معرفی
Dr. Fatma Benkhelifa is a Lecturer in Telecommunications at Queen Mary University of London (QMUL) and a Honorary Research Fellow at Imperial College London. She specializes in wireless communication systems, 5G/6G networks, IoT, energy harvesting, and physical-layer security. Her research integrates mathematical modeling, stochastic geometry, and machine learning to optimize resource management and network performance. Dr. Benkhelifa holds a PhD in Electrical Engineering from KAUST (2017), an MSc from KAUST (2013), and a Polytechnician Engineering Diploma from Ecole Polytechnique de Tunisie (2011).
Her work focuses on advancing low-power wide-area networks (LPWAN), LoRa systems, and secure communication protocols. She has contributed to spatiotemporal modeling, reinforcement learning applications, and energy sustainability in IoT. Dr. Benkhelifa serves as an Associate Editor for IEEE Communications Letters and Frontiers in Communications and Networks, and is a Technical Committee member for IEEE ICC, GLOBECOM, and WCNC conferences.
Recent research highlights include analyzing LoRa network scalability under imperfect spreading factor orthogonality, developing energy-harvesting frameworks for self-sustainable IoT, and investigating security protocols for non-terrestrial FSO links. Her grants include projects on 6G physical-layer security and wireless-powered LoRa monitoring in nuclear environments.
Dr. Benkhelifa supervises PhD students in Electronic Engineering and Computer Science, emphasizing self-motivated candidates with strong backgrounds in wireless communications and mathematical skills. She actively promotes international scholarships for students from China and Pakistan.
