Martin Trat studied industrial engineering at the University of Bayreuth, initially specializing in automotive/cybernetics. In his subsequent master's degree, he deepened his knowledge of the disciplines machine learning and vision at the Karlsruhe Institute of Technology. In the course of this, he went on a research stay at Bosch Rexroth in the Chicago metropolitan area, where he dealt with scrap prediction for highly automated machines based on artificial intelligence.

Having already worked several years as a scientific assistant for the FZI, he became a research scientist in the department Intelligent Systems and Production Engineering after completing his studies.
His dissertation project, supervised by Prof. Dr. Dr.-Ing. Dr. h. c. Ovtcharova, deals with the productive application of artificial intelligence (key terms: incremental learning, data stream mining) and its long-term maintenance in the industrial environment.

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