Projects And Extracurriculars

Published a Paper in the Journal of Real-Time Image Processing concerning data compression and object detection applied to the problem of pedestrian detection.

Dynamic error-bounded lossy compression to reduce the bandwidth requirement for real-time vision-based pedestrian safety applications

Competed in a virtual competition to run high-performance computing applications in Microsoft Azure.

Student Cluster Competition

This project was for a senior design class in which our team employed object detection, circuit design, path planning techniques, 3D printing, computer-aided design, and creative problem-solving in order to create a robot capable of capturing a tennis ball.

This project was for a senior design class in which we were tasked with creating a system to sort four colors of washers into a configuration of wells. To solve the problem we employed an electromagnet, circuit design, object detection techniques, and PID control theory to sort the washers successfully.