Guoyi Ke
PHD Student at University of kansas
Lawrence, Kansas, United States
Summary
👤
Senior🎓
Top SchoolGuoyi Ke is a PhD student and computational scientist with 11 years of experience specializing in CFD, numerical algorithms, and computational outdoor acoustics. Based at the University of Kansas, he builds high-order, MPI-parallel C++ and CUDA-accelerated codes for time-domain linearized Euler equations, immersed boundaries, and turbulence-coupled acoustic propagation in complex environments. His work ranges from implementing WENO and DG schemes to Roe/MUSCL finite-volume solvers on unstructured grids, and he has demonstrated scalable performance on Linux clusters up to 256 cores. Notably, he explored moving zonal methods for long-range acoustic propagation and coupled quasi-wavelet turbulence models to reveal turbulence effects on high-frequency scattering. Trained in fluid mechanics at Shanghai Jiaotong University, he blends rigorous numerical analysis with practical HPC engineering to tackle real-world outdoor sound and flow problems.
11 years of coding experience
PHD, CFD, Numerical algorithms, Computational outdoor acoustics, PHD, CFD, Numerical algorithms, Computational outdoor acoustics at University of KansasMaster's degree, Fluid Mechanics, Master's degree, Fluid Mechanics at Shanghai Jiaotong University,
Github Skills (17)
simulation9
mesh9
fenics9
refinement9
mechanics9
structural-engineering9
hydrodynamics8
amr8
snl-applications8
physics8
computational-physics8
computational-science8
petsc7
multiphysics7
python7
Programming languages (1)
Github contributions (4)
coyigg/femus
Oct 2015 - Nov 2019
Contributions:8 PRs, 192 pushes, 13 branches in 4 years 1 month
multigridmeshpythonrefinementselective
NumPDEClassTTU/femus
Feb 2015 - Aug 2015
Contributions:2 pushes, 1 branch in 6 months
multigridmeshpythonrefinementselective
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