Computer Science research
Our research focuses on the computational understanding and engineering of complex systems. For example, we work on better understanding of the evolution of bacteria, on computational modelling of neural systems, on evidence based engineering of software systems, and on the development of novel computational intelligence methods for engineering applications. We expect that the impact of our research will be significant. Our research facilitates biomedical innovations that improve the quality of life for many people. Our work paves the way for software engineering innovations that improve the security, reliability and quality of computing devices and services used in everyday life and industrial settings as well.
Our research themes
We use computational modelling and analysis to understand how neural systems work and to design engineering solutions for biomedical problems that involve abnormal or lacking neural control.
Theme Lead: Dr Charles Day
Theme Members: Professor Peter Andras, Dr Theocharis Kyriacou, Dr KP Lam, Dr Shailesh Naire, Mr David Collins, Dr Ed Chadwick, Dr Stas Glazewski, Dr John Butcher, Dr Dimitra Blana.
We develop and analyse evolutionary systems to advance understanding of natural and artificial evolutionary processes and their capacity to generate increasingly intelligent behaviours.
Theme Lead: Dr Alastair Channon
Theme Members: Professor Peter Andras, Dr Elizabeth Aston, Dr James Borg, Dr Charles Day, Dr Theocharis Kyriacou, Dr Adam Stanton
We work on the development and application of machine learning and computational intelligence methods to address biomedical and engineering problems characterised by large volumes of complex data.
Theme Lead: Professor Peter Andras
Theme Members: Dr Charles Day, Dr KP Lam, Dr Theocharis Kyriacou, Mr David Collins, Dr Peter Fletcher, Dr John Preater, Dr John Butcher, Professor Zhong Fan, Dr Bappaditya Mandal
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.
Theme Lead: Dr Sandra Woolley
Theme Members: Professor Peter Andras, Professor Pearl Brereton, Professor Barbara Kitchenham, Mr Steve Linkman, Dr Goksel Misirli, Dr Thomas Neligwa, Dr Marco Ortolani, Professor Fiona Polack, Dr Ed de Quincey, Dr Gordon Rugg, Dr Mark Turner, Professor Zhong Fan, Dr Bappaditya Mandal