Current research degree projects

Explore our current postgraduate research degree and PhD opportunities.
Explore our current postgraduate research degree and PhD opportunities.
This PhD project leverages Digital Twin technology for cybersecurity in Critical National Infrastructure, focusing on real-time cyberattack monitoring and Operational Technology security. By creating secure digital replicas of physical systems, the research aims to enhance Critical national infrastructure resilience and offer a proactive defence strategy against potential cyber threats.
Internet-connected devices, such as mobile or IoT devices, are now widely used in elderly care for monitoring and tracking. This project aims to explore the security, privacy, and usability issues that older adults and their caregivers face throughout the life cycle of these Internet-connected devices.
This PhD project explores the application of advanced machine learning on wearable biosignal data, such as heart rate and activity levels, to enhance personalized health monitoring. Focus areas include multimodal data integration, real-time processing, and privacy-preserving techniques for predictive health insights, offering impactful advancements in personalized digital healthcare solutions.
This project aims to develop an AI-based practical solution for 3D environments understanding from multi-modal (audio/visual) input data and reproducing it in a virtual or augmented reality space allowing real-time 3D interaction with spatial audio adapted to the environment and user locations.
This PhD project tackles the urgent need for robust security solutions in cross-chain environments in Web3, aiming to safeguard the integrity of interconnected blockchain networks.
Vehicles are becoming sensor-rich, collecting and sharing data about the drivers and passengers. This project aims to explore the drivers' and the passengers' awareness, expectations, and needs for in-vehicle data collection and sharing, identify the gap between their perceptions and vehicles' actual implementation, and develop more privacy-respectful systems.
This PhD focuses on developing deep-learning techniques based on multimodal natural language processing (NLP), including large language models (LLMs), audio processing, computer vision (pose estimation, emotion recognition), knowledge graphs or neurosymbolic models in computational social science, analysing discourse in text/audio/video format, including emotional rhetoric analysis, information extraction, and argument mining.