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We have 45 Computer Science (kingston) PhD Projects, Programmes & Scholarships

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Computer Science (kingston) PhD Projects, Programmes & Scholarships

We have 45 Computer Science (kingston) PhD Projects, Programmes & Scholarships

Medical Image Analysis using Deep Learning

Medical Image Analysis aims to extract information from available visual modalities such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and Ultasonography (US) to detect conspicuous structures, quantigy their properties, evaluate the effectiveness of treatment or diagnose a condition. Read more

Human Motion Analysis using Computer Vision and Deep Learning

Analysis of human motion is implicitly or explicitly required in many areas such as healthcare, sports, video surveillance, body-based user interfaces and computer games and animation. Read more

Simulation-based Quantum Machine Learning for Advancing Cyber Security

This PhD project offers a unique opportunity to contribute to the intersection of quantum computing, AI, and cybersecurity. The research outcomes could redefine the landscape of Network Intrusion Detection Systems (NIDSs), paving the way for Zero Trust automation. Read more

Secure AI-enhanced Policy Framework for Digital Health Data

This proposal is part of the Data-mdapps project which is a collaboration between Kingston University and the WHO European Office for the Prevention and Control of Noncommunicable Diseases (NCD Office) and focuses on addressing the challenges of developing a technical and security policy framework for digital health behavioural data processing. Read more

Intelligent, Energy Efficient and Secure Tactile Communication using Federated Learning in 6G Network

In 5G, ultra-reliable low-latency communication has been a backbone for various applications that need an extremely low delay. However, further research will be required to minimize the round trip delay and improve energy efficiency and security of user data in the 6G network [1]. Read more

Exploration of deep learning based generative adversarial networks (GANs) to mitigate bias in the evaluation of medical images among diverse population and disease sub-groups

Medical image analysis using Deep Learning models involves training on progressively larger datasets. Homogeneity of data within the training set, particularly in its representation of diverse population sub-groups and various disease stages, substantially influences model effectiveness. Read more

Design, Implementation and Evaluation of Non-Cooperative Game Theoretic Models for Cyber Security

Cyber security is the assessment of, responding to and monitoring of the security of the cyberspace. It is difficult to pin down to one single scientific discipline, but rather relates to a number of domains and fields such as physical security, network security, security assessment frameworks and the human element. Read more

Zero Trust Automation: Advancing Security with AI-based Intrusion Detection System

We are seeking an exceptional PhD candidate to join our cutting-edge research projects aimed at developing innovative solutions to enhance cyber security with deep learning-based continuous monitoring and response systems for real-time security incident detection and response in zero trust environments. Read more

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