FRG Workshop on Geometric Methods for Analyzing Discrete Shapes
Harvard University, May 7-9 (Friday-Sunday), 2021
David Glickenstein (University of Arizona)
Joel Hass (University of California, Davis)
Patrice Koehl (University of California, Davis)
Feng Luo (Rutgers University, New Brunswick)
Tianqi Wu (Harvard University)
S.-T. Yau (Harvard University)
The aim of the workshop is to bring together a community of researchers in mathematics, computer science and date sciences who develop theoretical and computational models to characterize shapes and analysis of image data.
This workshop is part of the NSF FRG project: Geometric and Topological Methods for Analyzing Shapes.
The first half of the workshop will feature talks aimed at graduate students, newcomers and broad spectrum of audiences. Christopher Bishop (Stony Brook) and Keenan Crane (Carnegie Mellon) will each give two featured talks. The remaining part will have both background and research talks. There will also be organized discussions of open problems and potential applications.
Christopher Bishop, Stony Brook
Keenan Crane, Carnegie Mellon
Miri Ben-Chen, Technion – Israel Institute of Technology
Bobenko, Technische Universität Berlin, Germany
Ulrike Buecking, Free University, Germany
Nadav Dym, Duke University
Ivan Izmestiev, Vienna University of Technology
Yanwen Luo, Rutgers
The organizers will decide if the workshop will run virtually at the beginning of Jan. 2021.
We are grateful to the National Science Foundation for supporting this workshop through the
NSF FRG program.
Code of conduct policy
Please take note of the
NSF Code-of-Conduct Policy