Daniel Kudenko


Professor at the Saint Petersburg National Academic Research University of the Russian Academy of Science and member of the Artificial Intelligence Group at the University of York, UK.

Prof. Kudenko received a Masters in Computer Science from the University of the Saarland, Germany and a PhD in Machine Learning from Rutgers University, USA. His research is focused around machine learning (specifically reinforcement learning), AI for interactive entertainment, user modelling, and human-AI interaction, and he has published over 100 peer-reviewed papers in various areas of artificial intelligence and co-edited three books published by Springer.

Prof. Kudenko was a member of the management committee of AgentLink II, the European Network of Excellence on Agent Computing, and coordinator of the inter-network SIG on “Agents that Learn, Adapt, and Discover” (AgentLink II , ILPNet, EUnite). He has been a principal and co-investigator on a number projects funded by EPSRC, InnovateUK, and DSTL, and has a strong record in knowledge transfer and collaboration with industry, having worked on many projects with industrial partners, including QinetiQ, Eidos, and Mood International. Prof. Kudenko has been serving on program committees and senior program committees of numerous conferences, including AAMAS, AAAI, ECAI, and ICML.

To date, 16 PhD students have graduated under his supervision.