Past programs

Program 2023 :
Sept. 21th : Proof assistant - Nicolas MAGAUD and Christine PAULIN-MOHRING
Oct. 5th-19th : Kirkman problem and statistical design of experiments - Frédéric BERTRAND and Pierre GUILLOT
Oct. 5th-19th : Data assimilation and medical applications - Stéphane COTIN and Stéphanie SALMON
Nov. 9th : Equilibria in astrophysics and fluid dynamics - Hubert BATY and Victor-Michel DANSAC
Nov. 16th : Algebraic geometry and visualization - Laurent BUSÉ and Jean-Michel DISCHLER
Nov. 23th : Discrete differential geometry and applications - Franck HETROY-WHEELER and Mathieu DESBRUN
Dec. 7th : Transport equations in galactic dynamics and plasma physics - Benoît FAMAEY and Éric SONNENDRÜCKER

Program 2022 :
Sept. 08th : Erhart polynomials and code optimization - Philippe CLAUSS and Thomas DELZANT
Sept. 22nd : Drums shape and room acoustics - Antoine DELEFORGE and Yannick PRIVAT
Oct. 06th : Dynamical systems and astrophysics - Giacomo MONARI and Ana RECHTMAN
Oct. 22nd : Causal inference and applications - Marianne CLAUSEL and Etienne BIRMELE
Nov. 10th : Elliptic curves, symbolic proofs and electronic vote - Véronique CORTIER and Pierrick GAUDRY
Nov. 24th : On mesh generation - Frédéric ALAUZET and Pierre KRAEMER
Dec. 08th : Fluid flow simulation and multi-scale spray modelling - Agathe CHOUIPPE and Marc MASSOT

Program 2021 :
Sept. 09th : Discrete differential geometry and applications - Franck HETROY-WHEELER and Mathieu DESBRUN
Sept. 23rd : Symplectic geometry and astrophysics - Rodrigo IBATA and Alexandru OANCEA
Oct. 07th : Turbulence, aeronautics and fluid-particle dynamics - Abderhamane MAROUF and Markus UHLMANN
Oct. 21th : Lung ventilation modelling and high performance computing - Céline GRANDMONT and Hugo LECLERC
Nov. 04th : Discrete geometry for images and point clouds - Etienne BAUDRIER and Quentin MERIGOT
Nov. 18th : Wavelets and astrophysics - Erwan ALLYS and Philippe HELLUY
Dec. 02nd : Optimal transport and astrophysics - Nicolas JUILLET and Bruno LEVY

26/08/2024 - 30/08/2024 : New trends in Computing

Introduction to quantum computing - Miriam BACKENS (INRIA, Université de Lorraine) 
Introduction to high-performance computing - Matthieu BOILEAU (CNRS, Université de Strasbourg)  
Kernel methods on GPUs and applications - Benjamin CHARLIER (Université de Montpellier) 
Scheduling on heterogeneous machines - Lionel EYRAUD-DUBOIS (INRIA, Université de Bordeaux)  
Parallel-in-time numerical methods and applications - Sever HIRSTOAGA (INRIA, Paris) 
Parallelization and optimization in the Computational Fluid Dynamics context -Philippe PERNAUDEAU (Université de Poitiers)
Urban building project - Christophe PRUD'HOMME (Université de Strasbourg)

Organizers:

• Agathe Chouippe (ICUBE, Université de Strasbourg)
• Bérenger Bramas (ICUBE, Université de Strasbourg)
• Laurène Hume (ITI IRMIA++, Université de Strasbourg)
• Laurent Navoret (IRMA, Université de Strasbourg)

28/08/2023 - 01/09/2023 : Geometry and Data

Optimal transport for data analysis - Laetitia CHAPEL (Université de Bretagne Sud) 
Shape analysis - Joan GLAUNES (Université Paris Cité) 
Topological methods for astrophysical data - Katarina KRALJIC (Observatoire Astronomique de Strasbourg)
Nonlinear, Geometric Reduced Models for Forward and Inverse Problems - Olga MULA (TU Eindhoven) 
Geometric transformations on digital images - Phuc NGO (Université de Lorraine)
Coverage of astronomical datasets - Sébastien DERRIERE (Observatoire Astronomique de Strasbourg)
Multi-scale modeling of natural images with stochastic geometry - Sixin ZHANG (Université de Toulouse)

Organizers:

• Etienne Baudrier (ICUBE, Université de Strasbourg)
• Jonathan Freundlich (Observatoire Astronomique de Strasbourg)
• Laurène Hume (ITI IRMIA++, Université de Strasbourg)
• Laurent Navoret (IRMA, Université de Strasbourg)
• Emmanuel Opshtein (IRMA, Université de Strasbourg)

29/08/2022 - 02/09/2022 : Deep Learning and Applications

Introduction to Deep Learning - Léo BOIS (Université de Strasbourg)
Convolutional Neural Networks for object dectection: fast and accurate results with the YOLO (You Only Look Once) method - David CORNU (Observatoire de Paris)
Generative models for images - Bruno GALERNE (Université d'Orléans)
Deep Learning and dynamical systems: applications in neuroimaging - François ROUSSEAU (IMT Atlantique)
Introduction to deep learning on graphs - Samuel VAITER (CNRS, Université Côté d'Azur)
Rodrigo IBATA (Observatoire Astronomique de Strasbourg)
Nicolas PADOY (IHU, Université de Strasbourg)

Organizers:

• Clémentine Courtès (IRMA, Université de Strasbourg)
• Sylvain Faisan (ICUBE, Université de Strasbourg)
• Jonathan Freundlich (Observatoire Astronomique de Strasbourg)
• Laurène Hume (ITI IRMIA++, Université de Strasbourg)
• Laurent Navoret (IRMA, Université de Strasbourg)