Peter Struss

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Peter Struss (born April 14, 1949 ) is a German computer scientist .

Life

Peter Struss received a diploma in mathematics from the University of Göttingen and a doctorate in computer science from the University of Kaiserslautern . He completed his habilitation in computer science at the Technical University of Munich .

From 1978 to 1992 he worked in the corporate R&D division of Siemens Corp., where he was responsible for the knowledge-based systems group. He has been a visiting researcher at the Xerox Palo Alto Research Center and the International Computer Science Institute in Berkeley several times.

In 1992 he moved to the Technical University of Munich as a professor of computer science, where he heads the “Model-based Systems and Qualitative Modeling” (MQM) group. His research interests are in the field of artificial intelligence with a focus on the development of fundamentals and environments for modeling and model-based problem solvers, in particular automated diagnostics, tests, and error mode and effect analysis. The theoretical work was always carried out and evaluated in connection with various projects on real applications.

He is a Fellow of the European Association for Artificial Intelligence (formerly ECCAI, now EurAI), co-editor of the Artificial Intelligence Journal and member of the editorial board of the International Journal of Prognostics and Health Management . In 2014 he received the Lifetime Achievements Award from the International Workshop on Principles of Diagnosis .

Web links

Individual evidence

  1. Tobias Voigt, Stefan Flad, Horst-Christian Langowski, Peter Struss, Axel Kather: Error diagnosis in interlinked packaging lines. Model-based diagnosis for filling and packaging systems. In: atp edition - Automation technology practice. 2009, issue 12, pp. 44-53. Online .
  2. CV on the website of the Technical University of Munich .
  3. ^ Fellows of the European Association for Artificial Intelligence .
  4. Lifetime Achievements Award of the International Workshop on Principles of Diagnosis .