Feng Lyu (M'18-SM'22) received the Ph.D. degree in Department of Computer Science and Engineering from Shanghai Jiao Tong University, Shanghai, China, in 2018. From 2018 to 2020, he was a Postdoctoral Fellow with the Broadband Communications Research Group, Department of Electrical and Computer Engineering, University of Waterloo, Canada. He is currently a Full Professor with the School of Computer Science and Engineering, Central South University, Changsha, China. His research interests include mobile networks, beyond 5G networks, big data measurement and application design, and cloud/edge computing. He has published over 100 scientific articles in leading journals and top conferences, including Proceedings of the IEEE, IEEE JSAC, IEEE/ACM ToN, IEEE TMC, IEEE TPDS, and IEEE INFOCOM, VLDB, ACM SenSys, etc. His research results have been highly visible, with 9 publications being ranked as ESI Highly Cited Papers. He is the recipient of the best paper award of IEEE ICC 2019, IEEE/CAA Journal of Automatica Sinica “Norbert Wiener Review Award” in 2020, Outstanding Paper Award from Chinese Journal on Internet of Things in 2021, IEEE Technical Committee on Hyper-Intelligence (IEEE HITC) 2023 Early Career Researcher, and 2024-2025 IEEE ComSoc Distinguished Lecturer. He currently serves as associate editors for IEEE Internet of Things Journal, IEEE Systems Journal, and Peer-to-Peer Networking and Applications, and serves as TPC members for many international conferences.
Lecture Topics
- Towards Lightweight Federated Learning: Data-Driven Optimization Approaches
- Shaping Data Distribution at Edge for Communication-Efficient Hierarchical Federated Learning
- Synthesizing Large-scale Mobile Cellular Network Data with Deep Generative Network