OVERVIEW

PhD projects are available across a range of areas including Software and Systems Engineering, Computational Neuroscience and Biomedical Engineering, Evolutionary Systems, Machine Learning and Computational Intelligence.

RESEARCH INTERESTS

Below is a selection of our current and recent research interests.

Computational Neuroscience and Biomedical Engineering: we research applications and methods of computational modelling and analysis with the aim to understand how neural systems work and to design engineering solutions for biomedical problems that involve abnormal or lacking neural control.

Evolutionary Systems: we work on the development and analysis of neuroevolutionary systems to advance understanding of the capacity of evolutionary processes to generate increasingly intelligent behaviours in virtual creatures.

Software and Systems Engineering: we carry out research in the areas of complex systems, computational systems, knowledge modelling, human-computer interaction (HCI), user-centred design (UCD), ‘big data’ analytics, e-Learning and biological system design. We also have research interests in computer vision, cultural informatics, wearable systems and health technologies. Together our research themes have applications and strong relevance to health, education and smart energy.

Machine Learning and Computational Intelligence: AI (deep learning, reinforcement learning, federated learning) and data analytics for various IoT and smart energy and smart city applications; fog/edge computing; digital twin.