معرفی
Prof. Hassine Moungla is a Lecturer at Telecom SudParis, associated with the SAMOVAR research institute and the NeSS group. His research focuses on wireless networks, edge computing, reinforcement learning, IoT systems, vehicular networks, and machine learning applications in network optimization. He has contributed to over 50 publications since 2004, addressing topics such as UAV-assisted networks, intelligent reflecting surfaces (IRS), and blockchain-based network slicing.
- Education: PhD in Computer Science (focus on network management and policy-based systems).
- Key Research Themes: Edge computing architectures, reinforcement learning for network optimization, IoT mobility management, and vehicular networks.
His work often intersects with industry challenges in 5G/6G, smart cities, and autonomous systems. Notable projects include optimizing UAV deployment using deep learning and developing anomaly detection mechanisms for mobile networks.
Grants & Collaborations: Active in EU-funded projects on edge computing and has collaborated with institutions like INRIA and the University of Paris-Saclay.
