Michael Rovatsos is a Lecturer in the School of Informatics and leader of the Agents Research Group. He received his PhD in Informatics from the Technical University of Munich in 2004, and his track record includes over 50 papers in the area of multi-agent systems with over 400 citations, and involvement in the programme committees of over 50 scientific events. His research is in multi-agent systems with a particular focus on automating methods for reasoning about interaction among intelligent agents. Recent work has focused on scaling up knowledge-based methods for conflict resolution in complex multi-agent planning domains, where he has developed methods for argumentation-based methods for reaching agreement among planning agents, methods for automated norm synthesis, and strategic multi-agent planning methods. In all of these contributions, the resulting methods have massively improved scalability compared to competing approaches. He has been involved in several externally funded knowledge transfer and consultancy projects and has collaborated with several internationally leading AI groups (Melbourne, Harvard, Aachen, Prague, Barcelona).