Katharina Morik
From Wikipedia the free encyclopedia
Katharina Morik (born 1956)[1] is a retired German computer scientist specializing in machine learning and data mining, with a focus on green computing in machine learning. She is the former chair for artificial intelligence at the Technical University of Dortmund.[2]
Education and career[edit]
Morik completed a doctorate (Dr. rer. nat.) in 1981 at the University of Hamburg, with the dissertation Validierung von Überzeugungssystemen der künstlichen Intelligenz vor dem Hintergrund linguistischer Theorien über implizite Äußerungen supervised by Walther von Hahn.[3]
After habilitating at the Technical University of Berlin in 1988, she became the founding chair of artificial intelligence at the Technical University of Dortmund in 1991. She retired in 2023.[2]
Recognition[edit]
Morik was named to acatech, the German National Academy of Science and Engineering, in 2015.[4] She has been a member of the North Rhine-Westphalian Academy of Sciences, Humanities and the Arts since 2016.[5] In 2019 she was elected as a fellow of the German Informatics Society.[6]
References[edit]
- ^ Birth year from German National Library catalog, retrieved 2024-03-10
- ^ a b "Prof. Dr. Katharina Morik", Lamarr Institute for Machine Learning and Artificial Intelligence, Technical University of Dortmund, retrieved 2024-03-10
- ^ Katharina Morik at the Mathematics Genealogy Project
- ^ "Prof. Dr. Katharina Morik", Members, Acatech, retrieved 2024-03-10; Katharina Morik as new member of acatech - National Academy of Science and Engineering, Technical University of Dortmund, 30 November 2015, retrieved 2024-03-10
- ^ "Katharina Morik", IEEE Xplore, IEEE, retrieved 2024-03-10
- ^ Fellows, German Informatics Society, retrieved 2024-03-10; "Katharina Morik wird zum GI-Fellow ernannt", ML2R (Lamarr Institute for Machine Learning and Artificial Intelligence), Technical University of Dortmund, 1 October 2019, retrieved 2024-03-10
External links[edit]
- Home page
- Katharina Morik publications indexed by Google Scholar
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