معرفی
Hayssam Dahrouj is a Professor in the Department of Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST), where he leads research in wireless communications and next-generation networks. His work spans satellite communications, 5G/6G technologies, machine learning applications in communications, and integrated space-air-ground networking systems. He directs research at KAUST's Center of Excellence for NEOM Research, focusing on cutting-edge communication solutions for future smart cities and infrastructure.
Dr. Dahrouj earned his PhD in 2010 from the University of Toronto's Department of Electrical and Computer Engineering. His research interests encompass Wireless Communications, Satellite Networks, Machine Learning for Communications, 5G/6G Networks, Non-Orthogonal Multiple Access, Cloud Radio Access Networks, and Terrestrial-Aerial Integrated Networks. His work bridges theoretical analysis with practical implementation, addressing real-world challenges in next-generation communication systems.
Analysis of Dr. Dahrouj's recent publications reveals a strong focus on integrated communication architectures combining satellite, aerial, and terrestrial networks. His research increasingly incorporates machine learning techniques for network optimization, with growing emphasis on equitable resource allocation, extended reality applications, and energy-efficient network design. The interdisciplinary nature of his work spans communications theory, signal processing, and AI applications.
Dr. Dahrouj maintains an extensive collaborative network with researchers across KAUST and internationally. He has supervised numerous graduate students and postdoctoral researchers, though specific names are not documented in the available information. His research has been supported by various grants focused on next-generation communication systems and smart infrastructure development.
His laboratory at KAUST focuses on wireless communications systems, with particular emphasis on integrated space-air-ground networks, machine learning for communications, and next-generation network architectures. Current projects include satellite-terrestrial integration, NOMA systems, and edge computing applications for extended reality services.
