Mandar Tabib
Senior Research Scientist at SINTEF
Trondheim, Trøndelag, Norway
Summary
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Senior🎓
Top SchoolMandar Tabib is a Senior Research Scientist with over a decade of experience specializing in hybrid analytics that fuse machine learning with physics-based CFD for digital twins, process design, and renewable energy applications. Based in Trondheim, he leads projects at SINTEF developing AI-driven wake models, reinforcement learning for wind farm control, drone path-planning under turbulence, and reduced-order models for greenhouse and drilling operations. His work bridges high-fidelity numerical methods (OpenFOAM, Fortran, ANSYS) and modern ML frameworks (TensorFlow, PyTorch, scikit-learn), reflected in 55+ peer-reviewed papers and 900+ citations. Notably, he combines domain-scale CFD multi-physics with generative and reinforcement learning approaches to produce deployable digital twins and operational tools for industry.
8 years of coding experience
BITS Pilani, Birla Institute of Technology and SciencePhD, Computational Fluid Dynamics, PhD, Computational Fluid Dynamics at Institute of Chemical Technology (UICT), MumbaiGithub contributions (5)
sintefmath/GeiloWinterSchool2018
Jan 2018 - Jan 2018
Contributions:21 commits in 19 days
mandar-tabib-1/ROM_Prague
Apr 2024 - Jan 2025
Contributions:35 pushes, 1 branch in 9 months
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