I lecture at the Institute of Informatics, Faculty of Mathematics, Informatics, & Mechanics, University of Warsaw. From June 2012 to May 2017, I was also a part-time Post-Doctoral Researcher at the Department of Computer Science, University of Oxford, UK. My research interest focus on
the interface of Computer Science (Artificial Intelligence and Multi-Agent Systems, in particular),
Game Theory, and
Economics, an area often called Algorithmic Game Theory.
Recently, I have been especially interested in game theoretic approaches to network
analysis, data analysis, machine learning and big data applications, including fintech (if you are a student at MIMUW please see my new course on Fintech starting in Fall 2017).
My research interests include:
1. Social network analysis. :
- game-theoretic centrality - a novel approach of measuring importance of nodes in networks
- games on networks, the Myerson graph-restricted games and the Myerson value
- network formation, community detection, social capital, etc.
2. Coalition formation, multi-agent systems & artificial intelligence:
- payoff division, especially the Shapley Value, the Banzhaf index, and their various extensions and generalizations
- coalition structure generation - see our recent review in the AIJ
- coalition games with externalities
- compact representations of coalitional games
- agent-based modelling
- applications of game theory in artificial intelligence
3. Auctions and markets
- spitefulness and altruism in auctions
- combinatorial auctions
- market-based control techniques applied to machine learning
4. Applications of machine learning and big data