Topological Analysis of Scientific Data
Hamish Carr, School of Computing
University of Leeds, United Kingdom
Wednesday, March 18, 2015
noon-1 p.m.
Brickyard (BYENG) 210, Tempe campus [map]
Abstract
As scientific data sets increase in size and complexity, scientific visualization increasingly depends on formal analysis of the data. One of the most successful forms of analysis uses computational topology to analyze properties such as minima, maxima, thresholds, ridges and flow.
Topological analyses have been developed for scalar fields, for vector fields, and more recently, for multi-variate and tensor fields. Carr will survey these approaches, with particular attention to recent developments that generalize topological analysis of scalar data to topological analysis of multivariate data based on fiber topology.
Biosketch
Hamish Carr received his B.C.Sc. (Hons.) (1998) from the University of Manitoba, and his M.Sc. (2000) and Ph.D. (2004) on topological visualization from the University of British Columbia. Since then, he has held posts as Lecturer at University College Dublin and Senior Lecturer at the University of Leeds. His research interests include computational topology, computational geometry, scientific visualization, computer graphics and geometric processing of acquired data (including LIDAR data). He is a member of the IEEE, ACM and Eurographics, and is active in the graphics and visualization communities.
http://www.engineering.leeds.ac.uk/people/computing/staff/h.carr?pub=full#PUBLRECENT
