Dear CSIM Members,

It is my pleasure to announce that Dr. Ahmed Alkhateeb was our speaker at CSIM Online Seminars on March 21st 2022, at 13:30 EDT.

Please find below content information of this most interesting seminar.

Best regards,

Nizar Zorba,

CSIM chair

Speaker: Dr. Ahmed Alkhateeb

Assistant Professor | Arizona State University, USA.

Seminar Title: Machine Learning Aided 6G: Leveraging Sensory Data for Highly-Mobile and Reliable Communication Systems

Content (Video recording): Please find the seminar recording at

Brief Abstract: Millimeter-wave (mmWave) and terahertz (THz) MIMO are key enabling technologies for 5G, 6G, and beyond. The communication over these frequency bands, however, is subject to critical challenges, such as the large training overhead associated with adjusting the narrow beams and the high sensitivity to blockages. These challenges make it difficult for mmWave/THz MIMO systems to support applications like virtual/augmented reality and vehicular communications that have high mobility and strict reliability constraints. In this talk, I will first motivate the use of sensory data and machine learning to address these challenges. Then, I will present DeepSense 6G, a large-scale real-world multi-modal sensing and communication dataset that enables the research in a wide range of sensing and communication applications. After that, I will go over a few machine learning tasks enabled by the dataset such as camera, radar, LiDAR, and position aided beam and blockage prediction. Finally, I will discuss some future research directions in this interesting topic of sensing-aided wireless communication.

Short 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 Spring 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.