Dear Colleague,

On behalf of the IEEE Sweden VT/COM/IT Chapter in collaboration with Chalmers University of Technology, we would like to invite you to the following IEEE Technical online seminar by Assistant Professor Ahmed Alkhateeb, Arizona State University, USA.

Title: From Multimodal Sensing to Digital Twin-Assisted Communications

Time: 14:00-15:00 CEST Fri Apr 26, 2024

Online Zoom: https://chalmers.zoom.us/j/65344855655?from=addon Password: 513448 (alternative connections below)

Local host: Prof. Henk Wymeersch, Chalmers University of Technology, Gothenburg, Sweden, henkw@chalmers.se.

Abstract: Wireless communication systems are transitioning to higher frequency bands, including mmWave in 5G and above 100GHz in 6G and beyond, and deploying large antenna arrays at the infrastructure and mobile users via massive MIMO, mmWave/terahertz MIMO, reconfigurable intelligent surfaces, etc. While the transition to higher frequency bands and the use of large antenna arrays help satisfy the increasing demand for data rates, they also introduce new challenges. These challenges make it hard for these systems to support mobility and maintain high reliability and low latency. In this talk, I will first motivate the use of multi-modal sensory data and machine learning to address these challenges. Then, I will present a vision in which precise 3D maps, multi-modal sensing, real-time ray-tracing, and machine learning are integrated to construct real-time digital twins of the communication environments and comprehensively assist all layers of the communication systems. I will discuss some of the open questions to realize this vision, present a research platform for investigating the digital twin problems, and highlight some initial results.

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 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 Assistant 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 systems. 

Welcome!

Best regards,
Tommy Svensson, IEEE VT/COM/IT Sweden Chapter

==

Or iPhone one-tap :
Sweden: +46850163827,,65344855655# or +46850500828,,65344855655# 
Or Telephone:
If you have problems with +46 7 6692 0434 in Sweden please dial +46 8 4468 2488 instead.
Dial(for higher quality, dial a number based on your current location): 
Sweden: +46 8 5016 3827 or +46 8 5050 0828 or +46 8 5050 0829 or +46 8 5052 0017 or +46 850 539 728 or +46 8 4468 2488 
Meeting ID: 653 4485 5655
Password: 513448
International numbers available: https://chalmers.zoom.us/u/ccnmkdOiiA

Or an H.323/SIP room system:
H.323: 109.105.112.236 or 109.105.112.235
Meeting ID: 653 4485 5655
Password: 513448

SIP: 65344855655@109.105.112.236 or 65344855655@109.105.112.235
Password: 513448