Kristian Kersting

Kristian Kersting (born November 28, 1973 in Cuxhaven, Germany)[1] is a German computer scientist. He is professor of artificial intelligence and machine learning at the department of computer science of the Technische Universität Darmstadt, Germany and heads the Artificial Intelligence and Machine Learning Lab (AIML).

Kristian Kersting
BornNovember 28, 1973
NationalityGerman
Alma materUniversity of Freiburg
Scientific career
FieldsArtificial intelligence
InstitutionsTechnische Universität Darmstadt
Doctoral advisorLuc De Raedt

He is known for his research on statistical relational artificial intelligence, probabilistic programming, and deep probabilistic learning.

Life

Kersting studied computer science at the University of Freiburg, where he received his Ph.D. in 2006. At the university he attended a course on artificial intelligence given by Bernhard Nebel and became interested in the topic.[2] He was a visiting postdoctoral researcher at the Katholieke Universiteit Leuven and a postdoctoral associate at the Massachusetts Institute of Technology (MIT). His advisor at MIT was Leslie Pack Kaelbling.[1] From 2008 to 2012, he led a research group at the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS. He then became a Juniorprofessor at the University of Bonn and associate Professor at the computer science department of the Technical University of Dortmund. From 2017 to 2019, he was professor of machine Learning and since 2019 professor of artificial intelligence and machine learning at the department of computer science of the Technische Universität Darmstadt.[3]

He is also a researcher at ATHENE, the largest research institute for IT security in Europe.[4]

Awards

In 2006, he received the AI Dissertation Award of the European Association for Artificial Intelligence.[5] In 2008, he received the Fraunhofer Attract research grant with a budget of 2.5 million euros over five years.[6] He was appointed Fellow of the European Association for Artificial Intelligence (EurAI) and Fellow of the European Laboratory for Learning and Intelligent Systems (ELLIS) in 2019.[3][7][8] In 2019 he received the "Deutscher KI-Preis" ("German AI Award"), endowed with 100,000 euros, for his outstanding scientific achievements in the field of artificial intelligence.[9][10]

Publications

  • De Raedt L., Kersting K. (2008) Probabilistic Inductive Logic Programming. In: De Raedt L., Frasconi P., Kersting K., Muggleton S. (eds) Probabilistic Inductive Logic Programming. Lecture Notes in Computer Science, vol 4911. Springer, Berlin, Heidelberg. ISBN 978-3-540-78651-1
  • Luc De Raedt, Kristian Kersting, Sriraam Natarajan and David Poole, "Statistical Relational Artificial Intelligence: Logic, Probability, and Computation", Synthesis Lectures on Artificial Intelligence and Machine Learning" Morgan & Claypool, March 2016 ISBN 9781627058414.

References

  1. Curriculum vitae of Kristian Kersting from his time at MIT
  2. Neumann, Marion (October 2018). McGovern, Amy (ed.). "AI profiles: an interview with Kristian Kersting". AI Matters. ACM New York, NY, USA. 4 (3): 19–21. doi:10.1145/3284751.3284758. eISSN 2372-3483. S2CID 53039329.
  3. "Kristian Kersting". ml-research.github.io. Retrieved 2019-10-28.
  4. "Participants". CRISP. Retrieved 2019-10-28.
  5. "2006 AI Dissertation Award | European Association for Artificial Intelligence". www.eurai.org. Retrieved 2019-10-28.
  6. "Fraunhofer Attract". Fraunhofer-Gesellschaft. Retrieved 2019-10-28.
  7. "Kristian Kersting zum Fellow der EurAI ernannt - PLS". www.plattform-lernende-systeme.de. Retrieved 2019-10-28.
  8. "Fellows | European Association for Artificial Intelligence". www.eurai.org. Retrieved 2019-10-28.
  9. BILANZ-Redaktion (2019-09-26). "1. Deutscher KI-Preis: BILANZ zeichnet die Zukunft der Künstlichen Intelligenz aus". Retrieved 2020-01-17.
  10. "Machine Learning Lab von Kristian Kersting erhält Deutschen KI-Preis - PLS". www.plattform-lernende-systeme.de. Retrieved 2020-01-17.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.