Computing and Informatics Research Centre

Centre
  • Unit(s) of assessment: Computer Science and Informatics
  • School: School of Science and Technology

Overview

The Computing and Informatics Research Centre provides researchers with an exciting environment for undertaking high-quality, interdisciplinary work. We provide expertise in advanced computer science topics 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)

Research Groups

Interactive Systems

Interactive Systems 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 group has a number of strengths across several areas of research activity. We are currently developing virtual environments and games for promoting cognitive and perceptual skills in people with intellectual disabilities, we are carryng out work in assistive technologies, to help improve the accessibility of solutions and related services,  and we are also completing activity into the role of engagement in using robots with students with learning disabilities, the use of assistive technologies in controlling robots, and the development of intelligent multimodal systems to promote communicational skills. Our work also focuses on location-based services, smart devices and user experiences.

Network Infrastructures and Cyber Security

The Network Infrastructures and Cyber Security Group is well-recognised and will play an important part in the REF2020 submission. The research group has the following research strengths. Members of the group are actively researching next generation architectures and systems for large-scale systems. We design and implement simulation models and test new message delivery paradigms based on broadcasting methods for message delivery in ad-hoc networks. We are also investigating novel methods of cloud security, communication and privacy issues, trust-based and trust-provenance systems.

Current research is looking into the application of model-based engineering by using conceptual modelling techniques that are supported by simulations and through underlying mathematical and logical models of complex problems to address a number of areas. The real-time aspect of a number of the relevant application areas required the use of sensors to capture real-time data. Members of the group are investigating protocols for capture, curation and analysis of real-time data streams captured through and internet of things.

Computational Intelligence and Applications

The Computational Intelligence and Applications Research Group 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. 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.

Computational Neuroscience and Cognitive Robotics

Computational Neuroscience and Cognitive Robotics is dedicated to research into computational intelligence, taking inspiration 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.

Mathematical aspects of Computer Sciences

MSC is dedicated to research in abstract and mathematical aspects of classical and quantum computing. The group comprises members from the departments of Computing and Technology, and Mathematics. From the classical computing point, research is conducted in programming languages with specific interests in Functional Programming, Operational Semantics, Denotational Semantics, Type Systems, Equational Reasoning, Program Transformation, Functional Reactive Programming, Domain-Specific Languages, Continuations.

Funding

Interactive Systems

  • 2015:EU Horizon 2020. €618,000 MATHISIS: Managing Affective-learning Through Intelligent atoms and Smart InteractionS
  • 2015:EU Erasmus KA2. €86,124 Real Life. Tackling recidivism in offenders using virtual environments
  • 2014:  EU Horizon 2020 £457,200 No One Left Behind
  • 2014:EPSRC £294,021 Internet of Soft Things

Network Infrastructures and Cyber Security

  • MODUM FP 7 Project – The MODUM project addresses the environmental footprint in the transport sector by developing a new approach for pro-active demand-responsive management of traffic. The project is funded by the EU for 3.1 Million Euro, 400,000 Euro for NTU
  • REMOURBAN - H2020 lighthouse project – A sustainable urban regeneration model leveraging the convergence of energy, mobility and ICT to transform European cities into Smart Cities.
  • IMPART - Transport Catapult UK partnership. The Intelligent Mobility Partnership is part of the Transport Systems Catapult University Partnership Programme. It specialises in intelligent transport and transport infrastructure solutions. This is a UK national project - £480 000, funding for NTU £120,000 incl. contribution from the University

Computational Intelligence and Applications

  • Innovate UK - Tek Chef

Computational Neuroscience and Cognitive Robotics

  • Leverhulme - Novel approaches for constructing optimised multimodal data spaces
  • EU FP7

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