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Tensor field visualization - Simple visualizations for complex data?

Series: CSA Distinguished Lecture

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

Date/Time: Apr 10 16:00:00

Location: CSA Lecture Hall (Room No. 112, Ground Floor)

Abstract:
There is general agreement that visualization can provide powerful tools for scientific data analysis complementing automated analysis methods. In many areas visualization has become an essential part of scientific workflows, supporting the understanding of and reasoning about data. However, upon closer inspection, one can see that only a few basic methods (such as colors, isosurfaces, and volume rendering) are truly established and widely used. The main reason for the success of these methods is that they provide intuitive, easy-to-understand, and accessible visualizations. Unfortunately, these methods mostly only target simple data types. When it comes to more complex data, such as multivariate data or tensor fields, the complexity of visualization concepts typically increases significantly and their use in everyday work is more limited. These observations motivated us to attempt to generalize some of these basic methods to more complex data without increasing the complexity of the concepts too much. In this talk, I will present some results of these experiments, with a focus on tensor-valued data.

Speaker Bio:
Ingrid Hotz is currently a professor at Linkoping 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.

Host Faculty: Prof. Vijay Natarajan