KIM HAN TRINH

Welcome to my webpage !!! Currently, I am a PhD student at IRMAR, University of Rennes, under supervision of Prof. Francis Filbet and Prof. Luis Miguel Rodrigues . My PhD topic is about the numerical simulations of Vlasov-Poisson system with external magnetic field, using the PIC (Particle-In-Cell) framework. Detail  

In 2023, I completed my master in Fundamental mathematics program at University of Rennes, and did internship with Prof. Francis Filbet and Prof. Luis Miguel Rodrigues at IMT, University of Toulouse. 

In 2018, I graduated in the honor bachelor program of Mathematics and Computer Science at Ho Chi Minh University of Science, Vietnam National University.

With a background in applied mathematics, numerical simulation, scientific computing, and high-performance computing (HPC), I am particularly enthusiastic about contributing to projects involving computational physics, plasma physics, numerical simulation, and high-performance computing (HPC).

• Scientific computing, HPC with strong mathematics and scientific computing backgrounds in high-performance computing, numerical simulation, plasma physics, and scientific software development.

• Expertise in large-scale simulations, parallel computing, and mathematical modeling, with both academic and industrial research experience.

• Experienced in C++, MPI, OpenMP, numerical methods for PDEs, particle methods, and machine learning approaches for physics-based systems.

• High performing computing (MPI, OpenMP, CUDA) to increase computational speed,

• Machine learning, AI for mathematical problems,

• Numerical methods (FEM, FDM, FVM, PIC),

• Plasma physics, CFD, turbulence flows, fluid-structure interaction.

• Programming: C++, Python, Fortran, MATLAB, R,

• Parallel Computing: MPI, OpenMP, CUDA, MUMPS (sparse direct solver),

• Scientific Computing: FEM, FDM, FVM, spectral methods, PIC methods,

• Tools: Abaqus, LaTeX, Linux/macOS, HPC environments.

•  Contact me: kim-han.trinh@univ-rennes.fr   trinh_kim.han@math.univ-toulouse.fr   tkhan300696@gmail.com 

• ResearchGate GoogleScholar 

Institut de Recherche Mathématique de Rennes 

Université de Rennes 1 - Campus de Beaulieu - Bâtiment 22/23

263 avenue du Général Leclerc

35042 Rennes Cedex