In Detail: Our Research
The overall goal of our research is to make networking and networked systems “smarter” to operate and manage, and provide trustworthy services to people and society.
In particular, we focus on applied AI, and its trustworthiness and ethics, in networking, Internet of Things and edge intelligence, to improve user experience. Intelligence, Efficiency, and Trust (IET) are the three key objectives of our research. Our main research interests 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) and Industrial IoT (IIoT)
- Edge intelligence: edge computing, cloud computing, edge AI
- System Modelling: Digital Twin, Analytical Modelling.
- Anomaly Detection and its applications in various systems and fields.
- Autonomous and Connected Systems
- Privacy and Trust: Privacy Preserving, Accountability, Blockchain
The methodologies we usually used to carry out our research include:
- Stochastic Combinatorial Optimisation
- Game Theory
- Machine Learning, Deep 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.