Harnessing Real-World Data for AI-Driven Wireless Communication: Exploring Cutting-Edge Testbeds for Next-Gen Solution

Overview

Abstract

In the quest for next-generation wireless technologies, real-world data collection has become indispensable for driving AI-based advancements, yet it poses significant challenges requiring practical deployment. This keynote explores pioneering strategies to bridge the gap between theoretical innovation and practical application. We will showcase our custom-built testbeds and advanced facilities, demonstrating how they fuel the development of learning-based algorithms to address critical challenges in wireless systems. Attendees will gain insight into how theoretical research evolves into practical advancements, offering hands-on experience with cutting-edge wireless technologies for those eager to shape the future of wireless communication.

Brief Biography

Ahmed Nasser (Member, IEEE) received the M.Sc. degree in electronics and communications engineering from the Egypt-Japan University of Science and Technology (E-JUST), New Borg El Arab, Egypt, in 2016, and the double Ph.D. degree from Kyushu University, Fukuoka, Japan, and E-JUST, Egypt, in2020. He is currently a postdoctoral fellow at king Abdullah University of science and technology (KAUST), Saudi Arabia at the Communications and Computing Systems Laboratory (CCSL). Ahmed is also a lecturer at faculty of Engineering, Suez Canal University, Egypt. His research interests include ISAC, RIS application, NOMA, mMIMO channel estimation, interference alignment, digital signal processing, and emerging technologies for 6G wireless networks.