Shashank Yellapantula

Dr. Shashank Yellapantula is a Senior Scientist at the National Renewable Energy Laboratory (NREL) in the Computational Science Center, where he leads development of exascale application software for wind energy and combustion applications. His work focuses on applying machine learning techniques to improve and augment simulation-based models for industrially relevant flow physics problems.

His educational background includes:

• PhD in Mechanical Engineering from Stanford University
• Master's degree in Mechanical Engineering from Stanford University
• Bachelor's degree in Mechanical Engineering from Sardar Vallabhbhai National Institute of Technology Surat

Dr. Yellapantula's research spans several critical areas in energy and fluid dynamics. His expertise in combustion modeling addresses fundamental challenges in understanding and predicting complex reacting flows. In turbulence modeling, he investigates atmospheric boundary layers with applications to renewable energy systems. His innovative approach to machine learning-based augmentation of simulation models bridges traditional computational methods with modern AI techniques. His work in design of industrial combustion technology has practical implications for cleaner and more efficient energy systems.

His recent publications demonstrate a strong focus on renewable energy technologies, particularly concentrating solar power and wind energy applications. There's a clear trend toward integrating machine learning with traditional simulation methods to solve complex engineering problems across computational fluid dynamics, energy systems, and advanced computational methods.

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)