Institute Colloquium-EECS Division talk by Prof. Ingrid Hotz @2.30pm

Location: Faculty Hall

Department of Computer Science and Automation
Institute Colloquium – EECS Division talk

Speaker: Prof. Ingrid Hotz, Linköping University, Sweden
Dr. Ram Kumar IISc Distinguished Visiting Chair Professor

Title: Visualization research – from data analysis to science communication

Date: Friday, January 27, 2023

Time: 2:30 PM

Venue: Faculty Hall, Indian Institute of Science

Abstract: Visualization is omnipresent in everyday life serving many different purposes, examples range from plots in the newspapers to illustrations in textbooks. However, visualization goes far beyond such examples and pretty pictures. Visual data analysis has developed into an essential component of modern scientific workflows supporting understanding and reasoning about data. In this talk, I will mainly focus on the use of visualization for data analysis and exploration, and conclude with an outlook on how similar methods can be used in science communication.

As data is increasingly large and complex, effective data exploration requires abstractions that serve as a backbone for easy navigation through data. To this end, topological data analysis (TDA) has proven to provide fundamental tools in visualization applications. It provides multi-scale data summaries with nice mathematical properties and guarantees. In the talk, I will demonstrate a few examples using topological descriptors for feature tracking in time-dependent scalar fields. The examples include cyclone evolutions in weather modeling and structure tracking in flow simulations.

Biography of the speaker: Ingrid Hotz is currently a professor at Linköping University. She heads the Scientific Visualization group in the Department of Science and Technology (ITN). She has an M.S. degree in Theoretical Physics from the Ludwig Maximilians University in Munich Germany and a Ph.D. in computer science from the University of Kaiserslautern, Germany. Her research interests are in the field of visual data analysis and range from basic research questions to solving visualization problems in real applications, e.g., engineering, physics, chemistry, and medicine. Her research builds on ideas and methods drawn from various areas of computer science and mathematics, such as computer graphics, computer vision, dynamical systems, computational geometry, and topological data analysis.

This talk is organized / hosted by the EECS Division.