attributes (such as gender or race) that may be erroneously correlated with target classes
Build a computer vision system for the novel task of inferring what object (or part of an object) a human is referring to when pointing to a single pixel in the image. This includes both collecting an appropriate dataset using crowdsourcing on Amazon Mechanical Turk, creating a new deep learning formulation for this task, and running extensive analysis of both the data and the model

Sebastian Seung, Princeton Neuroscience Institute, Room 153

Research Areas: computational neuroscience, connectomics, "deep learning" neural networks, social computing, crowdsourcing, citizen science
Gamification of neuroscience (EyeWire 2.0)
Semantic segmentation and object detection in brain images from microscopy
Computational analysis of brain structure and function
Neural network theories of brain function

Jaswinder Pal Singh, Room 324

Research Areas: Boundary of technology and business/applications; building and scaling technology companies with special focus at that boundary; parallel computing systems and applications: parallel and distributed applications and their implications for software and architectural design; system software and programming environments for multiprocessors.
Develop a startup company idea, and build a plan/prototype for it.
Explore tradeoffs at the boundary of technology/product and business/applications in a chosen area.
Study and develop methods to infer insights from data in different application areas, from science to search to finance to others.
Design and implement a parallel application. Possible areas include graphics, compression, biology, among many others. Analyze performance bottlenecks using existing tools, and compare programming models/languages.
Design and implement a scalable distributed algorithm.

Mona Singh, Room 420

Research Areas: computational molecular biology, as well as its interface with machine learning and algorithms.
Whole and cross-genome methods for predicting protein function and protein-protein interactions.
Analysis and prediction of biological networks.
Computational methods for inferring specific aspects of protein structure from protein sequence data.
Any other interesting project in computational molecular biology.

Robert Tarjan, 194 Nassau St., Room 308

Research Areas: Data structures; graph algorithms; combinatorial optimization; computational complexity; computational geometry; parallel algorithms.
Implement one or more data structures or combinatorial algorithms to provide insight into their empirical behavior.
Design and/or analyze various data structures and combinatorial algorithms.

Olga Troyanskaya, Room 320

Research Areas: Bioinformatics; analysis of large-scale biological data sets (genomics, gene expression, proteomics, biological networks); algorithms for integration of data from multiple data sources; visualization of biological data; machine learning methods in bioinformatics.
Implement and evaluate one or more gene expression analysis algorithm.
Develop algorithms for assessment of performance of genomic analysis methods.
Develop, implement, and evaluate visualization tools for heterogeneous biological data.

David Walker, Room 211

Research Areas: Programming languages, type systems, compilers, domain-specific languages, software-defined networking and security
Independent Research Topics: Any other interesting project that involves humanitarian hacking, functional programming, domain-specific programming languages, type systems, compilers, software-defined networking, fault tolerance, language-based security, theorem proving, logic or logical frameworks.

Shengyi Wang, Postdoctoral Research Associate, Room 216

Available for Fall 2024 single-semester IW, only

Independent Research topics: Explore Escher-style tilings using (introductory) group theory and automata theory to produce beautiful pictures.

Kevin Wayne, Corwin Hall, Room 040

Research Areas: design, analysis, and implementation of algorithms; data structures; combinatorial optimization; graphs and networks.
Design and implement computer visualizations of algorithms or data structures.
Develop pedagogical tools or programming assignments for the computer science curriculum at Princeton and beyond.
Develop assessment infrastructure and assessments for MOOCs.

Matt Weinberg, 194 Nassau St., Room 222

Research Areas: algorithms, algorithmic game theory, mechanism design, game theoretical problems in {Bitcoin, networking, healthcare}.
Theoretical questions related to COS 445 topics such as matching theory, voting theory, auction design, etc.
Theoretical questions related to incentives in applications like Bitcoin, the Internet, health care, etc. In a little bit more detail: protocols for these systems are often designed assuming that users will follow them. But often, users will actually be strictly happier to deviate from the intended protocol. How should we reason about user behavior in these protocols? How should we design protocols in these settings?

Huacheng Yu, Room 310

data structures
streaming algorithms
design and analyze data structures / streaming algorithms
prove impossibility results (lower bounds)
implement and evaluate data structures / streaming algorithms

Ellen Zhong, Room 314

Opportunities outside the department.

We encourage students to look in to doing interdisciplinary computer science research and to work with professors in departments other than computer science. However, every CS independent work project must have a strong computer science element (even if it has other scientific or artistic elements as well.) To do a project with an adviser outside of computer science you must have permission of the department. This can be accomplished by having a second co-adviser within the computer science department or by contacting the independent work supervisor about the project and having he or she sign the independent work proposal form.

Here is a list of professors outside the computer science department who are eager to work with computer science undergraduates.

Maria Apostolaki, Engineering Quadrangle, C330

Research areas: Computing & Networking, Data & Information Science, Security & Privacy

Branko Glisic, Engineering Quadrangle, Room E330

Documentation of historic structures
Cyber physical systems for structural health monitoring
Developing virtual and augmented reality applications for documenting structures
Applying machine learning techniques to generate 3D models from 2D plans of buildings
Contact : Rebecca Napolitano, rkn2 (@princeton.edu)

Mihir Kshirsagar, Sherrerd Hall, Room 315

Center for Information Technology Policy.

Consumer protection
Content regulation
Competition law
Economic development
Surveillance and discrimination

Sharad Malik, Engineering Quadrangle, Room B224

Select a Senior Thesis Adviser for the 2020-21 Academic Year.

Design of reliable hardware systems
Verifying complex software and hardware systems

Prateek Mittal, Engineering Quadrangle, Room B236

Internet security and privacy
Social Networks
Privacy technologies, anonymous communication
Network Science
Internet security and privacy: The insecurity of Internet protocols and services threatens the safety of our critical network infrastructure and billions of end users. How can we defend end users as well as our critical network infrastructure from attacks?
Trustworthy social systems: Online social networks (OSNs) such as Facebook, Google+, and Twitter have revolutionized the way our society communicates. How can we leverage social connections between users to design the next generation of communication systems?
Privacy Technologies: Privacy on the Internet is eroding rapidly, with businesses and governments mining sensitive user information. How can we protect the privacy of our online communications? The Tor project (https://www.torproject.org/) is a potential application of interest.

Ken Norman, Psychology Dept, PNI 137

Research Areas: Memory, the brain and computation
Lab: Princeton Computational Memory Lab

Potential research topics

Methods for decoding cognitive state information from neuroimaging data (fMRI and EEG)
Neural network simulations of learning and memory

Caroline Savage

Office of Sustainability, Phone:(609)258-7513, Email: cs35 (@princeton.edu)

The Campus as Lab program supports students using the Princeton campus as a living laboratory to solve sustainability challenges. The Office of Sustainability has created a list of campus as lab research questions, filterable by discipline and topic, on its website .

An example from Computer Science could include using TigerEnergy , a platform which provides real-time data on campus energy generation and consumption, to study one of the many energy systems or buildings on campus. Three CS students used TigerEnergy to create a live energy heatmap of campus .

Other potential projects include:

Apply game theory to sustainability challenges
Develop a tool to help visualize interactions between complex campus systems, e.g. energy and water use, transportation and storm water runoff, purchasing and waste, etc.
How can we learn (in aggregate) about individuals’ waste, energy, transportation, and other behaviors without impinging on privacy?

Janet Vertesi, Sociology Dept, Wallace Hall, Room 122

Research areas: Sociology of technology; Human-computer interaction; Ubiquitous computing.
Possible projects: At the intersection of computer science and social science, my students have built mixed reality games, produced artistic and interactive installations, and studied mixed human-robot teams, among other projects.

David Wentzlaff, Engineering Quadrangle, Room 228

Computing, Operating Systems, Sustainable Computing.

Instrument Princeton's Green (HPCRC) data center
Investigate power utilization on an processor core implemented in an FPGA
Dismantle and document all of the components in modern electronics. Invent new ways to build computers that can be recycled easier.
Other topics in parallel computer architecture or operating systems

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101 Best Computer Science Topics for 2023

Any student will know the difficulty that comes with developing and choosing a great topic in computer science. Generally speaking, a good topic should be original, interesting, and challenging. It should push the limits of the field of study while still adequately answering the main questions brought on by the study.

We understand the stress that this may cause students, which is why we’ve dedicated our time to search the web and print resources to find the latest computer science topics that create the biggest waves in the field. Here’s the list of the top computer science research topics for 2023 you can use for an essay or senior thesis :

AP Computer Science Topics for Students Entering College

How has big data impacted the way small businesses conduct market research?
Does machine learning negatively impact the way neurons in the brain work?
Did biotech change how medicine is administered to patients?
How is human perception affected by virtual reality technologies?
How can education benefit from using virtual reality in learning?
Are quantum computers the way of the future or are they just a fad?
Has the Covid-19 pandemic delayed advancements in computer science?

Computer Science Research Paper Topics for High School

How successful has distance learning computer tech been in the time of Covid-19?
Will computer assistance in businesses get rid of customer service needs?
How has encryption and decryption technology changed in the last 20 years?
Can AI impact computer management and make it automated?
Why do programmers avoid making a universal programming language?
How important are human interactions with computer development?
How will computers change in the next five to ten years?

Controversial Topics in Computer Science for Grad Students

What is the difference between math modeling and art?
How are big-budget Hollywood films being affected by CGI technologies?
Should students be allowed to use technology in classrooms other than comp science?
How important is it to limit the amount of time we spend using social media?
Are quantum computers for personal or home use realistic?
How are embedded systems changing the business world?
In what ways can human-computer interactions be improved?

Computer Science Capstone Project Ideas for College Courses

What are the physical limitations of communication and computation?
Is SCRUM methodology still viable for software development?
Are ATMs still secure machines to access money or are they a threat?
What are the best reasons for using open source software?
The future of distributed systems and its use in networks?
Has the increased use of social media positively or negatively affected our relationships?
How is machine learning impacted by artificial intelligence?

Interesting Computer Science Topics for College Students

How has Blockchain impacted large businesses?
Should people utilize internal chips to track their pets?
How much attention should we pay to the content we read on the web?
How can computers help with human genes sequencing?
What can be done to enhance IT security in financial institutions?
What does the digitization of medical fields mean for patients’ privacy?
How efficient are data back-up methods in business?

Hot Topics in Computer Science for High School Students

Is distance learning the new norm for earning postgraduate degrees?
In reaction to the Covid-19 pandemic should more students take online classes?
How can game theory aid in the analysis of algorithms?
How can technology impact future government elections?
Why are there fewer females in the computer science field?
Should the world’s biggest operating systems share information?
Is it safe to make financial transactions online?

Ph.D. Research Topics in Computer Science for Grad Students

How can computer technology help professional athletes improve performance?
How have Next Gen Stats changed the way coaches game plan?
How has computer technology impacted medical technology?
What impact has MatLab software had in the medical engineering field?
How does self-adaptable application impact online learning?
What does the future hold for information technology?
Should we be worried about addiction to computer technology?

Computer Science Research Topics for Undergraduates

How has online sports gambling changed IT needs in households?
In what ways have computers changed learning environments?
How has learning improved with interactive multimedia and similar technologies?
What are the psychological perspectives on IT advancements?
What is the balance between high engagement and addiction to video games?
How has the video gaming industry changed over the decades?
Has social media helped or damaged our communication habits?

Research Paper Topics in Computer Science

What is the most important methodology in project planning?
How has technology improved people’s chances of winning in sports betting?
How has artificial technology impacted the U.S. economy?
What are the most effective project management processes in IT?
How can IT security systems help the practice of fraud score generation?
Has technology had an impact on religion?
How important is it to keep your social networking profiles up to date?

Computer Science Thesis Topics for College Students

How can logic and sets be used in computing?
How has online gambling impacted in-person gambling?
How did the 5-G network generation change communication?
What are the biggest challenges to IT due to Covid-19?
Do you agree that assembly language is a new way to determine data-mine health?
How can computer technology help track down criminals?
Is facial recognition software a violation of privacy rights?

Quick and Easy Computer Science Project Topics

Why do boys and girls learn the technology so differently?
How effective are computer training classes that target young girls?
How does technology affect how medicines are administered?
Will further advancements in technology put people out of work?
How has computer science changed the way teachers educate?
Which are the most effective ways of fighting identify theft?

Excellent Computer Science Thesis Topic Ideas

What are the foreseeable business needs computers will fix?
What are the pros and cons of having smart home technology?
How does computer modernization at the office affect productivity?
How has computer technology led to more job outsourcing?
Do self-service customer centers sufficiently provide solutions?
How can a small business compete without updated computer products?

Computer Science Presentation Topics

What does the future hold for virtual reality?
What are the latest innovations in computer science?
What are the pros and cons of automating everyday life?
Are hackers a real threat to our privacy or just to businesses?
What are the five most effective ways of storing personal data?
What are the most important fundamentals of software engineering?

Even More Topics in Computer Science

In what ways do computers function differently from human brains?
Can world problems be solved through advancements in video game technology?
How has computing helped with the mapping of the human genome?
What are the pros and cons of developing self-operating vehicles?
How has computer science helped developed genetically modified foods?
How are computers used in the field of reproductive technologies?

Our team of academic experts works around the clock to bring you the best project topics for computer science student. We search hundreds of online articles, check discussion boards, and read through a countless number of reports to ensure our computer science topics are up-to-date and represent the latest issues in the field. If you need assistance developing research topics in computer science or need help editing or writing your assignment, we are available to lend a hand all year. Just send us a message “ help me write my thesis ” and we’ll put you in contact with an academic writer in the field.

100 Great Computer Science Research Topics Ideas for 2023

Being a computer student in 2023 is not easy. Besides studying a constantly evolving subject, you have to come up with great computer science research topics at some point in your academic life. If you’re reading this article, you’re among many other students that have also come to this realization.

Interesting Computer Science Topics

Awesome research topics in computer science, hot topics in computer science, topics to publish a journal on computer science.

Controversial Topics in Computer Science

Fun AP Computer Science Topics

Exciting computer science ph.d. topics, remarkable computer science research topics for undergraduates, incredible final year computer science project topics, advanced computer science topics, unique seminars topics for computer science, exceptional computer science masters thesis topics, outstanding computer science presentation topics.

Key Computer Science Essay Topics

Main Project Topics for Computer Science

We Can Help You with Computer Science Topics

Whether you’re earnestly searching for a topic or stumbled onto this article by accident, there is no doubt that every student needs excellent computer science-related topics for their paper. A good topic will not only give your essay or research a good direction but will also make it easy to come up with supporting points. Your topic should show all your strengths as well.

Fortunately, this article is for every student that finds it hard to generate a suitable computer science topic. The following 100+ topics will help give you some inspiration when creating your topics. Let’s get into it.

One of the best ways of making your research paper interesting is by coming up with relevant topics in computer science . Here are some topics that will make your paper immersive:

Evolution of virtual reality
What is green cloud computing
Ways of creating a Hopefield neural network in C++
Developments in graphic systems in computers
The five principal fields in robotics
Developments and applications of nanotechnology
Differences between computer science and applied computing

Your next research topic in computer science shouldn’t be tough to find once you’ve read this section. If you’re looking for simple final year project topics in computer science, you can find some below.

Applications of the blockchain technology in the banking industry
Computational thinking and how it influences science
Ways of terminating phishing
Uses of artificial intelligence in cyber security
Define the concepts of a smart city
Applications of the Internet of Things
Discuss the applications of the face detection application

Whenever a topic is described as “hot,” it means that it is a trendy topic in computer science. If computer science project topics for your final years are what you’re looking for, have a look at some below:

Applications of the Metaverse in the world today
Discuss the challenges of machine learning
Advantages of artificial intelligence
Applications of nanotechnology in the paints industry
What is quantum computing?
Discuss the languages of parallel computing
What are the applications of computer-assisted studies?

Perhaps you’d like to write a paper that will get published in a journal. If you’re searching for the best project topics for computer science students that will stand out in a journal, check below:

Developments in human-computer interaction
Applications of computer science in medicine
Developments in artificial intelligence in image processing
Discuss cryptography and its applications
Discuss methods of ransomware prevention
Applications of Big Data in the banking industry
Challenges of cloud storage services in 2023

Controversial Topics in Computer Science

Some of the best computer science final year project topics are those that elicit debates or require you to take a stand. You can find such topics listed below for your inspiration:

Can robots be too intelligent?
Should the dark web be shut down?
Should your data be sold to corporations?
Will robots completely replace the human workforce one day?
How safe is the Metaverse for children?
Will artificial intelligence replace actors in Hollywood?
Are social media platforms safe anymore?

Are you a computer science student looking for AP topics? You’re in luck because the following final year project topics for computer science are suitable for you.

Standard browser core with CSS support
Applications of the Gaussian method in C++ development in integrating functions
Vital conditions of reducing risk through the Newton method
How to reinforce machine learning algorithms.
How do artificial neural networks function?
Discuss the advancements in computer languages in machine learning
Use of artificial intelligence in automated cars

When studying to get your doctorate in computer science, you need clear and relevant topics that generate the reader’s interest. Here are some Ph.D. topics in computer science you might consider:

Developments in information technology
Is machine learning detrimental to the human workforce?
How to write an algorithm for deep learning
What is the future of 5G in wireless networks
Statistical data in Maths modules in Python
Data retention automation from a website using API
Application of modern programming languages

Looking for computer science topics for research is not easy for an undergraduate. Fortunately, these computer science project topics should make your research paper easy:

Ways of using artificial intelligence in real estate
Discuss reinforcement learning and its applications
Uses of Big Data in science and medicine
How to sort algorithms using Haskell
How to create 3D configurations for a website
Using inverse interpolation to solve non-linear equations
Explain the similarities between the Internet of Things and artificial intelligence

Your dissertation paper is one of the most crucial papers you’ll ever do in your final year. That’s why selecting the best ethics in computer science topics is a crucial part of your paper. Here are some project topics for the computer science final year.

How to incorporate numerical methods in programming
Applications of blockchain technology in cloud storage
How to come up with an automated attendance system
Using dynamic libraries for site development
How to create cubic splines
Applications of artificial intelligence in the stock market
Uses of quantum computing in financial modeling

Your instructor may want you to challenge yourself with an advanced science project. Thus, you may require computer science topics to learn and research. Here are some that may inspire you:

Discuss the best cryptographic protocols
Advancement of artificial intelligence used in smartphones
Briefly discuss the types of security software available
Application of liquid robots in 2023
How to use quantum computers to solve decoherence problem
macOS vs. Windows; discuss their similarities and differences
Explain the steps taken in a cyber security audit

When searching for computer science topics for a seminar, make sure they are based on current research or events. Below are some of the latest research topics in computer science:

How to reduce cyber-attacks in 2023
Steps followed in creating a network
Discuss the uses of data science
Discuss ways in which social robots improve human interactions
Differentiate between supervised and unsupervised machine learning
Applications of robotics in space exploration
The contrast between cyber-physical and sensor network systems

Are you looking for computer science thesis topics for your upcoming projects? The topics below are meant to help you write your best paper yet:

Applications of computer science in sports
Uses of computer technology in the electoral process
Using Fibonacci to solve the functions maximum and their implementations
Discuss the advantages of using open-source software
Expound on the advancement of computer graphics
Briefly discuss the uses of mesh generation in computational domains
How much data is generated from the internet of things?

A computer science presentation requires a topic relevant to current events. Whether your paper is an assignment or a dissertation, you can find your final year computer science project topics below:

Uses of adaptive learning in the financial industry
Applications of transitive closure on graph
Using RAD technology in developing software
Discuss how to create maximum flow in the network
How to design and implement functional mapping
Using artificial intelligence in courier tracking and deliveries
How to make an e-authentication system

Key Computer Science Essay Topics

You may be pressed for time and require computer science master thesis topics that are easy. Below are some topics that fit this description:

What are the uses of cloud computing in 2023
Discuss the server-side web technologies
Compare and contrast android and iOS
How to come up with a face detection algorithm
What is the future of NFTs
How to create an artificial intelligence shopping system
How to make a software piracy prevention algorithm

One major mistake students make when writing their papers is selecting topics unrelated to the study at hand. This, however, will not be an issue if you get topics related to computer science, such as the ones below:

Using blockchain to create a supply chain management system
How to protect a web app from malicious attacks
Uses of distributed information processing systems
Advancement of crowd communication software since COVID-19
Uses of artificial intelligence in online casinos
Discuss the pillars of math computations
Discuss the ethical concerns arising from data mining

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500+ Computer Science Research Topics

Computer Science is a constantly evolving field that has transformed the world we live in today. With new technologies emerging every day, there are countless research opportunities in this field. Whether you are interested in artificial intelligence, machine learning, cybersecurity, data analytics, or computer networks, there are endless possibilities to explore. In this post, we will delve into some of the most interesting and important research topics in Computer Science. From the latest advancements in programming languages to the development of cutting-edge algorithms, we will explore the latest trends and innovations that are shaping the future of Computer Science. So, whether you are a student or a professional, read on to discover some of the most exciting research topics in this dynamic and rapidly expanding field.

Computer Science Research Topics

Computer Science Research Topics are as follows:

Using machine learning to detect and prevent cyber attacks
Developing algorithms for optimized resource allocation in cloud computing
Investigating the use of blockchain technology for secure and decentralized data storage
Developing intelligent chatbots for customer service
Investigating the effectiveness of deep learning for natural language processing
Developing algorithms for detecting and removing fake news from social media
Investigating the impact of social media on mental health
Developing algorithms for efficient image and video compression
Investigating the use of big data analytics for predictive maintenance in manufacturing
Developing algorithms for identifying and mitigating bias in machine learning models
Investigating the ethical implications of autonomous vehicles
Developing algorithms for detecting and preventing cyberbullying
Investigating the use of machine learning for personalized medicine
Developing algorithms for efficient and accurate speech recognition
Investigating the impact of social media on political polarization
Developing algorithms for sentiment analysis in social media data
Investigating the use of virtual reality in education
Developing algorithms for efficient data encryption and decryption
Investigating the impact of technology on workplace productivity
Developing algorithms for detecting and mitigating deepfakes
Investigating the use of artificial intelligence in financial trading
Developing algorithms for efficient database management
Investigating the effectiveness of online learning platforms
Developing algorithms for efficient and accurate facial recognition
Investigating the use of machine learning for predicting weather patterns
Developing algorithms for efficient and secure data transfer
Investigating the impact of technology on social skills and communication
Developing algorithms for efficient and accurate object recognition
Investigating the use of machine learning for fraud detection in finance
Developing algorithms for efficient and secure authentication systems
Investigating the impact of technology on privacy and surveillance
Developing algorithms for efficient and accurate handwriting recognition
Investigating the use of machine learning for predicting stock prices
Developing algorithms for efficient and secure biometric identification
Investigating the impact of technology on mental health and well-being
Developing algorithms for efficient and accurate language translation
Investigating the use of machine learning for personalized advertising
Developing algorithms for efficient and secure payment systems
Investigating the impact of technology on the job market and automation
Developing algorithms for efficient and accurate object tracking
Investigating the use of machine learning for predicting disease outbreaks
Developing algorithms for efficient and secure access control
Investigating the impact of technology on human behavior and decision making
Developing algorithms for efficient and accurate sound recognition
Investigating the use of machine learning for predicting customer behavior
Developing algorithms for efficient and secure data backup and recovery
Investigating the impact of technology on education and learning outcomes
Developing algorithms for efficient and accurate emotion recognition
Investigating the use of machine learning for improving healthcare outcomes
Developing algorithms for efficient and secure supply chain management
Investigating the impact of technology on cultural and societal norms
Developing algorithms for efficient and accurate gesture recognition
Investigating the use of machine learning for predicting consumer demand
Developing algorithms for efficient and secure cloud storage
Investigating the impact of technology on environmental sustainability
Developing algorithms for efficient and accurate voice recognition
Investigating the use of machine learning for improving transportation systems
Developing algorithms for efficient and secure mobile device management
Investigating the impact of technology on social inequality and access to resources
Machine learning for healthcare diagnosis and treatment
Machine Learning for Cybersecurity
Machine learning for personalized medicine
Cybersecurity threats and defense strategies
Big data analytics for business intelligence
Blockchain technology and its applications
Human-computer interaction in virtual reality environments
Artificial intelligence for autonomous vehicles
Natural language processing for chatbots
Cloud computing and its impact on the IT industry
Internet of Things (IoT) and smart homes
Robotics and automation in manufacturing
Augmented reality and its potential in education
Data mining techniques for customer relationship management
Computer vision for object recognition and tracking
Quantum computing and its applications in cryptography
Social media analytics and sentiment analysis
Recommender systems for personalized content delivery
Mobile computing and its impact on society
Bioinformatics and genomic data analysis
Deep learning for image and speech recognition
Digital signal processing and audio processing algorithms
Cloud storage and data security in the cloud
Wearable technology and its impact on healthcare
Computational linguistics for natural language understanding
Cognitive computing for decision support systems
Cyber-physical systems and their applications
Edge computing and its impact on IoT
Machine learning for fraud detection
Cryptography and its role in secure communication
Cybersecurity risks in the era of the Internet of Things
Natural language generation for automated report writing
3D printing and its impact on manufacturing
Virtual assistants and their applications in daily life
Cloud-based gaming and its impact on the gaming industry
Computer networks and their security issues
Cyber forensics and its role in criminal investigations
Machine learning for predictive maintenance in industrial settings
Augmented reality for cultural heritage preservation
Human-robot interaction and its applications
Data visualization and its impact on decision-making
Cybersecurity in financial systems and blockchain
Computer graphics and animation techniques
Biometrics and its role in secure authentication
Cloud-based e-learning platforms and their impact on education
Natural language processing for machine translation
Machine learning for predictive maintenance in healthcare
Cybersecurity and privacy issues in social media
Computer vision for medical image analysis
Natural language generation for content creation
Cybersecurity challenges in cloud computing
Human-robot collaboration in manufacturing
Data mining for predicting customer churn
Artificial intelligence for autonomous drones
Cybersecurity risks in the healthcare industry
Machine learning for speech synthesis
Edge computing for low-latency applications
Virtual reality for mental health therapy
Quantum computing and its applications in finance
Biomedical engineering and its applications
Cybersecurity in autonomous systems
Machine learning for predictive maintenance in transportation
Computer vision for object detection in autonomous driving
Augmented reality for industrial training and simulations
Cloud-based cybersecurity solutions for small businesses
Natural language processing for knowledge management
Machine learning for personalized advertising
Cybersecurity in the supply chain management
Cybersecurity risks in the energy sector
Computer vision for facial recognition
Natural language processing for social media analysis
Machine learning for sentiment analysis in customer reviews
Explainable Artificial Intelligence
Quantum Computing
Blockchain Technology
Human-Computer Interaction
Natural Language Processing
Cloud Computing
Robotics and Automation
Augmented Reality and Virtual Reality
Cyber-Physical Systems
Computational Neuroscience
Big Data Analytics
Computer Vision
Cryptography and Network Security
Internet of Things
Computer Graphics and Visualization
Artificial Intelligence for Game Design
Computational Biology
Social Network Analysis
Bioinformatics
Distributed Systems and Middleware
Information Retrieval and Data Mining
Computer Networks
Mobile Computing and Wireless Networks
Software Engineering
Database Systems
Parallel and Distributed Computing
Human-Robot Interaction
Intelligent Transportation Systems
High-Performance Computing
Cyber-Physical Security
Deep Learning
Sensor Networks
Multi-Agent Systems
Human-Centered Computing
Wearable Computing
Knowledge Representation and Reasoning
Adaptive Systems
Brain-Computer Interface
Health Informatics
Cognitive Computing
Cybersecurity and Privacy
Internet Security
Cybercrime and Digital Forensics
Cloud Security
Cryptocurrencies and Digital Payments
Machine Learning for Natural Language Generation
Cognitive Robotics
Neural Networks
Semantic Web
Image Processing
Cyber Threat Intelligence
Secure Mobile Computing
Cybersecurity Education and Training
Privacy Preserving Techniques
Cyber-Physical Systems Security
Virtualization and Containerization
Machine Learning for Computer Vision
Network Function Virtualization
Cybersecurity Risk Management
Information Security Governance
Intrusion Detection and Prevention
Biometric Authentication
Machine Learning for Predictive Maintenance
Security in Cloud-based Environments
Cybersecurity for Industrial Control Systems
Smart Grid Security
Software Defined Networking
Quantum Cryptography
Security in the Internet of Things
Natural language processing for sentiment analysis
Blockchain technology for secure data sharing
Developing efficient algorithms for big data analysis
Cybersecurity for internet of things (IoT) devices
Human-robot interaction for industrial automation
Image recognition for autonomous vehicles
Social media analytics for marketing strategy
Quantum computing for solving complex problems
Biometric authentication for secure access control
Augmented reality for education and training
Intelligent transportation systems for traffic management
Predictive modeling for financial markets
Cloud computing for scalable data storage and processing
Virtual reality for therapy and mental health treatment
Data visualization for business intelligence
Recommender systems for personalized product recommendations
Speech recognition for voice-controlled devices
Mobile computing for real-time location-based services
Neural networks for predicting user behavior
Genetic algorithms for optimization problems
Distributed computing for parallel processing
Internet of things (IoT) for smart cities
Wireless sensor networks for environmental monitoring
Cloud-based gaming for high-performance gaming
Social network analysis for identifying influencers
Autonomous systems for agriculture
Robotics for disaster response
Data mining for customer segmentation
Computer graphics for visual effects in movies and video games
Virtual assistants for personalized customer service
Natural language understanding for chatbots
3D printing for manufacturing prototypes
Artificial intelligence for stock trading
Machine learning for weather forecasting
Biomedical engineering for prosthetics and implants
Cybersecurity for financial institutions
Machine learning for energy consumption optimization
Computer vision for object tracking
Natural language processing for document summarization
Wearable technology for health and fitness monitoring
Internet of things (IoT) for home automation
Reinforcement learning for robotics control
Big data analytics for customer insights
Machine learning for supply chain optimization
Natural language processing for legal document analysis
Artificial intelligence for drug discovery
Computer vision for object recognition in robotics
Data mining for customer churn prediction
Autonomous systems for space exploration
Robotics for agriculture automation
Machine learning for predicting earthquakes
Natural language processing for sentiment analysis in customer reviews
Big data analytics for predicting natural disasters
Internet of things (IoT) for remote patient monitoring
Blockchain technology for digital identity management
Machine learning for predicting wildfire spread
Computer vision for gesture recognition
Natural language processing for automated translation
Big data analytics for fraud detection in banking
Internet of things (IoT) for smart homes
Robotics for warehouse automation
Machine learning for predicting air pollution
Natural language processing for medical record analysis
Augmented reality for architectural design
Big data analytics for predicting traffic congestion
Machine learning for predicting customer lifetime value
Developing algorithms for efficient and accurate text recognition
Natural Language Processing for Virtual Assistants
Natural Language Processing for Sentiment Analysis in Social Media
Explainable Artificial Intelligence (XAI) for Trust and Transparency
Deep Learning for Image and Video Retrieval
Edge Computing for Internet of Things (IoT) Applications
Data Science for Social Media Analytics
Cybersecurity for Critical Infrastructure Protection
Natural Language Processing for Text Classification
Quantum Computing for Optimization Problems
Machine Learning for Personalized Health Monitoring
Computer Vision for Autonomous Driving
Blockchain Technology for Supply Chain Management
Augmented Reality for Education and Training
Natural Language Processing for Sentiment Analysis
Machine Learning for Personalized Marketing
Big Data Analytics for Financial Fraud Detection
Cybersecurity for Cloud Security Assessment
Artificial Intelligence for Natural Language Understanding
Blockchain Technology for Decentralized Applications
Virtual Reality for Cultural Heritage Preservation
Natural Language Processing for Named Entity Recognition
Machine Learning for Customer Churn Prediction
Big Data Analytics for Social Network Analysis
Cybersecurity for Intrusion Detection and Prevention
Artificial Intelligence for Robotics and Automation
Blockchain Technology for Digital Identity Management
Virtual Reality for Rehabilitation and Therapy
Natural Language Processing for Text Summarization
Machine Learning for Credit Risk Assessment
Big Data Analytics for Fraud Detection in Healthcare
Cybersecurity for Internet Privacy Protection
Artificial Intelligence for Game Design and Development
Blockchain Technology for Decentralized Social Networks
Virtual Reality for Marketing and Advertising
Natural Language Processing for Opinion Mining
Machine Learning for Anomaly Detection
Big Data Analytics for Predictive Maintenance in Transportation
Cybersecurity for Network Security Management
Artificial Intelligence for Personalized News and Content Delivery
Blockchain Technology for Cryptocurrency Mining
Virtual Reality for Architectural Design and Visualization
Natural Language Processing for Machine Translation
Machine Learning for Automated Image Captioning
Big Data Analytics for Stock Market Prediction
Cybersecurity for Biometric Authentication Systems
Artificial Intelligence for Human-Robot Interaction
Blockchain Technology for Smart Grids
Virtual Reality for Sports Training and Simulation
Natural Language Processing for Question Answering Systems
Machine Learning for Sentiment Analysis in Customer Feedback
Big Data Analytics for Predictive Maintenance in Manufacturing
Cybersecurity for Cloud-Based Systems
Artificial Intelligence for Automated Journalism
Blockchain Technology for Intellectual Property Management
Virtual Reality for Therapy and Rehabilitation
Natural Language Processing for Language Generation
Machine Learning for Customer Lifetime Value Prediction
Big Data Analytics for Predictive Maintenance in Energy Systems
Cybersecurity for Secure Mobile Communication
Artificial Intelligence for Emotion Recognition
Blockchain Technology for Digital Asset Trading
Virtual Reality for Automotive Design and Visualization
Natural Language Processing for Semantic Web
Machine Learning for Fraud Detection in Financial Transactions
Big Data Analytics for Social Media Monitoring
Cybersecurity for Cloud Storage and Sharing
Artificial Intelligence for Personalized Education
Blockchain Technology for Secure Online Voting Systems
Virtual Reality for Cultural Tourism
Natural Language Processing for Chatbot Communication
Machine Learning for Medical Diagnosis and Treatment
Big Data Analytics for Environmental Monitoring and Management.
Cybersecurity for Cloud Computing Environments
Virtual Reality for Training and Simulation
Big Data Analytics for Sports Performance Analysis
Cybersecurity for Internet of Things (IoT) Devices
Artificial Intelligence for Traffic Management and Control
Blockchain Technology for Smart Contracts
Natural Language Processing for Document Summarization
Machine Learning for Image and Video Recognition
Blockchain Technology for Digital Asset Management
Virtual Reality for Entertainment and Gaming
Natural Language Processing for Opinion Mining in Online Reviews
Machine Learning for Customer Relationship Management
Big Data Analytics for Environmental Monitoring and Management
Cybersecurity for Network Traffic Analysis and Monitoring
Artificial Intelligence for Natural Language Generation
Blockchain Technology for Supply Chain Transparency and Traceability
Virtual Reality for Design and Visualization
Natural Language Processing for Speech Recognition
Machine Learning for Recommendation Systems
Big Data Analytics for Customer Segmentation and Targeting
Cybersecurity for Biometric Authentication
Artificial Intelligence for Human-Computer Interaction
Blockchain Technology for Decentralized Finance (DeFi)
Virtual Reality for Tourism and Cultural Heritage
Machine Learning for Cybersecurity Threat Detection and Prevention
Big Data Analytics for Healthcare Cost Reduction
Cybersecurity for Data Privacy and Protection
Artificial Intelligence for Autonomous Vehicles
Blockchain Technology for Cryptocurrency and Blockchain Security
Virtual Reality for Real Estate Visualization
Natural Language Processing for Question Answering
Big Data Analytics for Financial Markets Prediction
Cybersecurity for Cloud-Based Machine Learning Systems
Artificial Intelligence for Personalized Advertising
Blockchain Technology for Digital Identity Verification
Virtual Reality for Cultural and Language Learning
Natural Language Processing for Semantic Analysis
Machine Learning for Business Forecasting
Big Data Analytics for Social Media Marketing
Artificial Intelligence for Content Generation
Blockchain Technology for Smart Cities
Virtual Reality for Historical Reconstruction
Natural Language Processing for Knowledge Graph Construction
Machine Learning for Speech Synthesis
Big Data Analytics for Traffic Optimization
Artificial Intelligence for Social Robotics
Blockchain Technology for Healthcare Data Management
Virtual Reality for Disaster Preparedness and Response
Natural Language Processing for Multilingual Communication
Machine Learning for Emotion Recognition
Big Data Analytics for Human Resources Management
Cybersecurity for Mobile App Security
Artificial Intelligence for Financial Planning and Investment
Blockchain Technology for Energy Management
Virtual Reality for Cultural Preservation and Heritage.
Big Data Analytics for Healthcare Management
Cybersecurity in the Internet of Things (IoT)
Artificial Intelligence for Predictive Maintenance
Computational Biology for Drug Discovery
Virtual Reality for Mental Health Treatment
Machine Learning for Sentiment Analysis in Social Media
Human-Computer Interaction for User Experience Design
Cloud Computing for Disaster Recovery
Quantum Computing for Cryptography
Intelligent Transportation Systems for Smart Cities
Cybersecurity for Autonomous Vehicles
Artificial Intelligence for Fraud Detection in Financial Systems
Social Network Analysis for Marketing Campaigns
Cloud Computing for Video Game Streaming
Machine Learning for Speech Recognition
Augmented Reality for Architecture and Design
Natural Language Processing for Customer Service Chatbots
Machine Learning for Climate Change Prediction
Big Data Analytics for Social Sciences
Artificial Intelligence for Energy Management
Virtual Reality for Tourism and Travel
Cybersecurity for Smart Grids
Machine Learning for Image Recognition
Augmented Reality for Sports Training
Natural Language Processing for Content Creation
Cloud Computing for High-Performance Computing
Artificial Intelligence for Personalized Medicine
Virtual Reality for Architecture and Design
Augmented Reality for Product Visualization
Natural Language Processing for Language Translation
Cybersecurity for Cloud Computing
Artificial Intelligence for Supply Chain Optimization
Blockchain Technology for Digital Voting Systems
Virtual Reality for Job Training
Augmented Reality for Retail Shopping
Natural Language Processing for Sentiment Analysis in Customer Feedback
Cloud Computing for Mobile Application Development
Artificial Intelligence for Cybersecurity Threat Detection
Blockchain Technology for Intellectual Property Protection
Virtual Reality for Music Education
Machine Learning for Financial Forecasting
Augmented Reality for Medical Education
Natural Language Processing for News Summarization
Cybersecurity for Healthcare Data Protection
Artificial Intelligence for Autonomous Robots
Virtual Reality for Fitness and Health
Machine Learning for Natural Language Understanding
Augmented Reality for Museum Exhibits
Natural Language Processing for Chatbot Personality Development
Cloud Computing for Website Performance Optimization
Artificial Intelligence for E-commerce Recommendation Systems
Blockchain Technology for Supply Chain Traceability
Virtual Reality for Military Training
Augmented Reality for Advertising
Natural Language Processing for Chatbot Conversation Management
Cybersecurity for Cloud-Based Services
Artificial Intelligence for Agricultural Management
Blockchain Technology for Food Safety Assurance
Virtual Reality for Historical Reenactments
Machine Learning for Cybersecurity Incident Response.
Secure Multiparty Computation
Federated Learning
Internet of Things Security
Blockchain Scalability
Quantum Computing Algorithms
Explainable AI
Data Privacy in the Age of Big Data
Adversarial Machine Learning
Deep Reinforcement Learning
Online Learning and Streaming Algorithms
Graph Neural Networks
Automated Debugging and Fault Localization
Mobile Application Development
Software Engineering for Cloud Computing
Cryptocurrency Security
Edge Computing for Real-Time Applications
Natural Language Generation
Virtual and Augmented Reality
Computational Biology and Bioinformatics
Internet of Things Applications
Robotics and Autonomous Systems
Explainable Robotics
3D Printing and Additive Manufacturing
Distributed Systems
Parallel Computing
Data Center Networking
Data Mining and Knowledge Discovery
Information Retrieval and Search Engines
Network Security and Privacy
Cloud Computing Security
Data Analytics for Business Intelligence
Neural Networks and Deep Learning
Reinforcement Learning for Robotics
Automated Planning and Scheduling
Evolutionary Computation and Genetic Algorithms
Formal Methods for Software Engineering
Computational Complexity Theory
Bio-inspired Computing
Computer Vision for Object Recognition
Automated Reasoning and Theorem Proving
Natural Language Understanding
Machine Learning for Healthcare
Scalable Distributed Systems
Sensor Networks and Internet of Things
Smart Grids and Energy Systems
Software Testing and Verification
Web Application Security
Wireless and Mobile Networks
Computer Architecture and Hardware Design
Digital Signal Processing
Game Theory and Mechanism Design
Multi-agent Systems
Evolutionary Robotics
Quantum Machine Learning
Computational Social Science
Explainable Recommender Systems.
Artificial Intelligence and its applications
Cloud computing and its benefits
Cybersecurity threats and solutions
Internet of Things and its impact on society
Virtual and Augmented Reality and its uses
Blockchain Technology and its potential in various industries
Web Development and Design
Digital Marketing and its effectiveness
Big Data and Analytics
Software Development Life Cycle
Gaming Development and its growth
Network Administration and Maintenance
Machine Learning and its uses
Data Warehousing and Mining
Computer Architecture and Design
Computer Graphics and Animation
Quantum Computing and its potential
Data Structures and Algorithms
Computer Vision and Image Processing
Robotics and its applications
Operating Systems and its functions
Information Theory and Coding
Compiler Design and Optimization
Computer Forensics and Cyber Crime Investigation
Distributed Computing and its significance
Artificial Neural Networks and Deep Learning
Cloud Storage and Backup
Programming Languages and their significance
Computer Simulation and Modeling
Computer Networks and its types
Information Security and its types
Computer-based Training and eLearning
Medical Imaging and its uses
Social Media Analysis and its applications
Human Resource Information Systems
Computer-Aided Design and Manufacturing
Multimedia Systems and Applications
Geographic Information Systems and its uses
Computer-Assisted Language Learning
Mobile Device Management and Security
Data Compression and its types
Knowledge Management Systems
Text Mining and its uses
Cyber Warfare and its consequences
Wireless Networks and its advantages
Computer Ethics and its importance
Computational Linguistics and its applications
Autonomous Systems and Robotics
Information Visualization and its importance
Geographic Information Retrieval and Mapping
Business Intelligence and its benefits
Digital Libraries and their significance
Artificial Life and Evolutionary Computation
Computer Music and its types
Virtual Teams and Collaboration
Computer Games and Learning
Semantic Web and its applications
Electronic Commerce and its advantages
Multimedia Databases and their significance
Computer Science Education and its importance
Computer-Assisted Translation and Interpretation
Ambient Intelligence and Smart Homes
Autonomous Agents and Multi-Agent Systems.

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Home > Engineering > Computer Science > Computer Science Graduate Projects

Computer Science Graduate Projects and Theses

Theses/dissertations from 2023 2023.

High-Performance Domain-Specific Library for Hydrologic Data Processing , Kalyan Bhetwal

Evaluating Learning Geometric Concepts to Generate Predicate Abstract Domains in Static Program Analysis , Patrick Chadbourne

Verifying Data Provenance During Workflow Execution for Scientific Reproducibility , Rizbanul Hasan

Remote Sensing to Advance Understanding of Snow-Vegetation Relationships and Quantify Snow Depth and Snow Water Equivalent , Ahmad Hojatimalekshah

Exploring the Capability of a Self-Supervised Conditional Image Generator for Image-to-Image Translation without Labeled Data: A Case Study in Mobile User Interface Design , Hailee Kiesecker

Fake News Detection Using Narrative Content and Discourse , Hongmin Kim

Anomaly Detection Using Graph Neural Network , Bishal Lakha

Robust Digital Nucleic Acid Memory , Golam Md Mortuza

Risk Assessment and Solutions for Two Domains: Election Procedures and Privacy Disclosure Prevention for Users , Kamryn DeAnn Parker

Sparse Format Conversion and Code Synthesis , Tobi Goodness Popoola

Fair Layouts in Information Access Systems: Provider-Side Group Fairness in Ranking Beyond Ranked Lists , Amifa Raj

Virtual Curtain: A Communicative Fine-Grained Privacy Control Framework for Augmented Reality , Aakash Shrestha

Portable Sparse Polyhedral Framework Code Generation Using Multi Level Intermediate Representation , Aaron St. George

Transformer Reinforcement Learning Approach to Attack Automatic Fake News Detectors , Chandler Underwood

Severity Measures for Assessing Error in Automatic Speech Recognition , Ryan Whetten

Theses/Dissertations from 2022 2022

Improved Computational Prediction of Function and Structural Representation of Self-Cleaving Ribozymes with Enhanced Parameter Selection and Library Design , James D. Beck

Meshfree Methods for PDEs on Surfaces , Andrew Michael Jones

Deep Learning of Microstructures , Amir Abbas Kazemzadeh Farizhandi

Long-Term Trends in Extreme Environmental Events with Changepoint Detection , Mintaek Lee

Structure Aware Smart Encoding and Decoding of Information in DNA , Shoshanna Llewellyn

Towards Making Transformer-Based Language Models Learn How Children Learn , Yousra Mahdy

Ontology-Based Formal Approach for Safety and Security Verification of Industrial Control Systems , Ramesh Neupane

Improving Children's Authentication Practices with Respect to Graphical Authentication Mechanism , Dhanush Kumar Ratakonda

Hate Speech Detection Using Textual and User Features , Rohan Raut

Automated Detection of Sockpuppet Accounts in Wikipedia , Mostofa Najmus Sakib

Characterization and Mitigation of False Information on the Web , Anu Shrestha

Sinusoidal Projection for 360° Image Compression and Triangular Discrete Cosine Transform Impact in the JPEG Pipeline , Iker Vazquez Lopez

Theses/Dissertations from 2021 2021

Training Wheels for Web Search: Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom , Garrett Allen

Fair and Efficient Consensus Protocols for Secure Blockchain Applications , Golam Dastoger Bashar

Why Don't You Act Your Age?: Recognizing the Stereotypical 8-12 Year Old Searcher by Their Search Behavior , Michael Green

Ensuring Consistency and Efficiency of the Incremental Unit Network in a Distributed Architecture , Mir Tahsin Imtiaz

Modeling Real and Fake News Sharing in Social Networks , Abishai Joy

Modeling and Analyzing Users' Privacy Disclosure Behavior to Generate Personalized Privacy Policies , A.K.M. Nuhil Mehdy

Into the Unknown: Exploration of Search Engines' Responses to Users with Depression and Anxiety , Ashlee Milton

Generating Test Inputs from String Constraints with an Automata-Based Solver , Marlin Roberts

A Case Study in Representing Scientific Applications ( GeoAc ) Using the Sparse Polyhedral Framework , Ravi Shankar

Actors for the Internet of Things , Arjun Shukla

Theses/Dissertations from 2020 2020

Towards Unifying Grounded and Distributional Semantics Using the Words-as-Classifiers Model of Lexical Semantics , Stacy Black

Improving Scientist Productivity, Architecture Portability, and Performance in ParFlow , Michael Burke

Polyhedral+Dataflow Graphs , Eddie C. Davis

Improving Spellchecking for Children: Correction and Design , Brody Downs

A Collection of Fast Algorithms for Scalar and Vector-Valued Data on Irregular Domains: Spherical Harmonic Analysis, Divergence-Free/Curl-Free Radial Basis Functions, and Implicit Surface Reconstruction , Kathryn Primrose Drake

Privacy-Preserving Protocol for Atomic Swap Between Blockchains , Kiran Gurung

Unsupervised Structural Graph Node Representation Learning , Mikel Joaristi

Detecting Undisclosed Paid Editing in Wikipedia , Nikesh Joshi

Do You Feel Me?: Learning Language from Humans with Robot Emotional Displays , David McNeill

Obtaining Real-World Benchmark Programs from Open-Source Repositories Through Abstract-Semantics Preserving Transformations , Maria Anne Rachel Paquin

Content Based Image Retrieval (CBIR) for Brand Logos , Enjal Parajuli

A Resilience Metric for Modern Power Distribution Systems , Tyler Bennett Phillips

Theses/Dissertations from 2019 2019

Edge-Assisted Workload-Aware Image Processing System , Anil Acharya

MINOS: Unsupervised Netflow-Based Detection of Infected and Attacked Hosts, and Attack Time in Large Networks , Mousume Bhowmick

Deviant: A Mutation Testing Tool for Solidity Smart Contracts , Patrick Chapman

Querying Over Encrypted Databases in a Cloud Environment , Jake Douglas

A Hybrid Model to Detect Fake News , Indhumathi Gurunathan

Suitability of Finite State Automata to Model String Constraints in Probablistic Symbolic Execution , Andrew Harris

UNICORN Framework: A User-Centric Approach Toward Formal Verification of Privacy Norms , Rezvan Joshaghani

Detection and Countermeasure of Saturation Attacks in Software-Defined Networks , Samer Yousef Khamaiseh

Secure Two-Party Protocol for Privacy-Preserving Classification via Differential Privacy , Manish Kumar

Application-Specific Memory Subsystem Benchmarking , Mahesh Lakshminarasimhan

Multilingual Information Retrieval: A Representation Building Perspective , Ion Madrazo

Improved Study of Side-Channel Attacks Using Recurrent Neural Networks , Muhammad Abu Naser Rony Chowdhury

Investigating the Effects of Social and Temporal Dynamics in Fitness Games on Children's Physical Activity , Ankita Samariya

BullyNet: Unmasking Cyberbullies on Social Networks , Aparna Sankaran

FALCON: Framework for Anomaly Detection In Industrial Control Systems , Subin Sapkota

Investigating Semantic Properties of Images Generated from Natural Language Using Neural Networks , Samuel Ward Schrader

Incremental Processing for Improving Conversational Grounding in a Chatbot , Aprajita Shukla

Estimating Error and Bias of Offline Recommender System Evaluation Results , Mucun Tian

Theses/Dissertations from 2018 2018

Leveraging Tiled Display for Big Data Visualization Using D3.js , Ujjwal Acharya

Fostering the Retrieval of Suitable Web Resources in Response to Children's Educational Search Tasks , Oghenemaro Deborah Anuyah

Privacy-Preserving Genomic Data Publishing via Differential Privacy , Tanya Khatri

Injecting Control Commands Through Sensory Channel: Attack and Defense , Farhad Rasapour

Strong Mutation-Based Test Generation of XACML Policies , Roshan Shrestha

Performance, Scalability, and Robustness in Distributed File Tree Copy , Christopher Robert Sutton

Using DNA For Data Storage: Encoding and Decoding Algorithm Development , Kelsey Suyehira

Detecting Saliency by Combining Speech and Object Detection in Indoor Environments , Kiran Thapa

Theses/Dissertations from 2017 2017

Identifying Restaurants Proposing Novel Kinds of Cuisines: Using Yelp Reviews , Haritha Akella

Editing Behavior Analysis and Prediction of Active/Inactive Users in Wikipedia , Harish Arelli

CloudSkulk: Design of a Nested Virtual Machine Based Rootkit-in-the-Middle Attack , Joseph Anthony Connelly

Predicting Friendship Strength in Facebook , Nitish Dhakal

Privacy-Preserving Trajectory Data Publishing via Differential Privacy , Ishita Dwivedi

Cultivating Community Interactions in Citizen Science: Connecting People to Each Other and the Environment , Bret Allen Finley

Uncovering New Links Through Interaction Duration , Laxmi Amulya Gundala

Variance: Secure Two-Party Protocol for Solving Yao's Millionaires' Problem in Bitcoin , Joshua Holmes

A Scalable Graph-Coarsening Based Index for Dynamic Graph Databases , Akshay Kansal

Integrity Coded Databases: Ensuring Correctness and Freshness of Outsourced Databases , Ujwal Karki

Editable View Optimized Tone Mapping For Viewing High Dynamic Range Panoramas On Head Mounted Display , Yuan Li

The Effects of Pair-Programming in a High School Introductory Computer Science Class , Ken Manship

Towards Automatic Repair of XACML Policies , Shuai Peng

Identification of Unknown Landscape Types Using CNN Transfer Learning , Ashish Sharma

Hand Gesture Recognition for Sign Language Transcription , Iker Vazquez Lopez

Learning to Code Music : Development of a Supplemental Unit for High School Computer Science , Kelsey Wright

Theses/Dissertations from 2016 2016

Identification of Small Endogenous Viral Elements within Host Genomes , Edward C. Davis Jr.

When the System Becomes Your Personal Docent: Curated Book Recommendations , Nevena Dragovic

Security Testing with Misuse Case Modeling , Samer Yousef Khamaiseh

Estimating Length Statistics of Aggregate Fried Potato Product via Electromagnetic Radiation Attenuation , Jesse Lovitt

Towards Multipurpose Readability Assessment , Ion Madrazo

Evaluation of Topic Models for Content-Based Popularity Prediction on Social Microblogs , Axel Magnuson

CEST: City Event Summarization using Twitter , Deepa Mallela

Developing an ABAC-Based Grant Proposal Workflow Management System , Milson Munakami

Phoenix and Hive as Alternatives to RDBMS , Diana Ornelas

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Digital Commons @ USF > College of Engineering > Computer Science and Engineering > Theses and Dissertations

Computer Science and Engineering Theses and Dissertations

Theses/dissertations from 2024 2024.

Automatic Image-Based Nutritional Calculator App , Kejvi Cupa

Individual Behavioral Modeling Across Games of Strategy , Logan Fields

Semi-automated Cell Annotation Framework Using Deep Learning , Abhiram Kandiyana

Predicting Gender of Author Using Large Language Models (LLMs) , Satya Uday Sanku

Context-aware Affective Behavior Modeling and Analytics , Md Taufeeq Uddin

Exploring the Use of Enhanced SWAD Towards Building Learned Models that Generalize Better to Unseen Sources , Brandon M. Weinhofer

Theses/Dissertations from 2023 2023

Refining the Machine Learning Pipeline for US-based Public Transit Systems , Jennifer Adorno

Insect Classification and Explainability from Image Data via Deep Learning Techniques , Tanvir Hossain Bhuiyan

V2V and V2I Based Safety and Platooning Algorithms for Connected and Autonomous Vehicles , Omkar Dokur

Brain-Inspired Spatio-Temporal Learning with Application to Robotics , Thiago André Ferreira Medeiros

Exploring Scalability of Multimodal User Interface Design in Virtual and Augmented Reality , Sarah M. Garcia

Evaluating Methods for Improving DNN Robustness Against Adversarial Attacks , Laureano Griffin

Analyzing Multi-Robot Leader-Follower Formations in Obstacle-Laden Environments , Zachary J. Hinnen

Secure Lightweight Cryptographic Hardware Constructions for Deeply Embedded Systems , Jasmin Kaur

A Psychometric Analysis of Natural Language Inference Using Transformer Language Models , Antonio Laverghetta Jr.

Graph Analysis on Social Networks , Shen Lu

Deep Learning-based Automatic Stereology for High- and Low-magnification Images , Hunter Morera

Deciphering Trends and Tactics: Data-driven Techniques for Forecasting Information Spread and Detecting Coordinated Campaigns in Social Media , Kin Wai Ng Lugo

Secure Reconfigurable Computing Paradigms for the Next Generation of Artificial Intelligence and Machine Learning Applications , Brooks Olney

Automated Approaches to Enable Innovative Civic Applications from Citizen Generated Imagery , Hye Seon Yi

Theses/Dissertations from 2022 2022

Towards High Performing and Reliable Deep Convolutional Neural Network Models for Typically Limited Medical Imaging Datasets , Kaoutar Ben Ahmed

Task Progress Assessment and Monitoring Using Self-Supervised Learning , Sainath Reddy Bobbala

Towards More Task-Generalized and Explainable AI Through Psychometrics , Alec Braynen

An Internet of Medical Things (IoMT) Approach for Remote Assessment of Head and Neck Cancer Patients , Ruchitha Chinthala

A Multiple Input Multiple Output Framework for the Automatic Optical Fractionator-based Cell Counting in Z-Stacks Using Deep Learning , Palak Dave

On the Reliability of Wearable Sensors for Assessing Movement Disorder-Related Gait Quality and Imbalance: A Case Study of Multiple Sclerosis , Steven Díaz Hernández

Securing Critical Cyber Infrastructures and Functionalities via Machine Learning Empowered Strategies , Tao Hou

Developing Reinforcement Learning Algorithms for Robots to Aim and Pour Solid Objects , Haoxuan Li

Computing Group-By and Aggregate in Massively Parallel Systems , Chengcheng Mou

Social Media Time Series Forecasting and User-Level Activity Prediction with Gradient Boosting, Deep Learning, and Data Augmentation , Fred Mubang

A Study of Deep Learning Silhouette Extractors for Gait Recognition , Sneha Oladhri

Analyzing Decision-making in Robot Soccer for Attacking Behaviors , Justin Rodney

Generative Spatio-Temporal and Multimodal Analysis of Neonatal Pain , Md Sirajus Salekin

Secure Hardware Constructions for Fault Detection of Lattice-based Post-quantum Cryptosystems , Ausmita Sarker

Adaptive Multi-scale Place Cell Representations and Replay for Spatial Navigation and Learning in Autonomous Robots , Pablo Scleidorovich

Predicting the Number of Objects in a Robotic Grasp , Utkarsh Tamrakar

Humanoid Robot Motion Control for Ramps and Stairs , Tommy Truong

Preventing Variadic Function Attacks Through Argument Width Counting , Brennan Ward

Exploration of Energy Efficient Computing for Data-Intensive Applications , Md Adnan Zaman

Theses/Dissertations from 2021 2021

Knowledge Extraction and Inference Based on Visual Understanding of Cooking Contents , Ahmad Babaeian Babaeian Jelodar

Efficient Post-Quantum and Compact Cryptographic Constructions for the Internet of Things , Rouzbeh Behnia

Efficient Hardware Constructions for Error Detection of Post-Quantum Cryptographic Schemes , Alvaro Cintas Canto

Using Hyper-Dimensional Spanning Trees to Improve Structure Preservation During Dimensionality Reduction , Curtis Thomas Davis

Design, Deployment, and Validation of Computer Vision Techniques for Societal Scale Applications , Arup Kanti Dey

AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective Computing , Hamza Elhamdadi

Automatic Detection of Vehicles in Satellite Images for Economic Monitoring , Cole Hill

Analysis of Contextual Emotions Using Multimodal Data , Saurabh Hinduja

Data-driven Studies on Social Networks: Privacy and Simulation , Yasanka Sameera Horawalavithana

Automated Identification of Stages in Gonotrophic Cycle of Mosquitoes Using Computer Vision Techniques , Sherzod Kariev

Exploring the Use of Neural Transformers for Psycholinguistics , Antonio Laverghetta Jr.

Secure VLSI Hardware Design Against Intellectual Property (IP) Theft and Cryptographic Vulnerabilities , Matthew Dean Lewandowski

Turkic Interlingua: A Case Study of Machine Translation in Low-resource Languages , Jamshidbek Mirzakhalov

Automated Wound Segmentation and Dimension Measurement Using RGB-D Image , Chih-Yun Pai

Constructing Frameworks for Task-Optimized Visualizations , Ghulam Jilani Abdul Rahim Quadri

Trilateration-Based Localization in Known Environments with Object Detection , Valeria M. Salas Pacheco

Recognizing Patterns from Vital Signs Using Spectrograms , Sidharth Srivatsav Sribhashyam

Recognizing Emotion in the Wild Using Multimodal Data , Shivam Srivastava

A Modular Framework for Multi-Rotor Unmanned Aerial Vehicles for Military Operations , Dante Tezza

Human-centered Cybersecurity Research — Anthropological Findings from Two Longitudinal Studies , Anwesh Tuladhar

Learning State-Dependent Sensor Measurement Models To Improve Robot Localization Accuracy , Troi André Williams

Human-centric Cybersecurity Research: From Trapping the Bad Guys to Helping the Good Ones , Armin Ziaie Tabari

Theses/Dissertations from 2020 2020

Classifying Emotions with EEG and Peripheral Physiological Data Using 1D Convolutional Long Short-Term Memory Neural Network , Rupal Agarwal

Keyless Anti-Jamming Communication via Randomized DSSS , Ahmad Alagil

Active Deep Learning Method to Automate Unbiased Stereology Cell Counting , Saeed Alahmari

Composition of Atomic-Obligation Security Policies , Yan Cao Albright

Action Recognition Using the Motion Taxonomy , Maxat Alibayev

Sentiment Analysis in Peer Review , Zachariah J. Beasley

Spatial Heterogeneity Utilization in CT Images for Lung Nodule Classication , Dmitrii Cherezov

Feature Selection Via Random Subsets Of Uncorrelated Features , Long Kim Dang

Unifying Security Policy Enforcement: Theory and Practice , Shamaria Engram

PsiDB: A Framework for Batched Query Processing and Optimization , Mehrad Eslami

Composition of Atomic-Obligation Security Policies , Danielle Ferguson

Algorithms To Profile Driver Behavior From Zero-permission Embedded Sensors , Bharti Goel

The Efficiency and Accuracy of YOLO for Neonate Face Detection in the Clinical Setting , Jacqueline Hausmann

Beyond the Hype: Challenges of Neural Networks as Applied to Social Networks , Anthony Hernandez

Privacy-Preserving and Functional Information Systems , Thang Hoang

Managing Off-Grid Power Use for Solar Fueled Residences with Smart Appliances, Prices-to-Devices and IoT , Donnelle L. January

Novel Bit-Sliced In-Memory Computing Based VLSI Architecture for Fast Sobel Edge Detection in IoT Edge Devices , Rajeev Joshi

Edge Computing for Deep Learning-Based Distributed Real-time Object Detection on IoT Constrained Platforms at Low Frame Rate , Lakshmikavya Kalyanam

Establishing Topological Data Analysis: A Comparison of Visualization Techniques , Tanmay J. Kotha

Machine Learning for the Internet of Things: Applications, Implementation, and Security , Vishalini Laguduva Ramnath

System Support of Concurrent Database Query Processing on a GPU , Hao Li

Deep Learning Predictive Modeling with Data Challenges (Small, Big, or Imbalanced) , Renhao Liu

Countermeasures Against Various Network Attacks Using Machine Learning Methods , Yi Li

Towards Safe Power Oversubscription and Energy Efficiency of Data Centers , Sulav Malla

Design of Support Measures for Counting Frequent Patterns in Graphs , Jinghan Meng

Automating the Classification of Mosquito Specimens Using Image Processing Techniques , Mona Minakshi

Models of Secure Software Enforcement and Development , Hernan M. Palombo

Functional Object-Oriented Network: A Knowledge Representation for Service Robotics , David Andrés Paulius Ramos

Lung Nodule Malignancy Prediction from Computed Tomography Images Using Deep Learning , Rahul Paul

Algorithms and Framework for Computing 2-body Statistics on Graphics Processing Units , Napath Pitaksirianan

Efficient Viewshed Computation Algorithms On GPUs and CPUs , Faisal F. Qarah

Relational Joins on GPUs for In-Memory Database Query Processing , Ran Rui

Micro-architectural Countermeasures for Control Flow and Misspeculation Based Software Attacks , Love Kumar Sah

Eﬃcient Forward-Secure and Compact Signatures for the Internet of Things (IoT) , Efe Ulas Akay Seyitoglu

Detecting Symptoms of Chronic Obstructive Pulmonary Disease and Congestive Heart Failure via Cough and Wheezing Sounds Using Smart-Phones and Machine Learning , Anthony Windmon

Toward Culturally Relevant Emotion Detection Using Physiological Signals , Khadija Zanna

Theses/Dissertations from 2019 2019

Beyond Labels and Captions: Contextualizing Grounded Semantics for Explainable Visual Interpretation , Sathyanarayanan Narasimhan Aakur

Empirical Analysis of a Cybersecurity Scoring System , Jaleel Ahmed

Phenomena of Social Dynamics in Online Games , Essa Alhazmi

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Home > School, College, or Department > MCECS > Computer Science > Dissertations and Theses

Computer Science Dissertations and Theses

Theses/dissertations from 2024 2024.

A Deep Learning Framework for Blockage Mitigation in mmWave Wireless , Ahmed Hazaa Almutairi (Dissertation)

Design and Test of Asynchronous Systems Using the Link and Joint Model , Ebelechukwu Esimai (Dissertation)

Automatic Measurement of Dialogue Engagingness in Multilingual Settings , Amila Ferron (Thesis)

Resource-constrained 2D Scene Recovery with Single-Photon Cameras , Daphne Ariadne Kurzenhauser (Thesis)

Concolic Testing for Scripting Languages , Zhe Li (Dissertation)

MmWave RAT Optimization: MAC Layer Initial Access Design and Transport Layer Integration , Suresh Srinivasan (Dissertation)

Designing for Deployable, Secure, and Generic Machine Learning Systems , Li-Yun Wang (Dissertation)

Theses/Dissertations from 2023 2023

Seeing in the Dark: Towards Robust Pedestrian Detection at Nighttime , Afnan Althoupety (Dissertation)

A Deep Hierarchical Variational Autoencoder for World Models in Complex Reinforcement Learning Environments , Sriharshitha Ayyalasomayajula (Thesis)

Toward Efficient Rendering: A Neural Network Approach , Qiqi Hou (Dissertation)

Energy Auction with Non-Relational Persistence , Michael Ramez Howard (Thesis)

Implementing a Functional Logic Programming Language via the Fair Scheme , Andrew Michael Jost (Dissertation)

Multi-Agent Deep Reinforcement Learning for Radiation Localization , Benjamin Scott Totten (Thesis)

Theses/Dissertations from 2022 2022

Using Intrinsically-Typed Definitional Interpreters to Verify Compiler Optimizations in a Monadic Intermediate Language , Dani Barrack (Thesis)

An Automated Zoom Class Session Analysis Tool to Improve Education , Jack Arlo Cannon II (Thesis)

Scaling EPA-RIMM with Multicore System Management Interrupt Handlers , Alexander K. Freed (Thesis)

Unpaired Style Transfer Conditional Generative Adversarial Network for Scanned Document Generation , David Jonathan Hawbaker (Thesis)

Toward Analyzing the Diversity of Extractive Summaries , Aaron David Hudson (Thesis)

Making Curry with Rice: An Optimizing Curry Compiler , Steven Libby (Dissertation)

Domain Knowledge as Motion-Aware Inductive Bias for Deep Video Synthesis: Two Case Studies , Long Mai (Dissertation)

Theses/Dissertations from 2021 2021

Efficient Neuromorphic Algorithms for Gamma-Ray Spectrum Denoising and Radionuclide Identification , Merlin Phillip Carson (Thesis)

Storing Intermediate Results in Space and Time: SQL Graphs and Block Referencing , Basem Ibrahim Elazzabi (Dissertation)

Automated Test Generation for Validating SystemC Designs , Bin Lin (Dissertation)

Forecasting Optimal Parameters of the Broken Wing Butterfly Option Strategy Using Differential Evolution , David Munoz Constantine (Thesis)

Situate: An Agent-Based System for Situation Recognition , Max Henry Quinn (Dissertation)

Theses/Dissertations from 2020 2020

Multiple Diagram Navigation , Hisham Benotman (Dissertation)

Smart Contract Vulnerabilities on the Ethereum Blockchain: a Current Perspective , Daniel Steven Connelly (Thesis)

Extensible Performance-Aware Runtime Integrity Measurement , Brian G. Delgado (Dissertation)

Novel View Synthesis - a Neural Network Approach , Hoang Le (Dissertation)

Exploring the Potential of Sparse Coding for Machine Learning , Sheng Yang Lundquist (Dissertation)

Workflow Critical Path: a Data-Oriented Path Metric for Holistic HPC Workflows , Daniel D. Nguyen (Thesis)

Novel View Synthesis in Time and Space , Simon Niklaus (Dissertation)

Balancing Security, Performance and Deployability in Encrypted Search , David Joel Pouliot (Dissertation)

Theses/Dissertations from 2019 2019

A Secure Anti-Counterfeiting System using Near Field Communication, Public Key Cryptography, Blockchain, and Bayesian Games , Naif Saeed Alzahrani (Dissertation)

Spectral Clustering for Electrical Phase Identification Using Advanced Metering Infrastructure Voltage Time Series , Logan Blakely (Thesis)

Local Radiance , Scott Peter Britell (Dissertation)

Correct-by-Construction Typechecking with Scope Graphs , Katherine Imhoff Casamento (Thesis)

Versatile Binary-level Concolic Testing , Bo Chen (Dissertation)

Crumpled and Abraded Encryption: Implementation and Provably Secure Construction , Scott Sherlock Griffy (Thesis)

Knowing Without Knowing: Real-Time Usage Identification of Computer Systems , Leila Mohammed Hawana (Thesis)

Design and Experimental Evaluation of DeepMarket: an Edge Computing Marketplace with Distributed TensorFlow Execution Capability , Soyoung Kim (Thesis)

Localizing Little Landmarks with Transfer Learning , Sharad Kumar (Thesis)

Context-Aware Wi-Fi Infrastructure-based Indoor Positioning Systems , Huy Phuong Tran (Dissertation)

Theses/Dissertations from 2018 2018

Bounding Box Improvement with Reinforcement Learning , Andrew Lewis Cleland (Thesis)

Sensing Building Structure Using UWB Radios for Disaster Recovery , Jeong Eun Lee (Dissertation)

Annotation-Enabled Interpretation and Analysis of Time-Series Data , Niveditha Venugopal (Thesis)

EPA-RIMM-V: Efficient Rootkit Detection for Virtualized Environments , Tejaswini Ajay Vibhute (Thesis)

Theses/Dissertations from 2017 2017

Improved Scoring Models for Semantic Image Retrieval Using Scene Graphs , Erik Timothy Conser (Thesis)

Refining Bounding-Box Regression for Object Localization , Naomi Lynn Dickerson (Thesis)

Fully Generic Programming Over Closed Universes of Inductive-Recursive Types , Larry Diehl (Dissertation)

Communicating at Terahertz Frequencies , Farnoosh Moshirfatemi (Dissertation)

Designing In-Headset Authoring Tools for Virtual Reality Video , Cuong Nguyen (Dissertation)

Certifying Loop Pipelining Transformations in Behavioral Synthesis , Disha Puri (Dissertation)

Power-Aware Datacenter Networking and Optimization , Qing Yi (Dissertation)

Theses/Dissertations from 2016 2016

Identifying Relationships between Scientific Datasets , Abdussalam Alawini (Dissertation)

Information Representation and Computation of Spike Trains in Reservoir Computing Systems with Spiking Neurons and Analog Neurons , Amin Almassian (Thesis)

Investigations of an "Objectness" Measure for Object Localization , Lewis Richard James Coates (Thesis)

Image Stitching: Handling Parallax, Stereopsis, and Video , Fan Zhang (Dissertation)

Theses/Dissertations from 2015 2015

Novel Methods for Learning and Adaptation in Chemical Reaction Networks , Peter Banda (Dissertation)

Post-silicon Functional Validation with Virtual Prototypes , Kai Cong (Dissertation)

Novel Cryptographic Primitives and Protocols for Censorship Resistance , Kevin Patrick Dyer (Dissertation)

Hardware/Software Interface Assurance with Conformance Checking , Li Lei (Dissertation)

Leveraging Contextual Relationships Between Objects for Localization , Clinton Leif Olson (Thesis)

The Performance of Random Prototypes in Hierarchical Models of Vision , Kendall Lee Stewart (Thesis)

Tweakable Ciphers: Constructions and Applications , Robert Seth Terashima (Dissertation)

Scalable Equivalence Checking for Behavioral Synthesis , Zhenkun Yang (Dissertation)

Theses/Dissertations from 2014 2014

The Nax Language: Unifying Functional Programming and Logical Reasoning in a Language based on Mendler-style Recursion Schemes and Term-indexed Types , Ki Yung Ahn (Dissertation)

Using Spammers' Computing Resources for Volunteer Computing , Thai Le Quy Bui (Thesis)

Towards Constructing Interactive Virtual Worlds , Francis Chang (Dissertation)

System-wide Performance Analysis for Virtualization , Deron Eugene Jensen (Thesis)

Advances in Piecewise Smooth Image Reconstruction , Ralf Juengling (Dissertation)

Interpretable Machine Learning and Sparse Coding for Computer Vision , Will Landecker (Dissertation)

Optimizing Data Movement in Hybrid Analytic Systems , Patrick Michael Leyshock (Dissertation)

Ranked Similarity Search of Scientific Datasets: An Information Retrieval Approach , Veronika Margaret Megler (Dissertation)

Using GIST Features to Constrain Search in Object Detection , Joanna Browne Solmon (Thesis)

The Role of Prototype Learning in Hierarchical Models of Vision , Michael David Thomure (Dissertation)

Theses/Dissertations from 2013 2013

Object Detection and Recognition in Natural Settings , George William Dittmar (Thesis)

Trust-but-Verify: Guaranteeing the Integrity of User-generated Content in Online Applications , Akshay Dua (Dissertation)

Equivalence Checking for High-Assurance Behavioral Synthesis , Kecheng Hao (Dissertation)

Type Classes and Instance Chains: A Relational Approach , John Garrett Morris (Dissertation)

Theses/Dissertations from 2012 2012

Using Dataflow Optimization Techniques with a Monadic Intermediate Language , Justin George Bailey (Thesis)

A Survey and Analysis of Solutions to the Oblivious Memory Access Problem , Erin Elizabeth Chapman (Thesis)

A Data-Descriptive Feedback Framework for Data Stream Management Systems , Rafael J. Fernández Moctezuma (Dissertation)

Extending Relativistic Programming to Multiple Writers , Philip William Howard (Dissertation)

The Basic Scheme for the Evaluation of Functional Logic Programs , Arthur Peters (Thesis)

The Link Between Image Segmentation and Image Recognition , Karan Sharma (Thesis)

Relativistic Causal Ordering A Memory Model for Scalable Concurrent Data Structures , Josh Triplett (Dissertation)

Theses/Dissertations from 2011 2011

Conceptual Modeling of Data with Provenance , David William Archer (Dissertation)

Low-latency Estimates for Window-Aggregate Queries over Data Streams , Amit Bhat (Thesis)

Information Processing in Two-Dimensional Cellular Automata , Martin Cenek (Dissertation)

Scalable and Efficient Tasking for Dynamic Sensor Networks , Thanh Xuan Dang (Dissertation)

On the Effect of Topology on Learning and Generalization in Random Automata Networks , Alireza Goudarzi (Thesis)

HOLCF '11: A Definitional Domain Theory for Verifying Functional Programs , Brian Charles Huffman (Dissertation)

A Functional Approach to Memory-Safe Operating Systems , Rebekah Leslie (Dissertation)

Factoring Semiprimes Using PG2N Prime Graph Multiagent Search , Keith Eirik Wilson (Thesis)

High Speed Wireless Networking for 60GHz , Candy Yiu (Dissertation)

Theses/Dissertations from 2010 2010

Extensible Scheduling in a Haskell-based Operating System , Kenneth William Graunke (Thesis)

Addressing Automated Adversaries of Network Applications , Edward Leo Kaiser (Dissertation)

An Automata-Theoretic Approach to Hardware/Software Co-verification , Juncao Li (Dissertation)

Practical Type Inference for the GADT Type System , Chuan-kai Lin (Dissertation)

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The Top 10 Most Interesting Computer Science Research Topics

Computer science touches nearly every area of our lives. With new advancements in technology, the computer science field is constantly evolving, giving rise to new computer science research topics. These topics attempt to answer various computer science research questions and how they affect the tech industry and the larger world.

Computer science research topics can be divided into several categories, such as artificial intelligence, big data and data science, human-computer interaction, security and privacy, and software engineering. If you are a student or researcher looking for computer research paper topics. In that case, this article provides some suggestions on examples of computer science research topics and questions.

Find your bootcamp match

What makes a strong computer science research topic.

A strong computer science topic is clear, well-defined, and easy to understand. It should also reflect the research’s purpose, scope, or aim. In addition, a strong computer science research topic is devoid of abbreviations that are not generally known, though, it can include industry terms that are currently and generally accepted.

Tips for Choosing a Computer Science Research Topic

Brainstorm . Brainstorming helps you develop a few different ideas and find the best topic for you. Some core questions you should ask are, What are some open questions in computer science? What do you want to learn more about? What are some current trends in computer science?
Choose a sub-field . There are many subfields and career paths in computer science . Before choosing a research topic, ensure that you point out which aspect of computer science the research will focus on. That could be theoretical computer science, contemporary computing culture, or even distributed computing research topics.
Aim to answer a question . When you’re choosing a research topic in computer science, you should always have a question in mind that you’d like to answer. That helps you narrow down your research aim to meet specified clear goals.
Do a comprehensive literature review . When starting a research project, it is essential to have a clear idea of the topic you plan to study. That involves doing a comprehensive literature review to better understand what has been learned about your topic in the past.
Keep the topic simple and clear. The topic should reflect the scope and aim of the research it addresses. It should also be concise and free of ambiguous words. Hence, some researchers recommended that the topic be limited to five to 15 substantive words. It can take the form of a question or a declarative statement.

What’s the Difference Between a Research Topic and a Research Question?

A research topic is the subject matter that a researcher chooses to investigate. You may also refer to it as the title of a research paper. It summarizes the scope of the research and captures the researcher’s approach to the research question. Hence, it may be broad or more specific. For example, a broad topic may read, Data Protection and Blockchain, while a more specific variant can read, Potential Strategies to Privacy Issues on the Blockchain.

On the other hand, a research question is the fundamental starting point for any research project. It typically reflects various real-world problems and, sometimes, theoretical computer science challenges. As such, it must be clear, concise, and answerable.

How to Create Strong Computer Science Research Questions

To create substantial computer science research questions, one must first understand the topic at hand. Furthermore, the research question should generate new knowledge and contribute to the advancement of the field. It could be something that has not been answered before or is only partially answered. It is also essential to consider the feasibility of answering the question.

2. The Influence of Extraction Methods on Big Data Mining

Data mining has drawn the scientific community’s attention, especially with the explosive rise of big data. Many research results prove that the extraction methods used have a significant effect on the outcome of the data mining process. However, a topic like this analyzes algorithms. It suggests strategies and efficient algorithms that may help understand the challenge or lead the way to find a solution.

3. Integration of 5G with Analytics and Artificial Intelligence

According to the International Finance Corporation, 5G and AI technologies are defining emerging markets and our world. Through different technologies, this research aims to find novel ways to integrate these powerful tools to produce excellent results. Subjects like this often spark great discoveries that pioneer new levels of research and innovation. A breakthrough can influence advanced educational technology, virtual reality, metaverse, and medical imaging.

4. Leveraging Asynchronous FPGAs for Crypto Acceleration

To support the growing cryptocurrency industry, there is a need to create new ways to accelerate transaction processing. This project aims to use asynchronous Field-Programmable Gate Arrays (FPGAs) to accelerate cryptocurrency transaction processing. It explores how various distributed computing technologies can influence mining cryptocurrencies faster with FPGAs and generally enjoy faster transactions.

5. Cyber Security Future Technologies

Cyber security is a trending topic among businesses and individuals, especially as many work teams are going remote. Research like this can stretch the length and breadth of the cyber security and cloud security industries and project innovations depending on the researcher’s preferences. Another angle is to analyze existing or emerging solutions and present discoveries that can aid future research.

6. Exploring the Boundaries Between Art, Media, and Information Technology

The field of computers and media is a vast and complex one that intersects in many ways. They create images or animations using design technology like algorithmic mechanism design, design thinking, design theory, digital fabrication systems, and electronic design automation. This paper aims to define how both fields exist independently and symbiotically.

7. Evolution of Future Wireless Networks Using Cognitive Radio Networks

This research project aims to study how cognitive radio technology can drive evolution in future wireless networks. It will analyze the performance of cognitive radio-based wireless networks in different scenarios and measure its impact on spectral efficiency and network capacity. The research project will involve the development of a simulation model for studying the performance of cognitive radios in different scenarios.

8. The Role of Quantum Computing and Machine Learning in Advancing Medical Predictive Systems

In a paper titled Exploring Quantum Computing Use Cases for Healthcare , experts at IBM highlighted precision medicine and diagnostics to benefit from quantum computing. Using biomedical imaging, machine learning, computational biology, and data-intensive computing systems, researchers can create more accurate disease progression prediction, disease severity classification systems, and 3D Image reconstruction systems vital for treating chronic diseases.

9. Implementing Privacy and Security in Wireless Networks

Wireless networks are prone to attacks, and that has been a big concern for both individual users and organizations. According to the Cyber Security and Infrastructure Security Agency CISA, cyber security specialists are working to find reliable methods of securing wireless networks . This research aims to develop a secure and privacy-preserving communication framework for wireless communication and social networks.

10. Exploring the Challenges and Potentials of Biometric Systems Using Computational Techniques

Much discussion surrounds biometric systems and the potential for misuse and privacy concerns. When exploring how biometric systems can be effectively used, issues such as verification time and cost, hygiene, data bias, and cultural acceptance must be weighed. The paper may take a critical study into the various challenges using computational tools and predict possible solutions.

Computer Research Questions

Why are there so many programming languages?
Is there a better way to enhance human-computer interactions in computer-aided learning?
How safe is cloud computing, and what are some ways to enhance security?
Can computers effectively assist in the sequencing of human genes?
How valuable is SCRUM methodology in Agile software development?

Choosing the Right Computer Science Research Topic

Computer science research is a vast field, and it can be challenging to choose the right topic. There are a few things to keep in mind when making this decision. Choose a topic that you are interested in. This will make it easier to stay motivated and produce high-quality research for your computer science degree .

Select a topic that is relevant to your field of study. This will help you to develop specialized knowledge in the area. Choose a topic that has potential for future research. This will ensure that your research is relevant and up-to-date. Typically, coding bootcamps provide a framework that streamlines students’ projects to a specific field, doing their search for a creative solution more effortless.

Computer Science Research Topics FAQ

To start a computer science research project, you should look at what other content is out there. Complete a literature review to know the available findings surrounding your idea. Design your research and ensure that you have the necessary skills and resources to complete the project.

The first step to conducting computer science research is to conceptualize the idea and review existing knowledge about that subject. You will design your research and collect data through surveys or experiments. Analyze your data and build a prototype or graphical model. You will also write a report and present it to a recognized body for review and publication.

You can find computer science research jobs on the job boards of many universities. Many universities have job boards on their websites that list open positions in research and academia. Also, many Slack and GitHub channels for computer scientists provide regular updates on available projects.

There are several hot topics and questions in AI that you can build your research on. Below are some AI research questions you may consider for your research paper.

Will it be possible to build artificial emotional intelligence?
Will robots replace humans in all difficult cumbersome jobs as part of the progress of civilization?
Can artificial intelligence systems self-improve with knowledge from the Internet?

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Computing Engineering Dissertation Topics

Published by Jamie Walker at January 10th, 2023 , Revised On June 7, 2024

Dissertations have become an inherent component of higher education studies. They are entrenched not only within the master’s or a PhD degree but also in undergraduate programmes. Computer engineering dissertations allow researchers to choose a topic of particular interest to them and research further into the topic to add to the current body of literature.

However, choosing a topic from an extensive list is always easier than working on the first topic you find interesting.

To help you get started with brainstorming for computer topic ideas, we have developed a list of the latest computer engineering dissertation topics that can be used for writing your computer engineering dissertation.

These topics have been developed by PhD-qualified writers of our team , so you can trust to use these topics for drafting your dissertation.

You may also want to start your dissertation by requesting a brief research proposal from our writers on any of these topics, which includes an introduction to the problem, research questions , aim and objectives , literature review along with the proposed methodology of research to be conducted. Let us know if you need any help in getting started.

Check our example dissertations to get an idea of how to structure your dissertation .

You can review step by step guide on how to write your dissertation here.

View our free dissertation topics database.

Computing Engineering Dissertation Topics To Guide You

Topic 1: an investigation of the blockchain's application in the energy sector leading towards electricity production and e-mobility..

Research Aim: This study aims to investigate the applications of blockchain within the energy sector. This study will identify how blockchain can be used to produce electricity from the comfort of home. Moreover, this study aims to introduce the concept of e-mobility through blockchain, according to which blockchain can be used to share the car ride with other commuters residing at nearby places. Another objective of this research is to develop a framework that could assess blockchain’s use for consumers staying within a budget and letting them assess how much money they have been spending so far.

Topic 2: Investigating the Issues that Impact Data Security in Cloud-Based Blockchain Technology: An Global Tourism Industry Case Study

Research Aim: This research focuses on a significant shift in trend found in the worldwide tourist business, which is the usage of the cloud for data and services. It attempts to supply the requirements for this implementation owing to the demand for ease, saving, and improved service. Furthermore, it will also focus on the limits of traditional blockchain technology primitives and assess control models. These constraints are related to security issues involving data in a cloud environment in the global tourism industry.

Topic 3: Is Digital Technology Overtaking Human Interactions in the Medical Fields? An Examination of the Use of Computational Biology and Machine Learning in Patient Diagnosis and Treatment.

Research Aim: The current study seeks to examine how digital technology is replacing human interactions in the medical industry in the importance of computational biology and machine learning in patient diagnosis and treatment. This study will set forth the theoretical foundations and significance of computational biology and machine learning and will also make recommendations for further enhancement.

Topic 4: Evaluating the use of databases and information retrieval systems from the perspective of the United States National security policy.

Research Aim: The current study aims to evaluate the use of databases and information retrieval systems from the perspective of United States national security policy. This study addresses the databases and information retrieval system to provide a clear understanding. It will also focus on specific elements d criteria in the united state’s national security and highlights the benefits and drawbacks of employing them to enhance national security strategy in the united states.

Topic 5: Development of growing infusion of computer technology in the area of medicine- examining NHS policies.

Research Aim: This research aims to examine the development of the growing infusion of computer technology in the area of medicine by evaluating existing NHS policy. The study will provide a theoretical framework for the application of computer science technologies in medicine and will also set out the benefits of using contemporary computer technology as well as analyse the drawbacks that have occurred as a result of the growth of this new technology in this field. It will also focus on the policies employed by the NHS to assist the development of technologies in the UK healthcare sector.

Latest Computer Engineering Dissertation Topics

A 3-d visualisation system for ultrasound images.

Research Aim: This research will focus on the visualisation of 3-D ultrasound images and their medical therapy benefits.

Reliable and realistic study of remote communication systems in telephony and multipath faded systems

Research Aim: This research’s primary emphasis is on telephony’s practical implementation in a remote communication system.

Establishing a Neural Network Device

Research Aim: In terms of energy efficiency, the human brain is much greater than any modern supercomputer. A whole new generation of energy-efficient, brain-like computers is being designed for this study.

Methods for Artifact EEG Brain function study, caused by sugar, salt, fat, and their replacements

Research Aim: This study relies on the procedure for calculating sweetness taste is developed and validated. Part of the project includes modern electrode technologies to capture the purest possible brain signal from EEG equipment.

Find 100s of dissertation topics in your other academic subjects in our free topics database.

Analysis of information system built for e-learning

Research Aim: This research aims to analyse the information system built for e-learning

Advantages and disadvantages of an information system

Research Aim: This research aims to address the advantages and disadvantages of an information system.

COVID-19 Computer Engineering Research Topics

Research to study the effects of coronavirus on it industries.

Research Aim: This research will focus on the impacts of COVID-19 on the growth of IT industries highlighting the issues responsible for it and the possible solutions to overcome them.

Research to identify the impact of Coronavirus on the computer science research community

Research Aim: Coronavirus has infected thousands of people and has been responsible for the deaths of several innocent people worldwide. This study will focus on identifying the effects of this pandemic on the computer science research community.

Research to study the impacts of COVID-19 on tech spends in 2021

Research Aim: As a result of COVID-19, the economy of the entire world has been disrupted. The purpose of this research is to know the tech expenditures after COVID-19 became widespread. How are the tech industries dealing with the challenging situation created by COVID-19?

Research to identify the contribution of computer science to control the spread of the Coronavirus pandemic

Research Aim: This research aims at identifying the contributions and efforts made by computer engineers to control the pandemic. What is the role of computer scientists during the pandemic?

Research to identify the unemployment of computer engineers after the Coronavirus pandemic

Research Aim: This research will focus on identifying the increased unemployment issues raised after the COVID-19 pandemic and finding out the possible solutions to overcome the reduced unemployment of computer engineers.

Hardware, Network, and Security Dissertation Topics

Network security is very crucial for any organisation. It is dependent upon a well-managed network through the implementation of policies drafted by network administrators to manage the access of the organisational information. Network security provides stability, safety, integrity, reliability, and utility of data and network.

It works efficiently with the latest hardware equipment and updated software. Network security offers many advantages to businesses, such as protection against any disruption to keep employees motivated, energetic, regular, and productive.

In certain instances, a virus may break into the network security. However, the network administrator generally uses an anti-virus program to prevent this sort of attack.

Therefore, it will be fair to say that network security plays a vital role in maintaining a business’s reputation and operations which is the most important asset to any organisation. Below is a list of topics that you can base your dissertation on:

Performance analysis of transmission control protocol over Ethernet LAN.
Gateway usage for the intrusion detection system.
Impact of security machinimas in online transactions.
Investigation of smart card specification.
Importance of router placement in the network.
Level of customer’s trust in E-banking.
Role of antivirus in a shared network.
Application of database technologies for data network management.
Network worm: A headache to networking.
Implementation of various tools in programming language.
Study of retroactive data structures.
Role of Voice over Internet Protocol over Ethernet LAN.
The usefulness of data transfer security over Wi-Fi Network.
Influence of signal strength of Wi-Fi upon data transfer.
Analysis of tree inclusion complexities.
Analysis of the implementation of the set procedure.
Analysis of the application of programming tools.
Implementation of File Sharing System in Network.
Study of virus behaviours in the secured programming environment.
Investigation of issues of user’s security and data protection over the network.
Benefits of network security to customers.
Improvements of mobile data service for future usage.
Study of Asymmetry k-center variant.
Analysis of issues in emerging 4G networks.
Role of dynamic proxies in a mobile environment to support Remote method Invocation.

Software, Programming and Algorithm Dissertation Topics

In layman language, the software is collectively known as the “combination of operating information and all the programs that are being used by the computer.” It is a set of instructions that direct computers to perform a specific task depending upon the user’s instructions.

The software can be written in both high and low-level languages. Low-level language is also known as machine code and is faster because it doesn’t require any compiler and directly communicates with the computer. A high-level language is pretty similar to a human language, and therefore can be easily understood by the developers. High-level language requires the compiler to translate commands to the computer.

Programming and algorithms can be termed as commands given to the computer to perform actions. Programming leads to executable programs from a computing problem and involves developing, generating, and analysing algorithms. Algorithms refer to an act done involving a step-by-step process to solve a problem. It is a set of logic written in software.

There are two types of software; operating software that helps in operation and system software necessary to run a system. Operating software can be rewritten and changed according to demand, but system software cannot be altered. If developers require any alterations, they would have to develop new software.

There are various topics that can be considered for research dissertation purposes under this theme, a list of which is given below.

Application of algorithms.
Importance of approximation algorithms on graphs.
Critical analysis of data structures on trees.
Evaluation and implementation of new algorithms.
System software: A link to communicate hardware.
Difference between binary dispatching and multiple dispatching.
Analysis of plan sweep techniques.
Investigation of software support to drivers of devices.
Intelligent interface for database systems.
Analysis of function and types of union-find.
The usefulness of different coding languages.
Application of basic hardware knowledge and math skills.
Analysis of the design of the converter based on new moduli.
Analysis of information travelling via software.
Evaluation and implementation of heuristic algorithms.
Development of applications using Java.
Analysis of fault tolerance in a network by using simulation.
Importance of system software for computers.
Effects of larger integer module operations.
Consequences of wrong commands in coding.
Investigation of the coding language of system software.
Analysis of feasibility environment of platform.
Evaluation of heuristic algorithms for generating clusters.
Critical analysis of fixed control variable.
Analysis of design of converter with large dynamic range.
Ways to recover corrupted software.
Analysis of fault tolerance of sorting network.
Analysis of the difference between LAN and WAN.
Development of an algorithm for a one-way hashing system.
Relation between dynamic access and fixed values.
Importance of right language selection while coding.
Study of optimisation problems.
Analysis of security frameworks for web services.
Investigating algorithms techniques.
Partial persistence of algorithms vs others.
Study of time and space problems of algorithmic functions.
Effects of linear and logarithmic factors over programming.
Discussion about union-find with deletion.
Importance of data structure for bridge core problems.
Consequences of fault in interconnected networks.
Difference between rooted and unrooted tree.

Information Systems Dissertation Topics

Information systems refer to a group of people and computers that are being used for the interpretation of all kinds of information. Computer-based information systems are a very interesting topic for research. It includes all information regarding decision making, management support, and operations and can also be used to access the database.

There is an obvious difference between computer systems, information systems, and business processes. The information system provides the tools to manage businesses successfully.

An information system can be said to be a workstation where humans and machines work together towards the success of a business. One such example is Wal-Mart. The company is entirely based on information systems and has connected its suppliers, vendors, customers and together.

It deals with a large number of data and consists of hardware, software, network, and telecommunications of the operation. Below is a list of research topics in the field of information systems for you to base your dissertation on:

Analysis of challenges in building information systems for any organisation.
Impact of cyberinfrastructure on the customer.
Role of information system in scientific innovations.
The usefulness of information systems for businesses.
Advantages of information systems.
Access to information systems by employees anywhere in the world.
Preparation of a database management system.
Analysis and solution of database management systems.
Study of support of information system to hardware.
Managing information systems of big stores, The case of Walmart.
Analysis of information system built for E-learning.
Critical analysis of the changing nature of the web.
Role of information system in decision making of disruptions.
Examine customer response through the information system.
Investigate the impact of a virus on the network
Relationship between IT education and an organisation.
Role of information system in global warming.
Investigate the reason for adopting green information systems.
Analysis of the between social networks and information systems.
Role of information system in dealing with complex business problems.

Important Notes:

As a computing engineering student looking to get good grades, it is essential to develop new ideas and experiment with existing computing engineering theories – i.e., to add value and interest in your research topic.

The field of computing engineering is vast and interrelated to so many other academic disciplines like civil engineering , finance , construction , law , healthcare , mental health , artificial intelligence , tourism , physiotherapy , sociology , management , marketing and nursing . That is why it is imperative to create a project management dissertation topic that is articular, sound, and actually solves a practical problem that may be rampant in the field.

We can’t stress how important it is to develop a logical research topic; it is the basis of your entire research. There are several significant downfalls to getting your topic wrong; your supervisor may not be interested in working on it, the topic has no academic creditability, the research may not make logical sense, and there is a possibility that the study is not viable.

This impacts your time and efforts in writing your dissertation as you may end up in a cycle of rejection at the very initial stage of the dissertation. That is why we recommend reviewing existing research to develop a topic, taking advice from your supervisor, and even asking for help in this particular stage of your dissertation.

While developing a research topic, keeping our advice in mind will allow you to pick one of the best computing engineering dissertation topics that fulfill your requirement of writing a research paper and add to the body of knowledge.

Therefore, it is recommended that when finalising your dissertation topic, you read recently published literature to identify gaps in the research that you may help fill.

Remember- dissertation topics need to be unique, solve an identified problem, be logical, and be practically implemented. Take a look at some of our sample computing engineering dissertation topics to get an idea for your own dissertation.

How to Structure Your Dissertation on Computing Engineering

A well-structured dissertation can help students to achieve a high overall academic grade.

A Title Page
Acknowledgements
Declaration
Abstract: A summary of the research completed
Table of Contents
Introduction : This chapter includes the project rationale, research background, key research aims and objectives, and the research problems to be addressed. An outline of the structure of a dissertation can also be added to this chapter.
Literature Review : This chapter presents relevant theories and frameworks by analysing published and unpublished literature available on the chosen research topic, in light of research questions to be addressed. The purpose is to highlight and discuss the relative weaknesses and strengths of the selected research area whilst identifying any research gaps. Break down of the topic, and key terms can have a positive impact on your dissertation and your tutor.
Methodology: The data collection and analysis methods and techniques employed by the researcher are presented in the Methodology chapter which usually includes research design, research philosophy, research limitations, code of conduct, ethical consideration, data collection methods and data analysis strategy .
Findings and Analysis: Findings of the research are analysed in detail under the Findings and Analysis chapter. All key findings/results are outlined in this chapter without interpreting the data or drawing any conclusions. It can be useful to include graphs , charts, and tables in this chapter to identify meaningful trends and relationships.
Discussion and Conclusion: The researcher presents his interpretation of results in this chapter, and states whether the research hypothesis has been verified or not. An essential aspect of this section of the paper is to draw a linkage between the results and evidence from the literature. Recommendations with regard to the implications of the findings and directions for the future may also be provided. Finally, a summary of the overall research, along with final judgments, opinions, and comments, must be included in the form of suggestions for improvement.
References: This should be completed in accordance with your University’s requirements
Bibliography
Appendices: Any additional information, diagrams, graphs that were used to complete the dissertation but not part of the dissertation should be included in the Appendices chapter. Essentially, the purpose is to expand the information/data.

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How to find dissertation topics about computing engineering.

To find computing engineering dissertation topics:

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A CS Research Topic Generator or How To pick A Worthy Topic In 10 Seconds

Computer Science is facing a major roadblock to further research. The problem is most evident with students, but afflicts many researchers as well: people simply have a tough time inventing research topics that sound sufficiently profound and exciting. Many Ph.D. students waste needless years simply coming up with a thesis topic. And researchers often resort to reading documents from government grant agencies so they will know what to work on for the next proposal!

Good news for the CS community: the problem has at last been solved. The table below provides the answer.

To generate a technical phrase, randomly choose one item from each column. For example, selecting synchronized from column 1, secure from column 2, and protocol from column 3 produces:

Computer Science Dissertation Topics

Dissertations are one of the main pieces of work students undertake at university and they provide you with an opportunity to work independently and on something that really interests you. It’s easier to research essay questions and assignment topics that have been set for you, but it can be difficult to decide what to do when you have been given some freedom. There are so many areas that you could focus on when it comes to your computing dissertation, so we have come up with a range of original topics that might help to narrow down your interest:

Hardware, Network and Security Dissertation Topics

Software, programming and algorithm dissertation topics, information systems – computer science dissertation topics.

Computer Science is usually defined as the study of computers and technological systems. It also refers to the theories and practices adopted to reinforce Information Technology (IT). In contrast to computer or electrical engineers, computer scientists often deal with software programs, application evaluation, and programming languages. Major areas of study within the field of Computer Science include project management, artificial intelligence, computer network or systems, security, information systems, and the virtualisation of computer interfaces. Dissertation topics related to this field include:

A survey of the different technologies and algorithms for parsing and indexing multimedia databases.
How to visualise text categorisation with complex hierarchal structures and machine learning?
What are the different tools and techniques in software requirements understanding in the United Kingdom?
Conducting autonomous navigation within both indoor and outdoor environments and settings.
How to improve the value of inter-organisational knowledge management using IT?
Intelligent Marketing: Applying the concepts and methods of artificial intelligence in advertising & marketing process.
Computing a virtual model of an environment using an autonomous mobile robot.
How to identify the cybersecurity challenges of adopting automated vehicles in the United Kingdom?
How to identify the best approach to perform successful System-Level Testing of Distributed Systems.
What are the analysis and design requirements for a Next Generation Software Release Management System?
How to design a cloud-based Information System for an oil storage company based on Internet Technologies?
How to identify the requirements of Enterprise Content Management System for a software development company?
How to determine the various underlying factors that have significant impact on the information systems development process?
Investigation of ‘agile project management methods’ risk management evaluation and project management tools that integrate risk analysis into project management practices.
How to effectively implement risk approaches during software development process to prevent unsuccessful implementations?
What are the contemporary challenges/ issues in database design and information systems development?
Effectively implementing Bio-informatics to improve the provision of healthcare services in the United Kingdom.

Network security refers to all activities that are designed to protect the usability and reliability of organizations’ information and network structure, including software and hardware security measures and technologies. Efficient network security measures would include monitoring access to a network, while also scanning for potential threats or attacks, and preventing malicious activities on secured networks. Ultimately, network security is concerned with the security of an organisation’s information resources and computing assets. More dissertation topics related to hardware, network and security include:

Conducting a test lab for the performance analysis of TCP over Ethernet LANs on Windows operating systems.
Potential Privacy and Security Risks when authenticating on the Internet with Electronic ID cards.
How to prevent relay attacks and improve the security of smart card network transmissions?
What are the different security mechanisms in IEEE 802.11-based WLANs?
How to design efficient Intrusion Detection System for 4G networks
Explore the use of intrusion detection systems for intelligent analysis of data across multiple gateways.
How to develop a secure runtime/programming environment for studying the behaviour of malicious botnets and network worms
Analysis of network security using a programmatic approach.
What are the different strategic and methodological approaches for the development of ICT systems?
How to design and implement a distributed file sharing system used for supporting content mobility and disconnection tolerant communication?
How to design a secure, scalable and component-based Network Monitoring tool using struts and hibernates.
Scalable Router placement in software-defined networks.
An evaluation framework for secured routing in structured peer-to-peer (overlay) networks.
What are the issues for coordinated transmission techniques in next generation 5G wireless networks?
Performance studies of VoIP over Wireless and Ethernet LANs?
What is the impact of signal strength on Wi-Fi link throughput using propagation measurements?
Network Traffic Anomaly Detection using Software Defined Networking
How to secure data sharing in P2P (Peer-to-Peer) and Wi-Fi networks
How to apply database technologies for managing network data?
Fault recovery and redundancy in real-time wireless networking systems
Fault recovery and redundancy in 4G wireless networking systems.
Anonymous routing based on characteristics protocol
Planning for secure and dependable 4th generation wireless networks.
Using dynamic proxies to support RMI in a mobile environment.
A policy creation and enforcement environment for an IP network.
Real Time 3D motion tracking for interactive computer simulations Peer-to-peer live streaming and Video on Demand Design Issues and Challenges?
Using Humans as Cyber security sensors (HAASS) for the Internet of Things.
Large-scale automatic classification for phishing network attacks.
Enforcing Network Access Control through Security Policy Management.

Computer software, or any other types of software, is a general term used to describe a collection of computer programs, procedures and documentation that perform tasks or activities on a computer system. The term includes application software, such as word processors or dynamic websites, which perform productive tasks for users, system software such as operating systems, which interface with hardware to provide the necessary services for application software, database organisers to deal with big data and middleware which controls and co-ordinates distributed systems. Here are some original and relevant dissertation topics on software, programming and algorithm:

Development of web based document management system by using markup languages like J2EE, XML and Microsoft SQL Server
Development of room scheduling and work mapping system using software frameworks like Microsoft .NET Framework
Implementation and evaluation of optimal algorithm for computing association rules in certain environment
Implementation and evaluation of optimal algorithm for generating clusters
Implementation and evaluation of optimal algorithm for generating optimal and near optimal classification trees
Implementation and evaluation of heuristic algorithm for computing association rules
Implementation and evaluation of heuristic algorithm for generating clusters
Implementation and evaluation of heuristic algorithm for generating optimal and near optimal classification trees
Different techniques for designing intelligent interfaces for database systems, which provide a paradigm for programming databases without the knowledge of SQL and tables
Fault-Tolerant Routing in interconnection networks with multiple passes and fixed control variables
Fault-Tolerance analysis of sorting networks
Analysis, design and implementation of web services security framework
Hardware and/or high speed computer arithmetic using the residue number system
Implementation and evaluation of fast algorithms for One-Way Hashing Functions
Different techniques for testing embedded software systems
Methods to design a dynamic proxy based architecture to support distributed java objects in a mobile environment
Modular data serialization and mobile code
Various ways to improve Open Web Architectures
An adaptive web-based learning environment
Transportation (Bus/Car/Taxi) tracking service: Design and implementation of a device independent passenger information system
Development and evaluation of a scalable, fault tolerant telecommunications system using EJB and related technologies cryptographic access control for a network file system.
Event-based middleware for collaborative ad hoc applications
Proactive persistent agents – using situational intelligence to create support characters in character-centric computer games
Develop Java Applets to investigate the feasibility of designing objects to be manufactured by specification through individual users via the web
Development of distributed software environment by using Java RMI or alternative Java technologies, where users can work collaboratively on a project via the internet
Develop Java Programs for Applied Financial Systems like stock markets
Develop Web systems (HTML, CSS, JavaScript) to structure intelligent rental car booking system
Develop exercise-workout tracking app on Android/iOS

The term information system sometimes refers to a system of persons, data records and activities that process the data and information in an organisation, and it includes the organisation’s manual and automated processes. It can also include the technical aspect of HCI or human computer interaction. Computer-based information systems are the field of study for information technology, elements of which are sometimes called an “information system” as well. Dissertation topics on information systems include:

Challenges of building information systems for large healthcare like NHS UK
E-recruitment standards: challenges and future directions
Challenges and opportunities in migrating to web-based information services
Change management on the web environment
Changing nature of web space requirements
An analysis of collaborative social network tools for the gathering and classification of information from young people/middle/old aged people
Government policies toward adoption and diffusion of ICT, including e-government services and high-speed Internet access for household consumers/citizens in United Kingdom
Impact of e-publishing on the future of libraries
Impact of the web on library users
Implementing a new integrated information system in the library environment
Impact of full-text databases on search engine services
Impact of full-text databases on shopping cart users
Impact of Internet and cyber infrastructure on jobs and income in UK
Impact of Internet and Cyber infrastructure on marketing and marketing users in the United Kingdom
Implications for information seeking behaviour and retrieval
Usage of scientific innovation and information society by students in schools
Usage of scientific innovation and information society by graduation (both undergrad and postgrad) students
Integrating multimedia and the web into language planning and measuring the impact of applications on language use
Internet-based services, products, technologies and their impact on e-marketing, service, and utilisation: challenges and/or methodology to meet patron needs as marketing campaigns migrate to a digital/virtual environment
Different models of e-marketing services with the use of computers, networks, and the Internet.
Building Information System for e-learning in educational institutes in UK
Managing and tracking traffic fines by using big data analysis
Tracking over-speeding by using speed camera (using an intelligent database to store speed limits)
Improving HCI (human-computer interaction) by using AI (artificial intelligence) systems on mobile devices
Improving HCI (human-computer interaction) by using AI (artificial intelligence) systems on personal computers (laptops or desktops)
Monitoring an individual’s behaviour over social media like Facebook, Twitter etc. and develop patterns
Monitoring a young person’s usage and behaviour over social media like Facebook, Twitter etc. and develop patterns

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Distinguished Dissertations in Computer Science

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The Conference of Professors of Computer Science (CPCS), in conjunction with the British Computer Society, selects annually for publication a few of the best British PhD dissertations in computer science. Its aim is to make more visible the significant British contribution to this field, and to provide a model for future students. At most three or four dissertations are selected for publication each year. They have a high standard of exposition and place results particularly clearly in the context of computer science. Computer scientists with significantly different interests will be able to grasp the essentials of each book and use it as a means of entry to an unfamiliar research topic.

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10 results in Distinguished Dissertations in Computer Science

Axiomatic Domain Theory in Categories of Partial Maps

Marcelo P. Fiore
Published online: 23 November 2009 Print publication: 08 August 1996
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View description Axiomatic categorical domain theory is crucial for understanding the meaning of programs and reasoning about them. This book is the first systematic account of the subject and studies mathematical structures suitable for modelling functional programming languages in an axiomatic (i.e. abstract) setting. In particular, the author develops theories of partiality and recursive types and applies them to the study of the metalanguage FPC; for example, enriched categorical models of the FPC are defined. Furthermore, FPC is considered as a programming language with a call-by-value operational semantics and a denotational semantics defined on top of a categorical model. To conclude, for an axiomatisation of absolute non-trivial domain-theoretic models of FPC, operational and denotational semantics are related by means of computational soundness and adequacy results. To make the book reasonably self-contained, the author includes an introduction to enriched category theory.

The Map-Building and Exploration Strategies of a Simple Sonar-Equipped Mobile Robot

An Experimental, Quantitative Evaluation
Published online: 05 March 2012 Print publication: 26 July 1996
View description There are two radically different approaches to robot navigation: the first is to use a map of the robot's environment; the second uses a set of action reflexes to enable a robot to react rapidly to local sensory information. Hybrid approaches combining features of both also exist. This book is the first to propose a method for evaluating the different approaches that shows how to decide which is the most appropriate for a given situation. It begins by describing a complete implementation of a mobile robot including sensor modelling, map–building (a feature–based map and a grid–based free–space map), localisation, and path–planning. Exploration strategies are then tested experimentally in a range of environments and starting positions. The author shows the most promising results are observed from hybrid exploration strategies which combine the robustness of reactive navigation and the directive power of map–based strategies.

A Compositional Approach to Performance Modelling

Jane Hillston
Published online: 24 November 2009 Print publication: 13 June 1996
View description This is the first book presenting a stochastic extension of process algebra, PEPA; this is shown to be suitable for specifying a Markov process, which can then be applied to performance modelling. The method, which is illustrated with case studies taken from the area of communication systems, can readily be used to construct a variety of models that can be analysed using standard numerical techniques. One of the major advantages of PEPA over the standard methods for specifying stochastic performance models is the inherent apparatus for reasoning about the structure and behaviour of models. In the later chapters this apparatus is exploited to define four equivalence relations over PEPA components. Each of these notions of equivalence has intrinsic interest from a process algebra perspective. However, they are also demonstrated to be useful in a performance modelling context. To conclude the book, a section has been added surveying recent results in the area and discussing open questions.

Affine Analysis of Image Sequences

Larry S. Shapiro
Published online: 18 December 2009 Print publication: 13 July 1995
View description Computer vision is a rapidly growing field which aims to make computers 'see' as effectively as humans. In this book Dr Shapiro presents a new computer vision framework for interpreting time-varying imagery. This is an important task, since movement reveals valuable information about the environment. The fully-automated system operates on long, monocular image sequences containing multiple, independently-moving objects, and demonstrates the practical feasibility of recovering scene structure and motion in a bottom-up fashion. Real and synthetic examples are given throughout, with particular emphasis on image coding applications. Novel theory is derived in the context of the affine camera, a generalisation of the familiar scaled orthographic model. Analysis proceeds by tracking 'corner features' through successive frames and grouping the resulting trajectories into rigid objects using new clustering and outlier rejection techniques. The three-dimensional motion parameters are then computed via 'affine epipolar geometry', and 'affine structure' is used to generate alternative views of the object and fill in partial views. The use of all available features (over multiple frames) and the incorporation of statistical noise properties substantially improves existing algorithms, giving greater reliability and reduced noise sensitivity.

Qualified Types

Theory and Practice
Mark P. Jones
Published online: 05 May 2010 Print publication: 03 November 1994
View description This book describes the use of qualified types to provide a general framework for the combination of polymorphism and overloading. For example, qualified types can be viewed as a generalization of type classes in the functional language Haskell and the theorem prover Isabelle. These in turn are extensions of equality types in Standard ML. Other applications of qualified types include extensible records and subtyping. Using a general formulation of qualified types, the author extends the Damas/Milner type inference algorithm to support qualified types, which in turn specifies the set of all possible types for any term. In addition, he describes a new technique for establishing suitable coherence conditions that guarantee the same semantics for all possible translations of a given term. Practical issues that arise in concrete implementations are also discussed, concentrating in particular on the implementation of overloading in Haskell and Gofer, a small functional programming system developed by the author.

Specification and Proof in Real Time CSP

Published online: 04 August 2010 Print publication: 20 May 1993
View description This book was first published in 1993. Computing systems are becoming highly complex, harder to understand, and therefore more prone to failure. Where such systems control aircraft for example, system failure could have disastrous consequences. It is important therefore that we are able to employ mathematical techniques to specify the behaviour or safety critical systems. This thesis uses the theory of Communicating Sequential Processes (CSP) to show how a real-lime system may be specified. Included is a case study in which a local area network protocol is described at two levels of abstraction, and a general method 14 structuring CSP descriptions of layered protocols is given.

Efficient Algorithms for Listing Combinatorial Structures

Leslie Ann Goldberg
Published online: 14 January 2010 Print publication: 22 April 1993
View description First published in 1993, this thesis is concerned with the design of efficient algorithms for listing combinatorial structures. The research described here gives some answers to the following questions: which families of combinatorial structures have fast computer algorithms for listing their members? What general methods are useful for listing combinatorial structures? How can these be applied to those families which are of interest to theoretical computer scientists and combinatorialists? Amongst those families considered are unlabelled graphs, first order one properties, Hamiltonian graphs, graphs with cliques of specified order, and k-colourable graphs. Some related work is also included, which compares the listing problem with the difficulty of solving the existence problem, the construction problem, the random sampling problem, and the counting problem. In particular, the difficulty of evaluating Pólya's cycle polynomial is demonstrated.

Logic Programming

Operational Semantics and Proof Theory
James H. Andrews
Published online: 23 November 2009 Print publication: 17 December 1992
View description Dr Andrews here provides a homogeneous treatment of the semantics (operational and logical) of both theoretical and practical logic programming languages. He shows how the rift between theory and practice in logic programming can be bridged. This is achieved by precisely characterizing the way in which 'depth-first' search for solutions to a logical formula - the usual strategy in most practical languages - is incomplete. Languages that perform 'breadth-first' searches reflect more closely the theory underlying logic programming languages. Researchers interested in logic programming or semantics, as well as artificial intelligence search strategies, will want to consult this book as the only source for some essential and new ideas in the area.

Three-Dimensional Integrated Circuit Layout

A. C. Harter
Published online: 05 May 2010 Print publication: 28 November 1991
View description First published in 1991, this thesis concentrates upon the design of three-dimensional, rather than the traditional two-dimensional, circuits. The theory behind such circuits is presented in detail, together with experimental results. Winner of the Distinguished Dissertation in Computer Science award, this work will prove invaluable to both designers and hardware engineers involved in the development of practical three-dimensional integrated circuits.

Project Factorisations in Partial Evaluation

John Launchbury
Published online: 04 August 2010 Print publication: 24 October 1991
View description Programming frequently requires that problems are broken down into subproblems and then each subproblem solved independently. These solutions may then be combined to provide a solution to the original problem. Partial evaluation is a serious attempt to tackle this issue, allowing the programmer to write programs in a highly interpretive style without paying the price in efficiency. This thesis covers the theory and practice behind practical evaluation.

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Home > College of Natural Sciences > COMPUTERSCI-ENGINEERING > COMPUTERSCI-ENGINEERING-ETD

Computer Science and Engineering Theses, Projects, and Dissertations

Theses/projects/dissertations from 2024 2024.

CLASSIFICATION MODEL FOR DISCOVERING THE TYPE OF CROP TO PLANT USING ENSEMBLE TECHNIQUES , Uma Mahesh Addanki

TRAFFIC ANALYSIS OF CITIES IN SAN BERNARDINO COUNTY , Sai Kalyan Ayyagari

SERVICE CONNECT , Namrata Bomble

Recommendation System using machine learning for fertilizer prediction , Durga Rajesh Bommireddy

Classification of Remote Sensing Image Data Using Rsscn-7 Dataset , Satya Priya Challa

Cultural Awareness Application , Bharat Gupta

PREDICTING HOSPITALIZATION USING ARTIFICIAL INTELLIGENCE , Sanath Hiremath

TASK MANAGEMENT APPLICATION , Dhaval Chaturbhai Hirpara

AUTOMATED BRAIN TUMOR CLASSIFIER WITH DEEP LEARNING , venkata sai krishna chaitanya kandula

TRUCK TRAFFIC ANALYSIS IN THE INLAND EMPIRE , Bhavik Khatri

REAL-TIME GUN DETECTION IN VIDEO STREAMS USING YOLO V8 , Harish Kumar Reddy Kunchala

Crash Detecting System Using Deep Learning , Yogesh Reddy Muddam

A SMART HYBRID ENHANCED RECOMMENDATION AND PERSONALIZATION ALGORITHM USING MACHINE LEARNING , Aswin Kumar Nalluri

DETERMINING PEDAGOGIC EFFECTIVENESS OF CHATGPT USING QUALITATIVE ANALYSIS OF ACADEMIC QUERY SETS , Yash Chandrashekhar Tike

CRIME DATA PREDICTION BASED ON GEOGRAPHICAL LOCATION USING MACHINE LEARNING , Sai Bharath Yarlagadda

Theses/Projects/Dissertations from 2023 2023

CLASSIFICATION OF LARGE SCALE FISH DATASET BY DEEP NEURAL NETWORKS , Priyanka Adapa

GEOSPATIAL WILDFIRE RISK PREDICTION USING DEEP LEARNING , Abner Alberto Benavides

HUMAN SUSPICIOUS ACTIVITY DETECTION , Nilamben Bhuva

MAX FIT EVENT MANAGEMENT WITH SALESFORCE , AKSHAY DAGWAR

MELANOMA DETECTION BASED ON DEEP LEARNING NETWORKS , Sanjay Devaraneni

Heart Disease Prediction Using Binary Classification , Virendra Sunil Devare

CLASSIFICATION OF THORAX DISEASES FROM CHEST X-RAY IMAGES , Sharad Jayusukhbhai Dobariya

WEB BASED MANAGEMENT SYSTEM FOR HOUSING SOCIETY , Likhitha Reddy Eddala

Sales and Stock Management System , Rashmika Gaddam Ms

CONTACTLESS FOOD ORDERING SYSTEM , Rishivar Kumar Goli

RESTAURANT MANAGEMENT WEBSITE , Akhil Sai Gollapudi

DISEASE OF LUNG INFECTION DETECTION USING CNN MODEL -BAYESIAN OPTIMIZATION , poojitha gutha

DATA POISONING ATTACKS ON PHASOR MEASUREMENT UNIT DATA , Rutuja Sanjeev Haridas

CRIME MAPPING ANALYSIS USING WEB APPLICATION. , Lavanya Krishnappa

A LONG-TERM FUNDS PREDICTOR BASED ON DEEP LEARNING , SHUIYI KUANG

LIVER SEGMENTATION AND LESION DETECTION IN MEDICAL IMAGES USING A DEEP LEARNING-BASED U-NET MODEL , Kaushik Mahida

PHASOR MEASUREMENT UNIT DATA VISUALIZATION , Nikhila Mandava

TWITTER POLICING , Hemanth Kumar Medisetty

TRANSACTION MANAGEMENT SYSYEM FOR A PUBLISHER , HASSAIN SHAREEF MOHAMMED JR

LOBANGU: AN OPTICAL CHARACTER RECOGNITION RECEIPT MANAGEMENT APP FOR HEALTH CENTER PHARMACIES IN THE D.R.CONGO AND SURROUNDING EASTERN AFRICAN COUNTRIES , Bénis Munganga

PREDICTIVE MODEL FOR CFPB CONSUMER COMPLAINTS , Vyshnavi Nalluri

REVIEW CLASSIFICATION USING NATURAL LANGUAGE PROCESSING AND DEEP LEARNING , Brian Nazareth

Brain Tumor Detection Using MRI Images , Mayur Patel

QUIZ WEB APPLICATION , Dipti Rathod

HYPOTHYROID DISEASE ANALYSIS BY USING MACHINE LEARNING , SANJANA SEELAM

Pillow Based Sleep Tracking Device Using Raspberry Pi , Venkatachalam Seviappan

FINSERV ANDROID APPLICATION , Harsh Piyushkumar Shah

AUTOMATED MEDICAL NOTES LABELLING AND CLASSIFICATION USING MACHINE LEARNING , Akhil Prabhakar Thota

GENETIC PROGRAMMING TO OPTIMIZE PERFORMANCE OF MACHINE LEARNING ALGORITHMS ON UNBALANCED DATA SET , Asitha Thumpati

GOVERNMENT AID PORTAL , Darshan Togadiya

GENERAL POPULATION PROJECTION MODEL WITH CENSUS POPULATION DATA , Takenori Tsuruga

LUNG LESION SEGMENTATION USING DEEP LEARNING APPROACHES , Sree Snigdha Tummala

DETECTION OF PHISHING WEBSITES USING MACHINE LEARNING , Saranya Valleri

Machine Learning for Kalman Filter Tuning Prediction in GPS/INS Trajectory Estimation , Peter Wright

Theses/Projects/Dissertations from 2022 2022

LEARN PROGRAMMING IN VIRTUAL REALITY? A PROJECT FOR COMPUTER SCIENCE STUDENTS , Benjamin Alexander

LUNG CANCER TYPE CLASSIFICATION , Mohit Ramajibhai Ankoliya

HIGH-RISK PREDICTION FOR COVID-19 PATIENTS USING MACHINE LEARNING , Raja Kajuluri

IMPROVING INDIA’S TRAFFIC MANAGEMENT USING INTELLIGENT TRANSPORTATION SYSTEMS , Umesh Makhloga

DETECTION OF EPILEPSY USING MACHINE LEARNING , Balamurugan Murugesan

SOCIAL MOBILE APPLICATION: UDROP , Mahmoud Oraiqat

Improved Sensor-Based Human Activity Recognition Via Hybrid Convolutional and Recurrent Neural Networks , Sonia Perez-Gamboa

College of Education FileMaker Extraction and End-User Database Development , Andrew Tran

DEEP LEARNING EDGE DETECTION IN IMAGE INPAINTING , Zheng Zheng

Theses/Projects/Dissertations from 2021 2021

A General Conversational Chatbot , Vipin Nambiar

Verification System , Paras Nigam

DESKTOP APPLICATION FOR THE PUZZLE BOARD GAME “RUSH HOUR” , Huanqing Nong

Ahmedabad City App , Rushabh Picha

COMPUTER SURVEILLANCE SYSTEM USING WI-FI FOR ANDROID , Shashank Reddy Saireddy

ANDROID PARKING SYSTEM , Vishesh Reddy Sripati

Sentiment Analysis: Stock Index Prediction with Multi-task Learning and Word Polarity Over Time , Yue Zhou

Theses/Projects/Dissertations from 2020 2020

BUBBLE-IN DIGITAL TESTING SYSTEM , Chaz Hampton

FEEDBACK REVIEW SYSTEM USING SENTIMENT ANALYSIS , Vineeth Kukkamalla

WEB APPLICATION FOR MOVIE PERFORMANCE PREDICTION , Devalkumar Patel

Theses/Projects/Dissertations from 2019 2019

REVIEWS TO RATING CONVERSION AND ANALYSIS USING MACHINE LEARNING TECHNIQUES , Charitha Chanamolu

EASY EXAM , SARTHAK DABHI

EXTRACT TRANSFORM AND LOADING TOOL FOR EMAIL , Amit Rajiv Lawanghare

VEHICLE INFORMATION SYSTEM USING BLOCKCHAIN , Amey Zulkanthiwar

Theses/Projects/Dissertations from 2018 2018

USING AUTOENCODER TO REDUCE THE LENGTH OF THE AUTISM DIAGNOSTIC OBSERVATION SCHEDULE (ADOS) , Sara Hussain Daghustani

California State University, San Bernardino Chatbot , Krutarth Desai

ORGANIZE EVENTS MOBILE APPLICATION , Thakshak Mani Chandra Reddy Gudimetla

SOCIAL NETWORK FOR SOFTWARE DEVELOPERS , Sanket Prabhakar Jadhav

VIRTUALIZED CLOUD PLATFORM MANAGEMENT USING A COMBINED NEURAL NETWORK AND WAVELET TRANSFORM STRATEGY , Chunyu Liu

INTER PROCESS COMMUNICATION BETWEEN TWO SERVERS USING MPICH , Nagabhavana Narla

SENSOR-BASED HUMAN ACTIVITY RECOGNITION USING BIDIRECTIONAL LSTM FOR CLOSELY RELATED ACTIVITIES , Arumugam Thendramil Pavai

NEURAL NETWORK ON VIRTUALIZATION SYSTEM, AS A WAY TO MANAGE FAILURE EVENTS OCCURRENCE ON CLOUD COMPUTING , Khoi Minh Pham

EPICCONFIGURATOR COMPUTER CONFIGURATOR AND CMS PLATFORM , IVO A. TANTAMANGO

STUDY ON THE PATTERN RECOGNITION ENHANCEMENT FOR MATRIX FACTORIZATIONS WITH AUTOMATIC RELEVANCE DETERMINATION , hau tao

Theses/Projects/Dissertations from 2017 2017

CHILDREN’S SOCIAL NETWORK: KIDS CLUB , Eiman Alrashoud

MULTI-WAY COMMUNICATION SYSTEM , S. Chinnam

WEB APPLICATION FOR GRADUATE COURSE RECOMMENDATION SYSTEM , Sayali Dhumal

MOBILE APPLICATION FOR ATTENDANCE SYSTEM COYOTE-ATTENDANCE , Sindhu Hari

WEB APPLICATION FOR GRADUATE COURSE ADVISING SYSTEM , Sanjay Karrolla

Custom T-Shirt Designs , Ranjan Khadka

STUDENT CLASS WAITING LIST ENROLLMENT , AISHWARYA LACHAGARI

ANDROID MOBILE APPLICATION FOR HOSPITAL EXECUTIVES , Vihitha Nalagatla

PIPPIN MACHINE , Kiran Reddy Pamulaparthy

SOUND MODE APPLICATION , Sindhuja Pogaku

I2MAPREDUCE: DATA MINING FOR BIG DATA , Vishnu Vardhan Reddy Sherikar

COMPARING AND IMPROVING FACIAL RECOGNITION METHOD , Brandon Luis Sierra

NATURAL LANGUAGE PROCESSING BASED GENERATOR OF TESTING INSTRUMENTS , Qianqian Wang

AUTOMATIC GENERATION OF WEB APPLICATIONS AND MANAGEMENT SYSTEM , Yu Zhou

Theses/Projects/Dissertations from 2016 2016

CLOTH - MODELING, DEFORMATION, AND SIMULATION , Thanh Ho

CoyoteLab - Linux Containers for Educational Use , Michael D. Korcha

PACKET FILTER APPROACH TO DETECT DENIAL OF SERVICE ATTACKS , Essa Yahya M Muharish

DATA MINING: TRACKING SUSPICIOUS LOGGING ACTIVITY USING HADOOP , Bir Apaar Singh Sodhi

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Engineering Thesis Topics

This page provides a comprehensive list of engineering thesis topics designed to assist students in selecting relevant and engaging subjects for their academic research. With 600 diverse topics organized into 20 categories—ranging from aeronautical and chemical engineering to robotics and environmental engineering—this list offers a broad spectrum of ideas to inspire your thesis. Whether you’re focused on current industry challenges, recent technological advancements, or future innovations, these topics cover all major areas of engineering. Explore these up-to-date thesis topics to help guide your research and contribute to the rapidly evolving field of engineering.

600 Engineering Thesis Topics and Ideas

Choosing a thesis topic is a critical step in any student’s academic journey. In the field of engineering, it’s essential to select a topic that not only interests you but also addresses real-world challenges, technological advancements, and future trends. To aid in this process, we have compiled a comprehensive list of 600 engineering thesis topics, divided into 20 categories, each reflecting key areas of research. These topics span a variety of engineering disciplines and are designed to inspire innovative research that contributes to the future of engineering. Whether you are interested in aeronautical advancements, sustainable energy solutions, or the future of robotics, this list will help you find the perfect topic for your thesis.

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Get 10% off with 24start discount code, aeronautical engineering thesis topics.

The impact of advanced composite materials on aircraft performance.
Exploring the potential of hypersonic flight: Challenges and opportunities.
Aerodynamic optimization of unmanned aerial vehicles (UAVs).
Aircraft noise reduction technologies: A comparative study.
Investigating fuel efficiency improvements in jet engines.
The role of AI in enhancing aircraft safety and navigation systems.
Analyzing the effects of turbulence on aircraft structural integrity.
Design and performance evaluation of high-altitude long-endurance (HALE) UAVs.
The future of electric propulsion in commercial aviation.
Exploring the use of 3D printing in the production of aerospace components.
Advanced aerodynamics for reducing drag in supersonic flight.
The impact of environmental regulations on aeronautical design.
Investigating alternative fuels for sustainable aviation.
The future of vertical take-off and landing (VTOL) aircraft in urban mobility.
The role of bio-inspired designs in improving aircraft efficiency.
Exploring smart wing technologies for better flight control.
Noise control in aircraft landing systems: New technologies and designs.
The development and testing of supersonic business jets.
Human factors in aeronautical engineering: Enhancing cockpit design.
Exploring the challenges of integrating UAVs into controlled airspace.
Lightweight materials in aeronautical design: A study on carbon fiber and titanium.
Aircraft icing and its impact on flight safety: Detection and prevention technologies.
The role of augmented reality in aircraft maintenance and repair.
Environmental impacts of the aeronautical industry: Strategies for reduction.
Exploring adaptive control systems in modern aircraft.
High-lift devices: Their role in takeoff and landing performance.
Investigating the future of blended-wing body aircraft designs.
Structural health monitoring of aircraft using sensor networks.
The challenges of autonomous flight in commercial aviation.
Investigating the aerodynamics of high-speed vertical lift vehicles.

Aerospace Engineering Thesis Topics

Design challenges and innovations in reusable space launch vehicles.
The future of asteroid mining: Engineering challenges and opportunities.
Exploring advanced propulsion systems for deep-space exploration.
Microgravity’s effect on material properties in space environments.
The role of small satellites in expanding space exploration capabilities.
Investigating the impact of space debris on satellite operations.
Lunar habitats: Engineering challenges and solutions.
The role of AI in space mission planning and execution.
Space-based solar power: Engineering feasibility and challenges.
Exploring propulsion technologies for interstellar travel.
The use of inflatable structures in space missions.
Challenges in designing life support systems for long-duration space missions.
Investigating in-situ resource utilization (ISRU) on Mars for future colonization.
The role of robotics in space exploration and satellite repair.
Engineering solutions to counteract radiation exposure in space missions.
The development of space tourism: Engineering challenges and innovations.
Satellite communication systems: Engineering advancements and future trends.
The role of CubeSats in Earth observation and climate monitoring.
Engineering space habitats: Materials, designs, and sustainability.
Investigating ion propulsion systems for space exploration.
Thermal protection systems for re-entry vehicles: Challenges and advancements.
Space elevator concepts: Engineering feasibility and potential applications.
The impact of space environment on electronic components and systems.
Autonomous systems in space exploration: Enhancing mission success.
Exploring the potential of nuclear thermal propulsion for human space exploration.
Challenges in designing propulsion systems for crewed Mars missions.
Investigating the use of solar sails for long-duration space missions.
Engineering challenges in planetary defense systems against asteroids.
The future of satellite constellations for global communications.
Exploring the use of 3D printing in space for habitat construction.

Chemical Engineering Thesis Topics

The role of catalysis in green chemistry: Innovations and applications.
Exploring advancements in carbon capture and storage technologies.
Biofuels vs. fossil fuels: A comparative analysis of energy efficiency.
The role of chemical engineering in developing sustainable plastics.
Investigating electrochemical methods for hydrogen production.
Nanotechnology in chemical engineering: Applications and challenges.
Bioprocessing for the production of bio-based chemicals.
The impact of chemical engineering on pharmaceutical manufacturing.
Membrane technologies for water purification: Advances and applications.
Chemical engineering solutions for reducing industrial emissions.
The role of chemical engineering in developing new materials for energy storage.
Exploring chemical processes in waste-to-energy systems.
The future of biodegradable polymers: Chemical engineering approaches.
Electrochemical sensors for environmental monitoring: Advances in technology.
Investigating catalytic converters for reducing automobile emissions.
Process optimization in the chemical industry using AI and machine learning.
The role of chemical engineering in developing next-generation batteries.
Green solvents in chemical processes: Innovations and challenges.
Exploring chemical recycling methods for plastic waste.
Engineering sustainable processes for the production of synthetic fuels.
The role of chemical engineering in the development of nanomedicine.
Advancements in supercritical fluid extraction technologies.
Exploring the use of bio-based surfactants in chemical engineering.
Chemical engineering innovations in desalination technologies.
Investigating process safety in chemical plants: Challenges and solutions.
The role of process intensification in improving chemical manufacturing efficiency.
Exploring carbon-neutral chemical processes for sustainable industries.
Engineering solutions for minimizing waste in chemical production processes.
The future of smart materials in chemical engineering.
Investigating the use of enzymes in industrial chemical processes.

Civil Engineering Thesis Topics

Sustainable urban drainage systems: Design and implementation.
The role of green building technologies in reducing carbon footprints.
Investigating the structural integrity of high-rise buildings in seismic zones.
Exploring the use of recycled materials in road construction.
The impact of climate change on coastal infrastructure.
Smart city infrastructure: Challenges and opportunities for civil engineers.
Engineering solutions for flood-resistant urban infrastructure.
The role of civil engineering in developing sustainable transport systems.
The use of geotechnical engineering in landslide prevention.
The impact of urbanization on natural water systems: Civil engineering solutions.
Exploring the use of drones in civil engineering for site inspections and mapping.
The role of civil engineering in disaster-resilient building designs.
Innovations in bridge design: Materials, construction, and sustainability.
The future of high-speed rail infrastructure: Civil engineering challenges.
Investigating the use of smart materials in civil engineering projects.
Sustainable road construction techniques for reducing environmental impact.
The role of civil engineers in restoring and preserving historical structures.
Exploring permeable pavements for stormwater management.
The impact of population growth on urban infrastructure planning.
The role of civil engineering in mitigating the urban heat island effect.
Exploring earthquake-resistant building technologies: Advances and innovations.
The use of fiber-reinforced polymers in civil engineering structures.
The future of modular construction in civil engineering.
Civil engineering solutions for reducing energy consumption in buildings.
Investigating the durability of concrete in marine environments.
The role of civil engineers in addressing housing shortages in developing countries.
Exploring geosynthetic materials for improving ground stability.
The use of BIM (Building Information Modeling) in modern civil engineering projects.
Sustainable urban transportation systems: Civil engineering perspectives.
The role of civil engineering in climate-resilient infrastructure development.

Computer Engineering Thesis Topics

The role of quantum computing in solving complex engineering problems.
Exploring advancements in machine learning algorithms for engineering applications.
The impact of edge computing on IoT (Internet of Things) systems.
Blockchain technology in securing computer engineering systems.
Investigating the role of artificial intelligence in autonomous vehicles.
Cybersecurity challenges in critical infrastructure: A computer engineering perspective.
The role of computer engineering in enhancing 5G network performance.
Exploring GPU optimization for deep learning models.
Investigating neural network architectures for image recognition.
The future of computer vision in industrial automation.
Designing low-power architectures for mobile computing devices.
The role of augmented reality in transforming engineering design processes.
Exploring advancements in robotics control systems for precision tasks.
The impact of cloud computing on large-scale engineering simulations.
Investigating IoT security challenges in smart cities.
The role of computer engineering in developing autonomous drones.
Exploring deep learning applications in medical image analysis.
Designing energy-efficient algorithms for high-performance computing.
The role of artificial intelligence in predictive maintenance for engineering systems.
Exploring software-defined networking (SDN) in optimizing data centers.
The impact of blockchain technology on supply chain management systems.
Investigating the role of computer engineering in enhancing virtual reality experiences.
The future of human-computer interaction in wearable technologies.
The role of edge AI in reducing latency for real-time applications.
Exploring advancements in natural language processing for engineering applications.
Designing secure communication protocols for IoT devices.
The role of computer engineering in developing smart home systems.
Exploring facial recognition technologies for enhanced security systems.
Investigating quantum cryptography for secure communication networks.
The role of artificial intelligence in optimizing renewable energy systems.

Electronics and Communication Engineering Thesis Topics

Exploring 5G communication technologies: Challenges and opportunities.
The role of IoT in transforming industrial automation systems.
Advances in signal processing for wireless communication systems.
The impact of nanotechnology on the future of semiconductor devices.
The role of satellite communication in disaster management.
Exploring the potential of Li-Fi technology in communication systems.
Energy-efficient design of wireless sensor networks.
The future of millimeter-wave technology in telecommunications.
The role of cognitive radio systems in spectrum optimization.
Investigating advanced antenna designs for communication networks.
The impact of quantum communication on data security.
Exploring visible light communication systems for high-speed data transfer.
Designing low-power communication protocols for IoT devices.
The role of MIMO (Multiple Input Multiple Output) systems in improving network performance.
Exploring the potential of terahertz communication systems.
Advances in error correction techniques for wireless communication.
The role of edge computing in enhancing real-time communication.
Exploring software-defined radio technologies for communication systems.
The impact of smart antennas on 5G network performance.
Secure communication protocols for smart grid systems.
The role of satellite communication in remote sensing applications.
Exploring advancements in fiber optic communication systems.
The future of wireless body area networks (WBANs) in healthcare.
Designing communication systems for autonomous vehicles.
The role of blockchain technology in secure communication networks.
Exploring the potential of ultra-wideband (UWB) technology in communication systems.
Energy harvesting technologies for self-powered communication devices.
The impact of smart cities on communication infrastructure.
Investigating the use of AI in optimizing communication networks.
The role of quantum key distribution in secure communication.

Engineering Management Thesis Topics

The role of leadership in driving innovation in engineering organizations.
Exploring risk management strategies in large-scale engineering projects.
The impact of organizational culture on engineering project success.
Project management techniques for reducing cost overruns in engineering projects.
The role of Six Sigma in improving engineering processes.
Agile project management methodologies in the engineering sector.
The impact of digital transformation on engineering management practices.
The role of sustainability in engineering project management.
Leadership styles and their influence on engineering team performance.
The role of data analytics in optimizing engineering management decisions.
The impact of globalization on engineering project management.
Exploring lean management practices in engineering organizations.
The role of engineering managers in fostering innovation.
Risk mitigation strategies in complex engineering systems.
Exploring the role of decision-making models in engineering management.
The impact of cultural diversity on engineering project teams.
Managing engineering projects in a globalized world: Challenges and strategies.
The role of knowledge management in engineering organizations.
The future of engineering management in the era of Industry 4.0.
Exploring the use of artificial intelligence in engineering project management.
The impact of stakeholder engagement on engineering project success.
The role of engineering management in ensuring workplace safety.
Exploring the use of BIM (Building Information Modeling) in construction project management.
The impact of regulatory compliance on engineering management practices.
Managing remote engineering teams: Challenges and solutions.
The role of innovation management in engineering firms.
Exploring resource allocation strategies in engineering projects.
The impact of risk management on the success of engineering startups.
Sustainable engineering management: Balancing economic and environmental concerns.
Exploring the role of engineering management in digital product development.

Industrial Engineering Thesis Topics

The role of industrial engineering in optimizing manufacturing processes.
Exploring lean manufacturing techniques for waste reduction.
The impact of Industry 4.0 on industrial engineering practices.
The role of Six Sigma in improving production quality.
Exploring automation in industrial engineering for efficiency improvements.
The future of smart factories: Challenges and opportunities for industrial engineers.
The role of industrial engineering in supply chain optimization.
Exploring human factors in industrial engineering: Enhancing safety and productivity.
The impact of robotics on modern manufacturing systems.
Exploring process optimization techniques for improving factory performance.
The role of predictive maintenance in industrial engineering.
Exploring digital twin technology in industrial engineering applications.
The impact of global supply chains on industrial engineering practices.
Industrial engineering solutions for energy-efficient production processes.
The role of simulation modeling in industrial engineering.
Exploring the future of additive manufacturing in industrial engineering.
The impact of big data on industrial engineering decision-making.
Exploring facility layout optimization techniques in manufacturing industries.
The role of industrial engineers in implementing sustainable manufacturing practices.
The impact of automation on labor productivity in industrial engineering.
Exploring advancements in material handling systems for industrial engineers.
The role of inventory management in optimizing production processes.
Exploring the integration of artificial intelligence in industrial engineering.
The impact of environmental regulations on industrial engineering practices.
Exploring ergonomic design principles in industrial engineering for worker safety.
The future of cyber-physical systems in industrial engineering.
Industrial engineering solutions for minimizing production downtime.
Exploring quality control techniques in modern manufacturing systems.
The role of industrial engineering in reducing production costs.
Exploring the impact of industrial engineering on product life cycle management.

Instrumentation and Control Engineering Thesis Topics

Exploring advanced control systems for industrial automation.
The role of PID controllers in optimizing process control systems.
Investigating wireless sensor networks in instrumentation and control systems.
The future of control engineering in smart manufacturing environments.
Exploring the use of AI in optimizing control systems for complex processes.
The role of SCADA systems in modern industrial control systems.
Exploring sensor fusion techniques for improving instrumentation accuracy.
The impact of IoT on instrumentation and control systems.
Exploring adaptive control systems for improving process efficiency.
The role of feedback control systems in robotic applications.
Exploring the use of neural networks in advanced control systems.
The impact of real-time data processing on instrumentation systems.
Investigating process control systems for chemical engineering applications.
The role of digital twin technology in instrumentation and control systems.
Exploring model predictive control for optimizing industrial processes.
The impact of control engineering on energy management systems.
Investigating instrumentation systems for renewable energy applications.
The role of automation in enhancing instrumentation system reliability.
Exploring advanced control algorithms for process optimization.
Investigating the use of fuzzy logic in control engineering applications.
The future of instrumentation and control systems in smart grids.
Exploring the integration of cyber-physical systems in control engineering.
Investigating the role of machine learning in predictive control systems.
Exploring instrumentation systems for aerospace engineering applications.
The impact of environmental monitoring on control system design.
Investigating the role of sensors in autonomous vehicle control systems.
The role of control engineering in developing safe automated systems.
Exploring distributed control systems for large-scale industrial operations.
The impact of process optimization on instrumentation system performance.
Investigating the role of virtual instrumentation in modern control engineering.

Mechanical Engineering Thesis Topics

The role of thermodynamics in optimizing mechanical systems.
Exploring advancements in fluid mechanics for engineering applications.
Investigating the future of renewable energy systems in mechanical engineering.
Exploring the role of mechanical engineering in developing autonomous vehicles.
The impact of additive manufacturing on mechanical engineering design.
Exploring the use of composite materials in mechanical engineering applications.
Investigating the role of vibration analysis in mechanical system diagnostics.
The role of robotics in mechanical engineering: Challenges and opportunities.
Exploring advancements in heat transfer for energy-efficient systems.
The role of mechanical engineering in developing sustainable transportation systems.
Exploring the future of mechanical engineering in the aerospace industry.
The role of mechanical engineering in advancing prosthetic limb technology.
Investigating energy storage systems in mechanical engineering applications.
The impact of computational fluid dynamics (CFD) on mechanical engineering design.
Exploring thermal management techniques for mechanical systems.
The role of mechanical engineering in designing energy-efficient HVAC systems.
Investigating noise reduction technologies in mechanical systems.
The future of mechanical engineering in the automotive industry.
Exploring smart materials for mechanical engineering applications.
The role of mechanical engineering in enhancing wind turbine efficiency.
Investigating mechanical system reliability in high-stress environments.
The impact of advanced manufacturing techniques on mechanical engineering design.
Exploring advancements in mechanical system simulation technologies.
The role of mechanical engineering in designing high-performance engines.
Investigating mechanical solutions for reducing greenhouse gas emissions.
Exploring the future of nanotechnology in mechanical engineering.
The role of mechanical engineering in developing next-generation batteries.
Investigating the use of AI in mechanical system diagnostics and maintenance.
The impact of mechatronics on the future of mechanical engineering.
Exploring advancements in mechanical design for space exploration.

Production Engineering Thesis Topics

The role of lean manufacturing in reducing production costs.
Exploring advancements in additive manufacturing for mass production.
The impact of Industry 4.0 on production systems and supply chains.
Investigating automation technologies for improving production efficiency.
Exploring process optimization techniques in large-scale manufacturing systems.
The role of robotics in improving production line efficiency.
Exploring sustainable production methods for reducing environmental impact.
The impact of digital twin technology on production planning.
Investigating smart factories: How IoT is transforming production systems.
The role of just-in-time (JIT) production in optimizing supply chains.
Exploring production scheduling techniques for minimizing lead times.
The impact of Six Sigma on production quality control.
Investigating energy-efficient production processes in industrial manufacturing.
The role of AI and machine learning in predictive maintenance for production equipment.
Exploring the use of 3D printing in the production of customized products.
Investigating production optimization using simulation models.
The future of mass customization in production engineering.
The role of automation in reducing labor costs in production systems.
Exploring sustainable materials in eco-friendly production systems.
The impact of global supply chain disruptions on production processes.
Investigating circular economy principles in modern production systems.
The role of advanced manufacturing technologies in the aerospace industry.
Exploring the integration of blockchain technology in production systems for better traceability.
The future of zero-waste manufacturing in production engineering.
Exploring ergonomics in production line design for worker safety.
The role of flexible manufacturing systems (FMS) in improving production agility.
Investigating bottleneck identification techniques in production engineering.
Exploring advancements in manufacturing execution systems (MES).
The role of sustainable packaging in the future of production engineering.
Investigating quality management systems (QMS) in the production of medical devices.

Structural Engineering Thesis Topics

Investigating the use of fiber-reinforced polymers in earthquake-resistant structures.
The role of structural health monitoring in bridge maintenance.
Exploring sustainable materials for green building designs.
The impact of climate change on structural integrity in coastal areas.
Investigating the role of structural engineering in high-rise building design.
Exploring advanced simulation techniques for analyzing structural performance.
The role of structural engineers in preserving historical buildings.
Investigating the use of composite materials in modern structural engineering.
Exploring the future of modular construction in the housing industry.
Investigating earthquake-resistant design techniques for urban infrastructure.
The role of wind engineering in designing resilient skyscrapers.
Exploring 3D printing technologies in structural engineering applications.
Investigating the use of recycled materials in sustainable structural engineering.
The impact of load-bearing capacity on structural designs for large-scale infrastructure.
Exploring the role of nanomaterials in structural engineering innovations.
The role of building information modeling (BIM) in optimizing structural designs.
Investigating soil-structure interaction in the design of foundation systems.
Exploring the role of seismic retrofitting techniques for aging infrastructure.
The impact of blast-resistant design on public safety in high-risk areas.
Investigating structural dynamics for better understanding of vibration and stability.
Exploring the future of smart structures: Integrating sensors for real-time monitoring.
Investigating fire-resistant structural designs in modern building construction.
The role of advanced concrete technology in improving structural durability.
Exploring sustainable urban development through efficient structural design.
The impact of foundation engineering on the safety of large-scale structures.
Investigating the role of parametric design in modern structural engineering.
The future of bamboo as a structural material in eco-friendly buildings.
Exploring adaptive structural systems for climate-resilient buildings.
Investigating the role of computational fluid dynamics (CFD) in wind load analysis.
The role of structural optimization in minimizing material usage without compromising safety.

Systems Engineering Thesis Topics

The role of systems engineering in developing large-scale infrastructure projects.
Investigating model-based systems engineering (MBSE) in complex systems design.
Exploring the use of systems engineering in healthcare system optimization.
The role of systems engineering in improving cybersecurity for critical infrastructures.
Investigating the future of autonomous systems in transportation engineering.
Exploring risk management strategies in systems engineering.
The role of systems engineering in sustainable energy systems development.
Investigating the use of systems engineering for designing smart cities.
The impact of systems engineering on space mission design and execution.
Exploring human factors engineering in complex systems integration.
The role of systems thinking in addressing global challenges in engineering.
Investigating systems engineering solutions for improving supply chain resilience.
Exploring systems integration challenges in defense and aerospace industries.
The role of systems engineering in ensuring safety in high-risk industries.
Investigating systems engineering approaches to optimizing the Internet of Things (IoT).
The role of systems dynamics in managing environmental sustainability projects.
Investigating systems engineering in the development of autonomous drones.
The role of simulation modeling in complex systems engineering projects.
Investigating systems engineering solutions for disaster recovery and resilience.
Exploring cyber-physical systems in industrial applications.
The role of systems engineering in optimizing electric vehicle charging infrastructure.
Investigating systems architecture design in multi-domain operations.
Exploring the integration of renewable energy systems in power grids using systems engineering.
The role of systems engineering in improving air traffic control systems.
Investigating systems engineering approaches to water resource management.
The impact of systems engineering on military logistics and operations.
Exploring systems engineering in the optimization of robotic systems for manufacturing.
The role of systems engineering in managing complex software development projects.
Investigating systems engineering solutions for smart healthcare systems.
Exploring artificial intelligence-driven systems engineering for adaptive automation.

Water Engineering Thesis Topics

The role of water resource management in sustainable urban development.
Investigating innovative water treatment technologies for improving water quality.
Exploring the impact of climate change on water availability and management.
Investigating desalination technologies for addressing global water scarcity.
The role of water engineering in flood prevention and mitigation.
Exploring water recycling technologies for sustainable industrial practices.
Investigating the role of water distribution systems in modern urban planning.
The impact of agricultural practices on water resources: Engineering solutions.
Investigating groundwater management techniques for improving water sustainability.
The role of water engineering in designing efficient irrigation systems.
Exploring the use of remote sensing in water resource monitoring and management.
The future of rainwater harvesting systems in sustainable building designs.
Investigating the role of smart water grids in improving water distribution efficiency.
The impact of urbanization on freshwater ecosystems: Engineering interventions.
Exploring the role of hydroinformatics in water resource management.
Investigating sustainable drainage systems for reducing urban flooding risks.
The role of water engineering in enhancing wastewater treatment processes.
Exploring the future of aquaponics systems in sustainable agriculture.
Investigating the use of AI in optimizing water management systems.
The impact of climate change on water engineering projects in coastal areas.
Exploring the role of water desalination plants in developing countries.
Investigating the challenges of maintaining water infrastructure in aging cities.
The role of bioengineering in improving natural water filtration systems.
Investigating the future of hydropower as a renewable energy source.
Exploring engineered wetlands as a solution for wastewater treatment.
The role of water engineering in addressing global sanitation challenges.
Investigating water quality monitoring technologies for early detection of pollutants.
Exploring low-energy water purification systems for remote communities.
The role of water engineering in designing eco-friendly urban waterfronts.
Investigating the future of decentralized water management systems.

Biotechnology Engineering Thesis Topics

Investigating the role of CRISPR technology in genetic engineering applications.
Exploring bioengineering solutions for developing artificial organs.
The role of biotechnology in developing sustainable biofuels.
Investigating the use of synthetic biology in medical research.
Exploring tissue engineering techniques for regenerative medicine.
Investigating the role of nanotechnology in drug delivery systems.
The impact of biotechnology on agricultural practices for improving crop yield.
Exploring advancements in biosensor technologies for medical diagnostics.
Investigating bioreactors for large-scale production of biological products.
The role of biotechnology in developing vaccines for emerging diseases.
Exploring bioinformatics tools for analyzing genetic data.
Investigating the future of gene therapy in treating genetic disorders.
The role of biotechnology in developing plant-based meat alternatives.
Investigating microbial engineering for bioremediation applications.
Exploring the use of 3D bioprinting in tissue engineering.
Investigating bioengineering approaches to improving wound healing processes.
The role of biotechnology in developing biodegradable plastics.
Investigating the potential of algae as a sustainable energy source.
Exploring the use of biosynthetic pathways for pharmaceutical production.
The role of bioinformatics in advancing personalized medicine.
Investigating the use of biotechnology in combating antibiotic resistance.
Exploring advancements in stem cell engineering for regenerative therapies.
Investigating biomaterials for use in medical implants.
The role of biotechnology in improving water purification systems.
Exploring bioengineering solutions for developing vaccines against cancer.
Investigating gene editing technologies for improving agricultural sustainability.
The future of DNA sequencing in understanding human evolution.
The role of biotechnology in advancing drug discovery and development.
Investigating biotechnology applications in environmental conservation.
Exploring bioengineering solutions for reducing food waste.

Energy Engineering Thesis Topics

Exploring advancements in solar energy harvesting and storage technologies.
The role of wind energy in achieving global renewable energy targets.
Investigating the impact of energy storage systems on grid stability.
The future of hydrogen as a clean energy source: Challenges and opportunities.
Exploring geothermal energy technologies for sustainable power generation.
Investigating energy efficiency measures in large-scale industrial systems.
The role of bioenergy in reducing dependence on fossil fuels.
Investigating the integration of renewable energy sources into existing power grids.
Exploring advancements in battery technologies for electric vehicles.
The role of smart grids in optimizing energy distribution and consumption.
Investigating the potential of wave and tidal energy for coastal regions.
Exploring energy-efficient building designs for sustainable urban development.
The impact of government policies on the adoption of renewable energy technologies.
Investigating the role of artificial intelligence in energy management systems.
Exploring the future of nuclear fusion as a long-term energy solution.
The role of energy engineering in reducing carbon emissions from power plants.
Exploring decentralized energy systems for rural electrification.
Investigating smart metering technologies for improved energy efficiency.
The role of thermal energy storage in renewable energy systems.
Exploring the future of floating solar power plants.
Investigating the potential of hybrid renewable energy systems for continuous power generation.
The role of energy audits in optimizing industrial energy consumption.
Exploring advancements in concentrated solar power (CSP) technologies.
Investigating energy recovery systems for waste-to-energy plants.
The role of blockchain technology in facilitating energy trading in decentralized grids.
Exploring offshore wind farms: Engineering challenges and future potential.
Investigating the use of AI in forecasting renewable energy generation.
The role of energy-efficient transportation systems in reducing global emissions.
Exploring energy policy frameworks for achieving net-zero carbon targets.
Investigating the future of energy microgrids in sustainable urban environments.

Environmental Engineering Thesis Topics

The role of environmental engineering in addressing plastic pollution in oceans.
Investigating advanced wastewater treatment technologies for industrial effluents.
Exploring sustainable urban drainage systems for flood prevention.
The role of bioengineering in ecosystem restoration projects.
Investigating carbon capture and storage technologies for reducing greenhouse gas emissions.
The impact of urbanization on freshwater ecosystems: Engineering solutions.
Exploring the future of air quality monitoring technologies.
The role of environmental engineering in sustainable landfills and waste management.
Investigating water treatment processes for desalination plants in arid regions.
Exploring sustainable agriculture practices for reducing environmental impact.
The role of environmental impact assessments in large-scale infrastructure projects.
Investigating biofiltration systems for improving air quality in industrial areas.
Exploring the potential of green roofs for urban cooling and energy efficiency.
The role of environmental engineering in managing coastal erosion.
Investigating the environmental benefits of urban green spaces and reforestation projects.
Exploring the role of nanotechnology in water purification systems.
Investigating microbial bioremediation for oil spill cleanup.
The impact of climate change on water resource management: Engineering approaches.
Exploring zero-waste engineering solutions for sustainable urban living.
The role of environmental engineering in mitigating the urban heat island effect.
Investigating the future of bioplastics in reducing plastic waste pollution.
Exploring energy-efficient technologies in wastewater treatment plants.
Investigating the use of algae in carbon sequestration and biofuel production.
The role of environmental engineering in designing eco-friendly transportation systems.
Exploring innovations in soil remediation technologies for contaminated land.
Investigating environmental monitoring technologies for real-time pollution tracking.
Exploring sustainable stormwater management systems for urban environments.
The role of environmental engineering in managing deforestation and biodiversity loss.
Investigating low-impact development techniques for sustainable urban planning.
Exploring advancements in renewable energy technologies for off-grid rural communities.

Automotive Engineering Thesis Topics

Exploring advancements in electric vehicle battery technologies for extended range.
Investigating the role of AI in autonomous vehicle navigation systems.
The future of hydrogen fuel cell vehicles: Challenges and opportunities.
Exploring lightweight materials for improving fuel efficiency in automotive design.
Investigating the impact of vehicle-to-everything (V2X) communication on road safety.
The role of automotive engineering in developing electric trucks for long-haul transportation.
Exploring advancements in regenerative braking systems for hybrid vehicles.
Investigating the future of self-healing materials in automotive manufacturing.
The role of aerodynamics in enhancing the performance of electric vehicles.
Exploring advancements in wireless charging technologies for electric vehicles.
Investigating smart sensors for enhancing vehicle safety and collision avoidance.
The role of automotive engineering in reducing the environmental impact of internal combustion engines.
Exploring the future of electric motorsport: Engineering challenges and opportunities.
Investigating the potential of solar-powered vehicles in reducing energy consumption.
The role of automotive engineers in designing energy-efficient autonomous drones.
Exploring smart infotainment systems and their impact on the driving experience.
Investigating advancements in automotive cybersecurity for connected vehicles.
The future of solid-state batteries in electric vehicle development.
Exploring vehicle-to-grid (V2G) technology for energy storage and distribution.
The role of electric vehicle charging infrastructure in accelerating EV adoption.
Investigating the impact of 3D printing on automotive manufacturing processes.
The future of biofuels in reducing emissions from conventional vehicles.
Exploring advanced driver-assistance systems (ADAS) for improving road safety.
Investigating the role of automotive engineering in developing smart tire technologies.
The impact of vehicle electrification on global oil consumption.
Exploring autonomous vehicle ethics: Decision-making algorithms and moral dilemmas.
Investigating advancements in crash testing technologies for electric vehicles.
The role of hybrid powertrains in reducing fuel consumption and emissions.
Exploring advancements in noise reduction technologies for improving passenger comfort.
Investigating the future of fully autonomous public transportation systems.

Materials Engineering Thesis Topics

Investigating the role of nanomaterials in enhancing the strength of structural composites.
Exploring advancements in 3D printing materials for industrial applications.
The impact of smart materials on the future of robotics and automation.
Investigating the role of graphene in improving battery efficiency.
Exploring biodegradable polymers for sustainable packaging solutions.
Investigating the use of shape-memory alloys in aerospace engineering.
The future of carbon fiber composites in lightweight vehicle design.
Exploring advancements in high-temperature superconducting materials.
Investigating biomaterials for medical implants and tissue engineering.
The role of phase-change materials in enhancing energy efficiency in buildings.
Exploring the impact of self-healing materials on the durability of infrastructure.
Investigating corrosion-resistant materials for marine engineering applications.
The role of advanced ceramics in high-performance engine components.
Exploring smart textiles for wearable technology applications.
Investigating advancements in materials for energy-efficient windows and insulation.
The role of piezoelectric materials in energy harvesting technologies.
Exploring biocompatible materials for use in drug delivery systems.
Investigating the use of nanomaterials in improving the performance of solar cells.
The future of eco-friendly construction materials in sustainable building design.
Exploring advancements in composite materials for aerospace structures.
Investigating materials for next-generation flexible electronics.
The role of quantum dots in improving display technologies.
Exploring the use of biomaterials for developing artificial organs.
Investigating high-strength alloys for automotive and aerospace industries.
The impact of materials engineering on the future of electric vehicle design.
Exploring the role of polymers in reducing the environmental impact of packaging.
Investigating sustainable materials for use in green building projects.
The role of materials science in developing new catalysts for energy storage.
Exploring advancements in thermal barrier coatings for gas turbines.
Investigating the future of materials engineering in space exploration.

Robotics Engineering Thesis Topics

Investigating the role of AI in enhancing robotic perception and decision-making.
Exploring the future of humanoid robots in healthcare applications.
The role of swarm robotics in optimizing complex tasks in industrial settings.
Investigating advancements in soft robotics for medical and surgical applications.
Exploring autonomous underwater robots for deep-sea exploration.
The role of robotics in agriculture: Precision farming and crop monitoring.
Investigating the future of robotics in space exploration missions.
Exploring advancements in robotic exoskeletons for physical rehabilitation.
The role of collaborative robots (cobots) in enhancing workplace safety.
Investigating the use of biomimicry in robotics design for improved mobility.
Exploring the impact of autonomous drones on logistics and delivery systems.
The role of robotics in disaster response and search-and-rescue operations.
Investigating sensor fusion techniques for improving robotic navigation.
Exploring advancements in robotic vision systems for object recognition.
The role of wearable robotics in assisting the elderly and disabled populations.
Investigating advancements in autonomous robots for manufacturing industries.
Exploring the future of AI-driven robots in smart cities.
The role of robotic surgery in enhancing precision and reducing recovery times.
Investigating the ethical implications of fully autonomous robots in warfare.
Exploring the future of robotics in autonomous driving systems.
Investigating tactile sensing technologies for improving robot-human interactions.
The role of swarm intelligence in coordinating large-scale robotic systems.
Exploring advancements in robotic grippers for delicate object handling.
Investigating human-robot collaboration in industrial automation.
The role of AI in improving the efficiency of robotic vacuum systems.
Exploring the future of robotics in educational tools and learning environments.
Investigating advancements in autonomous cleaning robots for commercial spaces.
The role of robotics in environmental monitoring and conservation efforts.
Exploring haptic feedback systems for enhancing the control of robotic arms.
Investigating the future of modular robotics for adaptive manufacturing systems.

This comprehensive list of 600 engineering thesis topics highlights the breadth and depth of research possibilities available in various fields of engineering. From addressing current issues like sustainability and digital transformation to exploring future technologies such as quantum computing and AI, these topics provide students with an array of opportunities to engage in meaningful research. By selecting a topic that resonates with your academic interests and career aspirations, you can contribute valuable insights to the ever-evolving world of engineering.

The Range of Engineering Thesis Topics

Engineering is a dynamic and evolving field that plays a crucial role in shaping the future of technology, infrastructure, and innovation. With a wide array of disciplines, from civil engineering to robotics, students pursuing a degree in engineering have the opportunity to explore diverse and impactful topics for their thesis. This article provides an overview of the various directions students can take when selecting engineering thesis topics, focusing on current issues, recent trends, and future opportunities. By understanding these aspects, students can choose topics that not only align with their interests but also contribute to advancing the field of engineering.

Current Issues in Engineering

The engineering world is constantly responding to global challenges that affect industries, societies, and the environment. Many of these challenges provide excellent opportunities for thesis research.

Sustainability and Renewable Energy One of the most pressing issues in modern engineering is the global demand for sustainable energy solutions. As the effects of climate change become more apparent, engineers are tasked with developing technologies that reduce carbon emissions and promote cleaner energy sources. Thesis topics in this area could include advancements in solar and wind energy, innovations in energy storage systems, or the integration of renewable energy into existing grids. These topics are critical as governments and industries push for decarbonization and energy efficiency in response to environmental concerns.
Infrastructure and Urbanization Rapid urbanization and the growing population have placed immense pressure on infrastructure systems, leading to a range of engineering challenges. Civil engineers, in particular, are focusing on sustainable urban development, resilient infrastructure, and smart city technologies to address these concerns. Students can explore topics related to flood prevention, transportation systems, and the development of sustainable materials for construction. The demand for safer, more efficient, and environmentally friendly infrastructure is driving innovation in this sector.
Cybersecurity and Data Protection With the increasing digitalization of industries, cybersecurity has emerged as a critical issue in the engineering world, particularly in fields such as computer engineering and electronics. Protecting sensitive data, securing communication systems, and safeguarding industrial control systems are significant challenges. Topics like cybersecurity protocols for IoT devices, secure communication in smart grids, and encryption technologies for industrial systems are crucial areas of research, especially as industries continue to digitize operations.

Recent Trends in Engineering

In addition to tackling ongoing global issues, engineers are also at the forefront of developing and integrating new technologies that are transforming industries and shaping the future.

Autonomous Systems and Artificial Intelligence (AI) One of the most exciting trends in engineering is the rise of autonomous systems and AI. From self-driving cars to robotic assistants, these technologies are revolutionizing industries such as transportation, healthcare, and manufacturing. Robotics engineering and AI integration in various fields present a broad range of thesis topics, such as autonomous vehicle navigation, AI-driven robotics for medical applications, and ethical considerations in the deployment of autonomous systems. As these technologies continue to advance, they will redefine how we interact with machines and how businesses operate.
Digital Twin and Simulation Technologies Digital twins and simulation technologies are gaining traction in sectors like manufacturing, aerospace, and energy. A digital twin is a virtual representation of a physical system that allows for real-time monitoring, predictive maintenance, and process optimization. Thesis topics in this area could explore the application of digital twin technology in smart manufacturing, its role in optimizing energy systems, or its use in predictive maintenance for complex infrastructure. This trend represents a shift towards more efficient, data-driven engineering processes that improve both productivity and sustainability.
Advances in Materials Science Materials engineering is another area where recent trends are creating opportunities for innovation. The development of smart materials, nanomaterials, and biodegradable polymers is opening up new possibilities in fields such as healthcare, construction, and aerospace. Students interested in materials science can explore topics like the use of nanomaterials in medical devices, self-healing materials for infrastructure, or the development of eco-friendly packaging solutions. These advancements have the potential to transform industries by enhancing product performance and sustainability.

Future Directions in Engineering

As the field of engineering continues to evolve, emerging technologies and innovative approaches will shape its future. Students looking to push the boundaries of what’s possible should consider future-focused thesis topics that address upcoming challenges and opportunities.

Quantum Computing and Quantum Engineering Quantum computing is poised to revolutionize industries by solving problems that are currently beyond the reach of classical computers. This cutting-edge field has the potential to transform areas such as cryptography, material science, and artificial intelligence. Engineering students interested in this area can focus on topics like the development of quantum algorithms, quantum communication technologies, or the integration of quantum computing with traditional systems. As quantum computing moves closer to practical application, engineers will play a critical role in its development and deployment.
Sustainable Engineering and Circular Economies As environmental concerns continue to grow, the shift towards sustainable engineering practices and circular economies is gaining momentum. Circular economies focus on minimizing waste and maximizing the use of resources by reusing, recycling, and regenerating materials. Thesis topics could explore sustainable engineering solutions for waste management, energy recovery from waste, or the design of eco-friendly products that align with circular economy principles. These topics will become increasingly important as industries seek to reduce their environmental footprint.
Space Exploration and Off-Earth Engineering The renewed focus on space exploration presents exciting opportunities for engineers to contribute to the development of off-Earth habitats, space travel, and resource utilization on other planets. With missions to Mars and the Moon on the horizon, thesis topics could include the development of space habitats, autonomous systems for extraterrestrial resource extraction, or the engineering of sustainable life support systems. As humanity ventures further into space, engineering will be at the forefront of solving the technical challenges involved.

Engineering offers a vast and diverse range of thesis topics that reflect the current challenges, recent trends, and future opportunities in the field. Whether you are interested in sustainability, robotics, or quantum computing, there is a wealth of possibilities for students to explore and contribute meaningful research. By focusing on areas that are driving innovation and addressing global issues, students can ensure their thesis projects have a lasting impact on both the engineering community and society as a whole. With the rapid pace of technological advancement, the future of engineering promises to be filled with new discoveries, challenges, and opportunities.

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Computer Science Theses and Dissertations

This collection contains theses and dissertations from the Department of Computer Science, collected from the Scholarship@Western Electronic Thesis and Dissertation Repository

Theses/Dissertations from 2024 2024

ASSESSMENT OF AI-GENERATED IMAGES USING COMPUTATIONAL METRICS AND HUMAN CENTRIC ANALYSIS , Memoona Aziz Ms.

Approximation Algorithms for High Multiplicity Strip Packing, Thief Orienteering, and K-Median , Andrew Bloch-Hansen

A Target-Based and A Targetless Extrinsic Calibration Methods for Thermal Camera and 3D LiDAR , Farhad Dalirani

Efficient Algorithms and Parallel Implementations for Power Series Multiplication , Seyed Abdol Hamid Fathi

Understanding Protein Deep Learning Models through Explainability , Zahra Fazel

Using Driver Gaze and On-Road Driving Data for Predicting Driver Maneuvers in Advanced Driving Assistance Systems , Farzan Heidari

Protein-Protein Interaction Prediction , SeyedMohsen Hosseini

Container Migration: A Perfomance Evaluation Between MIGrror AND Pre-copy , Xinwen Liang

UTILIZING MACHINE LEARNING TECHNIQUES FOR DISPERSION MEASURE ESTIMATION IN FAST RADIO BURSTS STUDIES , Hosein Rajabi

Investigating Tree- and Graph-based Neural Networks for Natural Language Processing Applications , Sudipta Singha Roy

Framework for Bug Inducing Commit Prediction Using Quality Metrics , Alireza Tavakkoli Barzoki

Knowledge-grounded Natural Language Understanding of Biomedical and Clinical Literature , Xindi Wang

Theses/Dissertations from 2023 2023

Classification of DDoS Attack with Machine Learning Architectures and Exploratory Analysis , Amreen Anbar

Multi-view Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces , Sepehr Asgarian

Improved Protein Sequence Alignments Using Deep Learning , Seyed Sepehr Ashrafzadeh

INVESTIGATING IMPROVEMENTS TO MESH INDEXING , Anurag Bhattacharjee

Algorithms and Software for Oligonucleotide Design , Qin Dong

Framework for Assessing Information System Security Posture Risks , Syed Waqas Hamdani

De novo sequencing of multiple tandem mass spectra of peptide containing SILAC labeling , Fang Han

Local Model Agnostic XAI Methodologies Applied to Breast Cancer Malignancy Predictions , Heather Hartley

A Quantitative Analysis Between Software Quality Posture and Bug-fixing Commit , Rongji He

A Novel Method for Assessment of Batch Effect on single cell RNA sequencing data , Behnam Jabbarizadeh

Dynamically Finding Optimal Kernel Launch Parameters for CUDA Programs , Taabish Jeshani

Citation Polarity Identification From Scientific Articles Using Deep Learning Methods , Souvik Kundu

Denoising-Based Domain Adaptation Network for EEG Source Imaging , Runze Li

Decoy-Target Database Strategy and False Discovery Rate Analysis for Glycan Identification , Xiaoou Li

DpNovo: A DEEP LEARNING MODEL COMBINED WITH DYNAMIC PROGRAMMING FOR DE NOVO PEPTIDE SEQUENCING , Yizhou Li

Developing A Smart Home Surveillance System Using Autonomous Drones , Chongju Mai

Look-Ahead Selective Plasticity for Continual Learning , Rouzbeh Meshkinnejad

The Two Visual Processing Streams Through The Lens Of Deep Neural Networks , Aidasadat Mirebrahimi Tafreshi

Source-free Domain Adaptation for Sleep Stage Classification , Yasmin Niknam

Data Heterogeneity and Its Implications for Fairness , Ghazaleh Noroozi

Enhancing Urban Life: A Policy-Based Autonomic Smart City Management System for Efficient, Sustainable, and Self-Adaptive Urban Environments , Elham Okhovat

Evaluating the Likelihood of Bug Inducing Commits Using Metrics Trend Analysis , Parul Parul

On Computing Optimal Repairs for Conditional Independence , Alireza Pirhadi

Open-Set Source-Free Domain Adaptation in Fundus Images Analysis , Masoud Pourreza

Migration in Edge Computing , Arshin Rezazadeh

A Modified Hopfield Network for the K-Median Problem , Cody Rossiter

Predicting Network Failures with AI Techniques , Chandrika Saha

Toward Building an Intelligent and Secure Network: An Internet Traffic Forecasting Perspective , Sajal Saha

An Exploration of Visual Analytic Techniques for XAI: Applications in Clinical Decision Support , Mozhgan Salimiparsa

Attention-based Multi-Source-Free Domain Adaptation for EEG Emotion Recognition , Amir Hesam Salimnia

Global Cyber Attack Forecast using AI Techniques , Nusrat Kabir Samia

IMPLEMENTATION OF A PRE-ASSESSMENT MODULE TO IMPROVE THE INITIAL PLAYER EXPERIENCE USING PREVIOUS GAMING INFORMATION , Rafael David Segistan Canizales

A Computational Framework For Identifying Relevant Cell Types And Specific Regulatory Mechanisms In Schizophrenia Using Data Integration Methods , Kayvan Shabani

Weakly-Supervised Anomaly Detection in Surveillance Videos Based on Two-Stream I3D Convolution Network , Sareh Soltani Nejad

Smartphone Loss Prevention System Using BLE and GPS Technology , Noshin Tasnim

A Hybrid Continual Machine Learning Model for Efficient Hierarchical Classification of Domain-Specific Text in The Presence of Class Overlap (Case Study: IT Support Tickets) , Yasmen M. Wahba

Reducing Negative Transfer of Random Data in Source-Free Unsupervised Domain Adaptation , Anthony Wong

Deep Neural Methods for True/Pseudo- Invasion Classification in Colorectal Polyp Whole-Slide Images , Zhiyuan Yang

Developing a Relay-based Autonomous Drone Delivery System , Muhammad Zakar

Learning Mortality Risk for COVID-19 Using Machine Learning and Statistical Methods , Shaoshi Zhang

Machine Learning Techniques for Improved Functional Brain Parcellation , Da Zhi

Theses/Dissertations from 2022 2022

The Design and Implementation of a High-Performance Polynomial System Solver , Alexander Brandt

Defining Service Level Agreements in Serverless Computing , Mohamed Elsakhawy

Algorithms for Regular Chains of Dimension One , Juan P. Gonzalez Trochez

Towards a Novel and Intelligent e-commerce Framework for Smart-Shopping Applications , Susmitha Hanumanthu

Multi-Device Data Analysis for Fault Localization in Electrical Distribution Grids , Jacob D L Hunte

Towards Parking Lot Occupancy Assessment Using Aerial Imagery and Computer Vision , John Jewell

Potential of Vision Transformers for Advanced Driver-Assistance Systems: An Evaluative Approach , Andrew Katoch

Psychological Understanding of Textual journals using Natural Language Processing approaches , Amirmohammad Kazemeinizadeh

Driver Behavior Analysis Based on Real On-Road Driving Data in the Design of Advanced Driving Assistance Systems , Nima Khairdoost

Solving Challenges in Deep Unsupervised Methods for Anomaly Detection , Vahid Reza Khazaie

Developing an Efficient Real-Time Terrestrial Infrastructure Inspection System Using Autonomous Drones and Deep Learning , Marlin Manka

Predictive Modelling For Topic Handling Of Natural Language Dialogue With Virtual Agents , Lareina Milambiling

Improving Deep Entity Resolution by Constraints , Soudeh Nilforoushan

Respiratory Pattern Analysis for COVID-19 Digital Screening Using AI Techniques , Annita Tahsin Priyoti

Extracting Microservice Dependencies Using Log Analysis , Andres O. Rodriguez Ishida

False Discovery Rate Analysis for Glycopeptide Identification , Shun Saito

Towards a Generalization of Fulton's Intersection Multiplicity Algorithm , Ryan Sandford

An Investigation Into Time Gazed At Traffic Objects By Drivers , Kolby R. Sarson

Exploring Artificial Intelligence (AI) Techniques for Forecasting Network Traffic: Network QoS and Security Perspectives , Ibrahim Mohammed Sayem

A Unified Representation and Deep Learning Architecture for Persuasive Essays in English , Muhammad Tawsif Sazid

Towards the development of a cost-effective Image-Sensing-Smart-Parking Systems (ISenSmaP) , Aakriti Sharma

Advances in the Automatic Detection of Optimization Opportunities in Computer Programs , Delaram Talaashrafi

Reputation-Based Trust Assessment of Transacting Service Components , Konstantinos Tsiounis

Fully Autonomous UAV Exploration in Confined and Connectionless Environments , Kirk P. Vander Ploeg

Three Contributions to the Theory and Practice of Optimizing Compilers , Linxiao Wang

Developing Intelligent Routing Algorithm over SDN: Reusable Reinforcement Learning Approach , Wumian Wang

Predicting and Modifying Memorability of Images , Mohammad Younesi

Theses/Dissertations from 2021 2021

Generating Effective Sentence Representations: Deep Learning and Reinforcement Learning Approaches , Mahtab Ahmed

A Physical Layer Framework for a Smart City Using Accumulative Bayesian Machine Learning , Razan E. AlFar

Load Balancing and Resource Allocation in Smart Cities using Reinforcement Learning , Aseel AlOrbani

Contrastive Learning of Auditory Representations , Haider Al-Tahan

Cache-Friendly, Modular and Parallel Schemes For Computing Subresultant Chains , Mohammadali Asadi

Protein Interaction Sites Prediction using Deep Learning , Sourajit Basak

Predicting Stock Market Sector Sentiment Through News Article Based Textual Analysis , William A. Beldman

Improving Reader Motivation with Machine Learning , Tanner A. Bohn

A Black-box Approach for Containerized Microservice Monitoring in Fog Computing , Shi Chang

Visualization and Interpretation of Protein Interactions , Dipanjan Chatterjee

A Framework for Characterising Performance in Multi-Class Classification Problems with Applications in Cancer Single Cell RNA Sequencing , Erik R. Christensen

Exploratory Search with Archetype-based Language Models , Brent D. Davis

Evolutionary Design of Search and Triage Interfaces for Large Document Sets , Jonathan A. Demelo

Building Effective Network Security Frameworks using Deep Transfer Learning Techniques , Harsh Dhillon

A Deep Topical N-gram Model and Topic Discovery on COVID-19 News and Research Manuscripts , Yuan Du

Automatic extraction of requirements-related information from regulatory documents cited in the project contract , Sara Fotouhi

Developing a Resource and Energy Efficient Real-time Delivery Scheduling Framework for a Network of Autonomous Drones , Gopi Gugan

A Visual Analytics System for Rapid Sensemaking of Scientific Documents , Amirreza Haghverdiloo Barzegar

Calibration Between Eye Tracker and Stereoscopic Vision System Employing a Linear Closed-Form Perspective-n-Point (PNP) Algorithm , Mohammad Karami

Fuzzy and Probabilistic Rule-Based Approaches to Identify Fault Prone Files , Piyush Kumar Korlepara

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Cloud Computing

Why Cloud Computing is Important for Data-driven Business?

The Cloud computing is crucial for data-driven businesses because it provides scalable and cost-effective ways to store and process huge amounts of data. Cloud-based storage and analytical platform helps business to easily access their data whenever required irrespective of where it is located physically. This helps businesses to take good decisions about their products and marketing plans.

Cloud computing could help businesses to improve their security in terms of data, Cloud providers offer various features such as data encryption and access control to their customers so that they can protect the data as well as from unauthorized access.

Few benefits of Cloud computing are listed below:

Scalability: With Cloud computing we get scalable applications which suits for large scale production systems for Businesses which store and process large sets of data.
Cost-effectiveness : It is evident that Cloud computing is cost effective solution compared to the traditional on-premises data storage and analytical solutions due to its scaling capacity which leads to saving more IT costs.
Security : Cloud providers offer various security features which includes data encryption and access control, that can help businesses to protect their data from unauthorized access.
Reliability : Cloud providers ensure high reliability to their customers based on their SLA which is useful for the data-driven business to operate 24X7.

2. A systematic literature review on cloud computing security: threats and mitigation strategies

This is one of cloud computing security research topics in the cloud computing paradigm. The authors then provide a systematic literature review of studies that address security threats to cloud computing and mitigation techniques and were published between 2010 and 2020. They list and classify the risks and defense mechanisms covered in the literature, as well as the frequency and distribution of these subjects over time.

The paper suggests the data breaches, Insider threats and DDoS attack are most discussed threats to the security of cloud computing. Identity and access management, encryption, and intrusion detection and prevention systems are the mitigation techniques that are most frequently discussed. Authors depict the future trends of machine learning and artificial intelligence might help cloud computing to mitigate its risks.

The paper offers a thorough overview of security risks and mitigation techniques in cloud computing, and it emphasizes the need for more research and development in this field to address the constantly changing security issues with cloud computing. This research could help businesses to reduce the amount of spam that they receive in their cloud-based email systems.

Explore the use of blockchain technology to improve the security of cloud computing systems. Investigate the use of machine learning and artificial intelligence to detect and prevent cloud computing attacks. Develop new security tools and technologies for cloud computing environments.

3. Spam Identification in Cloud Computing Based on Text Filtering System

A text filtering system is suggested in the paper "Spam Identification in Cloud Computing Based on Text Filtering System" to help identify spam emails in cloud computing environments. Spam emails are a significant issue in cloud computing because they can use up computing resources and jeopardize the system's security.

To detect spam emails, the suggested system combines text filtering methods with machine learning algorithms. The email content is first pre-processed by the system, which eliminates stop words and stems the remaining words. The preprocessed text is then subjected to several filters, including a blacklist filter and a Bayesian filter, to identify spam emails.

In order to categorize emails as spam or non-spam based on their content, the system also employs machine learning algorithms like decision trees and random forests. The authors use a dataset of emails gathered from a cloud computing environment to train and test the system. They then assess its performance using metrics like precision, recall, and F1 score.

The findings demonstrate the effectiveness of the proposed system in detecting spam emails, achieving high precision and recall rates. By contrasting their system with other spam identification systems, the authors also show how accurate and effective it is.

The method presented in the paper for locating spam emails in cloud computing environments has the potential to improve the overall security and performance of cloud computing systems. This is one of the interesting clouds computing current research topics to explore and innovate. This is one of the good Cloud computing research topics to protect the Mail threats.

Create a stronger spam filtering system that can recognize spam emails even when they are made to avoid detection by more common spam filters. examine the application of artificial intelligence and machine learning to the evaluation of spam filtering system accuracy. Create a more effective spam filtering system that can handle a lot of emails quickly and accurately.

4. Blockchain data-based cloud data integrity protection mechanism

The "Blockchain data-based cloud data integrity protection mechanism" paper suggests a method for safeguarding the integrity of cloud data and which is one of the Cloud computing research topics. In order to store and process massive amounts of data, cloud computing has grown in popularity, but issues with data security and integrity still exist. For the proposed mechanism to guarantee the availability and integrity of cloud data, data redundancy and blockchain technology are combined.

A data redundancy layer, a blockchain layer, and a verification and recovery layer make up the mechanism. For availability in the event of server failure, the data redundancy layer replicates the cloud data across multiple cloud servers. The blockchain layer stores the metadata (such as access rights) and hash values of the cloud data and access control information

Using a dataset of cloud data, the authors assess the performance of the suggested mechanism and compare it to other cloud data protection mechanisms. The findings demonstrate that the suggested mechanism offers high levels of data availability and integrity and is superior to other mechanisms in terms of processing speed and storage space.

Overall, the paper offers a promising strategy for using blockchain technology to guarantee the availability and integrity of cloud data. The suggested mechanism may assist in addressing cloud computing's security issues and enhancing the dependability of cloud data processing and storage. This research could help businesses to protect the integrity of their cloud-based data from unauthorized access and manipulation.

Create a data integrity protection system based on blockchain that is capable of detecting and preventing data tampering in cloud computing environments. For enhancing the functionality and scalability of blockchain-based data integrity protection mechanisms, look into the use of various blockchain consensus algorithms. Create a data integrity protection system based on blockchain that is compatible with current cloud computing platforms. Create a safe and private data integrity protection system based on blockchain technology.

5. A survey on internet of things and cloud computing for healthcare

This article suggests how recent tech trends like the Internet of Things (IoT) and cloud computing could transform the healthcare industry. It is one of the Cloud computing research topics. These emerging technologies open exciting possibilities by enabling remote patient monitoring, personalized care, and efficient data management. This topic is one of the IoT and cloud computing research papers which aims to share a wider range of information.

The authors categorize the research into IoT-based systems, cloud-based systems, and integrated systems using both IoT and the cloud. They discussed the pros of real-time data collection, improved care coordination, automated diagnosis and treatment.

However, the authors also acknowledge concerns around data security, privacy, and the need for standardized protocols and platforms. Widespread adoption of these technologies faces challenges in ensuring they are implemented responsibly and ethically. To begin the journey KnowledgeHut’s Cloud Computing online course s are good starter for beginners so that they can cope with Cloud computing with IOT.

Overall, the paper provides a comprehensive overview of this rapidly developing field, highlighting opportunities to revolutionize how healthcare is delivered. New devices, systems and data analytics powered by IoT, and cloud computing could enable more proactive, preventative and affordable care in the future. But careful planning and governance will be crucial to maximize the value of these technologies while mitigating risks to patient safety, trust and autonomy. This research could help businesses to explore the potential of IoT and cloud computing to improve healthcare delivery.

Examine how IoT and cloud computing are affecting patient outcomes in various healthcare settings, including hospitals, clinics, and home care. Analyze how well various IoT devices and cloud computing platforms perform in-the-moment patient data collection, archival, and analysis. assessing the security and privacy risks connected to IoT devices and cloud computing in the healthcare industry and developing mitigation strategies.

6. Targeted influence maximization based on cloud computing over big data in social networks

Big data in cloud computing research papers are having huge visibility in the industry. The paper "Targeted Influence Maximization based on Cloud Computing over Big Data in Social Networks" proposes a targeted influence maximization algorithm to identify the most influential users in a social network. Influence maximization is the process of identifying a group of users in a social network who can have a significant impact or spread information.

A targeted influence maximization algorithm is suggested in the paper "Targeted Influence maximization based on Cloud Computing over Big Data in Social Networks" to find the most influential users in a social network. The process of finding a group of users in a social network who can make a significant impact or spread information is known as influence maximization.

Four steps make up the suggested algorithm: feature extraction, classification, influence maximization, and data preprocessing. The authors gather and preprocess social network data, such as user profiles and interaction data, during the data preprocessing stage. Using machine learning methods like text mining and sentiment analysis, they extract features from the data during the feature extraction stage. Overall, the paper offers a promising strategy for maximizing targeted influence using big data and Cloud computing research topics to look into. The suggested algorithm could assist companies and organizations in pinpointing their marketing or communication strategies to reach the most influential members of a social network.

Key insights and Research Ideas:

Develop a cloud-based targeted influence maximization algorithm that can effectively identify and influence a small number of users in a social network to achieve a desired outcome. Investigate the use of different cloud computing platforms to improve the performance and scalability of cloud-based targeted influence maximization algorithms. Develop a cloud-based targeted influence maximization algorithm that is compatible with existing social network platforms. Design a cloud-based targeted influence maximization algorithm that is secure and privacy-preserving.

7. Security and privacy protection in cloud computing: Discussions and challenges

Cloud computing current research topics are getting traction, this is of such topic which provides an overview of the challenges and discussions surrounding security and privacy protection in cloud computing. The authors highlight the importance of protecting sensitive data in the cloud, with the potential risks and threats to data privacy and security. The article explores various security and privacy issues that arise in cloud computing, including data breaches, insider threats, and regulatory compliance.

The article explores challenges associated with implementing these security measures and highlights the need for effective risk management strategies. Azure Solution Architect Certification course is suitable for a person who needs to work on Azure cloud as an architect who will do system design with keep security in mind.

Final take away of cloud computing thesis paper by an author points out by discussing some of the emerging trends in cloud security and privacy, including the use of artificial intelligence and machine learning to enhance security, and the emergence of new regulatory frameworks designed to protect data in the cloud and is one of the Cloud computing research topics to keep an eye in the security domain.

Develop a more comprehensive security and privacy framework for cloud computing. Explore the options with machine learning and artificial intelligence to enhance the security and privacy of cloud computing. Develop more robust security and privacy mechanisms for cloud computing. Design security and privacy policies for cloud computing that are fair and transparent. Educate cloud users about security and privacy risks and best practices.

8. Intelligent task prediction and computation offloading based on mobile-edge cloud computing

This Cloud Computing thesis paper "Intelligent Task Prediction and Computation Offloading Based on Mobile-Edge Cloud Computing" proposes a task prediction and computation offloading mechanism to improve the performance of mobile applications under the umbrella of cloud computing research ideas.

An algorithm for offloading computations and a task prediction model makes up the two main parts of the suggested mechanism. Based on the mobile application's usage patterns, the task prediction model employs machine learning techniques to forecast its upcoming tasks. This prediction is to decide whether to execute a specific task locally on the mobile device or offload the computation of it to the cloud.

Using a dataset of mobile application usage patterns, the authors assess the performance of the suggested mechanism and compare it to other computation offloading mechanisms. The findings demonstrate that the suggested mechanism performs better in terms of energy usage, response time, and network usage.

The authors also go over the difficulties in putting the suggested mechanism into practice, including the need for real-time task prediction and the trade-off between offloading computation and network usage. Additionally, they outline future research directions for mobile-edge cloud computing applications, including the use of edge caching and the integration of blockchain technology for security and privacy.

Overall, the paper offers a promising strategy for enhancing mobile application performance through mobile-edge cloud computing. The suggested mechanism might improve the user experience for mobile users while lowering the energy consumption and response time of mobile applications. These Cloud computing dissertation topic leads to many innovation ideas.

Develop an accurate task prediction model considering mobile device and cloud dynamics. Explore machine learning and AI for efficient computation offloading. Create a robust framework for diverse tasks and scenarios. Design a secure, privacy-preserving computation offloading mechanism. Assess computation offloading effectiveness in real-world mobile apps.

9. Cloud Computing and Security: The Security Mechanism and Pillars of ERPs on Cloud Technology

Enterprise resource planning (ERP) systems are one of the Cloud computing research topics in particular face security challenges with cloud computing, and the paper "Cloud Computing and Security: The Security Mechanism and Pillars of ERPs on Cloud Technology" discusses these challenges and suggests a security mechanism and pillars for protecting ERP systems on cloud technology.

The authors begin by going over the benefits of ERP systems and cloud computing as well as the security issues with cloud computing, like data breaches and insider threats. They then go on to present a security framework for cloud-based ERP systems that is built around four pillars: access control, data encryption, data backup and recovery, and security monitoring. The access control pillar restricts user access, while the data encryption pillar secures sensitive data. Data backup and recovery involve backing up lost or failed data. Security monitoring continuously monitors the ERP system for threats. The authors also discuss interoperability challenges and the need for standardization in securing ERP systems on the cloud. They propose future research directions, such as applying machine learning and artificial intelligence to security analytics.

Overall, the paper outlines a thorough strategy for safeguarding ERP systems using cloud computing and emphasizes the significance of addressing security issues related to this technology. Organizations can protect their ERP systems and make sure the Security as well as privacy of their data by implementing these security pillars and mechanisms.

Investigate the application of blockchain technology to enhance the security of cloud-based ERP systems. Look into the use of machine learning and artificial intelligence to identify and stop security threats in cloud-based ERP systems. Create fresh security measures that are intended only for cloud-based ERP systems. By more effectively managing access control and data encryption, cloud-based ERP systems can be made more secure. Inform ERP users about the security dangers that come with cloud-based ERP systems and how to avoid them.

10. Optimized data storage algorithm of IoT based on cloud computing in distributed system

The article proposes an optimized data storage algorithm for Internet of Things (IoT) devices which runs on cloud computing in a distributed system. In IoT apps, which normally generate huge amounts of data by various devices, the algorithm tries to increase the data storage and faster retrials of the same.

The algorithm proposed includes three main components: Data Processing, Data Storage, and Data Retrieval. The Data Processing module preprocesses IoT device data by filtering or compressing it. The Data Storage module distributes the preprocessed data across cloud servers using partitioning and stores it in a distributed database. The Data Retrieval module efficiently retrieves stored data in response to user queries, minimizing data transmission and enhancing query efficiency. The authors evaluated the algorithm's performance using an IoT dataset and compared it to other storage and retrieval algorithms. Results show that the proposed algorithm surpasses others in terms of storage effectiveness, query response time, and network usage.

They suggest future directions such as leveraging edge computing and blockchain technology for optimizing data storage and retrieval in IoT applications. In conclusion, the paper introduces a promising method to improve data archival and retrieval in distributed cloud based IoT applications, enhancing the effectiveness and scalability of IoT applications.

Create a data storage algorithm capable of storing and managing large amounts of IoT data efficiently. Examine the use of cloud computing to improve the performance and scalability of data storage algorithms for IoT. Create a secure and privacy-preserving data storage algorithm. Assess the performance and effectiveness of data storage algorithms for IoT in real-world applications.

How to Write a Perfect Research Paper?

Choose a topic: Select the topic which is interesting to you so that you can share things with the viewer seamlessly with good content.
Do your research: Read books, articles, and websites on your topic. Take notes and gather evidence to support your arguments.
Write an outline: This will help you organize your thoughts and make sure your paper flows smoothly.
Start your paper: Start with an introduction that grabs the reader's attention. Then, state your thesis statement and support it with evidence from your research. Finally, write a conclusion that summarizes your main points.
Edit and proofread your paper. Make sure you check the grammatical errors and spelling mistakes.

Cloud computing is a rapidly evolving area with more interesting research topics being getting traction by researchers and practitioners. Cloud providers have their research to make sure their customer data is secured and take care of their security which includes encryption algorithms, improved access control and mitigating DDoS – Deniel of Service attack etc.,

With the improvements in AI & ML, a few features developed to improve the performance, efficiency, and security of cloud computing systems. Some of the research topics in this area include developing new algorithms for resource allocation, optimizing cloud workflows, and detecting and mitigating cyberattacks.

Cloud computing is being used in industries such as healthcare, finance, and manufacturing. Some of the research topics in this area include developing new cloud-based medical imaging applications, building cloud-based financial trading platforms, and designing cloud-based manufacturing systems.

Frequently Asked Questions (FAQs)

Data security and privacy problems, vendor lock-in, complex cloud management, a lack of standardization, and the risk of service provider disruptions are all current issues in cloud computing. Because data is housed on third-party servers, data security and privacy are key considerations. Vendor lock-in makes transferring providers harder and increases reliance on a single one. Managing many cloud services complicates things. Lack of standardization causes interoperability problems and restricts workload mobility between providers.

Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) are the cloud computing scenarios where industries focusing right now.

The six major components of cloud infrastructure are compute, storage, networking, security, management and monitoring, and database. These components enable cloud-based processing and execution, data storage and retrieval, communication between components, security measures, management and monitoring of the infrastructure, and database services.

Vinoth Kumar P

Vinoth Kumar P is a Cloud DevOps Engineer at Amadeus Labs. He has over 7 years of experience in the IT industry, and is specialized in DevOps, GitOps, DevSecOps, MLOps, Chaos Engineering, Cloud and Cloud Native landscapes. He has published articles and blogs on recent tech trends and best practices on GitHub, Medium, and LinkedIn, and has delivered a DevSecOps 101 talk to Developers community , GitOps with Argo CD Webinar for DevOps Community. He has helped multiple enterprises with their cloud migration, cloud native design, CICD pipeline setup, and containerization journey.

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What is Cloud Computing?

Cloud computing is the practice of storing and accessing data and applications on remote servers hosted over the internet, as opposed to local servers or the computer’s hard drive. Cloud computing, often known as Internet-based computing, is a technique in which the user receives a resource as a service via the Internet. Files, photos, documents, and other storable documents can all be considered types of data that are stored.

Let us look at the latest in cloud computing research for 2024! We’ve compiled 15 important cloud computing research topics that are changing how cloud computing is used.

1. Big Data

Big data refers to the large amounts of data produced by various programs in a very short duration of time. It is quite cumbersome to store such huge and voluminous amounts of data in company-run data centers . Also, gaining insights from this data becomes a tedious task and takes a lot of time to run and provide results, therefore cloud is the best option. All the data can be pushed onto the cloud without the need for physical storage devices that are to be managed and secured. Also, some popular public clouds provide comprehensive big data platforms to turn data into actionable insights.

DevOps is an amalgamation of two terms, Development and Operations . It has led to Continuous Delivery , Integration, and Deployment therefore reducing boundaries between the development team and the operations team . Heavy applications and software need elaborate and complex tech stacks that demand extensive labor to develop and configure which can easily be eliminated by cloud computing . It offers a wide range of tools and technologies to build , test , and deploy applications within a few minutes and a single click. They can be customized as per the client’s requirements and can be discarded when not in use hence making the process seamless and cost-efficient for development teams .

3. Cloud Cryptography

Data in the cloud needs to be protected and secured from foreign attacks and breaches . To accomplish this, cryptography in the cloud is a widely used technique to secure data present in the cloud . It allows users and clients to easily and reliably access the shared cloud services since all the data is secured using either encryption techniques or by using the concept of the private key . It can make the plain text unreadable and limit the view of the data being transferred. Best cloud cryptographic security techniques are the ones that do not compromise the speed of data transfer and provide security without delaying the exchange of sensitive data.

4. Cloud Load Balancing

It refers to splitting and distributing the incoming load to the server from various sources. It permits companies and organizations to govern and supervise workload demands or application demands by redistributing, reallocating, and administering resources between different computers, networks, or servers. Cloud load balancing encompasses holding the circulation of traffic and demands that exist over the Internet. This reduces the problem of sudden outages, results in an improvement in overall performance, has rare chances of server crashes and also provides an advanced level of security. Cloud-based server farms can accomplish more precise scalability and accessibility using the server load balancing mechanism . Due to this, the workload demands can be easily distributed and controlled.

5. Mobile Cloud Computing

It is a mixture of cloud computing , mobile computing , and wireless network to provide services such as seamless and abundant computational resources to mobile users, network operators, and cloud computing professionals. The handheld device is the console and all the processing and data storage takes place outside the physical mobile device. Some advantages of using mobile cloud computing are that there is no need for costly hardware, battery life is longer, extended data storage capacity and processing power, improved synchronization of data, and high availability due to “store in one place, accessible from anywhere”. The integration and security aspects are taken care of by the backend that enables support to an abundance of access methods.

6. Green Cloud Computing

The major challenge in the cloud is the utilization of energy-efficient and hence develop economically friendly cloud computing solutions. Data centers that include servers , cables , air conditioners , networks , etc. in large numbers consume a lot of power and release enormous quantities of Carbon Dioxide in the atmosphere. Green Cloud Computing focuses on making virtual data centers and servers to be more environmentally friendly and energy-efficient. Cloud resources often consume so much power and energy leading to a shortage of energy and affecting the global climate. Green cloud computing provides solutions to make such resources more energy efficient and to reduce operational costs. This pivots on power management , virtualization of servers and data centers, recycling vast e-waste , and environmental sustainability .

7. Edge Computing

It is the advancement and a much more efficient form of Cloud computing with the idea that the data is processed nearer to the source. Edge Computing states that all of the computation will be carried out at the edge of the network itself rather than on a centrally managed platform or data warehouse. Edge computing distributes various data processing techniques and mechanisms across different positions. This makes the data deliverable to the nearest node and the processing at the edge . This also increases the security of the data since it is closer to the source and eliminates late response time and latency without affecting productivity

8. Containerization

Containerization in cloud computing is a procedure to obtain operating system virtualization . The user can work with a program and its dependencies utilizing remote resource procedures . The container in cloud computing is used to construct blocks, which aid in producing operational effectiveness , version control , developer productivity , and environmental stability . The infrastructure is upgraded since it provides additional control over the granular activities of the resources. The usage of containers in online services assists storage with cloud computing data security, elasticity, and availability. Containers provide certain advantages such as a steady runtime environment , the ability to run virtually anywhere, and the low overhead compared to virtual machines .

9. Cloud Deployment Model

There are four main cloud deployment models namely public cloud , private cloud , hybrid cloud , and community cloud . Each deployment model is defined as per the location of the infrastructure. The public cloud allows systems and services to be easily accessible to the general public . The public cloud could also be less reliable since it is open to everyone e.g. Email. A private cloud allows systems and services to be accessible inside an organization with no access to outsiders. It offers better security due to its access restrictions. A hybrid cloud is a mixture of private and public clouds with critical activities being performed using the private cloud and non-critical activities being performed using the public cloud. Community cloud allows systems and services to be accessible by a group of organizations.

10. Cloud Security

Since the number of companies and organizations using cloud computing is increasing at a rapid rate, the security of the cloud is a major concern. Cloud computing security detects and addresses every physical and logical security issue that comes across all the varied service models of code, platform, and infrastructure. It collectively addresses these services, however, these services are delivered in units, that is, the public, private, or hybrid delivery model. Security in the cloud protects the data from any leakage or outflow, theft, calamity, and removal. With the help of tokenization, Virtual Private Networks , and firewalls , data can be secured.

11. Serverless Computing

Serverless computing is a way of running computer programs without having to manage the underlying infrastructure. Instead of worrying about servers, networking, and scaling, you can focus solely on writing code to solve your problem. In serverless computing, you write small pieces of code called functions. These functions are designed to do specific tasks, like processing data, handling user requests, or performing calculations. When something triggers your function, like a user making a request to your website or a timer reaching a certain time, the cloud provider automatically runs your function for you. You don’t have to worry about setting up servers or managing resources.

12. Cloud-Native Applications

Modern applications built for the cloud , also known as cloud-native applications , are made so to take full advantage of cloud computing environments . Instead of bulky programs like monolithic systems , they’re built to prioritize flexibility , easy scaling , reliability , and constant updates . This modular approach allows them to adapt to changing needs by growing or shrinking on demand, making them perfect for the ever-shifting world of cloud environments. Deployed in various cloud environments like public, private, or hybrid clouds, they’re optimized to make the most of cloud-native technologies and methodologies . Instead of one big chunk, they’re made up of lots of smaller pieces called microservices .

13. Multi-Cloud Management

Multi-cloud management means handling and controlling your stuff (like software, data, and services) when they’re spread out across different cloud companies, like Amazon, Google, or Microsoft. It’s like having a central command center for your cloud resources spread out across different cloud services. Multi-cloud gives you the freedom to use the strengths of different cloud providers. You can choose the best service for each specific workload, based on factors like cost, performance, or features. This flexibility allows you to easily scale your applications up or down as required by you. Managing a complex environment with resources spread across multiple cloud providers can be a challenge. Multi-cloud management tools simplify this process by providing a unified view and standardized management interface.

14. Blockchain in Cloud Computing

Cloud computing provides flexible storage and processing power that can grow or shrink as needed. Blockchain keeps data secure by spreading it across many computers. When we use them together, blockchain apps can use the cloud’s power for big tasks while keeping data safe and transparent. This combo boosts cloud data security and makes it easy to track data. It also lets people manage their identities without a central authority. However, there are challenges like making sure different blockchain and cloud systems work well together and can handle large amounts of data.

15. Cloud-Based Internet of Things (IoT)

Cloud-based Internet of Things (IoT) refers to the integration of cloud computing with IoT devices and systems. This integration allows IoT devices to leverage the computational power, storage, and analytics capabilities of cloud platforms to manage, process, and analyze the vast amounts of data they generate. The cloud serves as a central hub for connecting and managing multiple IoT devices, regardless of their geographical location. This connectivity is crucial for monitoring and controlling devices remotely.

Also Read Cloud computing Research challenges 7 Privacy Challenges in Cloud Computing Difference Between Cloud Computing and Fog Computing

Cloud computing has helped businesses grow by offering greater scalability , flexibility , and saving money by charging less money for the same job. As cloud computing is having a great growth period right now, it has created lots of employment opportunities and research work is done is different areas which is changing the future of this technology. We have discussed about the top 15 cloud computing research topics . You can try to explore and research in these areas to contribute to the growth of cloud computing technology .

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Collaboration and communication between different departments in a medium-size or larger company.

Many different companies experience conflicts of interest between their various departments and issues in collaboration ...

Franchise fatigue

In this thesis, we will explore the complex phenomenon of franchise fatigue within today's film industry. Franchise fati...

Merge and Acquisition and Business Innovation

In the course of my seminar work on "Current Issues of Business Administration," I found the topic of "Mergers and Acqui...

Impacts of COVID-19 on CO2 global reduction

How the pandemic lockdowns affected global CO2 levels by 'pausing' a lot of carbon emitting activities, such as transpor...

Effect of climate change on energy consumption

How climate change has affected energy consumption for countries, companies and the general public? How the economy of p...

Social acceptance of wind power

What are the obstacles that onshore and offshore wind power installation faces in modern day societies.

The relative acce...

Knowledge Sharing Web Application Development Project

Are you seeking a collaboration for developing a brand new or refine an already existing web based application? Then loo...

Motivation for Organizational Change

"I want to investiugate the motivation from employees for organizational change within the organization. I could either...

Economic Dynamics of Precision Medicine: Exploring Business Opportunities and Implications

"Disclaimer: The following thesis proposal outlines an initial idea, but I remain open to alternative proposals related...

Valuation of given company

"The main goal of this thesis is to determine the value of a given company. It does not matter wheter the company is loo...

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New research project ‘slicing’ networks to improve efficiency.

Any way you slice it, technology advancements are changing the way wireless networks are sharing resources with everyday users.

With a new $531,134 grant from the National Science Foundation, School of Computing Assistant Professor Qiang Liu is working to develop a new, aut o nomous , and agile wireless network resource allocation method called “slicing-as-a-service .”

5G networks already utilize “network slicing,” a technique that ensures wireless network resources are distributed and supported in a flexible and cost-efficient manner. As technology continues to evolv e and wireless networks expand the types of applications and devices they serve , the need for more efficient allocation becomes even greater . Providing necessary resources to more dynamic and diverse applications also becomes increasingly more complex and challenging.

“Previously, networks supported users with smartphone s and different applications, but now we have more augmented reality devices , aut o nomous driving cars, and UAVs all connected to the cellular network, and they are quite different in terms of performance requirements,” Liu said. “The challenge is to support them all efficiently.”

Most existing network slicing solutions are co a rse-grained and consist of fewer, larger components that cannot tackle more fine-grained network orchestration issues relating to responsiveness, cost-efficiency, and aut o nomy. This ultimately limits broad er implementation of network slicin g by major service providers.

Liu’s project aims to correct this through slicing-as-a-service, which would aut o mate network slicing and allow mobile applications to be supported at a very low cost. Liu’s project would also make network aut o mation solutions more intelligent, dependable , and accessible to a wider range of users.

“The goal is to make it available to everyone and fulfill demands for the individual, not just for the big companies and big players,” Liu said. “Configuring this parameter is quite challenging, because it requires dedicated expertise . We want to make it like a service, and we want to make it aut o nomous so we don’t need to involve human expertise , which is why we’re calling it ‘slicing-as-a-service.’”

To achieve this, Liu will work to develop “ A ut o S l i c i n g ,” or aut o nomous network orchestration, through deep reinforcement learning (DRL) methods that will continually adjust to changes within the network. Changes may include user movement, network traffic fluctuations , or signal transmission obstruction due to buildings or other interfering factors.

“ A ll those dynamics will be aut o matically learned and reorganized regularly and directly ,” Liu said. “W e need to make sure that the performance requirements of the user can always be met and that these AI machine learning techniques we develop can adapt .”

Liu plans to achieve this by using augmented network simulators and DRL methods to develop realistic A ut o S l i c i n g techniques. Liu will implement and test his technique s on one of his previous initiatives, Husker - Net , the University of Nebraska–Lincoln’s own private 5G network . Husker - Net is the first private 5G network in the state of Nebraska, and one of the only private 5G university research networks in the country. Liu said he will utilize the network to ensure that the A ut o S l i c i n g techniques are functional , streamlined, and most importantly, reliable.

“We need to make sure they are not breaking the network when we are doing this optimization. That's one of the key concerns from industry ,” Liu said. “ We will validate and test it on a campus scale, which is quite unique in the United States. I think that will also make Husker - Net even more optimized. ”

Liu’s A ut o S l i c i n g and slicing-as-a-service technique s will provide many benefits to its users, primarily efficiency in both production and cost. It will also provide those benefits to users at multiple levels, including those who previously could not take advantage of them.

“ F or individuals, we ’ll enable this slicing - as - a - service to ordinary people and small businesses, and democratize this to everyone ,” Liu said. “Operators can also enjoy higher cost reduction because it makes the network aut o nomous , so they don’t need as many human resources and can improve the utilization of the network. I t's quite beneficial for both parties. ”

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1000 Computer Science Thesis Topics and Ideas
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How to search for Harvard dissertations. DASH, Digital Access to Scholarship at Harvard, is the university's central, open-access repository for the scholarly output of faculty and the broader research community at Harvard.Most Ph.D. dissertations submitted from March 2012 forward are available online in DASH.; Check HOLLIS, the Library Catalog, and refine your results by using the Advanced ...
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5G networks already utilize "network slicing," a technique that ensures wireless network resources are distributed and supported in a flexible and cost-efficient manner. As technology continues to evolv e and wireless networks expand the types of applications and devices they serve, the need for more efficient allocation becomes even greater.Providing necessary resources to more dynamic ...

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