Computational Persistence 2023

08-28-2023

The Department of Computer Science welcomes attendees to Computational Persistence 2023 which takes place from Sept. 25 -29 in hybrid format.

In recent years, advances in topological data analysis have been fueled by progresses on both fronts of mathematics and algorithms. This workshop intends to focus on the computational aspects of topological persistence that is central to this development.

Diverse applications of topological persistence hinge on the capability of the algorithms to handle scale and noise in data. We hope that this workshop in its third year, termed as "Computational Persistence 2023", provides a forum to exchange ideas on developing efficient, robust, application-driven algorithms backed up by solid mathematics.

The Department of Computer Science at Purdue is hosting the event in person and virtually, registration is available online. The titles and abstracts of the sessions are available on the event's website. 

Computational Persistence 2023 is organized by Professor Tamal K. Dey, Soham Mukherjee, Shreyas Samaga, and Tao Hou (DePaul)

The workshop is intended for graduate students, postdocs, and faculty who are interested in the area of data analysis using computational and algebraic topology.

Tamal Dey's primary research area is computational geometry and topology with applications to topological data analysis, geometric modeling, computer graphics, and mesh generation. He has (co)authored three books, Curve and surface reconstruction: Algorithms with Mathematical Analysis, and Delaunay Mesh Generation, and Computational Topology for Data Analysis. Dey has authored more than 200 scientific articles. He is an IEEE and ACM Fellow and has been inducted as a Fellow by Solid Modeling Association.