Dr. Geoffrey Ye Li is the Chair Professor in Wireless Systems in Department of EEE, Imperial College London. Before joining Imperial College London in 2020, he was a professor with Georgia Institute of Technology, GA, USA, for 20 years and a Principal Technical Staff Member with AT&T (Bell) Labs - Research in New Jersey, USA, for around 5 years.
He is currently focusing on machine learning and statistical signal processing for wireless communications. His research topics in the past couple decades include machine learning for wireless signal detection and resource allocation, cognitive radios, cross-layer optimisation for spectrum- and energy-efficient wireless networks, OFDM and MIMO techniques for wireless systems, and blind signal processing. More about his research work can be found at his Google Scholar page.
Dr. Geoffrey Ye Li was awarded IEEE Fellow for his contributions to signal processing for wireless communications in 2005. He won several prestigious awards from IEEE Signal Processing Society (Donald G. Fink Overview Paper Award in 2017), IEEE Vehicular Technology Society (James Evans Avant Garde Award in 2013 and Jack Neubauer Memorial Award in 2014), and IEEE Communications Society (Stephen O. Rice Prize Paper Award in 2013, Award for Advances in Communication in 2017, and Edwin Howard Armstrong Achievement Award in 2019). He also received the 2015 Distinguished ECE Faculty Achievement Award from Georgia Tech. He has been recognised as the Highly-Cited Researcher by Thomson Reuters almost every year.
He has been involved in editorial activities of many technical journals, including the founding Editor-in-Chief of IEEE JSAC Special Series on Machine Learning in Communications and Networking. He has also organised and chaired many international conferences in IEEE ComSoc, SPS, and VTS.
Recruiting Information: Professor Geoffrey Ye Li is currently recruiting
- two post-doctoral research associates
- two PhD students with full scholarship
Open to home/EU and international students.
Please contact him by email at Geoffrey.Li@imperial.ac.uk for more information
et al., 2020, Deep Learning-Based End-to-End Wireless Communication Systems With Conditional GANs as Unknown Channels, IEEE Transactions on Wireless Communications, Vol:19, ISSN:1536-1276, Pages:3133-3143
et al., 2020, Deep-Learning-Based Wireless Resource Allocation With Application to Vehicular Networks, Proceedings of the IEEE, Vol:108, ISSN:0018-9219, Pages:341-356
et al., 2020, Model-Driven Deep Learning for MIMO Detection, IEEE Transactions on Signal Processing, Vol:68, ISSN:1053-587X, Pages:1702-1715
et al., 2019, Deep learning in physical layer communications, IEEE Wireless Communications, Vol:26, ISSN:1536-1284, Pages:93-99
Ye H, Li GY, Juang BH, 2018, Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems, Ieee Wireless Communications Letters, Vol:7, ISSN:2162-2337, Pages:114-117