Rafael Reisenhofer

Rafael Reisenhofer obtained bachelor's degrees in cognitive science, and mathematics and computer science from the University of Osnabrück, a master's degree in mathematics from TU Berlin, and a doctoral degree in mathematics from the University of Bremen. His main research interests are applied and computational harmonic analysis, mathematical image processing, computer vision, and, most recently, the mathematical analysis of deep learning architectures. His overarching research goal is to utilize a profound understanding of mathematical tools and concepts to gain a deeper insight into the mysteries of human cognition.

Rafael Reisenhofer is the principal investigator of the project.

Personal website: mat.univie.ac.at/~reisenhofer/

Philipp Grohs

Philipp Grohs is professor for applied mathematics at the University of Vienna and affiliated with the research platform Data Science @ Uni Vienna. He supervises the project and supports the principal investigator with his expertise in the mathematical analysis of deep learning.

Personal website: https://mat.univie.ac.at/~grohs/

Research Platform Data Science

The project is part of the research platform Data Science @ Uni Vienna. The research platform was established in 2018 and presents a hub on all activities in data science at the University of Vienna. Its primary focus is to bring researchers from different areas together to work on and solve several of the challenges that this new field presents.

Website: datascience.univie.ac.at