Navigation auf uzh.ch

Suche

Department of Informatics

07.03.2024 IfI Colloquium: Multidimensional Visualization

Speaker: 

Prof. Dr. Daniel Weiskopf, University of Stuttgart, Germany

Date: Thursday, 7 March 2024, 17:15 h

Location: room BIN 2.A.01 at the Department of Informatics (IfI)Binzmühlestrasse 14, 8050 Zürich  (information here) 

Details about the format of the talk shall be checked always just ahead of a certain presentation date: (information here) 

Abstract

Multidimensional data analysis is of broad interest for a wide range of applications. In this talk, I discuss visualization approaches that support the analysis of such data. I start with a brief overview of the field, a conceptual model, and a discussion of visualization strategies. This part is accompanied by examples of recent advancements, with a focus on results from my own work. In the second part, I detail techniques that enrich basic visual mappings like scatterplots, parallel coordinates, or plots of dimensionality reduction by incorporating local correlation analysis. I also discuss how space-filling curves can serve to link information to a multidimensional domain. The talk closes with an outlook on future research directions.

Bio

Daniel Weiskopf is a professor and director of the Visualization Research Center (VISUS) and acting director of the Institute for Visualization and Interactive Systems (VIS), both at the University of Stuttgart, Germany. He received his Dr. rer. nat. (PhD) degree in physics from the University of Tübingen, Germany (2001), and the Habilitation degree in computer science at the University of Stuttgart, Germany (2005). His research interests include visualization, visual analytics, eye tracking, human-computer interaction, computer graphics, augmented and virtual reality, and special and general relativity. He is spokesperson of the DFG-funded Collaborative Research Center SFB/Transregio 161 “Quantitative Methods for Visual Computing” (www.sfbtrr161.de), which covers basic research on visualization, including multidimensional visualization.