This project focuses on designing and optimizing a high-efficiency running shoe sole pod that maximizes energy return. The team is conducting detailed research into pod geometry, material behavior, and energy storage mechanisms to create a system that significantly outperforms traditional foam soles. Using COMSOL and MATLAB, the team models the hyperelastic deformation and fluid-structure interactions within the pod to predict how it will behave under realistic forces during running.

The ocean is undoubtedly the least explored biome on planet earth. These shortcomings in research and exploration of marine biodiversity in our local waters can be attributed to the high costs of daily surveying. To address this, NOAA has tasked our team with the design, construction, and testing of a proof of concept for an environmental DNA sampler.

For over 70,000 people worldwide, a simple breath feels like a battle. This is the reality for patients suffering from cystic fibrosis (CF), especially in developing countries where access to life-saving devices is almost nonexistent. We’ve created an affordable solution: a therapy vest that costs just 3% of the current price—less than $500. Powered by $10 eccentric rotating mass motors and built with an open-source design, this vest isn’t just affordable—it’s accessible.

The objective of this capstone project is to develop a Wafer-Based Wireless Thermal Sensor Array—a compact, high-accuracy system designed to mount directly onto a wafer to measure temperature in real-time and wirelessly transmit data to a user-accessible interface. This system addresses a critical challenge in Google Quantum AI’s chip fabrication process, where maintaining strict thermal uniformity is essential.

Endoscopic surgery requires the highest level of reliability for its instruments, including the camera and the software, but in rare cases, bugs can occur that disrupt the surgeon’s view of the body part in operation. Our team has created an application that can automatically detect and classify when such an error has occurred, video capture the error, and save it for post-procedure viewing. Engineers can then view the error to figure out what might have caused it.

ScoutiFi is a cutting-edge unmanned ground vehicle designed to push the boundaries of autonomous systems by integrating advanced context inference, computer vision, and WiFi-based sensing technologies into a single platform. Designed to navigate challenging, unknown environments, ScoutiFi can recognize human activities and emotional states and even "see" through walls using radio frequency signals to determine human activity beyond its line of sight.

Our project focuses on the development and implementation of autonomous driving algorithms on a 1/10 scale open-source self-driving vehicle designed for education and research. Utilizing Robot Operating System (ROS), our project integrates modules for sensing, decision-making, and control to enable real-time navigation and obstacle avoidance.