Image of red tulips with words 14th Annual Honors Engineering Symposium, University of Arkansas, Saturday, April 9, 2022


Richard Cassady

On behalf of the faculty and staff of the College of Engineering at the University of Arkansas, it is my pleasure to welcome you to the 14th Annual Honors Engineering Symposium. The purpose of the symposium is to showcase the research and innovation efforts of 40 first-year engineering students, five first-year business students, and two first-year arts and sciences students who are enrolled in the Honors College or Honors College Path program.

Nineteen students participated in a research colloquium during the fall semester in which they learned about various aspects of academic research in an engineering program. Throughout the year, the students have worked individually or in teams on projects mentored by College of Engineering faculty. The 9 research projects cover several areas of tremendous recent attention in the engineering professions.

Forty-eight students participated in an innovation colloquium during the fall semester in which they learned about various aspects of innovation and entrepreneurship. Throughout the year, the students have worked in teams on projects mentored by University of Arkansas Faculty to help them with innovative design projects. The student teams also had to consider product market and business development plans.

The symposium will run concurrent presentation and poster sessions throughout the afternoon. We invite attendees to attend the poster sessions and visit one-on-one with students about their projects. Attendees may also attend presentation sessions during which they can learn details of the projects. Everyone is welcome at the awards ceremonies.

I appreciate your support and again welcome you to our 14th Annual Honors Engineering Symposium.

C. Richard Cassady, Ph.D.
College of Engineering Honors Program Director


Dean Kim Needy

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Dean Matt Waller

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Lynda Cook

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Dean Kim Needy, College of Engineering

Hello and welcome to the 14th Annual Honors Engineering Symposium. Today, we honor our students who are shaping the world of tomorrow! Participating in this symposium is a significant achievement, and you should be proud. Well done! You have gone above and beyond what is required of first-year students by choosing to participate in this research or innovation experience and for that we celebrate. Please enjoy the presentations and posters of those who will change research, product marketing and business development of the community, state, nation and the world.

Dean Kim LaScola Needy


Dean Matt Waller, Sam M. Walton College of Business


Dean Lynda Coon, Honors College

Video filmed in 2021


Finding Light Rail Transit Solutions for Northwest Arkansas


Jacob Holmes | Industrial Engineering

Cindy Nguyen | Computer Science

Faculty Mentor

Dr. Ed Pohl | Industrial Engineering

Project Description

Northwest Arkansas is growing very quickly, and the current method to increase transportation capacity will not be sufficient or sustainable for the future. Through our project, we will analyze current road expansion plans and theoretical Light Rail Transit systems through a value hierarchy to determine whether Light Rail could be a useful solution for Northwest Arkansas.

Exploring the Effects of Varying Stretch Ratios on Alignment and Cell Response in Collagen I Scaffolds


Alyssandra Marie Navarro | Biomedical Engineering

Hyunseo Seok | Biomedical Engineering

Faculty Mentor

Young Hye Song, Ph.D. | Biomedical Engineering

Mackenzie Lewis Graduate Student Mentor | Biomedical Engineering

Project Description

Previous literature suggests that the physical organization of the extracellular matrix components can regulate cell behavior. For this research, collagen I scaffolds containing human adipose stem cells were subjected to mechanical stimulation to mimic collagen matrix arrangement to those observed in native tissues. Then, stem cell secretion of pro-regenerative cytokines from our collagen scaffolds were measured to assess its potential in therapy for traumatic injury.

Creating alternative methods for the regeneration of human Schwann cells post-injury using Heparin and Collagen bilayer coatings to increase migration rates


Olivia Vedock | Biomedical Engineering

Konatsu Nagashima | Biomedical Engineering

Faculty Mentor

Jorge Almodovar, Ph.D. | Chemical Engineering

Luis Carlos Pinzon Herrera Graduate Student Mentor | Chemical Engineering

Project Description

Peripheral nerve injuries create detrimental damage to Schwann cells, with the only known forms of treatment being unreliable and costly. The issue in effective treatment comes from the lack of healthy cell regrowth immediately following injury. Our goal is to increase Schwann cell regrowth by creating and testing Heparin- Collagen bilayer coatings with the use of the stopper method. This simulates nerve injury to track regeneration of healthy Schwann cells through visual monitorization of migration rates.

Cooperative Manufacturing of a Large-Scale Tent with Swarm 3D Printing


Jackson Bumgarner | Biomedical Engineering

Faculty Mentor

Wenchao Zhou, Ph.D. | Civil Engineering

Zachary Hyden, Chief Mechanical Engineer | AMBOTS Inc.

Project Description

Swarm 3D printing is an emerging technology that allows for printing larger objects than otherwise possible through the use of multiple mobile printers. We have created a functional design for a foldable tent that can be printed in one solid piece to test the capabilities of the swarm printers. The design utilizes multiple printing materials and a large size to show the potential scale, flexibility, and aptitude of the technology.

Using Natural Language Processing to Detect Misinformation in Media


Jacob Fuller | Computer Science

Caden Williamson | Computer Science

Faculty Mentor

Dr. Susan Gauch | Computer Science and Computer Engineering

Andrew Lee Mackey | Graduate Student Mentor, Computer Science and Computer Engineering

Project Description

As misinformation becomes evermore prevalent and dangerous on the internet, automated processes need to be developed to combat its proliferation. Natural Language Processing is the ability for computers to understand human language, written or spoken, and is key in developing a program that can detect misinformation on the internet and social media with minimal human intervention. This project compares the efficacy of Natural Language Processing models and machine learning models to accurately identity the truthfulness of text-based media online.

Prime-Editing Approach to Creating and Correcting Mutated PPT1 Genes in Classic Infantile CLN1 Disease


Julia Wasson | Biomedical Engineering

Maya Vance | Biomedical Engineering

Faculty Mentor

Dr. Christopher Nelson | Biomedical Engineering

Mary Jia, Graduate Student Mentor | Biomedical Engineering

Project Description

Classic Infantile CLN1 Disease is caused by an R151X substitution in the PPT1 gene that results in the cell incorrectly breaking down fatty acids. Through the design and insertion of a corrected pegRNA sequence into mutated cells, the cells would be able to uptake the genetic information and repair the mutation in their genetic code. This would correct improper protein folding and high fatty acid levels in the cells, relieving patient symptoms.

Side-Channel Attacks on Post-Quantum Cryptography


Jordi Castro | Computer Science

Luke Simmons | Computer Science

Faculty Mentor

Dr. Alexander Nelson | Computer Science and Computer Engineering

Tristen Teague, Student Mentor | Computer Science and Computer Engineering

Project Description

Digital signatures are used for many internet-based transactions. These algorithms will become vulnerable when quantum computers can perform robust computation. Candidate post-quantum signature algorithms are in development but have not been hardened to physical side channel attacks in real-world scenarios. Side-channel attacks could expose private keys to forge signatures and transactions by analyzing the power usage of the chip. We use a research tool called the Chip Whisperer to determine whether one of the new algorithms, namely Crystals-Dilithium, is vulnerable to side-channel attacks on a processor commonly found in embedded devices.

The Characterization of an Inorganic Perovskite’s Band Gap for Optoelectronics


Nicholas DeVilliers | Electrical Engineering

William Hay | Electrical Engineering

Faculty Mentor

Omar Manasreh, Ph.D. | Electrical Engineering

Amir Shariffar, Ph.D. | Electrical Engineering

Project Description

Inorganic perovskite materials offer an alternative to silicon in the production of solar cells. There are several perovskites that have not had their band gaps, which is important to determine their effectiveness while in solar cells. The absorbance of the material was measured using a UV-Vis Spectrometer and the band gap was determined using the absorbance in the Tauc Plot Method.

Utilizing Artificial Intelligence to Better Assess and Manage the Poultry Supply


Jayden Hamilton | Mechanical Engineering

Alex Prosser | Computer Science

Faculty Mentor

Miaoqing Huang, Ph.D. | Computer Science and Computer Engineering

Project Description

Managing large quantities of any item can prove to be challenging, but the issue becomes more apparent when it relates to animals. However, thanks to growth in computing power and steady development of artificial intelligence, neural networks can be utilized to recognize and identify animals captured with cameras. This project focuses on how this has been applied to chicken coops and how further development can lead to recognition of behaviors and health of those chickens.


Plant Your

Plant Your Impact


Emily Becker | Computer Science

Jahilit Flores | Chemical Engineering

Sarim Khan | Computer Science

Margaret Milne | Biomedical Engineering

Faculty Mentor

Scott Osborn, Ph.D. | Biological and Agricultural Engineering

Project Description

A fourth of all plants and one third of all animal extinctions are because of invasive plant species. Our solution is a mailable, recycled paper card that is ingrained with native plant seeds. Its four-step process will teach the importance of native plants and how easy it is to make an impact. We are targeting homeowners with an environment fit to grow outdoor plants, as well as schools that can incorporate this easy project into lesson plans.


Bike Better


Samantha Collier | Electrical Engineering

Brooke Scott | Mechanical Engineering

Deeksha Shanmuganathan | International Business

Faculty Mentor

Uche Wejinya, Ph.D. | Mechanical Engineering

Project Description

Is it possible to leave your bike anywhere while avoiding the hassle of locking it up and the fear of having it stolen? This pitch deck explores a new, better kind of bike, one that can be locked with the click of a button. Our product aims to solve the problem of bike theft while being more convenient than the ordinary bike lock.

Wearable Mouse

EasyTouch: Wearable Mouse


Noah Moix | Mechanical Engineering

Jackson Morawski | Mechanical Engineering

Aaryan Phadnis | Information Systems

Larissa Temple | Mechanical Engineering

Faculty Mentor

Alexander Nelson,Ph.D. | Computer Science & Computer Engineering

Project Description

Are you sick and tired of trying to find room to use a computer mouse? This pitch deck outlines our design for a wireless computer mouse that offers all the features of your traditional mouse, just at the tip of your finger! Using modern technology we developed a versatile mouse that will function on any surface, perfect for on the go and in crowded spaces!

Energy Edge

Energy Edge Battery


Kalina De-Russe | Biological Engineering

Kennedy Hicks | Biology

Thomas Miller | Mechanical Engineering

Iseabaila Scott | Biochemistry

Faculty Mentor

Monty Roberts, M.S. | Mechanical Engineering

Project Description

When on a bike trail, having your phone for emergencies is a must. The Energy Edge Battery will make sure your device is always powered. The battery connects a generator to the front wheel of your bike and when it spins, the generator transfers the energy into the battery, so it can turn it into electricity and can charge your device.

Recycling made EZ

REZcycle: Recycling made EZ


Aaron Estep | Mechanical Engineering

Spencer Burmingham | Business Marketing

Raymond Lin | Mechanical Engineering

Han Siew | Industrial Engineering

Faculty Mentor

Rogelio Garcia, Ph.D. | Strategy, Entrepreneurship and Venture Innovation

Project Description

How does recycling one bottle affect the world? Our product is an attachment to preexisting recycling cans that monitors the input of recycling and displays the impact of that recycling. We plan to utilize infrared sensors and unit data to run information to a small screen that will display researched and compelling data showing how much impact that can make on the environment.

WPR: Wind Powered Refrigeration Unit

WPR: Wind Powered Refrigeration Unit


Reagan Herrmann | Strategy, Entrepreneurship and Venture Innovation

Jayce Hollister | Computer Science

Grant Resler | Mechanical Engineering

Gavin Pitts | Chemical Engineering

Faculty Mentor

Robert Saunders, M.S. | Electrical Engineering

Project Description

Our product converts the natural air flow around a semi-truck into clean, efficient, and consistent energy for refrigeration units on semi-truck trailers. We are capable of achieving this industry leading innovation by incorporating turbine technology into existing semi-truck aerodynamics.

Sixth Sense: Aftermarket Car Sensors

Sixth Sense: Aftermarket Car Sensors


Caleb Flores | Biology

Justin Mach | Computer Science

Brittney Nguyen | Industrial Engineering

Faculty Mentor

Alexander Nelson, Ph.D, | Computer Science and Computer Engineering

Project Description

Americans are keeping their cars for a more prolonged period and constantly buying more used cars; however, these older cars lack many modern safety features. The National Highway Traffic Safety Administration has data that shows that fatality rates increase among those driving older vehicles. Our product bolsters older modeled cars to have modernized safety features such as blind-spot and parking sensors with seamless installation.


Shower iQ


Cameron Dalton | Electrical Engineering

Connor Gates | Finance

Vincent Hassman | Electrical Engineering and Mechanical Engineering

Ethan Moss | Computer Engineering and Computational Physics

Philip Nuñez | Department of Strategy, Entrepreneurship and Venture Innovation

Faculty Mentor

Steve Tung, Ph.D. | Mechanical Engineering

Project Description

This project involves a shower product that appeals to environmentally conscious individuals and smart home enthusiasts alike. Shower iQ is a device that attaches between the pipe and shower head that collects data on time spent in shower, shower temperature, and gallons of water used while showering. The collected data is displayed in an easy-to-read format via a smartphone app so users can analyze the impact their showers have on their water and electric bills.