Klaus-Robert Müller

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 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.

Since 2020 he is director of the Berlin Institute for the Foundations of Learning and Data (BIFOLD),[3] and director of the European Laboratory for Learning and Intelligent Systems (ELLIS) unit Berlin.[4]

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.[5]

Klaus-Robert Müller was elected a fellow of the Academy of Sciences Leopoldina in 2012.[6] In 2017 he was elected member of the Berlin-Brandenburg Academy of Sciences and Humanities[7] and also external scientific member of the Max Planck Society.[8]

His work was honoured with several awards, including:

• 2020 ISI Highly Cited Researcher 2020[9][10]
• 2019 ISI Highly Cited Researcher 2019[11]
• 2017 Vodafone Innovations Award 2017[12]
• 2014 Science Prize of Berlin 2014 by the Governing Mayor of Berlin[13]
• 2014 European Research Council Panel Consolidator Grants[14]
• 1999 Olympus Award for Pattern Recognition[15]

• 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.

• Official website
• Klaus-Robert Müller publications indexed by Google Scholar
• List of publications from Microsoft Academic