Applied Machine Learning

The Applied Machine Learning group is developing and researching novel methods across different directions such as deep learning, supervised and unsupervised learning, multimodality, and hybrid models. Our group is in particular interested in exploring new applications in sciences or industry. We are always seeking new cooperations to form interdisciplinary and diverse teams to combine unique expertise to solve concrete and challenging problems relevant in applications.

Research Topics

The research topics address different fields in the areas of deep learning, self-supervised learning, and multi-modal analysis.

Read more


We are actively contributing to several standardization efforts on national and international level.

Read more


Journal papers, conference proceedings, talks and tutorials, standardization contributions and books. Find out about the publications of our group.

Read more


Your partner for research and product development: Get in contact with our scientists.

Read more