Quantum-AI Communication and Sensing Research Group
Advancing secure, adaptive, and intelligent communication and sensing by integrating quantum methods with modern AI and learning-based techniques.
Overview
Our research group investigates a broad range of topics centered on quantum technologies, intelligent sensing, and advanced AI-driven systems. Our work spans quantum information processing, quantum-enhanced sensing, learning-based optimization, neural-network architectures, and intelligent data analytics. We place particular emphasis on the joint design of communication, sensing, and learning frameworks that enable adaptive, secure, and resource-efficient operation in next-generation wireless and quantum-enabled networks. Through a combination of theoretical analysis, optimization techniques, and data-driven methodologies, our research aims to bridge fundamental principles with practical system-level implementations.
Prof. Khalid Qaraqe
Professor, College of Science and Engineering
Hamad Bin Khalifa University, Qatar
Hamad Bin Khalifa University, Qatar
Dr. Khalid A. Qaraqe is a Professor in the College of Science and Engineering at Hamad Bin Khalifa University (HBKU) in Doha, Qatar. He previously served as a Professor in the Department of Electrical and Computer Engineering at Texas A&M University at Qatar from 2004 to 2024. Dr. Qaraqe received his Ph.D. in Electrical Engineering from Texas A&M University, College Station, USA, his M.Sc. in Electrical Engineering from the University of Jordan, and his B.Sc. in Electrical Engineering from the University of Technology, Iraq. Before his academic career, he accumulated over 15 years of industry experience in the telecommunications sector, working in engineering, design, product development, testing, and integration. Dr. Qaraqe’s research spans Quantum-AI Communications and Sensing, wireless communications and networking, including mobile networks, broadband wireless access, cooperative networks, cognitive radio, diversity techniques, index modulation, reconfigurable intelligent surfaces (RIS), mmWave and THz systems, visible light communication (VLC), free-space optical (FSO) communications, AI and machine learning for wireless systems, and telehealth applications. He has been awarded competitive research grants totaling over USD 15 million, published 5 books, 20 book chapters, 5 U.S. patents, and hundreds of journal and conference papers in top venues.