Shape Analysis, Stochastic Geometric Mechanics and Applied Optimal Transport - with VIDEOs -BIRF workshop -December 9-14 2018 - Banff, Alberta CA
Shape Analysis, Stochastic Mechanics and Optimal Transport
- François-Xavier Vialard (University Paris-Dauphine)
- Martin Bauer (Florida State University)
- Martins Bruveris (Brunel University London)
- Tanya Schmah (University of Ottawa)
- Stefan Sommer (University of Copenhagen)
The Banff International Research Station will host the "Shape Analysis, Stochastic Geometric Mechanics and Applied Optimal Transport" workshop from December 9th to December 14th, 2018.
The comparison and analysis of shapes, whether of organs, cells or engineering structures such as airfoils, pose important mathematical and statistical challenges. Shape analysis has recently seen a tremendous development in both theory and practice, driven by a wide range of applications from biological imaging to fluid dynamics. For example, organ shapes observed in medical images can now be used for diagnostic and prognostic purposes, and optimization of shapes has become an important tool in engineering.
On the theoretical side, recent developments have highlighted the strong connections between shape analysis and the related fields of optimal transport and stochastic geometric mechanics, both very active fields in their own right. The workshop aims to bring together researchers in these three fields, to share methodological developments and open problems, and generally to link and accelerate research in all three fields.
The Banff International Research Station for Mathematical Innovation and Discovery (BIRS) is a collaborative Canada-US-Mexico venture that provides an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station is located at The Banff Centre in Alberta and is supported by Canada's Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional de Ciencia y Tecnología (CONACYT).