Peter Maass

Peter Maass is professor for Applied Mathematics since 1999 and the director of the Center for Industrial Mathematics at University of Bremen since 2009. His main research areas include inverse problems, machine learning, parameter identification, wavelet analysis and since several years deep learning based on neural networks. Prof. Maass studied mathematics in Karlsruhe, Cambridge and Heidelberg and obtained his doctorate in 1988 from TU Berlin and his habilitation in mathematics from Saarland University in 1993. Peter Maass was a full professor for Numerical Analysis at University of Potsdam from 1993 -1999.
Peter Maass was awarded an honorary doctorate by the University of Saarland, Germany in 2018. Prof. Maass is taking a leading role in numerous research projects, e.g. he is the speaker of the DFG-funded Research Training Group 2224 ‘Parameter Identification – Analysis, Algorithms, Applications’ and was the deputy speaker of the DFG-SFB 747 ‘Micro Cold Forming’. Peter Maass is on the board of the Committee for Mathematical Modeling, Simulation, and Optimization (KoMSO). He is (co)-author of more than 120 publications in peer-reviewed literature, four monographs and 32 book chapters. Peter Maass holds seven patents and patent applications.