Klaus-Robert Müller
{{short description|German computer scientist}}
{{Use dmy dates|date=September 2020}}
{{Infobox scientist
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|name = Klaus-Robert Müller
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|birth_date = {{birth date and age|1964|12|29|df=y}}
|birth_place = Karlsruhe, West Germany
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|fields = {{Plainlist|
- Machine learning
- Neural networks
- Statistical learning theory
- Brain–computer interfaces
- Artificial Intelligence}}
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|thesis_title = Spärlich verbundene neuronale Netze und ihre Anwendung (Sparse neural networks and their application)
|thesis_year = 1992
|thesis_url = http://d-nb.info/931661676
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- Academy of Sciences Leopoldina Fellow {{small|(2012)}}
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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.
Career
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.{{cite video | url = https://www.youtube.com/watch?v=13EEopDPd7c | title = AI FOR GOOD 2019 INTERVIEWS: Klaus-Robert Müller, Head of Intelligent Data Analysis group, TU Berlin | date = May 29, 2019 | publisher = 2019 AI for Good Global Summit - International Telecommunication Union| location = Geneve| author = Chris Bockman | website = Youtube}}
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 Technische Universität 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 TU 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.{{cite web |url=https://www.brandeins.de/magazine/brand-eins-wirtschaftsmagazin/2016/vorbilder/der-maschinenlehrer|title=Der Maschinenlehrer |publisher=brand eins|accessdate=2020-11-27|language=de}}
Since 2020 he is director of the Berlin Institute for the Foundations of Learning and Data (BIFOLD),{{cite web| url=https://bifold.berlin/bifold-announcement/| title=Official announcement of BIFOLD in Berlin| publisher=Technische Universität Berlin| accessdate=2020-09-22| archive-date=12 October 2020| archive-url=https://web.archive.org/web/20201012152854/https://bifold.berlin/bifold-announcement/| url-status=dead}} a German National AI Competence Center,{{cite web |url=https://www.tu.berlin/en/about/profile/press-releases-news/2020/november/milestone-for-berlin-ai-research/ |title=Milestone for AI Research in Berlin |publisher=TU Berlin |language=de |accessdate=2021-07-30}} and director of the European Laboratory for Learning and Intelligent Systems (ELLIS) unit Berlin.{{cite web| url=https://ellis.eu/units/berlin|title =ELLIS unit Berlin | website = ellis.eu|accessdate=2020-09-22}}
In 2020/2021 he spent his sabbatical at Google Brain as a principal scientist.{{cite web|url=https://research.google/people/107313/|title=Klaus-Robert Müller|publisher=Google Brain|accessdate=2021-04-08}}
Research
Müller has contributed extensively to several major interests of machine learning, including support vector machines (SVMs) and kernel methods, and artificial neural networks.{{GoogleScholar|jplQac8AAAAJ}} 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.{{cite web|url=https://research.com/scientists/DE|title=Ranking for Computer Science in Germany|publisher=Guide 2 Research|accessdate=2021-04-01}}
His current research interests include:{{cite web|url=https://bifold.berlin/person/prof-dr-klaus-robert-mueller/|title=Profile and resumé of Klaus-Robert Müller|publisher=BIFOLD|accessdate=2021-04-27|archive-date=15 April 2021|archive-url=https://web.archive.org/web/20210415055412/https://bifold.berlin/person/prof-dr-klaus-robert-mueller/|url-status=dead}}
- 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
Honours and awards
Klaus-Robert Müller was elected a fellow of the German National Academy of Sciences Leopoldina in 2012.{{cite web | url=https://www.leopoldina.org/en/members/list-of-members/list-of-members/member/Member/show/klaus-robert-mueller/|title = List of Members | publisher = Leopoldina|accessdate=2020-10-12}} In 2017 he was elected member of the Berlin-Brandenburg Academy of Sciences and Humanities{{cite web |url=https://www.bbaw.de/die-akademie/bbaw-mitglieder/mitglied-klaus-robert-mueller|title=Klaus-Robert Müller |publisher=Berlin-Brandenburg Academy of Sciences and Humanities|accessdate=2020-11-20}} and also external scientific member of the Max Planck Society.{{cite web |url=https://www.mpi-inf.mpg.de/institute/scientific-members-of-mpg|title=Scientific Members of MPG |publisher=Max Planck Society|accessdate=2020-11-27}} In 2021 he was elected member of the German Academy of Science and Engineering.{{cite web |url=https://en.acatech.de/person/klaus-robert-mueller-technische-universitaet-berlin/|title=acatech Members |work=acatech - National Academy of Science and Engineering |publisher=National Academy of Science and Engineering |accessdate=2022-02-05}}
His work was honoured with several awards, including:
- 2024 Feynman Prize in Nanotechnology{{cite web|url=https://foresight.org/wp-content/uploads/2025/01/PRESS-RELEASE-2024-Feynman-Prizes.pdf|title=Foresight Institute Announces 2024 Feynman Prize Winners|publisher=Foresight Institute|accessdate=2025-01-10}}
- 2023 Hector Fellow{{cite web|url=https://hector-fellow-academy.de/en/research/hector-fellows/klaus-robert-mueller/|title=Hector Fellow: Prof. Dr. Klaus-Robert Müller|publisher=Hector Fellow Academy|accessdate=2024-04-12}}
- 2024, 2023, 2022, 2021, 2020, and 2019 Clarivate Highly Cited Researcher{{cite web |url=https://clarivate.com/highly-cited-researchers/|title=Highly Cited Researchers 2024 recipients|date=13 November 2024 |publisher=Clarivate|language=en|accessdate=2025-01-10}}{{cite web|url=https://bifold.berlin/de/bifold-researchers-are-among-the-most-cited-worldwide/|title=BIFOLD Researchers are Among the Most Cited Worldwide|publisher=BIFOLD|accessdate=2020-11-27|archive-date=23 November 2021|archive-url=https://web.archive.org/web/20211123134043/https://bifold.berlin/de/bifold-researchers-are-among-the-most-cited-worldwide/|url-status=dead}}
- 2017 Vodafone Innovations Award 2017{{cite web | url=https://vodafone-stiftung-fuer-forschung.de/preistraeger/2017/inno.html|title=Preisträger: Innovationspreis 2017 |publisher=Vodafone Stiftung für Forschung|language=de|accessdate=2020-11-23}}
- 2014 Science Prize of Berlin 2014 by the Governing Mayor of Berlin{{cite web|url=https://www.berlin.de/rbmskzl/aktuelles/rathaus-aktuell/2015/meldung.254827.php/|title=Berliner Wissenschaftspreis 2014 geht an Informatiker und Psychologin|date=2015-01-28|access-date=5 October 2016|archive-date=27 January 2017|archive-url=https://web.archive.org/web/20170127062751/https://www.berlin.de/rbmskzl/aktuelles/rathaus-aktuell/2015/meldung.254827.php/|url-status=dead}}
- 2014 European Research Council Panel Consolidator Grants{{cite web|url=https://erc.europa.eu/sites/default/files/document/file/Panel_Members_Consolidator_Grant_2014.pdf|title=ERC Consolidator Grant Panel 2014}}
- 2009 Best Paper award by IEEE Engineering in Medicine and Biology Society EMBS{{cite web | url=https://www.embs.org/about-embs/awards-recognition/previous-award-winners/|title=EMBS previous award winners|publisher=IEEE|accessdate=2021-04-03}}
- 2006 SEL-ALCATEL Research Prize for Technical Communication
- 1999 Olympus Award for Pattern Recognition{{cite web|url=https://www.dagm.de/award-winners/german-pattern-recognition-award/default-title|title=Former Olympus Award Winners|publisher=German Association for Pattern Recognition (DAGM)|accessdate=2021-04-08|archive-date=11 April 2021|archive-url=https://web.archive.org/web/20210411042812/https://www.dagm.de/award-winners/german-pattern-recognition-award/default-title|url-status=dead}}
Books
- with {{cite book |editor-last1=Holzinger |editor-first1=Andreas |editor-last2=Goebel |editor-first2=Randy |editor-last3=Fong |editor-first3=Ruth |editor-last4=Moon |editor-first4=Taesup |editor-last5=Müller |editor-first5=Klaus-Robert |editor-last6=Samek |editor-first6=Wojciech |editor5-link=Klaus-Robert Müller |display-editors=1 |date=2022 |title=xxAI – Beyond Explainable Artificial Intelligence |series=Lecture Notes in Computer Science |volume=13200 |publisher=Springer Cham |doi=10.1007/978-3-031-04083-2 |doi-access=free |isbn=978-3-031-04082-5}}
- with {{cite book |editor-last1=Schütt |editor-first1=Kristof T. |editor-last2=Chmiela |editor-first2=Stefan |editor-last3=von Lilienfeld |editor-first3=O. Anatole |editor-last4=Tkatchenko |editor-first4=Alexandre |editor-last5=Tsuda |editor-first5=Koji |editor-last6=Müller |editor-first6=Klaus-Robert |editor6-link=Klaus-Robert Müller |display-editors=1 |date=2020 |title=Machine Learning Meets Quantum Physics |series=Lecture Notes in Physics |volume=968 |publisher=Springer Cham |doi=10.1007/978-3-030-40245-7 |isbn=978-3-030-40244-0|s2cid=242406994 |url=http://orbilu.uni.lu/handle/10993/45786 }}
- with {{cite book |editor-last1=Samek |editor-first1=Wojciech |editor-last2=Montavon |editor-first2=Grégoire |editor-last3=Vedaldi |editor-first3=Andrea |editor-last4=Hansen |editor-first4=Lars Kai |editor-last5=Müller |editor-first5=Klaus-Robert |editor5-link=Klaus-Robert Müller |display-editors=1 |date=2019 |title=Explainable AI: Interpreting, Explaining and Visualizing Deep Learning |series=Lecture Notes in Computer Science |volume=11700 |publisher=Springer Cham |doi=10.1007/978-3-030-28954-6 |isbn=978-3-030-28953-9}}
- with {{cite book |editor-last1=Montavon |editor-first1=Grégoire |editor-last2=Orr |editor-first2=Geneviève B. |editor-last3=Müller |editor-first3=Klaus-Robert |editor3-link=Klaus-Robert Müller |display-editors=1 |date=2012 |title= Neural Networks: Tricks of the Trade |series=Lecture Notes in Computer Science |volume=7700 |edition=2nd |publisher=Springer Berlin, Heidelberg |doi=10.1007/978-3-642-35289-8 |isbn=978-3-642-35288-1|s2cid=39578794 }}
References
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External links
- {{Google Scholar id}}
- {{Official website}}
{{Authority control}}
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Category:German artificial intelligence researchers
Category:Machine learning researchers
Category:Academic staff of Technische Universität Berlin
Category:Academic staff of Korea University
Category:German computer scientists
Category:21st-century German physicists
Category:Karlsruhe Institute of Technology alumni
Category:Members of the German National Academy of Sciences Leopoldina