Research interests

I am interested in algorithms for the analysis of high dimensional data sets, with a special focus on prototype based learning. In a wider context I work on different topics in data management, business- and computational intelligence, machine learning and bioinformatics.

Currently I am working on algorithms for the analysis of (large) potentially non-metric proximity data. This topic has a wide range of applications e.g. in robotics, bioinformatics, graph data analysis. See more recent publications and software on this page.

I am also interested on efficient large scale scientific software systems including programming, testing and development techniques.

Research associates:

I work in close collaboration with the group on Theoretical Computer Science at the University of Bielefeld and
the computational intelligence group at the University of Applied Sciences Mittweida where I also co-supervise multiple Master and PhD students.