About
Full Professor of Machine Learning in the Department of Artificial Intelligence and Human Interfaces (AIHI) at the University of Salzburg. Deputy Head of AIHI. Renowned for research in theoretical and practical aspects of structural learning, topological deep learning, medical image analysis, and machine learning methods. Active contributor to major AI conferences and journals.
Work
University of Salzburg – Department of Artificial Intelligence and Human Interfaces (AIHI)
|Full Professor of Machine Learning; Deputy Head of Department
Salzburg, Salzburg, Austria
Summary
Appointed as Full Professor for Machine Learning at AIHI, University of Salzburg. Serving as Deputy Head of the department.
Highlights
Leading research in structural learning, topological deep learning, and medical image analysis; group’s publications regularly presented at NeurIPS, ICML, CVPR and MICCAI
Recent news: ’The Flood Complex’ paper accepted to NeurIPS 2025; released flooder v1.0rc3 Python package (May–Sep 2025) ([rkwitt.github.io](https://rkwitt.github.io/?utm_source=openai))
Delivered public lecture ‘Mythen und Legenden zu KI’ in October 2025; co-director of IDA Lab Salzburg ([plus.ac.at](https://www.plus.ac.at/wp-content/uploads/2025/10/GW-Fakultaet-News-Events-Oktober-2025.pdf?utm_source=openai))
University of Salzburg – Department of Computer Science
|Full Professor of Machine Learning
Salzburg, Salzburg, Austria
Summary
Held full professorship in Machine Learning within the Department of Computer Science.
Highlights
Transitioned from Department of Computer Science to AIHI at start of 2022 ([rkwitt.github.io](https://rkwitt.github.io/cv-kwitt.pdf?utm_source=openai))
University of Salzburg – Department of Computer Science
|Associate Professor
Salzburg, Salzburg, Austria
Summary
Associate Professor with teaching and research responsibilities in Machine Learning and Computer Vision.
Highlights
Contributed to the foundation of the bachelor’s program in Artificial Intelligence (launched October 2022) ([sn.at](https://www.sn.at/salzburg/wirtschaft/es-menschen-ki-147198139?utm_source=openai))
University of Salzburg – Department of Computer Science
|Assistant Professor
Salzburg, Salzburg, Austria
Summary
Early academic appointment focusing on machine learning, computer vision, and multimedia security.
Highlights
Developed foundations in topological deep learning and multimedia security methodologies ([wavelab.at](https://wavelab.at/member-rkwitt.shtml?utm_source=openai))
Chapel Hill (NC), North Carolina, US
Summary
Research and development engineer working on open‑source tools and medical imaging applications.
Highlights
Worked on projects including TubeTK and medical imaging pipelines at Kitware, NC, USA ([rkwitt.github.io](https://rkwitt.github.io/cv-kwitt.pdf?utm_source=openai))
Skills
Machine Learning
topological learning, structural learning, persistent homology.
Computer Vision / Medical Imaging
image registration, image analysis, medical imaging.
Programming
Python, C++, MATLAB.
Research Leadership
conference organization, editorial reviewing, academic mentorship.