Variational Problems in the Physical and Data Sciences: Analysis, Modeling, and Simulation (26w5514)

Organizers

Ihsan Topaloglu (Virginia Commonwealth University)

Lia Bronsard (McMaster University)

Felix Otto (Max Planck Institute for Mathematics in the Sciences)

Raghavendra Venkatraman (The University of Utah)

Description

The Banff International Research Station will host the "Variational Problems in the Physical and Data Sciences: Analysis, Modeling, and Simulation" workshop in Banff from July 5 to July 10, 2026.


This workshop aims to bring together researchers from diverse fields of applied mathematics to explore the critical role of variational methods in both physical sciences and data sciences. Variational problems are fundamental in modeling natural phenomena and optimizing complex systems. This interdisciplinary workshop will focus on the latest advances in the analysis of physical problems, mathematical aspects of data science, optimization techniques, and computational mathematics, and at the same time celebrate the important contributions of Rustum Choksi at the occasion of his 60th birthday. By bringing together a diverse group of scholars, the workshop will also create a venue for new research directions, innovative solutions, and enhanced computational methods.


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) and Alberta's Technology and Innovation.