Jan Swoboda studied mathematics and physics at the University of Würzburg. After having graduated, he moved to ETH Zurich as a research assistant, where he completed his doctorate in 2009 with a thesis on geometric analysis. From 2019 to 2021, Jan Swoboda was a fellow in the DFG's Heisenberg Program at Heidelberg University following scientific positions at the Max Planck Institute for Mathematics in Bonn, the LMU Munich, and Heidelberg University as well as longer research stays at Stanford University.

In his scientific work at Heidelberg University, Prof. Swoboda dealt with the interplay of geometry and analysis of nonlinear partial differential equations, whose origin is often theoretical physics, and in particular with the asymptotic structure of the solution spaces of such equations. This was followed by several years of work outside academia in the evaluation and development of AI systems in various application fields of digital signal processing, which is another of Jan Swoboda's scientific areas of interest.

Prof. Swoboda's courses are primarily aimed at students of engineering courses at the UAS departments of UniBw M. He aims at providing them with a sound mathematical foundation for their future engineering practice. In addition to established exercise formats, he will introduce students to computer-aided work at an early stage, in order to practice the concepts that he teaches on application-oriented problems. In terms of content, Prof. Jan Swoboda would also like to address current developments in the field of AI and to place one focus on imparting the underlying mathematical and statistical principles. He will also offer topics for final theses in this field.

Welcome, Professor Swoboda!

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