Capstones

A student project

Wearable Monitoring of Exercise Intensity and Its Impact on Sleep Quality and Heart Rate Variability

This project investigates how short-term variations in exercise intensity influence sleep quality and heart rate variability (HRV) using wearable technology. Participants followed a structured ten-day protocol with alternating-day cardiovascular exercise while continuously wearing a device to collect physiological data. By combining wearable-derived metrics with daily sleep surveys, the study evaluates how exercise duration and intensity…

LiDAR Stock Solutions: Automated Inventory Sensing Robot

We created a robot capable of scanning and mapping boxes, and a web-based interface to visualize the warehouse environment to track stock with misplaced and missing inventory being properly recorded and alerts sent out to authorized users. The design utilizes a flagship Sick Picoscan 150 pro lidar and ROS2 network design running off a Raspberry…

Time Domain Reflectometry (TDR) Based Cable Fault Analyzer

This project, completed in partnership with General Dynamics Mission Systems, focuses on developing a device that uses time domain reflectometry (TDR) to detect and locate faults in twisted-pair communication cables used on U.S. Coast Guard Rescue 21 towers. The device combines both custom hardware and software to generate and analyze electrical signals, enabling accurate fault…

Simulating Differential Equations Using FPGA Boards

This project addresses the challenge of visualizing and interacting with chaotic systems—such as the Lorenz attractor and mass-spring-damper models—by implementing them in real time on hardware. The core objective is to design a high-speed numerical engine using a Field Programmable Gate Array (FPGA) that solves ordinary differential equations (ODEs) at tens of thousands of steps…

Synthesizing a RISC-V Microprocessor Capable of Running C programs

Team 7 is developing a RISC-V-compliant microprocessor capable of executing compiled C programs on an FPGA platform. The project aims to bridge the gap between software and reconfigurable logic. The processor will be implemented in SystemVerilog, then synthesized and deployed to an FPGA, where visitors can write their own C code, run it, and observe…

DEVCOM Audio Noise Inverter

Audio Noise Inverter that is capable of taking environmental noise, inverting it, and broadcasting the inverted signal to effectively “cancel” the noise. The project is an exploded desktop circuit that will demonstrate the internal components, software, and real time input/output monitoring. Demo Day Zoom link: https://asu.zoom.us/j/85095903749?pwd=fIYZAzHS8vrRJNob6ejNqHzPakg4Re.1 Video Research poster View the poster Sponsor DEVCOM Soldier…

Lunar Radio Telescope – Radio Frequency (RF) Receiver PCB Design

The team designed and fabricated a prototype analog radio-frequency (RF) electronics module for the FARSIDE lunar radio telescope, a telescope that will be placed on the far side of the moon to detect low-frequency astronomical radio signals in the 100 kHz to 40 MHz range. This node will receive the RF signals from the antennas,…

Wi-Fi Enabled Smart Circuit Breaker

Our capstone project is a Wi-Fi enabled smart circuit breaker designed to improve electrical monitoring, accessibility, and user control in a household system. The system uses sensors and a microcontroller to collect real-time voltage, current, and power data, which is then sent to a desktop application for live display, remote switching, and data logging. Overall,…

MicroGrid Integration Management Unit

The MIMU manages power flow inside a microgrid. It prioritizes local generation and uses the utility power only when needed. It also handles peer-to-peer trading by combining real and reactive power measurements with the exchange rates assigned to each node. The design allows the system to monitor power quality, detect unsafe conditions, and respond with…

SimBrain – Neuromorphic Simulation Framework

Compares traditional and spiking neural networks under realistic hardware conditions. Using IBM’s AIHWKIT simulator, the project measures how analog device imperfections such as RRAM read noise and conductance drift affect model performance. The goal is to quantify the real-world tradeoffs of running neural networks on energy-efficient neuromorphic hardware using a controlled comparison framework. Demo Day…