PhD candidate Shivam Agarwal developed a visualization tool to analyze train schedules in the Flatland competition, organized as part of the NeurIPS 2020 conference, held virtually in December. The developed visualization received...

At the VINCI 2020 virtual international conference, Prof. Fabian Beck was one of two keynote speakers and gave a presentation on how to make visualizations self-explanatory.

Paper rejections are common in research. Although researchers come to terms with such unpleasant encounters with experience, these rejections can be quite painful and frustrating experience for young researchers who have just set...

Our research group has started a YouTube channel for showcasing our research in various video presentations.

Our recent research work titled “Visualizing Sets and Changes in Membership Using Layered Set Intersection Graphs” won the Best Paper Award at the Vision, Modeling, and Visualization (VMV) 2020 conference. The conference was held...

Visualizing Evolution and Performance Metrics on Method Level as Multivariate Data

Machine learning methods are powerful but are hard to understand, especially if they show complex temporal behavior as part of their training process or when being used as autonomous agents. Group member Shivam Agarwal, together...

New interdisciplinary MERCUR research project on comparative data analysis within the Ruhr University Alliance

A visualization tool developed by PhD student Shivam Agarwal, which supports analysis of Pommerman games in a competition, was awarded with $1k in Google Credits. The competition was held as a workshop of the NeurIPS...

Our publication "Performance Evolution Matrix: Visualizing Performance Variations along Software Versions" was awarded at IEEE VISSOFT 2019 in Cleveland, USA as the best conference contribution.

Two new approaches for monitoring software performance will be presented at the international conference VISSOFT 2019

Presenting the quality of a software project as an interactive combination of text and visualizations