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Serge Prudhomme
Dipl. Ing. (EC Lille), M.Sc. (University of Virginia), Ph.D. (UT Austin)

Research interests and affiliations

Research interests
  • Computational engineering and science; 
  • Finite Element methods; 
  • A posteriori error estimation and adaptive methods; 
  • Multiscale modeling; 
  • Methods of verification and validation for predictive modeling; 
  • Uncertainty quantification; 
  • Reduced-order modeling.
Expertise type(s) (NSERC subjects)
  • 2107 Modelling, simulation and finite element methods
  • 2203 Modelling, simulation
  • 2951 Continuum mechanics
  • 2955 Numerical analysis
  • 2960 Mathematical modelling

Publications

Recent publications
Journal article
Diehl, P., Prudhomme, S. & Lévesque, M. (2019). A Review of Benchmark Experiments for the Validation of Peridynamics Models. Journal of Peridynamics and Nonlocal Modeling, 1(1), 14-35. Retrieved from https://doi.org/10.1007/s42102-018-0004-x
Journal article
Garg, V.V. & Prudhomme, S. (2019). Enhanced functional evaluation for the finite element penalty method. Computers and Mathematics with Applications, 78(12), 3821-3840. Retrieved from https://doi.org/10.1016/j.camwa.2019.06.001
Journal article
Kergrene, K., Chamoin, L., Laforest, M. & Prudhomme, S. (2019). On a Goal-Oriented Version of the Proper Generalized Decomposition Method. Journal of Scientific Computing, 81(1), 92-111. Retrieved from https://doi.org/10.1007/s10915-019-00918-1
Conference paper
Laberge, G., Shirzad, S., Diehl, P., Kaiser, H., Prudhomme, S. & Lemoine, A. (2019). Scheduling Optimization of Parallel Linear Algebra Algorithms Using Supervised Learning. Paper presented at the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC 2019), Denver, CO, USA (pp. 31-43). Retrieved from https://doi.org/10.1109/MLHPC49564.2019.00009

Supervision at Polytechnique

COMPLETED

  • Ph.D. Thesis (1)

    • Kergrene, K. (2018). A goal-oriented finite element method and its extension to pgd reduced-order modeling (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/3753/
  • Master's Thesis (3)

    • Dahito, M.-A. (2018). La méthode des résidus conjugués pour calculer les directions en optimisation continue (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/3281/
    • Schmidt, A. (2018). On Delamination Crack Detection in Carbon Fiber Reinforced Polymers Using Electrical Impedance Tomography and Supervised Learning (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/3710/
    • Paquette-Rufiange, A. (2017). Optimisation adaptative de la topologie de lattices produits par fabrication additive (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2744/