Geoffrey Ye Li is a Chair Professor with Imperial College London. His general research is in signal processing and machine learning for wireless communications. In the related areas, he has published over 600 articles with around 50,000 citations (with H-index of 100) and been listed as a Highly-Cited Researcher by Thomson Reuters. He has been an IEEE Fellow since 2006. He won IEEE ComSoc S. O. Rice Prize Paper Award, Award for Advances in Communication, and Edwin Howard Armstrong Achievement Award, IEEE VTS James Evans Avant Garde Award and Jack Neubauer Memorial Award, IEEE SPS Donald G. Fink Overview Paper Award, and Distinguished ECE Faculty Achievement Award from Georgia Tech.
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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).
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