معرفی
David Gesbert serves as Professor and Director of EURECOM, a leading research institution in Sophia Antipolis, France, specializing in digital sciences. Previously heading the Communications Systems Department, he now directs EURECOM while leading the Foundations & Algorithms research group within the Communication Systems Department. His leadership spans institutional administration and cutting-edge research supervision.
Dr. Gesbert's research portfolio demonstrates exceptional depth across communications theory and wireless networking:
- Communication theory and information theory fundamentals
- Signal processing for wireless networks with emphasis on robustness
- Machine learning applications for decentralized network optimization
- Connected robotics and UAV-enabled flying radio access networks
- 6G wireless architecture with focus on AI integration
- Distributed decision making under information uncertainties
His publication trajectory reveals a strategic evolution from classical communication theory toward AI-integrated wireless systems, particularly focusing on UAV-aided networks and connected robotics for 6G. Recent work emphasizes learning-based approaches for network optimization under asymmetric information conditions, with growing emphasis on sustainability and green communications.
Dr. Gesbert's scientific recognition includes:
- Fellow of IEEE (2011) and Asia Pacific Artificial Intelligence Association (2021)
- Thomson-Reuters List of Highly Cited Researchers in Computer Science
- Multiple Best Paper Awards at IEEE conferences (EW 2017, ICC 2019)
- ERC Advanced Grant recipient for the PERFUME project on Smart Device Communications
- 3IA Chair funding for AI for future IoT Networks
- 2019 Winner of 'Fundamental research project of the year' by French SCS
He actively mentors PhD students and researchers, welcoming collaboration in his research domains. His group secures substantial research funding including ERC grants, 3IA Chairs, and participation in major European projects like the WINDMILL ITN Marie Curie project on Machine Learning in Wireless Communications. Dr. Gesbert serves on editorial boards and regularly delivers keynotes at premier international conferences, establishing himself as a thought leader in next-generation wireless communications.
