Home > Seminars > Don Sheehy - Topological Data Analysis

Don Sheehy - Topological Data Analysis

Start:

1/17/2019 at 3:30PM

End:

1/17/2019 at 4:45PM

Location:

126 DeBartolo

Host:

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David Chiang

David Chiang

VIEW FULL PROFILE Email: dchiang@nd.edu
Phone: 574-631-9441
Website: http://www.nd.edu/~dchiang/
Office: 326D Cushing Hall

Affiliations

College of Engineering Associate Professor
Natural language processing, machine learning, and digital humanities.
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574-631-9441
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How does one integrate local information into a global understanding?
How does one extract intrinsic structure underlying a data set? 
How does one capture features of data that are invariant to a wide range of transformations? 
These are some of the fundamental questions motivating the field of topological data analysis (TDA).  In this talk, I will give a gentle introduction to TDA. I will start with some of its high profile successes in cosmology and cancer research. Then, I will discuss some of my own work on algorithms for TDA addressing problems such as multi-scale data signatures, sensor network coverage testing, and computing meaningful distances between curves and surfaces.

Seminar Speaker:

Don Sheehy

Don Sheehy

University of Connecticut

Don Sheehy received his B.S.E. from Princeton University and his Ph.D. in Computer Science from Carnegie Mellon University.   He spent two years as a postdoc at Inria Saclay in France.  He is now Assistant Professor of Computer Science at The University of Connecticut.  His research is in algorithms and data structures in computational geometry and topological data analysis.  His 2017 NSF CAREER Award focuses on the challenges of storing, searching, and summarizing complex data sets.