Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

We have 116 kingston PhD Projects, Programmes & Scholarships

Discipline

Discipline

All disciplines

Location

Location

All locations

Institution

Institution

All Institutions

PhD Type

PhD Type

All PhD Types

Funding

Funding

All Funding


kingston PhD Projects, Programmes & Scholarships

We have 116 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

An investigation on the association of high risk human papillomavirus (HPV) types with colonic adenomata and adenocarcinomas: a UK population based study

This PhD studentship invites application for a study “investigating the association between high risk human papillomavirus (HPV) types and colonic adenomata and adenocarcinomas in a UK population”.  Colorectal cancer (CRC) is an important public health problem worldwide occupying most frequent causes of cancer-related mortality. Read more

Smart Sustainable Universities

There is an urgent need for organisations and places to adopt sustainable practices. ‘Smart cities’ in which technology and data are leveraged to understand and optimise infrastructure and behaviour is one approach by which places may be made more susitainable. Read more

Metabolic modulation of microglial homeostasis and immune response

Microglia are a specialised immune cell found in the central nervous system. They are responsible for maintaining brain homeostasis and play an important role in the early onset and development of neuroinflammatory disorders such as Alzheimer’s disease. Read more

Shell-doped quantum dots as smart “on-off” catalysts for thermally sensitive organic transformations

Quantum dots (QDs) are photoluminescent nanoparticles which reside at the cutting edge of opto-electronic device development, with the 2023 Nobel prize in chemistry awarded to 3 of the most prominent scientists in the field. Read more

Valuing green and blue urban landscapes

During this prolonged period of neo-liberal development our discourse in the West has become fragmented between a growing concern for climate change/sustainability and a continued need to promote intensive growth and prioritise the needs of capital. 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

Multi-scale modelling and simulation of bio-inspired structures

Bio-inspired structures draw their primary inspiration from the sheer fecundity of nature in the diversity of forms and their constant evolution in order to better adapt to their environment. 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

Mining the Hippo signalling pathway for novel anti-cancer therapeutics

Candidates are invited to join the Kadri Lab, where our research focuses on developing innovative chemical approaches for discovering novel therapeutics to address unmet global health needs. Read more

Filtering Results