Nan Cheng (Senior Member, IEEE) received the Ph.D. degree in Electrical and Computer Engineering from the University of Waterloo in 2016, and the B.E. degree and the M.S. degree in Information and Telecommunications Engineering from Tongji University, Shanghai, China, in 2009 and 2012, respectively. He worked as a Post-doctoral fellow with the Department of Electrical and Computer Engineering, University of Toronto, from 2017 to 2019. He is currently a professor with State Key Lab. of ISN and with School of Telecommunications Engineering, Xidian University, Shaanxi, China. He has published over 100 journal papers in IEEE Transactions and other top journals. His current research focuses on AI techniques for future networks, B5G/6G, space-air-ground integrated network, and vehicular networks, and self-driving system.
Lecture Topics
- Knowledge-driven Deep Learning Methods for Wireless Networks