Mondou Damien

Damien Mondou is a contractual research teacher (ATER) at the University of La Rochelle, holding a PhD in Computer Science. He works in the intersection of interactive systems, adaptive content management, and formal modeling.

• Developed the CIT framework (based on timed automata) for interactive experience modeling
• Created software platforms: CELTIC (modeling editor) and EDAIN (AI-driven execution driver)
• Specializes in machine learning (Q-Learning), behavioral modeling, and supervisory systems

His research focuses on adaptive digital content, combining formal methods with reinforcement learning to enable dynamic re-scripting of interactive experiences. Key applications include serious games and museum robotics.

Recent publications address hybrid supervision approaches, remote scenario adaptation, and formal modeling of interactive systems using automaton networks.

Teaching experience includes logic programming (Prolog), constraint programming, software engineering, and advanced data structures across multiple universities and programs.