Personal Profile

Dr. Shashank Yellapantula is a staff scientist in the High Performance Algorithms and Complex Fluids Group in the Computational Science Center where he leads development of exascale application software in wind energy and combustion. He is also actively involved in using Machine Learning techniques to improve and augment simulation based models for industrially relevant flow physics problems. 

Research Interests

Combustion modeling

Design of industrial combustion technology

Turbulence modeling, atmospheric boundary layers

Machine learning-based augmentation of simulation models

Professional Experience

Senior Scientist, NREL (2020–present)

Scientist, NREL (2017–2020)

Lead Research Engineer, GE Global Research (2016–2017)

Research Engineer, GE Global Research (2013–2016)

Education/Academic Qualification

Bachelor, Mechanical Engineering, Sardar Vallabhbhai National Institute of Technology Surat

PhD, Mechanical Engineering, Stanford University

Master, Mechanical Engineering, Stanford University


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Collaborations and Top Research Areas From the Past 5 Years

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