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Prof. Dr. Klaus-Robert Müller


Technische Universität Berlin
Machine Learning / Intelligent Data Analysis (IDA)

Marchstr. 23, 10587 Berlin

© Christian Kielmann

Prof. Dr. Klaus-Robert Müller


Full Professor and Chair | Machine Learning Group at the Technische Universität Berlin

Distinguished Professor | Korea University, Seoul, South-Korea

Klaus-Robert Müller received the Diploma degree in mathematical physics in 1989 and the Ph.D. in theoretical computer science in 1992, both from University of Karlsruhe, Germany. From 1992 to 1994 he worked as a Postdoctoral fellow at GMD FIRST, in Berlin where he started to built up the intelligent data analysis (IDA) group. From 1994 to 1995 he was a European Community STP Research Fellow at University of Tokyo in Prof. Amari’s Lab. From 1995 until 2008 he was head of department of the IDA group at GMD FIRST (since 2001 Fraunhofer FIRST) in Berlin and since 1999 he holds a joint associate Professor position of GMD and University of Potsdam. In 2003 he became a full professor at University of Potsdam, in 2006 he became chair of the machine learning department at TU Berlin. He has been lecturing at Humboldt University, Technical University Berlin and University of Potsdam. In 1999 he received the annual national prize for pattern recognition (Olympus Prize) awarded by the German pattern recognition society DAGM, in 2006 the SEL Alcatel communication award and in 2014 he was granted the Science Prize of Berlin awarded by the Governing Mayor of Berlin and in 2017 he received the Vodafone Innovations Award. Since 2012 he is Member of the German National Academy of Sciences Leopoldina and he holds a distinguished professorship at Korea University in Seoul. In 2017 he was elected member of the Berlin Brandenburg Academy of Sciences and also external scientific member of the Max Planck Society. For 5 years he was director of the Bernstein Center for Neurotechnology, from 2014 he became co-director of the Berlin Big Data Center (BBDC) and from 2018 simultaneously director of the Berlin Center for Machine Learning (BZML). Together with Volker Markl he became Director of the new Berlin Institute for the Foundations of Learning and Data (BIFOLD), after both BBDC and the BZML merged into BIFOLD. He serves in the editorial boards of Computational Statistics, IEEE Transactions on Biomedical Engineering, Journal of Machine Learning Research and in program and organization committees of various international conferences. In 2019 he became ISI Highly Cited Researcher.

2019, 2020, 
2021, 2022
ISI Highly Cited Researcher (Web of Science)
2017 Vodafone Innovation Award
2016 Best Paper’ prize for Visualizing and Understanding Deep Neural Networks, International Conference on Machine Learning (ICML)
2015 Editors’ Choice of the Year, Journal of Neurological Engineering
2014 Berlin Science Award by the governing mayor
2012 Elected Member of Deutsche Akademie der Naturforscher Leopoldina e.V.
2009 ‘Best Paper award by IEEE Engineering in Medicine and Biology Society EMBS
2006 SEL-ALCATEL Research Prize for Technical Communication
1999 Olympus Award for Pattern Recognition
1998 GMD best project award
1996 GMD best project award

  • Statistical learning theory (Support Vector Machines, Deep Neural Networks, Boosting)
  • Learning of non-stationarity data
  • Fusion of structured heterogeneous multi-modal data, co-adaptation
  • Applications: MEG, EEG, NIRS, ECoG, EMG, Brain Computer Interfaces, computational neuroscience, computer vision, genomic data analysis, computational chemistry and atomistic simulations, digital pathology

  • External Scientific Member Max-Planck-Society
  • Member BBAW, Berlin-Brandenburg Academy of Sciences
  • Elected Member of Deutsche Akademie der Naturforscher Leopoldina e.V.