CompPer 2024, Graz, Austria, September 24-27 2024

Michael Kerber writes:
ComPer2024: Computational Persistence Workshop in Graz, Austria

The 4th workshop on Computational Persistence will take place from Sep 23 to Sep 27 in hybrid mode at Graz University of Technology, Austria. This workshop provides a forum to exchange ideas on computational aspects of topological persistence that fertilize advances in topological data analysis.

The schedule will be composed of invited and contributed talks on computational aspects of topological data analysis. Contributed talks can be suggested in the form of an abstract of at most two pages. A scientific committee will check the submissions and make a selection.

We encourage on-site participation, but equally welcome submissions of researchers that attend remotely. To facilitate remote participation from America in particular, the workshop sessions will take place in the afternoon.

Dates:
Deadline for abstracts of contributed talks: June 21, 2024
Notification of acceptance: July 15, 2024

Web-page: https://comper2024.tugraz.at

Submission server: https://easychair.org/conferences/?conf=comper2024

Scientific committee:
Ulrich Bauer (TU Munich)
Tamal Dey (Purdue)
Michael Kerber (Graz University of Technology)
Michael Lesnick (University of Albany)
Elizabeth Munch (Michigan State)

Confirmed invited speakers:
Magnus Botnan (Vrije Universiteit Amsterdam)
Heather Harrington (MPI of Molecular Cell Biology and Genetics, Dresden)
Kathryn Hess-Bellwald (EPFL Lausanne)
Tao Hou (DePaul University)
Clement Maria (INRIA Sophia Antipolis)
Marian Mrozek (Jagiellonian University Krakow)
Steve Oudot (INRIA Saclay)
Anastasios Stefanou (University of Bremen)
Yusu Wang (University of California, San Diego)

Local organizers:
Angel Alonso, Andre Hammer, Kristof Huszar, Jan Jendrysiak, Michael Kerber, Michael Muhr, Florian Russold, Matthias Soels, Esther Zuccato

One thought on “CompPer 2024, Graz, Austria, September 24-27 2024”

Leave a Reply

Your email address will not be published. Required fields are marked *

 

This site uses Akismet to reduce spam. Learn how your comment data is processed.