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Predictive Turbulence Modelling of cavitating flows with Data Assimilation and Physics-Informed Machine Learning

Originally an MSc. student, Dhruv converted to a Direct Ph.D. in Spring 2020. His research intends to predict Reynolds Uncertainties in unsteady cavitating flows using data assimilation techniques like Ensemble Kalman Filtering and Physics-Informed Machine Learning. Other than research and academic activities, Dhruv is also a member of the Graduate Student Assembly (GSA) of the Kevin T. Crofton Department of Aerospace and Ocean Engineering, having led the efforts as a student in the 3-Minute Thesis (3MT) competition-2019. In his free time, Dhruv enjoys cooking and reading books.

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Research Areas
  • Data Assimilation

  • Data-driven Turbulence Modelling

  • Hybrid RANS/LES turbulence modeling

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