Non-smooth optimization and analysis (convex and non-convex)
Image Processing, Computer Vision, and Machine Learning applications
See also our research webpage.
Peter Ochs received the M.Sc. degree in mathematics from the Saarland
University in Germany in 2010, and the Ph.D. degree in mathematics from the
University of Freiburg in 2015. During his Ph.D., he spent three months as a
visiting researcher at TU-Graz in Austria. After a year as a postdoctoral
researcher at Saarland University in Germany, he returned to Freiburg. In
November 2017, he became Juniorprofessor of Applied Mathematics at the
University of Saarland. Since September 2020, Peter Ochs is Professor at the University of
Tübingen, where he is heading the Mathematical Optimization Group.
He is coopted at the Department of Computer Science, associate faculty of the
International Max Planck Research School (IMPRS) for Intelligent Systems (IS),
and full member of the Cluster of Excellence Machine Learning.
He received the best paper award at the Scale Space and Variational Methods
Conference (SSVM) in 2015 and at the German Conference on Pattern Recognition
(GCPR) in 2016. His research interests are in non-smooth optimization with
applications in computer vision, machine learning, image analysis, and inverse
problems in general.