Miracle Travel Works Application Processing Program
Sponsors: Miracle Travel Works, Matthew Patitz
Miracle Travel Works, a nonprofit supporting families with children who have chronic or congenital medical issues, currently relies on a slow, manual email process for travel reimbursement applications. This project aims to implement a web-based solution that automates the application, approval, and reimbursement process, improving user experience, transparency, and efficiency. By replacing email-based submissions with a secure portal for expense tracking and automated communication, the system will reduce administrative costs, streamline approvals, and accelerate reimbursements—allowing Miracle Travel Works to better fulfill its mission of helping families access medical treatment faster.
Team Members: Zachary Bergin, Antonio Chipollini, Eric Moises Iglesias-Sanchez, Caleb Jones, Sarim Khan, Daniel Parker
Arkansas Space Grant Consortium Autonomous Vehicle Challenge
Sponsor: Robert Saunders
The Arkansas Space Grant Consortium hosts the Autonomous Vehicle Challenge every year. The goal of the competition is to have a fully autonomous vehicle navigate a randomized obstacle course. The MEEG students will build the chassis of the vehicle. The ELEG students will be responsible for supplying power and connection between the motors of the car and the onboard computer. The CSCE students are responsible for providing a program that can navigate the course without any outside assistance.
Team Members:Nicholas DeVilliers, Haden Fowler, Kacey Haws, Dillon Hines, Gabriel Kincade, Joseph Wilkin
BYOSim: A Software Platform for Modular, Multiscale Simulations of Large, Complex Biological Systems
Sponsors: Leonard Harris, BMEG
This project involves continuing work on BYOSim, a framework for running complex biological simulations. Systems in biology have many layers that work together, each one operating at different scales and speeds. BYOSim deals with this by running separate modules that each simulate a component of the overall biological process, allowing them to interact despite the difference in scales. We are building off of the existing BYOSim framework and implementing systems which allow for performance improvements and ensuring synchronization between the modules, as well as improving its UI and creating a complex test case for it out of existing biological simulations.
Team Members: Alexander Brasher, Frederick Bumgarner, Logan DeLoach, Seth Howard, Trenton Laughlin
CGI Data Center Environmental Sensors
Sponsors: Dale Scott LeComte, Mike Patterson, Mike Linstrom, John Vergano
We are working with CGI to develop environmental sensors that monitor conditions in large data centers. The sensors are designed to alert when any abnormalities in the environmental conditions are detected. All current and historical recorded data will be accessible through a frontend interface.
Team Members: Chase Hudak, Justin Mach, Isabella Martinez, Ethan Moss, Jameson Thomas
IV Alarms Prioritization System
Sponsors: Morten Jensen, Sai Puvvada
The problem we have tackled is IV alarm fatigue and desensitizing in hospitals. nurses are exposed to hundreds of alarms a day, which can vary from low to high priorities, and come from different rooms. This constant exposure can lead to desensitization, potentially resulting in crucial emergencies being overlooked. We’ve developed a solution, centered around a Raspberry Pi with an integrated microphone, designed for attachment to each IV pump within the hospital. Nurses will be given a monitor that will be located in a centralized location for all nursing staff. Our product then detects alarms being emitted from the hospitals IV pumps, and rather than requiring nurses to manually locate and assess each alarm’s priority, our product simply notifies all nurses on the centralized monitor. This enables rapid and appropriate responses and improves patient safety. We were able to achieve this solution with the BMEG team’s hardware working on the CSCE team’s software. We hope to help hospitals and promote safety with accuracy.
Team Members: Kristen Babbitt, Rafael Balassiano, Reese Breeling, Cali Brewer, Josh Workman, Nathan Liu, Victor McAda, Sai Puvvada, Luis Ramirez, Jose Ramirez
ESD Latch-up Detection Desktop Application
Spondor: Zhong Chen
Our application interfaces with a test board developed by an ELEG senior design team in order to record data leading up to, during, and after different latch-up scenarios on CMOS integrated circuits. It will allow for graphing, saving, and loading of data received from the board, along with the ability to control the board itself from the application.
Team Members: Gavin Edens, Kile Harvey, Luke Simmons, Carl von Bergen
Gate Mate
Sponsors: Timothy White, Christopher Henry
Our client, a former rice farmer, aims to reinvent the levee gate to make automation more affordable and conserve irrigation water. MEEG students are designing the gate’s mechanics, while ELEG students handle the operational hardware and software. BENG students focus on the agricultural aspects, including surface water hydrology, surface water modeling, crop modeling, and integration into rice production. Additionally, we are collaborating with Dr. Henry to incorporate alternating wetting and drying with pumps, optimizing water usage and improving irrigation efficiency.
Team Members: Jamari Benologa, Joshua Johnson, Connor McCurtain, Matthew Shepard, Caleb Smith, Daniel Whitmire
High Performance Computing Profiler
Sponsor: George D. Holmes
The University of Arkansas is home to the Arkansas High-Performance Computing Center (AHPCC), which provides high-performance computing resources to researchers for various jobs. Our task is to evaluate the relevant qualitative and quantitative factors, and develop a framework that will help researchers to decide whether they should run their job in-house with the AHPCC, or if they should explore a cloud based solution such as Microsoft Azure.
Team Members: Cole Goodwin, Megan Leach, Clifford Lewandowski, Norah Rogers, Ogden Wells
Ice Cream Company ERP
Sponsor: Crème Ice Cream Co.
Crème Ice Cream Co. is currently managing inventory and employee schedules manually as well as tracking expenses in Excel. Handling tasks manually causes delays in ordering inventory and raises issues with changing schedules and tracking employee availability. While effective, tracking expenses in Excel is tedious and could be streamlined. The goal of this project is to create an Enterprise Resource Planning (ERP) system that will help manage employee information, schedules, inventory, and expenses, saving both time and money.
Team Member: Takeki Kawate, Amna Khan, Kevin Lu, Andrew Mobley, Jordan Russell, Aidan Watkins
Interior Building Navigation System
Sponsor: Sarah Hernandez
A research hub at the University of Arkansas has proven difficult to navigate given its confusing layout, a considerable number of visitors, and changing room designations. This project aims to develop a cost-effective internal mapping system to help visitors find their destinations while reducing the responsibility of staff to direct them. Our solution is a web app developed in Python and Flask, storing the pertinent information about the building itself in an SQL database.
Team Members: Gabriel Castrellon, Aaliyah Garcia, Christian Morales, Avery Nelson, Laine Rainbolt, Madeline Wilkinson
ThoughtCloud – Inventory Management
Sponsor: Michael Gashler
ThoughtCloud is a hierarchical note taking platform created and maintained by Dr. Gashler, a professor of Computer Science at the University of Arkansas. Recently the user base of ThoughtCloud has expanded and with it the common use cases. It was identified that ThoughtCloud could benefit from a feature or set of features which could be used to search and sort the records of an item inventory easily in a mobile format. To accomplish this our team proposed the addition of an inventory view which implements the capability to add, delete, search and sort through complex records while being optimized for ease of use on a variety of devices. The execution of the proposed features will create a vastly improved user experience for those using ThoughtCloud for inventory management purposes.
Team Members: Thomas Buser, Michael Jones, Malachi Massey, Dave Rohant, Caleb Spellins
IV Alarm System
Sponsor: Morten Jensen
The problem we have tackled is IV alarm fatigue and desensitization in hospitals. Nurses are exposed to hundreds of alarms a day, varying in priority from low to high. This constant exposure can lead to desensitization, potentially resulting in alarms being overlooked. We’ve developed a solution centered around a Raspberry Pi with an integrated microphone, designed to be attached to an IV pump. Nurses will have access to a monitor located in a centralized area for all nursing staff. Our product detects alarms emitted from hospital IV pumps, prioritizes them based on importance, and displays them at the centralized location. This allows for fast and efficient response times. We achieved this solution through collaboration between the BMEG team’s hardware and our team’s software. We hope to help hospitals and promote safety with accuracy.
Team Members: Kristen Babbitt, Rafael Balassiano, Reese Breeling, Cali Brewer, Joshua Workman
KSL Animation Library
Sponsor: Manuel Rossetti
The KSL 2D Animation Library is a graphics extension for the Kotlin Simulation Library (KSL), allowing Discrete Event Simulation (DES) models that display system operations in real time to be represented in a much more consumable fashion. The idea is a system that reads in DES information and displays a two-dimensional graphical model that shows the user what is happening in the simulation. This animation system is to be adaptable to various KSL models and not catered toward any one model. This allows for practical “plug and play” on an array of different models. Creating a universal 2D animation system allows for a substantial increase in usage, room for changes, adaptability, and the chance to expand for different simulation libraries in the future.
Team Members: Case Brooks, Collin Crist, Johnathon Gaines, Alex Prosser, Eduardo Tenorio
KSL Web Application Framework and Architecture
Sponsor: Manuel Rosetti
Our project uses the Kotlin Simulation Library to create a website to facilitate the construction of KSL model programs, each having their own web page. We have paired KSL with Vaadin to address the front-end mechanisms while AWS and Docker work together in the back-end. AWS deploys the application as Docker functions as the host. This will serve as a foundation to be built from after our initial implementation. Our work is heavily informed by Dr. Rosetti’s writings from his textbook on Simulation Modeling and Arena.
Team Members: Tyler Kuper, Dhruv Mistry, Kaden Ramirez, Jaden Turner, Gabriel Young
Lab Software Ecosystem
Sponsors: Trent Rogers, Daniel Hader, The Algorithmic Self-Assembly and Natural Computing Group at the University of Arkansas
Our Lab Software Ecosystem aims to both centralize the communications between lab researchers and provide secure storage of vital lab files and experiments. This will be interfaced with an efficient, user-friendly web front end that can access web-hosted file storage. Providing solutions for these obstacles will streamline the research workflow in team-based lab research at the Algorthimic Self-Assembly Lab. Important information will be well-documented, readily visible to mitigate redundancies, and properly secure to control access to each project.
Team Members: Logan Boyd, Phillip Drake, Uyen Ho, Theavan Saitang, Damian Stevenson
NOTION: LiDAR Truck Detection & Classification
Sponsors: Sarah Hernandez, Pratik Pokharel, Geoffery Agorku
Currently transportation agencies have no effective way of determining and tracking the types of freight being transported. Understanding these metrics is the key to proactively planning infrastructure upgrades, maintenance, and future development. The NOTION: LiDAR truck detection project seeks to create a cost-effective solution to this problem.
Team Members: Brad Daugherty, Taisei Hanyu, Benjamin Keller, Michael Miller, Tommy Ngo, Touzong Vang
Machine Learning Classifier for Fault Diagnosis in Rotary Machines
Sponsor: David Jensen
Our project involves developing machine learning technology that can be used to detect faults in rotary machines.We are focused on developing multiple machine learning algorithms that can be used to accurately detect faults and be used as a research tool for the Mechanical Engineering Department at the University of Arkansas. We will focus on data collection, feature extraction, model development and performance analysis to increase the efficiency and accuracy of fault detection in industrial machinery.
Team Members: Alberto del Río Jara, Tyler Hannon, Victor Manuel Cabaleiro Valado, Makayla Novitske
Mobile Application for Seat Belt Use Data Collection
Sponsors: Sararh Hernandez, Karla Diaz-Corro
The Arkansas Highway Safety Office (HSO) of the Arkansas State Police (ASP), in partnership with the University of Arkansas, has long conducted seat belt use surveys through manual data collection methods. While effective, these methods are both time-consuming and labor-intensive. In response to these challenges, we will develop a mobile application designed to streamline the collection, storage, and analysis of seat belt use data, to significantly enhance efficiency and accuracy. This solution aims to modernize the current data collection process providing more timely data for analysis.
Team Members: Lucien Cariffe, Isaiah Martin, Jacob Martin, Christopher Nelson, Ethan Smith
Music Practice Feedback
Sponsors: Zachary Lookenbill, Christa Bentley, Hannah Laws
This software aims to deliver quick and accurate feedback on key aspects of performance, such as pitch accuracy, rhythmic precision, and dynamic expression. By using audio analysis algorithms and an intuitive user interface, the tool will help musicians identify and improve upon their mistakes.
Team Members: Cameron Evans, William Finck, Jacob Fuller, Zane Kessler, Blaze Moore
Razorbotz NASA Lunabotics
Sponsors: William “Andrew” Burroughs, Grace Harding
NASA annually holds a national competition for students to create a lightweight, efficient, and robust lunar rover. Each robot is graded based on its weight, power consumption, and excavation performance. Based off of previous competition, upgrading past code base and modifying GUI, communications, and autonomy in order to improve competition performance from the past years.
Team Members: Ryan Cheng, Joseph Folen, Landon Reynolds, Maxwell Thursby, Blake Williams, Kevin Zheng
Cyber Pattern Labs
Sponsor: Kevin Jin
A free online penetration testing platform for students to learn and grow their cybersecurity skills.
Team Members: Adel Barbarawi, Tyler Cash, Nadine Filat, Tessa Kapellar, Pranav Mahesh, Charles Poolman
Re:Search (A Temporal Search Engine)
Our project attempts to make a temporal search engine that is both accessible and robust, such that the process of combating link rot and searching for lost media becomes second-nature to the average internet user. By creating an incremental index search engine with a web crawler that can timestamp scraped HTML pages, the robustness of Google can be combined with the temporal properties of the Wayback Machine—the current flagship searching application from the Internet Archive to allow users view the internet from the past. This will increase the accessibility of temporal search to more casual users of the internet along with those who want to do informational search queries rather than navigational search queries.
Team Members: Blayten Jones, Sankalp Pandey, Angel Pinzon, Phuong Tran, Alexander Wells, Blake Wood
Tissue Processing Unit
Sponsor: Robert Saunders
Our team is tasked with creating a web service that can interface with a Tissue Processing Unit, a pathology device that preserves tissue samples. Remote access will allow for field technicians in Kenya to start the tissue processing unit remotely, receive notifications if the process has finished, and to see if the process has failed for some reason.
Team Members: MiKayla Harrison, Juan Vazquez, Benjamin Wodka
Weather Event Effects in Supply Chain
Sponsor: SupplyPike
Our Capstone II project focuses on the impact of severe weather on supply chains, including delays, inventory shortages, and increased transportation costs. We aim to analyze historical weather data to understand how specific conditions disrupt logistics. The goal is to help businesses dispute late fees linked to weather-related delays and plan future routes that avoid high-risk areas. By the end of the project, we hope to provide insights that help suppliers recover losses and strengthen their operations against weather disruptions.
Team Members: Eva Casto, Tristan Floyd, Colin Myers, Matthew Polk, Chloe Shepherd, Seth Towe
Psyche Web Game: Around Psyche in 448 (Earth) Days
Sponsor: Cassie Bowman
NASA’s Psyche mission, led by Arizona State University, is on a five-year journey to explore a metal-rich asteroid that may be the remnant of an early planetary core. To support public engagement, we are developing a web-based game that is both informative and interactive. The game will follow the mission’s four orbital scanning stages—characterization, topography, gravity science, and elemental mapping—mirroring aspects of the real scientific process. Each level will feature unique gameplay mechanics, using different player controls to simulate the scanning techniques used by the Psyche spacecraft, keeping curiosity and excitement alive as it travels to its 2029 destination.
Team Members: Gianfranco Bruno, Benjamin Edens, Jessica McBride, Olivia Meier, Kaedon Pense, Austin Rodriguez
Informational Psyche Webpage
Sponsor: Cassie Bowman
The Informational Psyche Webpage is designed to educate users on the asteroid through the use of interactable 3D assets relating to the asteroid and information curated from official NASA sources. The key use for the page is to increase public support for the NASA mission to Psyche by informing a wide audience that has little to no understanding of the mission, the satellite sent for the mission, or the properties of the asteroid. Unlike other NASA informational webpages, we were tasked with adding additional interactive elements alongside the information to create a webpage that stands out and allows for more engagement from users.
Team Members: Vishal Jeyam, Margaret Pedro Milne, Amber Morton, Jacob Round, Cassie Smith, Lei Taylor
Brain Ballast
Sponsor: Dr. Michelle Barry, University of Arkansas Department of Civil Engineering
Ballast is used under railroad tracks to distribute loads and maintain track geometry. Over time, ballast can become fouled which can result in potential degradation to the railroad. Our team will investigate wireless sensors to detect fouling conditions. We expect to deliver a working wireless sensor prototype that can detect fouling conditions and characterize its cost, power, and size.
Team Members: Duncan Conly, Cole Hemmen, Russell Rathbun, Hayden Threlfall
PPMx: AI and Pompeii
Sponsor: Dr. David Frederick, University of Arkansas Department of World Languages, Literatures, and Cultures
The “Pompeii: Pitture e Mosaici” and similar efforts have produced a rich dataset for understanding the relationships of art and living in ancient Pompeii. Our team will investigate an automated approach to generate network graphs for individual houses from the map of Pompeii. The long-term objective is analyzing the physical parameters of space in Pompeii against the type of art in the space. We expect to deliver an Artificial Intelligence driven approach to determining these metrics.
Team Members: Justin Anderson, Jose Hernandez, Sandy Wahba, Yi Wang
RC Drone Boats
Sponsor: Robert Saunders, University of Arkansas Department of Electrical Engineering and Computer Science
Drone behavior among remote-controlled devices can be useful in many areas, including aquatic applications. Our team will design a modular system enabling RC aquatic drones with integrated onboard sensors and adaptive control logic. We expect to deliver a flexible interface that allows integration with various software platforms and hardware configurations.
Team Members: Aidan McQueen, Caden Ross, Wesley Siharath, Gage Slaughter
Razorbotz: Collegiate Space Mining Competition
Sponsor: Andrew Burroughs, University of Arkansas Department of Electrical Engineering and Computer Science
Razorbotz is the University of Arkansas robotics team that typically competes in NASA’s Lunabotics Competition. This year they are competing in CoSMiC, the Collegiate Space Mining Competition. Our team will take the lessons learned from the competition and advance objectives for improving performance, including creating a simulation of the robot and the arena to virtually test code, programming the robot’s autonomous functions, overhauling the GUI, and moving the robot’s communications from TCP to UDP.
Team Members: Grace Harding, Francisco Hernandez, Nathan Kehoe, Kalaya Samuel
Solid Native Applications
Sponsors: Zachary Grider, Dr. Alexander Nelson, University of Arkansas Department of Electrical Engineering and Computer Science
Modern digital infrastructure stores your data online as the default. The consequence is that you have less control over your data. Our team will investigate a solution that puts the data back in your hands. We expect to deliver a set of native mobile applications that maintain data in personal datastores.
Team Members: Tyler Brandon, Rylan Davidson, Michaela Pascall, Lauren Robinson
Walmart Application DataFusion
Sponsor: Pietro Malky, Walmart Inc.
Large organizations inevitably collect systems and applications developed over time. These applications span disparate scales, protocols, and datatypes. This represents a significant possibility for data unification to improve interoperability while simultaneously reducing the potential for vulnerabilities. Our team will investigate solutions for automating data fusion from disparate applications.
Team Members: Andrew Amidei, Weston Cox, Axyl Liang, Zizheng Liu4\
Gallery WebApp
Sponsor: Joseph Horner
Our team will be developing a web application for our sponsor to display and sell their pottery-based merchandise. We will design both the user interface and the application code. Our team expects to deliver a full-stack web application with consumer and administrator views.
Team Members: EJ Alobuia, Jackson Finger, Rover Gutierrez, Jonathan Mendez
Automated Hydroponics Farming System
Sponsor: Dr. Jeff Dix, University of Arkansas Department of Electrical Engineering and Computer Science
Our goal is to create a fully automated aeroponic farming system which is capable of growing Swiss chard from seed to full harvest without any human interaction. Our team will be designing a robotic system to pick up the plants and insert them into the aeroponic tower. The aeroponic system would take measurements on ambient light, water pH, electrical conductivity, water flow through valves, nutrient flow, or any other vital data. The final stage would be for the robotic mechanism to pull plants out of the aeroponic system and get them ready for packaging.
Team Members: Nathaniel Bowles, Dylan Collier, Jackson Hodge, Benjamin Kensington
Immersive Virtual Reality Location Mapping
Sponsor: Jay McAllister, University of Arkansas Libraries
Virtual reality (VR) has the capacity to visualize locations that are either physically inaccessible or augment physical locations with additional information. In this senior design project, we will implement VR technology to visualize University spaces for potential students, alumni, or other stakeholders. We expect to deliver a VR experience of one or more physical locations on the UA campus.
Team Members: Chase Handford, Jason Giordano, William Graef, Elizabeth Richardson
Mobility and Aging in Collaboration (MAGIC): A Transportation Platform for Older Adults
Sponsor: Dr. Suman Mitra, University of Arkansas Department of Civil Engineering
Among older adults, there is an existing dependency on family members for transit. Our team will design a mobile application to assist in a larger University effort to address mobility in older adults. We expect to deliver functional cross platform mobile application for a potential pilot study.
Team Members: Lisbeth Echeverria, Sheraz Mukhtar, Isabella Odom, Nathan Wojtowicz