Teaching Assistant for Basic Mechanics II (Summer 2021)Teaching Assistant for Basic Thermodynamics (Fall 2021)Teaching Assistant for ME Design, Innovation and Entrepreneurship (Spring 2022)Teaching Assistant for Machine Design (Fall 2022)

-Analyzed the characteristics of non-equilibrium turbulence such as dissipation coefficient, skewness of the longitudinal derivative and the Lagrangian velocity gradient correlation for the John Hopkins Turbulence data (isotropic turbulence)-Analyzed Unsteady RANS simulation data for a hydrogen-air non-premixed Rotating Detonation Engine during the operational mode transition from single wave to two waves-Implemented the Linear Eddy Model (LEM) for modeling turbulent mixing of passive scalars and validated the results with previous studies

Analysing the effect on the vortex formation of a contra-rotating propeller due to the change in speed of the blades by performing 150 CFD simulations on Ansys Fluent and carefully studying the velocity profiles to interpret the impact on the vortex of the main and tail propellers.

Using machine learning methods to create a data-driven model which can predict the turbulent velocity profile in a circular pipe based on the pressure distribution in the pipe.Performed 1100 CFD simulations of the flow in a circular pipe at different Reynolds Number in Ansys Fluent and created a dataset containing the pressure and velocity data.Training and testing the data using different mathematical models using the Scikit Learn library in Python 3.