Peter Maaß

Prof. Dr. Dr. h.c. Peter Maaß is a leading academic at the Center for Industrial Mathematics (ZeTeM) at the University of Bremen, Germany. His work bridges Inverse Problems, Machine Learning, and Computational Engineering, with a focus on applications in life sciences and industrial systems.

Research Interests: A pioneer in inverse problems and imaging, Maaß’s research spans

• Signal and image analysis in life sciences
• Deep learning for geometry generation
• Hybrid data-driven and model-based simulations
• Parameter identification in differential equations

Recent Publications highlight trends in Deep Learning, Medical Imaging, and Scientific Computing, with subtopics including GAN-based inversion, Neural Network Regularization, and Multiscale Approximation. His work often integrates domain-specific knowledge with modern AI techniques.

Scientific Honors:

• Dr. h.c. (honorary doctorate)

Advising and Grants: He has supervised numerous PhD theses on topics like Regularization Theory, 3D Image Analysis, and Invertible Neural Networks. His projects include EU-ROMSOC, AGENS, and DIAMANT, funded by agencies such as DFG, BMBF, and EU.

Labs and Collaborations: Leads the Working Group Industrial Mathematics and contributes to ZeTeM’s interdisciplinary research, including Graduate School π³ and collaborations with institutions like University of Melbourne and Clemson University.