Kim Liegeois

Freelance - C++ developer for embedded parametric computations
Previously:
PhD student - Computational and stochastic modeling

Dept of Aerospace and Mechanical Engineering - University of Liege

Interests:

HPC
Multiphysics
C++
Python
Tikz

Next talks:

More soon.

Available works:

Liegeois, Kim, et al. "GMRES with embedded ensemble propagation for the efficient solution of parametric linear systems in uncertainty quantification of computational models" (September 2020).
Mertens, Philippe, et al. "On the use of rhodium mirrors for optical diagnostics in ITER." (September 2019).
Liegeois, Kim, et al. "Ensemble propagation for efficient uncertainty quantification: Application to the thermomechanical modeling of a first mirror for the ITER core CXRS diagnostics." (2019).
Liegeois, Kim, et al. "Efficient parametric computations using ensemble propagation for high dimensional finite element models." (2019).
Liegeois, Kim, et al. "Ensemble Propagation for Efficient Uncertainty Quantification of Mechanical Contact Problems." (2019).
Liegeois, Kim, et al. "On the Ensemble Propagation for Efficient Uncertainty Quantification of Mechanical Contact Problems." (2018).
Liegeois, Kim, et al. "Ensemble propagation for efficient uncertainty quantification on emerging architectures: Application to thermomechanical contact." (2017).
More soon.