Tracking wireless users by training a neural network to associate 5G signals with their position captured by RGB/Depth cameras will overcome limitations of 5G technology.
Ahmed Alkhateeb received his bachelor’s degree (with distinction and honors) and master’s degree in electrical engineering from Cairo University, Egypt, in 2008 and 2012, and his doctorate in electrical engineering from the University of Texas at Austin in August 2016, under the supervision of Professor Robert W. Heath. From Sept. 2016 to Dec. 2017, he was a wireless communications researcher at the Connectivity Lab, Facebook, in Menlo Park, CA. He joined Arizona State University (ASU) in Spring 2018, where he is currently an assistant professor in the School of Electrical, Computer and Energy Engineering. He has held research and development internships at FutureWei Technologies (Huawei) in Chicago, IL, and Samsung Research America (SRA) in Dallas, TX. His research interests are in the broad areas of wireless communications, communication theory, signal processing, machine learning, and applied math. Alkhateeb is the recipient of the 2012 MCD Fellowship from the University of Texas at Austin and 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.
Total projects: 1