Jean-Charles Régin

Jean-Charles Régin is a full Professor at Université Côte d'Azur, affiliated with the I3S Laboratory, where he leads the Constraints and Applications (C&A) research team. His work is central to the 3IA Côte d’Azur initiative, focusing on Decision Intelligence and explainable AI under real-world constraints.

His research interests include:

• Constraint Programming (CP)
• Global Constraints and Efficient Algorithms
• Multi-valued Decision Diagrams (MDD)
• Parallel and Distributed Constraint Programming
• Statistical Constraints (Sampling, Markov Chains, Spread, Deviation)
• Modeling and Solving Real-World Problems (Bin Packing, TSP, Car Sequencing)
• Over-Constrained and Multi-Objective Optimization

Régin is renowned for his theoretical and practical contributions to Constraint Programming. His work shows a consistent trend in enhancing the scalability and expressiveness of CP systems, integrating machine learning-inspired methods, and applying CP to industrial problems. He has pioneered algorithms such as the one for the alldifferent constraint, widely used in CP solvers.

His scientific recognition includes:

• Research Excellence Award, Association for Constraint Programming (ACP), 2013

Jean-Charles Régin leads the C&A team at I3S and contributes to the 3IA Côte d’Azur chair on Decision Intelligence. He has advised numerous researchers and students in the field, though specific names are not listed in the provided text. His work often involves interdisciplinary collaboration and the development of practical tools for optimization under uncertainty.

The C&A team under his leadership focuses on advancing constraint-based reasoning, explainable decision-making, and integration with data-driven methods to solve complex industrial and societal challenges.