Van-Dang NGUYEN has obtained a Ph.D. in Applied Mathematics from Ecole Polytechnique, France since 2014 and he is currently pursuing a second Ph.D. in Computer Science at KTH Royal Institute of Technology, Sweden. With expertise and 8+ years experience in Applied Mathematics and Computer Science, his main focus is to develop and implement robust numerical methods for scientific and industrial problems such as diffusion MRI, wave propagation, CFD, and electromagnetism. Research keywords: Continuous Galerkin, Discontinuous Galerkin, LSFEM, XFEM, PUFEM, interface problems, high-performance/adaptive FEM, Manifolds, Computational diffusion MRI, Computational fluid dynamics, Wave propagation, Computational electromagnetism, Bloch-Torrey equation, Navier-Stokes equations, Maxwell's equations, Turbulence simulation, Cloud Computing, Machine Learning.
Courses and Programs taught by Van-Dang Nguyen
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