Mike is doing research on algorithms in game AI and how to apply them to practical problems, in the games domain and beyond (e.g. engineering, chemical, social media computing). He is involved in pushing AI use into new areas of game research, as with Team AI (human/agent as well as agent/agent cooperation). He is a regular co-organizer of conferences as IEEE CoG (formerly CIG) and an associate editor of the IEEE Transactions on Games.

Matthias completed his Master's degree in Computer Science at LIACS. In his master's thesis, he examined the effectiveness of various AI methods, including Reinforcement Learning, Monte Carlo Tree Search, and Heuristics, in tackling the PvP board game Tetris Link. His passion for gaming continues to drive his PhD research on Transfer in Reinforcement Learning and Procedural Content Generation.

I moved to the Netherlands in 2014 to start my studies. Now researching the use of video games and gamification practices for education.

Researcher and designer, drawn to projects that involve multidisciplinary challenges and the potential to build connections between them. His research interests focus on the interplay between humans and interactive technology.

Alan is interested in transferring Artificial Intelligence techniques developed for solving games (Go, Chess, Grand Turismo, etc.) to the Chemistry domain. His main research interest lies in Computer-Aided Synthesis Planning (compare: ESR7 @ ai-dd.eu).

Hainan leverages video games and machine learning to gain knowledge about collaboration mechanisms and train people’s collaboration skills.