Artificial Intelligence for Discovering Obscured Shapes

At AIDOS Lab, we are fascinated by discovering hidden structures in complex data sets. Our primary research interests are situated at the intersection of geometry, topology and machine learning. We want to make use of geometrical and topological information to imbue neural networks with more information in their respective tasks, leading to better outcomes and more robust models. Along the way,  we develop new manifold learning techniques, new representation learning algorithms, and much more. Following the dictum "theory withouth practice is empty", we also aim to adress challenges in healthcare applications.

For more information, please visit the group's individual webpage.

Current research topics include

  • Computational Topology
  • Foundations of Machine Learning
  • Geometrical & Topological Deep Learning
  • Topological Data Analysis

Group Website

Head of group