Dr. Fande Kong is a Computational Scientist (Permanent Position) at Idaho National Laboratory (INL). He developed eigenvalue solvers, preconditioners, and nonlinear solvers for MOOSE-based applications in SLEPc and PETSc. Before joined INL, Fande Kong received his Ph.D. in Computer Science from University of Colorado Boulder in 2016. Fande Kong also received M.S.s in Computer Science and Mathematics from CU-Boulder in 2014, and Xi’an Jiaotong University in 2010, respectively. His research interests include high-performance computing, scientific computing, domain decomposition methods, multigrid/multilevel methods, nonlinear preconditioners, unstructured 3D mesh generation and coarsening, computational fluid dynamics, computational solid mechanics, fluid-structure interactions, and nonlinear eigenvalue solvers.
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