Data Assimilation and Reduced Modeling for High Dimensional Problems

CIRM, Luminy, France
July 19-August 27, 2021

List of projects

We are starting to distribute the candidates to each projet but you can still send us an application until June 15.
For that, please fill the pre-registration form.
Deadline to apply: June 11, 2021.

All project teams are now built.

  • Title: Analysis of time series data for safety pharmacology applications.
    Supervisor: D. Lombardi (Inria)
    Students: 3 students.
    Project Description
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  • Title: Metamodeling for metabolic models: application to a PDE model of Salmonella infection
    Supervisors: S. Labarthe, C. Frioux, D. Sherman (Inria)
    Students: 2 students
    Project Description
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  • Title: Computation of the auto-diffusion coefficient of a cross-diffusion system with tensor methods.
    Supervisors: V. Ehrlacher (Ecole des Ponts ParisTech)
    Students: 2 students
    Project Description
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  • Title: A component-based data assimilation strategy with applications to vascular flows
    Supervisors: F. Nobile (EPFL), T. Taddei (Inria)
    Students: 2 students
    Project Description
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  • Title: Resolution of high-dimensional PDEs by means of neural networks and greedy algorithms.
    Supervisors: V. Ehrlacher, O. Mula (Ecole des Ponts ParisTech, Dauphine, Inria)
    Students: 2 students
    Project Description
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  • Title: Measuring prediction uncertainty for approximate solutions to PDEs, and application to the Covid-19 pandemic
    Supervisors: Olga Mula, Angelina Roche, and Robin J. Ryder (U. Paris Dauphine)
    Students: 2 students
    Project Description
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  • Title: Model Order Reduction of 1D nonlinear transport PDEs in porous media
    Supervisors: Guillaume Enchery (IFPEN), Damiano Lombardi (Inria), Olga Mula (Dauphine, Inria)
    Students: 2 students
    Project Description
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  • Title: Deterministic filtering of non-smooth dynamical systems
    Supervisors: Laurent Mertz (NYU Shanghai), Philippe Moireau (Inria)
    Students: 2 students
    Project Description
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  • Title: Tensor Approximation of the pseudo-hessian matrix in second order optimization methods for machine learning
    Supervisors: Quang Huy TRAN (IFPEN)
    Students: 1 student
    Project Description
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  • Title: Data Mining pour l’optimisation des modèles génératifs physiques en dynamique rapide
    Supervisors: Nissrine Akkari (SAFRAN), Fabien Casenave (SAFRAN)
    Students: 2 students
    Project Description
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  • Title: Sampling rare events with generative models
    Supervisors: T. Lelièvre, G. Robin, G. Stoltz (Ecole des Ponts ParisTech)
    Students: 2 students
    Project Description
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  • Title: Model order reduction by spectral gap optimization
    Supervisors: T. Lelièvre, L. Pillaud-Vivien et G. Stoltz (EPFL, Ecole des Ponts ParisTech)
    Students: 2 students
    Project Description
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  • Title: State estimation methods involving physical model corrections. Application to neutronics.
    Supervisors: François Madiot (CEA), Olga Mula (Paris Dauphine, Inria), Tommaso Taddei (Inria)
    Students: 2 students
    Project Description
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  • Title: Optimal Gaussian basis sets for electronic structure calculation
    Supervisors: E. Cancès (Ecole des Ponts ParisTech), G. Dusson (CNRS)
    Students: 4 students
    Project Description