ECE Seminar Series

ISTeC Distinguished Lecture in conjunction with the Electrical and Computer Engineering Department and Computer Science Department Seminar Series

Title: The Shape of Data
Speaker: Gunnar Carlson
Affiliation: Stanford University
Day: Monday, October 20, 2014
Time: 11:00 am - 12:00 pm
Location: LSC Grey Rock Room

Abstract: "Big data" is a term which describes many varied problems in the management of data. These relate to storage, query ca- pability, analysis, and numerous other aspects of the general problem of how to make most effective use of the enormous amounts of data currently being gathered. We will talk about a collection of recently developed methods for the analysis of large, high dimensional, and most importantly, complex data sets. These methods us the mathematical notion of shape, as encoded in topological methods, as a new tool in data analysis. We will discuss these methods, with numerous examples.

Bio: Gunnar Carlsson: B.A. Harvard 1973, Ph.D. Stanford 1976, Ann and Bill Swindells Professor at Stanford University. Has worked in various areas of homotopy theory, equivariant algebraic topology, and algebraic K-theory. Proved "Segal's Burn- side Conjecture" as well a "Sullivan's fixed point conjecture". Sloan research fellow, invited speaker at 1986 ICM. In recent years has been developing topological data analysis, the study of the "shape" of point cloud data. Led a multi-university DARPA initiative on this topic.