Gyanender Singh
Modeling And Simulation Engineer
Idaho Falls, Idaho, United States
Summary
👤
Senior🎓
Top SchoolGyanender Singh is a Modeling and Simulation Engineer with 11 years of experience applying computational mechanics and heat transfer to predict thermo-mechanical behavior of nuclear fuel and advanced materials. Based at Idaho National Laboratory, he builds and enhances multiphysics models (notably contributing to the widely used MOOSE framework) to study anisotropic heat conduction, plasticity, and creep in reactor components. His background spans postdoctoral and research roles at Oak Ridge and University of Tennessee, where he led interlaboratory testing programs and developed FEM/XFEM-based constitutive models and failure predictions. He combines deep hands-on simulation work in tools like Abaqus and MOOSE with experimental insight from lead tests and resonant ultrasound spectroscopy to validate direction-dependent material properties. Known for translating complex multiphysics phenomena into robust, production-ready kernels, he brings both academic rigor (PhD, University of Minnesota) and practical test-protocol optimization to nuclear materials challenges.
11 years of coding experience
10 years of employment as a software developer
Indian Institute of Technology RoorkeeUniversity of Minnesota Twin Cities
English, Hindi
Github Skills (9)
finite-element-analysis10
c-language10
tensor10
tensorflow10
cprogramming-language10
multiphysics10
modeling10
freefem9
feh9
Programming languages (3)
Github contributions (5)
idaholab/moose
May 2021 - Aug 2022
Multiphysics Object Oriented Simulation Environment
Role in this project:
Back-end Developer
Back-end DeveloperContributions:62 reviews, 3 commits, 11 PRs in 1 year 3 months
Contributions summary:Gyanender contributed extensively to the `idaholab/moose` repository, focusing on enhancements to the heat conduction and tensor mechanics modules. They implemented a new anisotropic heat conduction kernel, updated plasticity models by templating Hill models, and enabled features for computing creep with anisotropic elasticity. Furthermore, they refined the HillElastoPlasticityStressUpdate to enable 3D computations, demonstrating expertise in computational mechanics and material modeling.
pythonfinite-element-analysisfemparallelmultiphysics
singhgp4321/moose
May 2021 - Aug 2024
Multiphysics Object Oriented Simulation Environment
Contributions:72 pushes, 10 branches in 3 years 3 months
pythonmultiphysicssimulationsimulation-environmentobject-oriented
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