In Detail: Our Research

Research Interests

We are interested in ethics-responsible decision making and its applications on future networks, digital infrastructure, and social problems. Intelligence, Efficiency, and Trust (IET) are the three key objectives of our research. Our main research areas include:

  • Networking: Self-Driving Networks / Zero-Touch Networks / Autonomous Networks, Network Slicing and Softwarization, Software Defined Networking (SDN), Network Functions Virtualisation (NFV), clean-slate post-IP network technologies (e.g., Information Centric Networking), 5G and beyond 5G, Wireless Networks, Green Networking
  • Internet of Things (IoT), Industrial IoT (IIoT)
  • Edge Intelligence: Edge Computing, Edge AI
  • System Modelling: Digital Twins, Analytical Modelling
  • Anomaly Detection and its application in various systems and fields
  • Information Security
  • Ethical and Explainable AI

The methodologies we usually used to carry out our research include:

  • Stochastic Combinatorial Optimisation
  • Game Theory
  • Machine Learning, Deep Learning, Deep Reinforcement Learning
  • Graph Neural Networks
  • Queuing Theory, Network Calculus

We’re also working with the Exeter Science Centre to help make our research more accessible to the public – have a read of our latest research summaries to find out more.