Geoffrey Ye Li (Curriculum Vitae) is a Chair Professor at Imperial College London, UK.  Before joining Imperial in 2020, he was a Professor at Georgia Institute of Technology, USA, for 20 years and a Principal Technical Staff Member with AT&T Labs – Research (previous Bell Labs) in New Jersey, USA, for five years. He made fundamental contributions to orthogonal frequency division multiplexing for wireless communications, established a framework on resource cooperation in wireless networks, and introduced deep learning to communications. In these areas, he has published over 600 journal and conference papers in addition to over 40 granted patents. His publications have been cited over 62,000 times with an H-index of 115 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 was elected to IEEE Fellow and IET Fellow for his contributions to signal processing for wireless communications. He won 2024 IEEE Eric E. Sumner Award, 2019 IEEE ComSoc Edwin Howard Armstrong Achievement Award, and several awards from IEEE Signal Processing, Vehicular Technology, and Communications Societies.

Email: geoffrey.li@imperial.ac.uk
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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
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