DUPUIS Yohan

DUPUIS Yohan is a Research Director at CESI, leading the Engineering and Numerical Tools research team. His work focuses on perception and mapping for cyber-physical systems, intelligent robotics, and transportation systems. He holds an HDR from the University of Rouen Normandy (2019) and a PhD in Electrical Engineering (2012). He coordinates major national projects including the France 2030 CAIRE project (AI sector), ASTRID Robotics SCOPES, and Battery School initiatives.

Education includes an Engineering Diploma from ESIGELEC (2009), MSc in Electrical Engineering from Union Graduate College (USA), and a PhD focused on omnidirectional vision for biometrics. His research spans semantic mapping, autonomous systems, and sensor fusion with applications in smart cities, industrial automation, and maritime networks.

Key research interests include:

• Multi-agent cooperative perception
• SLAM algorithms for low-texture environments
• Autonomous vehicle localization
• Human-robot interaction in industrial contexts
• LiDAR and radar sensor systems

He advises 8 active PhD students working on topics like human-robot affordance modeling, object pose estimation, and mobility prediction in smart cities. Notable contributions include the SynWoodScape autonomous driving dataset and innovative digital twin methodologies for industrial workstations.

Led projects include:

• France 2030 CAIRE project (AI sector coordination)
• ASTRID Robotics SCOPES (2022-2025)
• Battery School initiative (2022-2027)
• ConfluenceS Excellence program (2024-2032)

His publications span over 50 peer-reviewed articles, with recent focus on multimodal perception systems and AI-driven urban mobility solutions.