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Computer Science PhD Research Projects
We have 1,109 Computer Science PhD Research Projects
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Semi-Supervised, Unsupervised, and Self-Supervised Transfer Learning for Computer Vision
Transfer learning has been demonstrated to improve the generalisation of deep neural networks to real-world applications, especially in situations where labelled training sets are missing. Read more
Approximate Computing for next-gen AI-specific Accelerators
Intelligent systems are pervading every aspect of modern society and their use has become essential in many industries, from big data to industry 4.0, from cloud computing to the Internet of Things, from smart cities to smart wearable devices. Read more
Compiler-Level Precision Tuning
It is currently debated whether we are approaching or already passed the end of Moore’s law. Researchers are investigating new approaches to increase system performances. Read more
Compiler Construction for Digital Twin Simulations
System phantoms, digital twins, shadow systems. They go by different names but they share the same principle. let a machine simulate cyber-physical systems instead of observing the real world. Read more
Characterising Automatically Generated Text
Research is needed to understand the differences between human and machine generated text. Prior research has focused on identification of identification of deceptive text, such as phishing attempts or bot-generated tweets. Read more
Enhanced Deep Learning and Semantic-based Predictive Analytics for Reactive IoT Streaming Data and Applications
The emergence of Internet of Things (IoT) has formed a bridge that connects most of the real-world entities with the related computing entities. Read more
Semantic Model-Driven Explainable Machine Learning Approach for IoT Applications
The increasing availability of sensors and smart things has caused a rise in Internet of Things (IoT) applications. Such technologies has permeated into every aspects of human activities, including technological advancement. Read more
Machine Learning and Hyper-heuristics
Hyper-heuristics (HH) have been successfully used to solve combinatorial problems from different problem domains, such as vehicle routing, bin packing and constraint satisfaction problems. Read more
Self-Adaptive Performance Assurance for AI Systems
Artificial Intelligence (AI) systems are prevalent in our daily life. Read more
Boolean functions with optimal stability of their cryptographic indicators under restriction of their inputs
Encrypting data is essential for ensuring the security of our electronic communications. The ciphers in current use are built from smaller components, one of them being a cryptographic Boolean function. Read more
Modelling of Palladium Implants for Prodrug Cancer Treatment
About the Project. Most anti-cancer drugs have serious side effects, limiting their efficacy. These could be reduced by using a prodrug which circulates harmlessly until being activated at the tumour site. Read more
Innovative Additive Manufactured Designs of Multi-Functional High Performance Active/Non-Active Parts in Traction Electrical Machines
In electric vehicle motors, the most critical temperature-rise occur in the winding (active) of the electrical machines. Read more
Modelling long timescale effects of irradiation damage of nuclear graphite
Synthetic graphite is a material that has widespread application in nuclear reactors, both within the existing reactors that are currently used in the UK and in the planned next generation reactors. Read more
AI-driven Conversational Storytelling with Humans in Natural Language
Human society and entertainment depend heavily on storytelling. Many of the most popular forms of storytelling in history, such as books, theatre, television and film, involve passive viewer experiences. Read more
Using Formal Dialogue Modules to Guide & Evaluate Conversational AI
Formal dialogue models have been developed over the last several decades to shed light on the conversational practices of people in a wide range of communicative contexts. Read more