Dr. Daniel Kudenko

Forschungsgruppenleiter

Dr. Daniel Kudenko

Forschungsgruppenleiter

Forschungsschwerpunkte
  • Maschinelles Lernen (insbesondere Reinforcement Learning)
  • KI für interaktive Unterhaltung
  • Benutzer-Modellierung
  • Interaktion zwischen Mensch und KI 
Publikationen
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 – 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.

Laufende Projekte am L3S

SisWiss

SisWiss

Im SisWiss Projekt sollen die Entwicklung von theoretischen Ansätzen zur Zertifizierung eines LLMs mit konkreten Sicherheitstests kombiniert werden.
DAISEC logo

DAISEC (European Digital Innovation Hub for AI and Cybersecurity)

The DAISEC supports companies from the production, mobility and skilled crafts sectors as well as the public sector in the application and development of AI and cybersecurity technologies.