Events

Date: 19 November 2025   Time: 11:00 - 12:00

Location: Queen's: LG4

Speaker: Professor Geoffrey Li

Title: Uncertainty Awareness in Wireless Sensing and Communications

Abstract: Uncertainties arise when our knowledge deviates from the underlying truth. In wireless communications and sensing, typical examples include channel estimation errors, array calibration imperfections, nonstationary signal characteristics, time-varying network topologies, to name a few. If not properly addressed, the performance of wireless systems may significantly degrade. In this talk, we explore two strategies to combat these uncertainties: 1) robust methods that are insensitive to uncertainties, and 2) adaptive methods that incorporate new information to reduce uncertainties. Specifically, first, we study the benefits of robust methods for waveform design, signal estimation, and beamforming problems in integrated sensing and communications. Second, we showcase the power of fast adaptation techniques for signal estimation in dynamic environments.

Bio: Geoffrey Ye Li (FREng, IEEE Fellow) is currently a Chair Professor at Imperial College London, UK. Before joining Imperial in 2020, he was with Georgia Tech and AT&T Labs – Research (previous AT&T Bell Labs) in USA for 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 introduced deep learning to 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 80,000 times with an H-index of 130. He has been listed as a Highly Cited Researcher by Clarivate/Web of Science almost every year. He won 2024 IEEE Eric E. Sumner Award and several awards from IEEE Signal Processing, Vehicular Technology, and Communications Societies, including 2019 IEEE ComSoc Edwin Howard Armstrong Achievement Award.