|Thesis||Spärlich verbundene neuronale Netze und ihre Anwendung (Sparse neural networks and their application) (1992)|
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.
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.
He has contributed extensively to several major interests of Machine Learning, including Support Vector Machines and Kernel methods, and Neural Networks. 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.
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
- 2014 European Research Council Panel Consolidator Grants
- 1999 Olympus Award for Pattern Recognition
- Klaus-Robert Müller publications indexed by Google Scholar
- "Profile and resumé of Klaus-Robert Müller". Technical University Berlin. Retrieved 5 October 2016.
- "Berliner Wissenschaftspreis 2014 geht an Informatiker und Psychologin". 2015-01-28.
- "ERC Consolidator Grant Panel 2014" (PDF).
- "Recipients of the Olympus Award".