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Holger Rauhut is a Professor of Mathematics at Ludwig-Maximilians-Universität München, leading the Chair of Mathematics Information Processing since August 2023. Previously, he held a similar position at RWTH Aachen University, where he was instrumental in establishing new research initiatives. He has an extensive background in mathematical foundations with a focus on machine learning, signal processing, deep learning, and related fields. His work often intersects with applied harmonic analysis, continuous optimization, and mathematical techniques for data analysis. Rauhut has been actively involved in various research centers, including serving as the spokesperson for the Collaborative Research Center SFB 1481 on Sparsity and Singular Structures. His academic journey includes professorships at the University of Bonn and postdoctoral positions at the University of Vienna and the University of Wroclaw. Over the years, he has contributed to numerous editorial boards and has published extensively in prestigious journals.
Department of Economics. Includes an admissions test in Munich if the GPA is not better than 2.50 or equivalence is unclear.