Chu Min LI

Chu Min LI is a University Professor at the University of Picardy Jules Verne (UPJV), working in the Modélisation, Information et Systèmes (MIS) laboratory (UR UPJV 4290). Their research focuses on Optimization, Cryptography, and Artificial Intelligence, with particular expertise in MaxSAT (Maximum Satisfiability), Constraint Programming, and Combinatorial Optimization.

Professor LI's research spans theoretical and applied computational problem solving. Key research areas include:

• MaxSAT and MinSAT solving techniques
• Constraint programming and satisfaction
• Combinatorial optimization algorithms
• Geometric packing problems
• AI-driven optimization methods
• Theoretical foundations of satisfiability

Analysis of Professor LI's publications from 2023-2025 reveals a strong focus on advancing MaxSAT solving techniques with diverse applications including conference scheduling, assembly line balancing, and geometric packing problems. Their work consistently bridges theoretical insights with practical algorithmic improvements, demonstrating both depth in theoretical understanding and relevance to real-world problems across multiple domains.

Professor LI has received significant recognition for their contributions, including a Best Paper Award at CP 2021 (27th International Conference on Principles and Practice of Constraint Programming).

Professor LI leads substantial research projects including 'BforSAT' (Branching for SAT and beyond) and 'Massal'IA' (Propositional reasoning for large-scale optimization), indicating significant research funding and leadership. Their extensive collaborative network includes researchers such as Felip Manyà, Kun He, Jiongzhi Zheng, and Sami Cherif, suggesting an active research group and international connections.