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Current
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Current

  • Jad Doghman, PhD (2024-), Postdoctoral Researcher @ LMPS
    high-performance computing, numerical analysis, time-dependent partial differential equations (PDEs)
  • Iván Mendez Cruz, PhD (2024-), Postdoctoral Researcher @ LMPS
    differential/computational geometry, numerical analysis, time-dependent PDEs
  • Thomas Melkior, MS (2023-), PhD Student @ LMPS
    (interdisciplinary collaboration with seismology at ENS Ulm)
    nonlinear shallow water wave (tsunami) dynamics, geophysical modeling, numerical analysis, time-dependent PDEs
  • Victor Matray, MS (2022-), PhD Student @ LMPS
    (industrial collaboration with Safran Tech, the research division of Safran Group)
    2D linear structural dynamics, deep learning (graph neural networks), reduced-order numerical analysis (for non-parametric geometries), time-dependent PDEs
  • Abderrahmane Echaarani (2025), Master's thesis (M2 in computational mechanics, Université Paris-Saclay) @ LMPS
    (industrial collaboration with Safran Tech, the research division of Safran Group)
    3D nonlinear structural dynamics, deep learning (graph neural networks), reduced-order numerical analysis (for non-parametric geometries), time-dependent PDEs
  • Andriy Makaruk (2025), Master's research internship (M1 in mechanics, Institut Polytechnique de Paris) @ LMPS
    shallow water equations, finite volume methods, flood modeling, time-dependent PDEs
  • Simon Gallego (2025), Master's research internship (M1 in mathematics for mechanics, Université Paris-Saclay) @ LMPS
    Burger's equation, shock-capturing for hyperbolic problems, time-dependent PDEs

Former

  • Yu Liu (2023), Université Paris-Saclay Master of Science (M2) thesis in computational mechanics @ LMPS
  • Victor Matray (2022), Université Paris-Saclay Master of Science (M2) thesis in computational mechanics @ LMPS