Mohammed Sbihi

Mohammed Sbihi is a Research Professor at the Ecole Nationale de l'Aviation Civile (ENAC), affiliated with the OPTIM team within the MORO axis. He serves as Head of the Operational Research Masters program and focuses on mixed integer optimization, digital optimization, and robustness of machine learning algorithms for air traffic management applications.

• PhD in Mathematics from Université de Franche-Comté (2005)
• HDR (Habilitation) in Mathematics of Optimization and Operational Research

His research integrates mathematical optimization and machine learning to address air traffic control challenges, including trajectory prediction, runway scheduling, and uncertainty management. Recent work explores robust SVM in Banach spaces and Lipschitz constant estimation for ReLU networks.

Key publication trends span 2005–2025, covering air traffic optimization (2005–2025), robust machine learning (2022–2024), and industrial machining optimization (2016–2021). Collaborative projects involve co-authors like Daniel Delahaye, Marcel Mongeau, and Ji Ma.