Research Projects
Here are some of my research projects over the course of my undergraduate career! The top one is my current research that I am conducting for the AI Scholars Program.
Automated Correction of Distribution Shift in Image-based Controllers
I'm working with Dr. Ivan Ruchkin in the Trustworthy Engineered Autonomy (TEA) lab in the Department of Electrical and Computer Engineering at UF. I have been affiliated with this project since Spring of 2024. For this project, our aim is to automatically correct corrupted images to increase the robustness of image-based controllers for autonomous vehicles. My main responsibilities are directing this project with several other students and conducting literature review before developing a solution.
Uncertainty Quantification for Object Detection Transformers
This summer, I worked with Dr. Navid Azizan in the Laboratory for Information and Decision Systems at the Massachusetts Institute of Technology. There, we worked on uncertainty quantification for the outputs of Object Detection Transformers (DETRs).
Safety Chance Prediction for Image-based Control Using Conformal Prediction
With Dr. Ruchkin in the Trustworthy Engineered Autonomy (TEA) lab, I worked on formulating calibrated safety chance prediction from top-down images of autonomous vehicles. To do this, we utilized the conformal prediction statistical framework. This project spanned from Spring 2023 to Fall 2023, and led to a second-author publication at the 2024 Learning for Decisions and Control (L4DC) conference.
Automated Reverse Engineering of PCBs using X-ray Tomography
With Dr. Forte in the Florida Institute for National Security (FINS), I worked on creating a Python framework for the automatic reverse engineering of PCBs into KiCad design files using X-ray Computed Tomography (CT) scans.
This project spanned from Spring 2023 to Spring 2024, and is currently in review as a first-author publication.