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Christian Soize

Professor Emeritus, Université Gustave Eiffel, MSME UMR 8208
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Présentation

. Statistical Learning, Probabilistic Learning, Machine Learning, and Nonconvex Optimization Problem. . Uncertainty Quantification, stochastic modeling of uncertainties in computational sciences and engineering, their propagation and their quantification solving stochastic inverse problems. . Stochastic multi-scale modeling and application to microstructures of heterogeneous materials. . Computational science, computational mechanics, linear and nonlinear structural dynamics, structural acoustics, vibroacoustics, and coupled systems. . Computational stochastic dynamics for linear and nonlinear dynamical systems.

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1155755
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Bayesian inference for high-speed train dynamics and speed optimization under uncertainty for energy saving

 Julien Nespoulous , Christian Soize , Christine Fünfschilling , Guillaume Perrin
The 30th edition of the biennial ISMA conference on Noise and Vibration Engineering (ISMA 2022) and The 9th International Conference on Uncertainty in Structural Dynamics, USD 2022, KU Leuven, Sep 2022, Leuven, Belgium. pp.1-6
Communication dans un congrès hal-03799277v1

Uncertainty quantification for high-speed train dynamics modeling and optimization under uncertainties to limit energy consumption

 Julien Nespoulous , Christian Soize , Christine Fünfschilling , Guillaume Perrin
The 15th World Congress of Computational Mechanics (WCCM 2022), Jul 2022, Yokohama, Japan
Communication dans un congrès hal-03749644v1

Robust adaptation of the train speed for energy saving under punctaulity and security constraints

 Julien Nespoulous , Christian Soize , Christine Fünfschilling , Guillaume Perrin
MASCOT-NUM 2022, Jun 2022, Clermont Ferrand, France
Communication dans un congrès hal-03749632v1