We have 45 Kingston University Computer Science PhD Projects, Programmes & Scholarships

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Kingston University Computer Science PhD Projects, Programmes & Scholarships

We have 45 Kingston University Computer Science PhD Projects, Programmes & Scholarships

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

Kingston University Faculty of Engineering, Computing and the Environment

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

Supervisor: Dr X Liang

Year round applications PhD Research Project Self-Funded PhD Students Only

Utilising NLP integrated with microservices architecture to analyse longitudinal medical records to reconstruct comprehensive patient journeys

Kingston University Faculty of Engineering, Computing and the Environment

Electronic Medical Records (EMRs) provide a streamlined and secure digital platform, facilitating the storage, management, and sharing of patient information among healthcare providers. Read more

Supervisor: Dr P Kumarapeli

Year round applications PhD Research Project Self-Funded PhD Students Only

UAV-assisted Distributed Blockchain Technology to Secure the IoTs from DDoS

Kingston University Faculty of Engineering, Computing and the Environment

Internet-of-Things (IoT) is an ecosystem of sensors and physical devices that are accessible through the Internet. Read more

Supervisor: Dr D GC

Year round applications PhD Research Project Self-Funded PhD Students Only

Trusted AI for Diabetes personalised self-management systems

Kingston University Faculty of Engineering, Computing and the Environment

Diabetes mellitus is a common cause of morbidity and mortality across the globe. Type 2 diabetes continues to rise in prevalence annually; from 1980 to 2004, Type 2 quadrupled in both prevalence and incidence [1]. This will be exacerbated further by the increase in obesity. Read more

Supervisor: Dr N Philip

Year round applications PhD Research Project Self-Funded PhD Students Only

Transforming the Future: AI-powered Sustainable solution to enable fast response to dangerous pollution levels for a breathable tomorrow

Kingston University Faculty of Engineering, Computing and the Environment

The research project aims to construct an autonomous computational system using purposeful AI (ML, Deep Learning) that continuously collects and analyses datasets from various sources (e.g. Read more

Supervisor: Dr F Rahman

Year round applications PhD Research Project Self-Funded PhD Students Only

SLAM for UAV navigation in GPS and vision denied environments using deep reinforcement learning.

Kingston University Faculty of Engineering, Computing and the Environment

The aim of this project is to develop an UAV system capable of providing real time navigation including 3D mapping reconstruction, path planning and obstacle avoidance in GPS and vision denied environments. Read more

Supervisor: Dr O Duran

Year round applications PhD Research Project Self-Funded PhD Students Only

Simulation-based Quantum Machine Learning for Advancing Cyber Security

Kingston University Faculty of Engineering, Computing and the Environment

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

Supervisor: Dr X Liang

Year round applications PhD Research Project Self-Funded PhD Students Only

Security and Privacy of Energy-Constraint Internet of Things Communication using Distributed AI

Kingston University Faculty of Engineering, Computing and the Environment

In recent years, the Internet of Things (IoT) has progressed dramatically due to advancements in technology. It plays an important role in the development of abundant applications and economic ventures. Read more

Supervisor: Dr D GC

Year round applications PhD Research Project Self-Funded PhD Students Only

Secure AI-enhanced Policy Framework for Digital Health Data

Kingston University Faculty of Engineering, Computing and the Environment

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

Supervisor: Prof C Politis

Year round applications PhD Research Project Self-Funded PhD Students Only

Robust perception, decision making and path prediction for autonomous vehicles

Kingston University Faculty of Engineering, Computing and the Environment

Development of autonomous vehicles are seeing a grown in many different applications. As we increase the levels of automation and move into Self-driving cars, it is expected that these systems will combine a variety of sensors to perceive their surroundings in a robust manner and avoid human errors. Read more

Supervisor: Dr O Duran

Year round applications PhD Research Project Self-Funded PhD Students Only

Robust perception, decision making and path prediction for autonomous vehicles

Kingston University Faculty of Engineering, Computing and the Environment

. Development of autonomous vehicles are seeing a grown in many different applications. As we increase the levels of automation and move into Self-driving cars, it is expected that these systems will combine a variety of sensors to perceive their surroundings in a robust manner and avoid human errors. Read more

Supervisor: Dr R Benhadj-Djilali

Year round applications PhD Research Project Self-Funded PhD Students Only

Revolutionising Connectivity of Medical Wearable Devices: Harnessing Deep Learning to Enhance Network Performance and Sustainability

Kingston University Faculty of Engineering, Computing and the Environment

Introduction. With the promise of unprecedented data speeds, near-zero latency, and ubiquitous connectivity, 6G networks are poised to revolutionize industries ranging from healthcare to autonomous vehicles. Read more

Supervisor: Dr N Ahmadi

Year round applications PhD Research Project Self-Funded PhD Students Only

Quantum Machine Learning for Sustainable Energy Optimisation

Kingston University Faculty of Engineering, Computing and the Environment

We are seeking a highly motivated candidate to commence a PhD journey in the dynamic and rapidly growing field of quantum machine learning (QML), focusing on its application in energy system. Read more

Supervisor: Dr X Liang

Year round applications PhD Research Project Self-Funded PhD Students Only

Quality assessment for light-field imaging

Kingston University Faculty of Engineering, Computing and the Environment

Among the recent media modalities enabling better immersive viewing experiences for the end-users, light field (LF) imaging is emerging. Read more

Supervisor: Prof M Martini

Year round applications PhD Research Project Self-Funded PhD Students Only

Neuromorphic sensing and computing

Kingston University Faculty of Engineering, Computing and the Environment

Neuromorphic vision sensors enable the acquisition of scenes with limited energy requirements and low data rate, only acquiring information on what changes in the scene, with a behaviour similar to the one of the human eye. Read more

Supervisor: Prof M Martini

Year round applications PhD Research Project Self-Funded PhD Students Only

Near-real time and microscale crime prediction

Kingston University Faculty of Engineering, Computing and the Environment

Crimes incur significant financial, societal and emotional costs, and their reduction is invariable to improving the safety of our society. Read more

Supervisor: Dr N Shiode

Year round applications PhD Research Project Self-Funded PhD Students Only

Medical Image Analysis using Deep Learning

Kingston University Faculty of Engineering, Computing and the Environment

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

Supervisor: Prof D Makris

Year round applications PhD Research Project Self-Funded PhD Students Only

Mapping solar PV potential for existing buildings stocks in the UK by deep learning of satellite and aerial images data

Kingston University Faculty of Engineering, Computing and the Environment

Project Abstract. We are seeking an ambitious PhD candidate to join a cutting-edge research project aiming to map the solar photovoltaic (PV) potential for existing building stocks in the UK through the application of deep learning on satellite and aerial image data. Read more

Supervisor: Dr J Deng

Year round applications PhD Research Project Self-Funded PhD Students Only

Machine Learning and Domain Decomposition methods for Fluid Dynamics

Kingston University Faculty of Engineering, Computing and the Environment

Modelling of many modern applications leads to linear systems whose size is too large to allow the use of direct solvers. Thus, parallel solvers are becoming increasingly important in scientific computing. Read more

Supervisors: Dr M Bosy, Dr G Hunter

Year round applications PhD Research Project Self-Funded PhD Students Only

Local Variations of Biodiversity Index

Kingston University Faculty of Engineering, Computing and the Environment

Why is it important to measure biodiversity accurately?. Read more

Supervisor: Dr N Shiode

Year round applications PhD Research Project Self-Funded PhD Students Only

Investigation of the regression of propellants in a hybrid propellant rocket engine using gelled/solidified RP-1 and other hydrocarbon propellants

Kingston University Faculty of Engineering, Computing and the Environment

Kingston University has developed and pioneered the use of two innovative technologies in recent years that we hope will have a significant impact on the space and launch propulsion sectors. Read more

Supervisor: Dr P Shaw

Year round applications PhD Research Project Self-Funded PhD Students Only

Investigating effects of environmental stressors on ecosystem function using hyperspectral leaf reflectance

Kingston University Faculty of Engineering, Computing and the Environment

There is an increasing urgency to understand the biochemical and physiological responses of plants to global environmental change. Read more

Supervisor: Dr O Duran

Year round applications PhD Research Project Self-Funded PhD Students Only

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

Kingston University Faculty of Engineering, Computing and the Environment

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

Supervisor: Dr D GC

Year round applications PhD Research Project Self-Funded PhD Students Only

Image-based Recognition of Unidentified Featured Objects (UFOs)

Kingston University Faculty of Engineering, Computing and the Environment

With the development of deep learning approaches and convolutional neural networks (CNN) in particular, the task of recognising objects from an image has become associated with the ability to train a network using a large number of labelled images for each class of interest [He2016]. Read more

Supervisor: Prof JC Nebel

Year round applications PhD Research Project Self-Funded PhD Students Only

Identification and characterisation of liquids using ultrasound and machine learning

Kingston University Faculty of Engineering, Computing and the Environment

This project involves further development of an analytical system for identifying and characterising liquids based on the formation of liquid drops and employing interferometric ultrasound methods to investigate them. Read more

Supervisor: Prof A Augousti

Year round applications PhD Research Project Self-Funded PhD Students Only

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

Kingston University Faculty of Engineering, Computing and the Environment

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

Supervisors: Prof S Barman, Dr F Rahman

Year round applications PhD Research Project Self-Funded PhD Students Only

Emergent Properties of Large Databases

Kingston University Faculty of Engineering, Computing and the Environment

The emergence of unusual or unexpected distributions in large data samples has resulted in some well-known laws, which includes Zipf’s Law in textual analysis [1], the Pareto distribution in the measurement of wealth [2], Benford’s Law in the distribution of first digits in real-world measurements [3], and Chargaff’s Second Parity Rule in genetics [4]. Read more

Supervisor: Dr G Hunter

Year round applications PhD Research Project Self-Funded PhD Students Only

Digital Twins in Cyber Security Analysis of Connected and Autonomous Vehicles (DTCS-CAV)

Kingston University Faculty of Engineering, Computing and the Environment

Connected and automated vehicle (CAV) technology plays a significant role in the exciting transportation revolution today in the UK, offering road safety, high efficiency, less emission and a better user experience. Read more

Supervisor: Dr H Yuan

Year round applications PhD Research Project Self-Funded PhD Students Only

Development, Analysis, and AI-Augmentation of Steganographic Blockchain Protocols in Conjunction with Secure Multi-party Computation for Enhanced Privacy and Security

Kingston University Faculty of Engineering, Computing and the Environment

The aim of this project is to develop and analyse novel steganographic blockchain protocols integrated with Secure Multi-party Computation (SMPC) and Artificial Intelligence (AI) privacy-preserving approaches that emphases on developing a robust framework for strengthened privacy and security in decentralised systems. Read more

Supervisor: Dr O Omego

Year round applications PhD Research Project Self-Funded PhD Students Only

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

Kingston University Faculty of Engineering, Computing and the Environment

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

Supervisor: Dr E Pfluegel

Year round applications PhD Research Project Self-Funded PhD Students Only

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