Undergraduate Research Projects
This page shows the list of students with the research topics I have mentored.
Yiying Zhong
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Mathematical foundation of neural networks and Physics Informed Neural Networks, 2025_Spring
Michael Weagle
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- Ruin Theory (probabilistic analysis of risk management), 2025_Spring
- Optimization Theory and the analysis of the class of PL functions, 2024_Fall
Jahnavi Anand Modi
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- Paper reading; Portfolio Optimization within a Wasserstein Ball (Silvana M.P and Sebastian J., 2023), 2024_Fall
- Stochastic Differential Equations and Black-Scholes Model, 2024_Spring
Shubhankar Tripathy
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Optimizing GPT-PINN_Mathematical Foundations, Shortcomings, and Enhancements, 2024_Fall
Emily Chandran
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Neural Network_Basic theory and function fitting, Spring 2024
Chuong Huynh
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Stochastic partial differential equations, Fall 2023
Adon Osimo
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Bayesian Optimization, Fall 2023
Alexander Ruse
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Generative Diffusion Model, Spring 2023