Dr. Hemanth Chandravamsi is a postdoctoral fellow at Johns Hopkins University, specializing in the development of numerical algorithms, machine learning models, and high-performance computational tools for solving forward and inverse problems in fluid dynamics. His research addresses fundamental and applied challenges in engineering, with applications spanning aerodynamics, high-speed propulsion systems, and aeroacoustics.

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