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Felix Krahmer focuses on the mathematical foundations of signal and image processing, particularly covering randomized sensing methods such as compressed sensing, dimension reduction, and analog-to-digital conversion. His research involves both theoretical analysis and practical applications, including projects related to non-destructive testing of steel pipes. He obtained his doctoral degree in 2009 from the supervision of Percy Deift and Sinan Güntürk at New York University's Courant Institute after studying mathematics at International University Bremen (now Jacobs University) and Université de Paris Sud. After completing his PhD, Krahmer joined the Hausdorff Center for Mathematics in Bonn as a postdoctoral researcher under Holger Rauhut. He served as a junior professor in Mathematical Data Analysis at University Göttingen from 2012 to 2015, where he led an Emmy Noether junior research group starting in 2014. In April 2015, he joined the Technical University of Munich as an assistant professor. His contributions to the fields of signal processing and data analysis have been recognized through several awards, including the Supervisory Award from the International School of Applied Mathematics and membership in the Emmy-Noether young investigator program of the German Science Foundation.
Technical University of Munich • Munich, Germany
Joined TUM as an assistant professor focusing on Mathematical Data Analysis.
University of Göttingen • Göttingen, Germany
Led Emmy Noether junior research group in Mathematical Data Analysis.