CERMICS is the research center in applied mathematics of Ecole des Ponts ParisTech. It hosts joint project-teams with Inria Paris and University Gustave Eiffel, and is part of the Bézout CNRS Federation and the doctoral school MSTIC. The acronym CERMICS stands for “Centre d’Enseignement et de Recherche en MathématIques et Calcul Scientifique”, literally “Center for Training and Research in MathematIcs and Scientific Computing”.

Researchers are working in three main areas: Applied Probability; Modeling, Analysis and Simulation; Optimization. The originality of the center lies in its ability to build bridges between deterministic and stochastic approaches and to produce both theoretical results and numerical methods, with strong interactions with industrial partners from various domains (transport, energy, finance, engineering, pharmaceutical companies) and academic scientists from other fields (biology, chemistry, physics and material sciences).

Below are some videos giving some idea of the research done at CERMICS (a general presentation in French, and then short videos of permanent researchers explaining their scientific activity). See the complete playlist. See also the playlist of students at CERMICS presenting their works, and the contributions of CERMICS members to Ingenius, the digital magazine of Ecole des Ponts.

[Recherche - CERMICS] La physique statistique numérique, c'est quoi ?

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[Recherche - CERMICS] La physique statistique numérique, c'est quoi ?

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[Research - CERMICS] What is computational statistical physics?

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[CERMICS] Frédéric Meunier - Discrete Mathematics, Computational social choice, Operations research

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[CERMICS] Axel Parmentier - Combinatorial optimization, Structured learning, Transport supply chain

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[CERMICS] Virginie Ehrlacher - Model-order reduction, High-dimensional problems

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[CERMICS] Amaury Hayat - Smoothing traffic flows, Stabilization of inhomogeneous system and of PDEs

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[CERMICS] Tony Lelièvre - Deterministic and stochastic analysis, Monte Carlo methods

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[CERMICS] Gabriel Stoltz - Molecular simulation, Stochastic numerical methods, Scientific computing

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[CERMICS] Michel De Lara - Stochastic optimization, Control theory, New energy systems

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EELISA Innovation Talks #17 - 2024 Olympic Games: Sport and Science Teamed Up

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[Recherche - CERMICS] Présentation du laboratoire