The 2024 Senior Capstone course in electrical engineering was taught by Sesh Commuri. To learn more about the electrical engineering projects, please email Sesh Commuri.
From electromagnetics to biosensors to smart grids, we're on the cutting-edge of electrical and biomedical engineering research and training our students to be successful leaders in the field. Visit the Department of Electrical & Biomedical Engineering.
Explore student projects in electrical engineering.
Students: Aleena Kureekattil , Helene Henry-Greard, Jordan Ledesma
The creation of the Soleil Band introduces a wearable UV exposure monitoring device for individuals monitoring sun damage. The Soleil Band will provide real-time UV intensity data and translate it into actionable sunscreen reapplication alerts. Data from the band will be transmitted to an app that will track how long a customer is under a certain UV index and when they should be reapplying their sunscreen to help stay protected. This piece of technology will help bridge the gap between awareness and behavior when it comes to UV radiation and the harm it does to human skin.
Students: Abby Battaglia, Max Dunlay, Alex Fiore, Hannah Minucci
The WatchLi-Ion is a battery protection system intended for consumer electronics which utilize Lithium-Ion (Li-Ion) batteries for power storage. Under certain conditions these batteries can enter what is called thermal runaway, where they can become superheated, release flammable gas, and ultimately combust causing damage and presenting hazards to users. In order to remedy this significant issue, our team has developed a system called the WatchLi-Ion. This system can be attached to Li-Ion batteries and provide monitoring of the battery's operational conditions. In the event that hazardous conditions are detected, the WatchLi-Ion will disconnect the battery from the rest of the circuit and alert the user that there is an issue with the battery, effectively preventing thermal runaway before it happens. The WatchLi-Ion utilizes a microcontroller and sensors that monitor heat, current, pressure, and the release of flammable gas. With this system our team hopes to provide a solution to a glaring issue impacting Li-Ion batteries and provide peace of mind to the consumer.
Pictured from left to right: Sofia Ahlstedt, Emely Zecena-Romero, Joe Antrim, Joanna Nemitz
Students: Joanna Nemitz, Joe Antrim, Sofia Ahlstedt, Emely Zecena-Romero
Asthma is the most common childhood disease, with approximately five million children in the United States affected by it. Asthma attacks in children cause more than 10 million missing school days and 767,000 trips to the emergency room every year. That number can be reduced with better tools for children and parents to manage asthma attacks so that they do not get so severe that a hospital trip is required. Young children who are learning to manage their symptoms are not always able to identify an oncoming attack. Asthma attacks are characterized by wheezing, coughing, shortness of breath, and in severe cases, low blood oxygen saturation. Coughing and shortness of breath are incredibly common symptoms that can be symptoms of other extremely common conditions, including overexertion from exercise. A child may not recognize the symptoms of an oncoming attack as any different than a mild cold or simply being out of breath from running. The LungLink device will offer a convenient tool to alert the user of an oncoming attack.
Students: Ethan Hanson, Nelson Lemus, Anthony Goforth, Alex Humphrey
CircuitShield redefines power safety as an advanced, active management system rather than a passive protector. By combining real-time current sensing with intelligent relay controls, it creates a self-aware power environment that proactively isolates circuits at the first sign of an overload. This seamless integration of hardware and monitoring allows for the prevention of fire hazards and equipment failure before they happen. It is more than a power strip-it is a smart isolation system designed to protect both the user's hardware and their peace of mind through constant, autonomous vigilance.
Students: Lucas Adams, Nathan Coffman, Manav Dudhia, Rhea Janofsky-Clark
Resistrak is a smart resistance band handle designed to bring real-time performance tracking to strength training. Using an integrated load cell and wireless Bluetooth communication, the device measures the force applied during exercises and transmits the data to a computer application for analysis and visualization. The system processes the signal to detect repetitions, calculate performance metrics, and generate session summaries, allowing users to monitor progress over time. By combining affordable sensors, embedded electronics, and custom software, Resistrak transforms traditional resistance bands into a data-driven training tool. The goal of the project is to make strength training with resistance bands more measurable, engaging, and effective for athletes, fitness enthusiasts, and rehabilitation users.
Students: Shaun Mathew, Hunter Matthies, Sophia Bustos, Zachary Troutman
The purpose of Guardian Jacket is to provide safety, comfort, and security to motorcyclists and cyclists when on the road with other vehicles. The Guardian Jacket will include 360º of visibility along with head and taillights to make the cyclists more visible on the road and decrease the rate of accidents due to poor visibility. It will also incorporate crash detection and a messaging system that could increase the response rate to cyclists who have been involved in a single vehicle or multi-vehicle crash. This system also includes wireless turn signals that work simultaneously with blind spot monitoring. The addition of heating pads will also keep the rider comfortable and help to eliminate the weather from causing uncomfortable conditions for the rider.
Students: Nikhil Anil, Kailani Alarcon , Jerard Cabeguin, Jose De Jesus Soto
Maintaining continuous fluid delivery is critical in high-stakes clinical settings, yet IV occlusions often go unnoticed until complications arise. This innovative detection system bridges the gap between patient safety and operational efficiency. Designed specifically for the fast-paced environment of modern healthcare, it provides an instant, sterile solution for identifying line blockages before they compromise patient care.
Students: Jose Huerta, Jack Garbe, Micah Millarhood
The Smart Compression Sleeve is a wearable device designed to deliver medical-grade compression therapy with real-time feedback, helping address the lack of quantitative monitoring in current compression treatments. By combining soft-textile engineering with low-power embedded systems, the project integrates flexible pressure sensors directly into a calf-high garment and converts their readings into standardized mmHg measurements using an ESP32-C3 microcontroller. This approach supports more accurate, consistent compression while accounting for signal noise and material variability. The project also has strong potential impact, as chronic venous insufficiency affects an estimated 5-30% of adults, deep vein thrombosis contributes to millions of cases worldwide each year, and poor adherence often limits the benefits of compression therapy. By improving monitoring and user awareness, the Smart Compression Sleeve could support better treatment outcomes, reduce hospital readmissions, and expand applications in athletic recovery and sports science.
Students: Joey Lewis, Emily Cuellar, Ryan Noriega
FaultTech is a low-cost, edge-based corona detection system designed to identify early signs of transmission line degradation before they lead to larger failures. The prototype uses a Raspberry Pi 5 to integrate three sensing methods: a solar-blind UVC photodiode for ultraviolet detection, an acoustic sensor for corona-related noise, and an AI camera for visual inspection of insulators and conductors. By combining these data sources through sensor fusion, the system improves detection reliability and reduces false positives. FaultTech is intended as a scalable alternative to expensive proprietary systems and labor-intensive manual inspections, with the goal of improving grid reliability, lowering maintenance costs, and supporting preventative maintenance.
Students: Cade Ball, Kieran Kentley, Calvin Lu, Conner Mcdonald
Offlink is a portable, battery-powered private network designed for emergency situations where internet and cellular systems fail. It enables first responders to securely collect, store, and transfer patient information in real time during disasters, blackouts, or remote operations. By creating a self-contained encrypted communication system, Offlink removes dependence on external infrastructure and reduces delays in triage coordination. The platform improves situational awareness, protects sensitive data, and supports faster decision-making in high-stress environments. While designed for emergency response, it can also be adapted for secure asset tracking and off-grid operations in other industries.
Students: Hunter Arends, Randall Cheng, Adriano Bautista, Miguel Rivera,
Ippo Punch is a smart punching bag system allowing the user to track their force, accuracy, and reaction time. It also provides training regiments to improve at combat sports and give a fun exercise experience.
Students: David Whilden, James Tracy, Sean Crum, Chris Sexton
Archers and bowhunters frequently lose arrows during practice and in the field, resulting in significant seasonal costs and frustration. Apollo Archery Systems is developing an RF-enabled arrow tracking system designed to help archers quickly and reliably recover their lost arrows after being shot. Our system uses a compact transmitter embedded in the arrow and a handheld receiver that guides the user to the arrow's location. The Trackable Arrow is built to function in challenging recovery environments such as dense vegetation, snow, and uneven terrain where visual detection is difficult or impossible. By improving arrow recovery rates, our system reduces equipment loss, saves time, and enhances overall confidence for archers in both target practice and hunting applications. Apollo Archery Systems aims to provide a practical, cost-effective proof of concept that demonstrates reliable RF tracking performance while maintaining compatibility with standard archery equipment.
Students: Seth Begonia, Knight Fevella-Potes, Jose Pacheco, Javier Correa-Martinez
The issue with modern day effects pedals is that they are expensive, difficult to manage, and complicated to set up. This makes for an unfavorable user experience. These issues with modern day effects pedals reduce accessibility to amateur and hobbyist musicians, inhibiting artist creativity, and can discourage people from pursuing or continuing playing the electric guitar. The goal of W.A.V.E.S. is to lower the barrier to entry of those wanting to play the electric guitar and increase the ease of use of effects of pedals. W.A.V.E.S. is a wireless transmission with minimal to no lag and noise, four distinct applicable effects that will modulate and manipulate the original audio waveform of the electric guitar that can be used in combination simultaneously, and an easy to use user interface that will allow the user to control which effects are being implemented and the strength of each effect being applied.
Students: Brendan O'Brien, Zinat Namira, Peter Rengal, Carson McClintick
Our team is developing a proof-of-concept pair of AI-powered glasses designed to assist individuals with visual impairments by detecting nearby objects in real time. Using an embedded camera and computer vision technology, the system identifies common obstacles and environmental features such as doors, people, furniture, and other hazards. When an object is detected, the glasses provide immediate audio feedback through connected headphones, allowing the user to better understand their surroundings and navigate safely. The goal of this project is to demonstrate how compact, wearable technology can combine artificial intelligence and accessible design to enhance independence for individuals with limited vision. By integrating object detection and real-time processing our prototype highlights the potential for affordable assistive devices that improve everyday mobility and awareness.
Students: Brett Hopkins, Khoa Minh Do, Ibrahim Khondoker, Ian Goff, Luke Bowler
The Open Radio Interferometry project aims to solve the complexities of radio astronomy by providing an affordable, open-source, plug-and-play solution. Traditionally, radio interferometers cost upwards of $20,000, are highly difficult to operate, and are gatekept by proprietary agreements. This creates an unsustainable barrier to entry for students, educators, and smaller research groups. Our project democratizes access to astrophysical exploration utilizing off-the-shelf components. The system features a central processing engine based on a Xilinx Zynq SoC and an FMCOMMS5 transceiver, supporting four radio telescope receivers. To eliminate deep technical overhead, users are supported by a Python-based software workflow that automatically handles multi-channel receiving, FX correlation, calibration, and CLEAN image synthesis. With a user-friendly GUI and astronomy-standard FITS file formatting, per-channel spectrograms and synthesized celestial images are easily generated. By streamlining both hardware deployment and data processing, this platform enables hands-on observation of phenomena like 1.4 GHz galactic hydrogen line emissions without having to overcome the technical complexities of radio interferometry.
