Dr Yulei Wu
Senior Lecturer in Computer Science (E&R)
Telephone: 01392 725832
Extension: (Streatham) 5832
Dr. Yulei Wu is a Senior Lecturer with the Department of Computer Science, College of Engineering, Mathematics and Physical Sciences, University of Exeter, United Kingdom. He received his Ph.D. degree in Computing and Mathematics and B.Sc. (1st Class Hons.) degree in Computer Science from the University of Bradford, United Kingdom, in 2010 and 2006, respectively. His expertise is on intelligent networking and his main research interests include computer networks, networked systems, software defined networks and systems, network management, and network security and privacy.
His research has been supported by Engineering and Physical Sciences Research Council, London Mathematical Society, National Natural Science Foundation of China, University's Innovation Platform (Link Fund) and industry.
Dr. Wu serves as an Associate Editor of IEEE Transactions on Network and Service Management, IEEE Transactions on Network Science and Engineering, and IEEE Access, as well as an Area Editor of Computer Networks (Elsevier). He also serves as a Guest Editor for many international journals, including IEEE Journal on Selected Areas in Communications, IEEE Transactions on Industrial Informatics, IEEE Transactions on Cognitive Communications and Networking, IEEE Transactions on Sustainable Computing, and IEEE Transactions on Computational Social Systems. He is a Senior Member of the IEEE and the ACM, and a Fellow of the HEA.
- Intelligent Resource Allocation, Scheduling and Optimisation: Self-Driving Networks, Zero-Touch Networks, Network Slicing and Softwarisation, Software Defined Networking (SDN), Network Functions Virtualisation (NFV), clean-slate post-IP network technologies (e.g., Information Centric Networking), Cloud Computing, Edge Computing, 5G and beyond 5G, Wireless Networks, Green Networking
- Large-scale System Modelling: Network Digital Twin, Analytical Modelling
- Online and Robust Anomaly Detection and its applications in various systems and fields
- Network Security, Privacy and Safety: Privacy Preversing, Accountability, Blockchain
- Stochastic Combinatorial Optimisation
- Game Theory
- Machine Learning, Deep Learning
- Graph Neural Networks
- Queueing Theory, Network Calculus
- I am looking for self-motivated, creative and hardworking PhD students (or Visiting scholars/students) working together to do interesting researches. If you are interested, please email me your CV, transcripts, IELTS score, and everything else that you believe will help your application.