Dr. Daniel Kudenko

Research Group Leader

Dr. Daniel Kudenko

Research Group Leader

Daniel Kudenko is a Research Group Leader at L3S Research Center.

Research Focus
  • machine learning (specifically reinforcement learning)
  • AI for interactive entertainment
  • user modelling
  • human-AI interaction
Publications

For a list of Daniel Kudenko’s publications, please visit his Google Scholar page.

Curriculum Vitae
  • Research Group Leader, L3S Research Center, University of Hannover, Germany, 2019-present.
  • Professor, National Research Academic University of the Russian Academy of Science, St Petersburg, Russia, 2017-2018.
  • Head of Group, Agent Systems and Reinforcement Learning Group, JetBrains Research, St Petersburg, Russia, 2017-2019.
  • Lecturer, Artificial Intelligence Group, Department of Computer Science, University of York, 1998 โ€“ 2019.
  • Project Consultant, QinetiQ, Adaptive Agents for Agile Teamwork Project, 2003-2006.
  • AI Consultant, Core Design Studio, Eidos, 2005-2006.
  • Knowledge Transfer Champion, Yorkshire Forward, 2006-2009.
  • Research/Teaching Assistant, Rutgers University, 1993-1998.

1993-1998: Graduate study in computer science at Rutgers University, New Jersey. Degree: Ph.D.

1987-1993: Undergraduate and graduate study in computer science at Saarland University, Germany. Degree: Diplom Informatiker.

Current projects at L3S

DAISEC

DAISEC

The European Digital Innovation Hub for AI and Cybersecurity (DAISEC) supports companies from the production, mobility and skilled crafts sectors as well as the public sector in the application and development of Artificial Intelligence and Cybersecurity.
Digispecies

Digispecies

Other projects
Digispecies aims to digitize records of plant and animal species occurrence to document the extent of biodiversity loss.
5GAPS

5GAPS

Knowledge Graphs and Data Integration | Business & Society
5GAPS is a platform for real-time multi-attribute space capture and multi-dimensional object positioning aiming to digitally recreate Hanover in real-time