Meeting Link: https://ulaval.zoom.us/j/65778451409?pwd=B1j19PbbWPhyXWjxkTf9PjOfIekUCY.1, Québec City, Quebec, Canada, G1X 4C5

Zoom Link: <a href="https://ulaval.zoom.us/j/65778451409?pwd=B1j19PbbWPhyXWjxkTf9PjOfIekUCY.1Talk Abstract:Digital twins of the wireless environments offer new capabilities to the communication network design and operation. They could be utilized offline to build site-specific datasets for pre-training and evaluation machine learning models, or online to provide real-time or near real-time priors that aid the various communication system decisions on precoding, channel estimation, spectrum sharing, resource allocation, among many interesting applications. In this talk, I will present key aspects and considerations for modeling, building, calibrating, and utilizing these digital twins to maximize their gains while balancing constraints on cost, latency, and computational overhead. I will also introduce DeepVerse 6G, the world’s first large-scale digital-twin research platform, which provides high-fidelity multi-modal sensing and communication “true” digital twin datasets to accelerate research and development across a wide range of <a href="http://applications.Speaker" target="_blank" title="applications.Speaker">applications.Speaker Biography:Ahmed Alkhateeb received his B.S. and M.S. degrees in Electrical Engineering from Cairo University, Egypt, in 2008 and 2012, and his Ph.D. degree in Electrical and Computer Engineering from The University of Texas at Austin, USA, in 2016. After the Ph.D., he spent some time as a Wireless Communications Researcher at the Connectivity Lab, Facebook, before joining Arizona State University (ASU) in the Spring of 2018, where he is currently an Associate Professor in the School of Electrical, Computer, and Energy Engineering. His research interests are in the broad areas of wireless communications, signal processing, machine learning, and applied math. Dr. Alkhateeb is the recipient of the 2012 MCD Fellowship from The University of Texas at Austin, the 2016 IEEE Signal Processing Society Young Author Best Paper Award for his work on hybrid precoding and channel estimation in millimeter-wave communication systems, and the NSF CAREER Award 2021 to support his research on leveraging machine learning for large-scale MIMO <a href="http://systems.Meeting" target="_blank" title="systems.Meeting">systems.Meeting Link: https://ulaval.zoom.us/j/65778451409?pwd=B1j19PbbWPhyXWjxkTf9PjOfIekUCY.1, Québec City, Quebec, Canada, G1X 4C5