Kresimir Matkovic: Interactive Visual Analysis for Ensemble Simulations

Kresimir Matkovic – head of the interactive visualization group at VRVis Research Center in Vienna
will give a guest talk within the Visual Analytics lecture at University of Cologne,
When: 23 June 2022, 12:00 – 13:30 CEST,
Where: building 321: Hörsaal II (Physik)
Title: Interactive Visual Analysis for Ensemble Simulations
Abstract:
Simulation ensembles — multiple variations of the same model — are often computed to better understand intricate physical phenomena. The analysis of complex simulation ensembles is a challenging problem which is approached by computational and interactive methods. We describe how modern visual analytics helps to analyze simulation ensemble data. A clever combination of computational and interactive methods supports the simulation expert to gain deeper insight into the data and into the physical phenomenon that is represented by the ensemble. A combination of interactive visualization and computational analysis provides unique advantages for the exploration and analysis of simulation ensembles. It helps the domain expert to efficiently cope with analysis tasks, in particular when they are only partially defined. In this talk, we describe the basics of interactive visual analysis, several approaches to interactive ensemble steering, and means for results quantification and analysis reproducibility.
Short Bio: Kresimir Matkovic is a senior researcher, area coordinator of the complex systems area, and head of the interactive visualization group at VRVis Research Center in Vienna. Since 2000, he has been leading basic and applied research projects at VRVis with numerous national and international partners. He has an especially strong background in the visualization of simulation data (from the engineering level up to first class research). He is interested in extending visual analysis technology to challenging heterogeneous data, in particular to a combination of multi-variate data and more complex data types. He also focuses his research on developing a structured model for visual analysis that supports a synergetic combination of user interaction and computational analysis. Since 2010 he teaches Information Visualization at TU Wien where he received his doctoral degree and habilitation (in 1998 and 2016). He is also an adjunct professor at the University of Zagreb, where he received his graduate degree in 1994.