Turbomachinery Blade Surrogate Modeling using Deep Learning
Leveraging convolutional neural networks for rapid and efficient aerodynamic performance evaluation, offering a faster alternative to traditional CFD solvers in turbo-machinery blade design in the early design cycle.
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Optimal control of quadcopters and robonauts
Developed real-time control systems for a simulated quadcopter and a two-wheeled robot, using a state-space dynamics representation, LQR, and hill-climbing algorithms to optimize performance
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Development of a nytrox-paraffin hybrid rocket engine
Student-led project to develop a hybrid rocket engine using a novel Nytrox-paraffin oxidizer and fuel combination. (Featured on the news!)
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