Klaus-Robert Müller

Klaus-Robert Müller (born 1964 in Karlsruhe, Germany) is a German physicist and computer scientist, most noted for his work in Machine Learning and Brain-Computer Interfaces.

Klaus-Robert Müller
Born
Klaus-Robert Müller

1964
Karlsruhe, Baden-Württemberg
Alma mater
Known for
Machine learning
Awards
  • Academy of Sciences Leopoldina Fellow (2012)
Scientific career
Fields
Institutions
ThesisSpärlich verbundene neuronale Netze und ihre Anwendung (Sparse neural networks and their application) (1992)
Academic advisors
Vladimir Vapnik

Shun'ichi Amari

Websitewww.ml.tu-berlin.de/menue/members/klaus-robert_mueller/

Career

Klaus-Robert Müller received his Diplom in mathematical physics and Ph.D. in theoretical computer science from the University of Karlsruhe. Following his Ph.D. he went to Berlin as a postdoctoral fellow at Fraunhofer FIRST (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 Amaris 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.

Research

He has contributed extensively to several major interests of Machine Learning, including Support Vector Machines and Kernel methods, and Neural Networks.[1] He pioneered applying new methods of pattern recognition in domains like Brain-Computer Interfaces, using them for patients suffering from Locked-in syndrome.

His present research interest include the application of time-series analysis and machine learning methods to domains such as the analysis of biomedical data (brain-computer interfacing, genomic data analysis, medical data mining), atomistic simulations and computational chemistry.[3]

Honours and awards

Klaus-Robert Müller was elected a fellow of the Academy of Sciences Leopoldina in 2012.

His work was honoured with several awards, including:

  • 2014 Science Prize of Berlin 2014 by the Governing Mayor of Berlin[4]
  • 2014 European Research Council Panel Consolidator Grants[5]
  • 1999 Olympus Award for Pattern Recognition[6]

Books
  • with Wojciech Samek et al.: Explainable AI: Interpreting, Explaining and Visualizing Deep Learning. Berlin, Heidelberg, 2019. ISBN 978-3-030-28953-9.
  • with Grégoire Montavon et al.: Neural Networks: Tricks of the Trade. Berlin, Heidelberg 2012, ISBN 3-642-35289-8.
  • with Genevieve B. Orr et al.: Neural Networks: Tricks of the Trade. Berlin, Heidelberg 1998, ISBN 3-540-65311-2.
gollark: Basically that, yes.
gollark: Probably less than 50.
gollark: Fewer!
gollark: Do you mean only holidays or generally?
gollark: Probably 230 or so?

References
  1. Klaus-Robert Müller publications indexed by Google Scholar
  2. Chris Bockman (May 29, 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. "Profile and resumé of Klaus-Robert Müller". Technical University Berlin. Retrieved 5 October 2016.
  4. "Berliner Wissenschaftspreis 2014 geht an Informatiker und Psychologin". 2015-01-28.
  5. "ERC Consolidator Grant Panel 2014" (PDF).
  6. "Recipients of the Olympus Award".


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