Computational Persistence 2022

10-13-2022

The Department of Computer Science welcomes attendees to the Computational Persistence 2022, to be held virtually from MON OCT 31 - FRI NOV 4. 

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 second year, termed as "Computational Persistence 2022", 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 virtually, registration is available online. A link will be sent to those who have registered for the workshop. A total of 10 sessions are planned for the week, with time set aside for questions and answers. The titles and abstracts of the sessions are available on the event's website. 

Computational Persistence 2022 is organized by Professor Tamal K. Dey, Tao Hou and Abhishek Rathod. 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.