We have a dynamic research culture with an international reputation. Our research ranges from underlying mathematical theory to the practical creation and operation of networked systems. Research undertaken within the department makes valuable contribution and has a positive impact to the rapidly growing sector.

This research theme focuses on both theoretical and application aspects in artificial intelligence (AI), computer vision, robotics and autonomous systems, machine learning, bio-inspired AI, pattern recognition, embedded intelligence, image processing, as well as human-computer interaction (HCI) and human-factors.

We collaborate extensively with industry to ensure the relevance of our research and we attract funding from EPSRC, Newton Fund, Innovate UK, the EU, the Home Office, the NHS and UK industry. Our research has been successfully applied to a variety of real-world domains, including:

  • service robots
  • agricultural robots
  • driverless vehicles
  • autonomous vehicles
  • underwater robots
  • human motion analysis
  • medical imaging
  • security and surveillance
  • sports
  • environment monitoring
  • ambient assisted living
  • risk and safety assessment
  • commodity trading
  • manufacturing.

Theories and technologies in networking, sensing, control and communication play important roles in the modern world and are expected to remain of great significance in the future. Our research focuses on all aspects of networking and communication systems, and addresses specific issues related to the internet and control, wireless sensor networks, network performance modelling and measurement, performance evaluation with Quality of Service (QoS) constraints, and application performance investigation. Work ranges from the underlying mathematical theory to the practical creation and operation of networked systems.

Research strengths include internet control, wireless sensor networks, internet Quality of Service and congestion control, coding theory, and accessibility and usability.

The research of the TCS group covers a relatively wide range of established and emerging fields in theoretical computer science, including mathematical logic, formal languages, computability and complexity theory, numerical analysis, cryptography, geometric computation, algorithmic learning theory and energy efficient scheduling.

As part of the School of Science, PhD students within the department may also contribute to our interdisciplinary research centres:

  • Centre for Sensing and Imaging Science
  • Centre for the Science of Materials
  • Centre for Geometry and Applications
  • Centre for Analytical Science
  • Interdisciplinary Centre for Mathematical Modelling
  • Interdisciplinary Science Centre from Laboratory to Fabrication (Lab2Fab)

For more information on research areas, please contact Professor Qinggang Meng or call +44 (0)1509 635676.