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Klaus-Robert Müller

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Klaus-Robert Müller
Born (1964-12-29) 29 December 1964 (age 59)
Alma mater
Known for
Scientific career
ThesisSpärlich verbundene neuronale Netze und ihre Anwendung (Sparse neural networks and their application) (1992)
Academic advisors

Klaus-Robert Müller (born 1964 in Karlsruhe, West Germany) is a German computer scientist and physicist, most noted for his work in machine learning and brain–computer interfaces.


Klaus-Robert Müller received his Diplom in mathematical physics and PhD in theoretical computer science from the University of Karlsruhe. Following his Ph.D. he went to Berlin as a postdoctoral fellow at GMD (German National Research Center for Computer Science) Berlin (now part of Fraunhofer Institute for Open Communication Systems), where he started building up the Intelligent Data Analysis (IDA) group.[2]

From 1994 to 1995 he was a research fellow at Shun'ichi Amari's lab at the University of Tokyo.

1999 Müller became an associate professor for neuroinformatics at the University of Potsdam, transitioning to the full professorship for Neural Networks and Time Series Analysis in 2003. Since 2006 he holds the chair for Machine Learning at the Technical University Berlin.

Since 2012 he holds a distinguished professorship at Korea University in Seoul. He co-founded and is co-director of the Berlin Big Data Center (BBDC) of the Technical University Berlin.

As of 2017, 29 former doctoral or postdoctoral researchers of Klaus-Robert Müller have become full professors themselves. Bernhard Schölkopf and Alexander J. Smola were supervised by him as members of his research group.[3]

Since 2020 he is director of the Berlin Institute for the Foundations of Learning and Data (BIFOLD),[4] a German National AI Competence Center,[5] and director of the European Laboratory for Learning and Intelligent Systems (ELLIS) unit Berlin.[6]

In 2020/2021 he spent his sabbatical at Google Brain as a Principal Scientist.[7]


Müller has contributed extensively to several major interests of machine learning, including support vector machines (SVMs) and kernel methods, and artificial neural networks.[1] He pioneered applying new methods of pattern recognition in domains like brain–computer interfaces, using them for patients with Locked-in syndrome. He is one of the leading computer scientists affiliated with Germany.[8]

His current research interests include:[9]

Honours and awards[edit]

Klaus-Robert Müller was elected a fellow of the German National Academy of Sciences Leopoldina in 2012.[10] In 2017 he was elected member of the Berlin-Brandenburg Academy of Sciences and Humanities[11] and also external scientific member of the Max Planck Society.[12] In 2021 he was elected member of the German Academy of Science and Engineering.[13]

His work was honoured with several awards, including:


  • with Holzinger, Andreas; et al., eds. (2022). xxAI – Beyond Explainable Artificial Intelligence. Lecture Notes in Computer Science. Vol. 13200. Springer Cham. doi:10.1007/978-3-031-04083-2. ISBN 978-3-031-04082-5.
  • with Schütt, Kristof T.; et al., eds. (2020). Machine Learning Meets Quantum Physics. Lecture Notes in Physics. Vol. 968. Springer Cham. doi:10.1007/978-3-030-40245-7. ISBN 978-3-030-40244-0. S2CID 242406994.
  • with Samek, Wojciech; et al., eds. (2019). Explainable AI: Interpreting, Explaining and Visualizing Deep Learning. Lecture Notes in Computer Science. Vol. 11700. Springer Cham. doi:10.1007/978-3-030-28954-6. ISBN 978-3-030-28953-9.
  • with Montavon, Grégoire; et al., eds. (2012). Neural Networks: Tricks of the Trade. Lecture Notes in Computer Science. Vol. 7700 (2nd ed.). Springer Berlin, Heidelberg. doi:10.1007/978-3-642-35289-8. ISBN 978-3-642-35288-1. S2CID 39578794.


  1. ^ a b Klaus-Robert Müller publications indexed by Google Scholar
  2. ^ Chris Bockman (29 May 2019). AI FOR GOOD 2019 INTERVIEWS: Klaus-Robert Müller, Head of Intelligent Data Analysis group, TU Berlin. Youtube. Geneve: 2019 AI for Good Global Summit - International Telecommunication Union.
  3. ^ "Der Maschinenlehrer" (in German). brand eins. Retrieved 27 November 2020.
  4. ^ "Official announcement of BIFOLD in Berlin". Technical University Berlin. Archived from the original on 12 October 2020. Retrieved 22 September 2020.
  5. ^ "Milestone for AI Research in Berlin" (in German). TU Berlin. Retrieved 30 July 2021.
  6. ^ "ELLIS unit Berlin". ellis.eu. Retrieved 22 September 2020.
  7. ^ "Klaus-Robert Müller". Google Brain. Retrieved 8 April 2021.
  8. ^ "Ranking for Computer Science in Germany". Guide 2 Research. Retrieved 1 April 2021.
  9. ^ "Profile and resumé of Klaus-Robert Müller". BIFOLD. Archived from the original on 15 April 2021. Retrieved 27 April 2021.
  10. ^ "List of Members". Leopoldina. Retrieved 12 October 2020.
  11. ^ "Klaus-Robert Müller". Berlin-Brandenburg Academy of Sciences and Humanities. Retrieved 20 November 2020.
  12. ^ "Scientific Members of MPG". Max Planck Society. Retrieved 27 November 2020.
  13. ^ "acatech Members". National Academy of Science and Engineering. Retrieved 5 February 2022.
  14. ^ "Hector Fellow: Prof. Dr. Klaus-Robert Müller". Hector Fellow Academy. Retrieved 12 April 2024.
  15. ^ "Highly Cited Researchers 2023 recipients". Clarivate. Retrieved 12 April 2024.
  16. ^ "BIFOLD Researchers are Among the Most Cited Worldwide". BIFOLD. Archived from the original on 23 November 2021. Retrieved 27 November 2020.
  17. ^ "Preisträger: Innovationspreis 2017" (in German). Vodafone Stiftung für Forschung. Retrieved 23 November 2020.
  18. ^ "Berliner Wissenschaftspreis 2014 geht an Informatiker und Psychologin". 28 January 2015. Archived from the original on 27 January 2017. Retrieved 5 October 2016.
  19. ^ "ERC Consolidator Grant Panel 2014" (PDF).
  20. ^ "EMBS previous award winners". IEEE. Retrieved 3 April 2021.
  21. ^ "Former Olympus Award Winners". German Association for Pattern Recognition (DAGM). Archived from the original on 11 April 2021. Retrieved 8 April 2021.

External links[edit]