Prof. Dr. Matthias Krauledat

“Can machines be intelligent?” - this question seems to be a science fiction topic entirely. And yet it is possible to develop algorithms that enable computers to learn and to solve complex problems autonomously. Matthias Krauledat has always been fascinated by the multitude of applications of Machine Learning in science and technology. Predictions on unseen data with the help of these computer programs can be key ingredients for interdisciplinary research projects.

Born in Essen, Matthias Krauledat studied Mathematics with second subject Computer Science in Münster and Oxford. In the course of his studies, he also visited the Institut de Recherche et Coordination Acoustique/Musique (IRCAM) in Paris. After his research at the “Intelligent Data Analysis” group at TU Berlin (in cooperation with Fraunhofer FIRST), he received his doctoral degree from the faculty Elektrotechnik/Informatik on the topic “Brain-Computer Interface”.

In his industrial career, he developed algorithmic software on the basis of multivariate signal processing methods and machine learning. He worked in the department “Scientific Computing” at Henkel AG & Co. KGaA and in the departments “Optical Measurement Technologies” and “Machine Diagnosis” at DMT GmbH & Co. KG (TÜV Nord Group).

In his spare time, Matthias Krauledat plays violoncello, viola and double bass.