Research Contact: Dr Colin Wilmott
The Computing and Informatics Research Centre provides an exciting environment that targets high-quality, interdisciplinary work with expertise in advanced computer science topics linking to partners from both academia and industry. The Centre comprises five research groups:
- Interactive Systems (IS)
- Network Infrastructures and Cyber Security (NICS)
- Computational Intelligence and Applications (CIA)
- Computational Neuroscience and Cognitive Robotics (CNCR)
- Mathematical aspects of Computer Science (MCS)
The following Impact Case Studies are linked to this subject area:
Interactive Systems (IS)
IS focuses on the development of new technologies for the cognitive and physical rehabilitation of users within the real world, and the promotion of their mental wellbeing. This is a multi-disciplinary endeavour bringing together researchers and clinicians in virtual environments, serious games, games based learning, assistive technologies, location-based services, mobile applications, robotics, health psychology and computational intelligence.
The Research Group is led by Professor David J. Brown.
Network Infrastructures and Cyber Security (NICS)
NICS is a well-recognised group within B11 and will play an important part in the REF2020 submission. It is likely that work from this group will form a case study for the next REF.
The Research Group is led by Dr Evtim Peytchev.
Computational Intelligence and Applications (CIA)
CIA has expertise in analysis and use of methods from the field of computational intelligence, such as artificial neural networks, evolutionary algorithms and swarm intelligence to solve real-world problems in science and engineering. The research group has also expertise in smart environments, ambient assistive technologies, pervasive computing, location aware systems, intelligent modelling, control and robotics. The group also benefits from the Centre for Innovation and Technology Exploitation (CITE), which helps regional companies explore the impact of using emerging technologies within their business environment. Overall, members of the research team apply computationally intelligent methods and techniques to real-world applications that can make a difference to lives and society.
The Research Group is led by Professor Ahmad Lotfi.
Computational Neuroscience and Cognitive Robotics (CNCR)
CNCR is dedicated to research into computational intelligence, taking inspiration from, and learning from, biology, psychology, medicine and neuroscience. The work of the group is directed towards achieving a greater understanding of how the biological brain processes information, particularly sensory information, and the translation of critical aspects of that knowledge into smart computational systems that can perform in a way that humans would consider "intelligent". Current research includes work on visual, auditory and tactile processing. The research finds application in medical devices and cognitive robotics as well as data analytics and big data in medicine, among other areas. The strengths of the group arise from its expertise in computational intelligence, AI and machine learning, its multidisciplinary ethos and expertise, and the fact that it exploits both software modelling and hardware emulations in its work. Furthermore, its links into neuroscience on the one hand and cognitive robotic applications on the other positions it well for EU, Research Council and industrial funding. Current projects are related to modelling of visual, auditory and tactile sensing and their implementations in hardware (Field Programmable Gate Arrays - FPGAs) and in software; deep learning using big data (funded by Leverhulme), activity recognition using machine learning and applications of AI in risk identification for premature babies.
This Research Group is led by Professor T. M. McGinnity.