Please note: This seminar will take place in DC 1302.
Matthias Weidlich, Professor
Hasso Plattner Institute, University of Potsdam
In various application scenarios, the temporal perspective of data is of particular importance. That is, the ordering of data elements constitutes an essential aspect in their analysis, for instance, by identifying behavioral patterns in a dataset.
In this talk, I give an overview of some of our work on answering the questions of why to query for certain behavior, how to support users in the definition of effective queries, and how to evaluate these queries efficiently.
Bio: Matthias is a full professor and chair for Data Systems at the Hasso Plattner Institute (HPI), at the Digital Engineering Faculty of the University of Potsdam. Before joining HPI in 2026, he held positions as a full professor and chair for Databases and Information Systems at Humboldt-Universität zu Berlin, research associate at Imperial College London, and as a research fellow and adjunct lecturer at the Technion - Israel Institute of Technology.
His research focuses on data-driven process analysis, event stream processing, and exploratory data analysis. He serves as Co-Editor in Chief for the Information Systems journal and is a member of the steering committees of the ACM DEBS and BPM conference series.