معرفی
Mohamed-Lamine Messai is a Professor at Université Lyon 2, France, specializing in cybersecurity, IoT security, and networking. He teaches courses such as Computer Security, Hacking Labs, and Cryptography, and is actively involved in research projects like ROMANCE (knowledge graph modeling for organizational vulnerabilities) and GLADIS (graph-based intrusion detection). His work focuses on key management systems, resource-constrained networks, and AI-driven cybersecurity solutions.
He has supervised numerous PhD and master's students, including Abel Oroke, Floribert Katembo, and Sami Bettayeb. His research spans IoT security, blockchain applications, and graph neural networks for threat detection. He frequently presents at international conferences and workshops, including GRASEC, ARES, and IWCMC. Current projects include Federated Learning with Hybrid Encryption for APT detection and autonomous bio-inspired 5G deployment strategies.
- Key Projects: ROMANCE, GLADIS, CyberSecGraph, DATACAP
- Teaching: M1/M2 courses in Computer Security, IoT, Networking, and Distributed Computing
- Lab Affiliations: Involved in L3i lab activities and Open Days at the University of La Rochelle
