We perform basic research on the design and analysis of prior-free algorithms with a strong focus on theoretical and mathematical aspects. Motivated by the end of Moore’s Law and the prevalence of “big” and “fast” data, we mainly work an distributed and dynamic algorithms. Our main expertise lies in the domain of graphs, which are an abstract model for all kinds of networks. Please find more information about specific projects below. We also maintain a list of our publications.


FWF-funded research project on distributed graph algorithms

Social Network Visualization


ERC-funded research project on dynamic graph algorithms

Fast Data Visualization

Industry Collaborations

We regularly collaborate with industrial partners.

Visualization of railway tracks joining each other