Sanath Keshav is a PhD researcher at the University of Stuttgart who builds high-fidelity engineering simulations and applies scientific machine learning to data-driven mechanics. With 11 years of research experience across top HPC centers—SimTech, Barcelona Supercomputing Center, Vienna Scientific Cluster—and strong foundations from BITS Pilani and an Erasmus Mundus master, he specializes in multiscale computational methods like Fourier-Accelerated Nodal Solvers and adjoint-based optimization for CFD. He blends hands-on high-performance MPI+OpenMP development with theoretical work on homogenization and conservation laws, enabling scalable solutions for image-based heterogeneous materials. Notably, his trajectory includes competitive research internships and scholarship-awarded projects linking granular matter theory, turbomachinery, and virtual element methods, reflecting an unusual mix of applied maths and production-level HPC.
11 years of coding experience
BITS Pilani, Birla Institute of Technology and Science
Master's degree, Computational Mechanics of Materials and Structures (COMMAS), 1.2 (German Scale), Master's degree, Computational Mechanics of Materials and Structures (COMMAS), 1.2 (German Scale) at University of Stuttgart
Contributions:15 commits, 22 pushes, 1 branch in 2 months
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