Geoffrey Ye Li (FREng, DSc, Curriculum Vitae) , with a DSc from Imperial College London (ICL), is a Chair Professor at ICL. Before joining ICL in 2020, he was with Georgia Tech and AT&T Labs – Research (previous Bell Labs) for about 25 years in total. He made fundamental contributions to orthogonal frequency division multiplexing (OFDM) for wireless communications, established a framework on resource cooperation in wireless networks, and pioneered deep learning for communications. In these areas, he has published over 700 journal and conference papers in addition to over 40 granted patents. His publications have been cited over 85,000 times with an H-index over 130 according to Google Scholar. He has been listed as a Highly Cited Researcher by Clarivate/Web of Science almost every year.
Dr. Geoffrey Ye Li received 2024 IEEE Eric E. Sumner Award, 2019 IEEE ComSoc Edwin Howard Armstrong Achievement Award, and several other awards from IEEE Signal Processing, Vehicular Technology, and Communications Societies. He was elected to Fellow of the Royal Academic of Engineering (FREng), IEEE Fellow, and IET Fellow for his contributions to signal processing for wireless communications.
Email: geoffrey.li@imperial.ac.uk
Related Links: Homepage, Google Scholar, IEEE Xplore Author
Lab co-director
Dr. Wei Dai is currently a Senior Lecturer in the Electrical and Electronic Engineering Department at Imperial College London. He received his Ph.D. degree in Electrical and Computer Engineering from the University of Colorado at Boulder in 2007. From 2007 to 2010, he was a Postdoctoral Research Associate in the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign. His main research interests include sparse signal processing, signal processing for machine learning, linear inverse problems, bilinear/multilinear inverse problems, wireless communications, random matrix theory, and their applications in sensing and localization.
Dr. Dai was involved in the development of the first compressive sensing DNA microarray prototype. One of his publications in 2009 on compressive sensing reconstruction has been cited more than 2000 times up to now (according to Google scholar).
Email: wei.dai1@imperial.ac.uk
Related Link: Homepage
Location
Imperial College London
Faculty of Engineering
South Kensington Campus
London SW7 2AZ, UK
White City Campus
London W12 7TA, UK