Mohsen Ghaffari

Mohsen Ghaffari is a postdoctoral researcher in Computer Science at the IT University of Copenhagen, Denmark, affiliated with the Digital Research Center Denmark (DIREC). His research focuses on decision-making under uncertainty in multi-agent systems, leveraging software analysis to enhance the reliability and safety of reinforcement learning. He holds a PhD in Computer Science and is a supervisor at the Institute for Advanced Studies in Basic Sciences, Zanjan.

• Research Areas: Reinforcement Learning, Multi-Agent Systems, Game Theory, Smart Grids, Formal Methods
• External Roles: Teaching Assistant for Advanced Programming
• Projects: Co-Investigator on DIREC initiatives focusing on AI safety and autonomous systems.

His work emphasizes theoretical foundations and practical applications of reinforcement learning, including formal specification frameworks and real-world implementations like epidemic modeling and smart grid optimization.