This workshop will take place May 7-9 (Friday-Sunday), 2021 virtually on Zoom
The aim of the workshop is to bring together a community of researchers in mathematics, computer science and data science 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.
- 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
- Shing-Tung Yau, Harvard University
- Christopher Bishop, Stony Brook
- Keenan Crane, Carnegie Mellon
- Miri Ben-Chen, Technion – Israel Institute of Technology
- Alexander Bobenko, Technische Universität Berlin, Germany
- Ulrike Buecking, Free University, Germany
- Nadav Dym, Duke University
- Ivan Izmestiev, Vienna University of Technology
- Yanwen Luo, Rutgers
- Stephan Tillmann, The University of Sydney
- Max Wardetzky, University of Goettingen
Learn more about the Project on Geometric and Topological Methods for Analyzing Shapes