About
David Gesbert is a Professor at Eurecom in Sophia Antipolis, France. His research focuses on advanced wireless communication systems, including Massive MIMO, UAV networks, federated learning, and 6G technologies. He has contributed extensively to channel prediction, beamforming optimization, and machine learning applications in wireless networks. His work spans theoretical analysis and experimental validation, addressing challenges in aerial communication, energy efficiency, and network intelligence. Key areas include UAV-aided localization, cooperative satellite-RIS beamforming, and environment-aware communication frameworks.
Research interests emphasize wireless systems, signal processing, and machine learning integration. Notable projects include optimizing UAV trajectories for IoT networks, enhancing 5G connectivity for aerial highways, and developing efficient federated learning strategies for distributed networks. His contributions bridge theoretical advancements with practical implementations, particularly in dynamic environments and future communication architectures.
- Core Expertise: 5G/6G, Massive MIMO, UAV Networks, Federated Learning
- Key Projects: Channel quality prediction via ML, RIS-enabled beamforming, global channel charting
- Impact: Over 400 publications, with focus on scalability and real-world applicability
