CERMICS is the research center in applied mathematics of École nationale des ponts et chaussées. It is a joint research unit with CNRS (UMR 9032). It hosts joint project-teams with Inria Paris and University Gustave Eiffel, and is part of the Bézout CNRS Federation and the doctoral school EDMH. 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. 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 École des Ponts.
Permanent Researchers
ALFONSI,
PROBA
AUBIN,
OPTIM
BERNARD,
MAS
CANCES,
MAS
CHANCELIER,
OPTIM
DELMAS,
PROBA
DE LARA,
OPTIM
EHRLACHER,
MAS
ERN,
MAS
GONTIER,
MAS
GUYON,
PROBA
HAYAT,
MAS
JOURDAIN,
PROBA
LECLERE,
OPTIM
LELIEVRE,
MAS
LE BRIS,
MAS
LISSY,
MAS
MEUNIER,
OPTIM
MONNEAU,
MAS
McRae,
PROBA
PARMENTIER,
OPTIM
PILLAUD-VIVIEN,
PROBA
REYGNER,
PROBA
STOLTZ,
MAS
VAES,
MAS
Cermics Video Presentation
Permanent Researchers videos
Gabriel Stoltz - La physique statistique numérique, c'est quoi ?
Gabriel Stoltz - What is computational statistical physics?
Frédéric Meunier - Discrete Mathematics, Computational social choice, Operations research
Axel Parmentier - Combinatorial optimization, Structured learning, Transport supply chain
Virginie Ehrlacher - Model-order reduction, High-dimensional problems
Amaury Hayat - Smoothing traffic flows, Stabilization of inhomogeneous system and of PDEs
Tony Lelièvre - Deterministic and stochastic analysis, Monte Carlo methods
Gabriel Stoltz - Molecular simulation, Stochastic numerical methods, Scientific computing
Michel De Lara - Stochastic optimization, Control theory, New energy systems
2024 Olympic Games: Sport and Science Teamed Up
La dynamique moléculaire : un microscope numérique pour l’industrie
Les mathématiques pour mieux comprendre la matière
La mécanique quantique, un monde invisible à explorer
Retard de vol : et si l'IA trouvait la solution ?