Janusz Meylahn

Janusz Meylahn is an Assistant Professor at the Digital Society Institute and Mathematics of Operations Research, with expertise in Artificial Intelligence, Reinforcement Learning, and Complex Systems. His work bridges computational intelligence with economic and social dynamics, focusing on algorithmic collusion, cooperative behavior, and synchronization phenomena.

• Key research areas: AI, Game Theory, Social Reinforcement Learning, Kuramoto Modeling
• Contributes to UN Sustainable Development Goals (SDGs) in AI ethics and environmental impact

His collaborations span neuroscience, economics, and computational modeling, analyzing systems from market behaviors to aging circadian clocks. Recent outputs explore metastable polarisation and multi-agent collusion in pricing games. No formal awards or students are documented in the current records.