Location
Dates
Presentation
This summer school is an intensive two-week hand on initiative on a variety of selective contemporary mathematical and computational topics in data analysis and imaging. One week focuses on the use of relevant mathematical softwares, algebra and convex geometry in data analysis. The other week covers inverse scattering, X-ray tomography, and data-driven model discovery for dynamical systems.
Official language of the school: English
Administrative and scientific coordinators
Scientific program
Course 1: "Software in Data Analysis", Paul Breiding (Max Planck Institute for Mathematics in the Sciences, Germany)
Course 2: "New Approaches to Inverse Scattering", Houssem Haddar (École Polytechnic Paris, France)
Course 3: "Data-driven Model Discovery and Physics-informed Learning", Nathan Kutz (University of Washington, USA)
Course 4: " 0/1-Polytopes in Algebra, Discrete Geometry and Applications", Tim Römer (Osnabrück University, Germany)
Course 5: "Nonlinear Algebra and Nonlinear Statistics for Networks", Sonja Petrovic (Illinois Institute of Technology, USA)
Course 6: "Invitation to X-ray Tomography", Samuli Siltanen (University of Helsinki, Finland)
Website of the school
How to participate
For registration and application to a CIMPA financial support, follow the instructions given here.
Deadline for registration and application: March 20, 2022