Engineering Commons^™

Preparing Students For The Quantum Era: Qml Training And Applications, Triveni Kandimalla, Valentina Nino

Symposium of Student Scholars

Quantum Machine Learning (QML) emerges as a transformative approach to addressing the growing complexities of modern data processing and computational challenges. Classical machine learning (CML) techniques, while powerful, face limitations in handling vast amounts of high-dimensional data and solving complex optimization problems efficiently. Despite its potential, QML remains underrepresented in academia, highlighting the need for accessible, hands-on learning experiences and knowledgeable faculty. This project seeks to advance QML education by incorporating it into diverse curricula, creating practical learning materials, and fostering workforce readiness. Using Google Colab, an open source labware has been designed to provide interactive learning modules (M0 to …

Human-Ai Teaming For Academic Performance Analysis, Kendarius Ward, Elise Hernandez, Tom Antony, Md Abdullah Al Hafiz Khan, Kazi Aminul Islam, Abm Adnan Azmee

Symposium of Student Scholars

Educators today often work with students who are struggling academically, but limited time and resources make it difficult to uncover the root causes and provide timely assistance. Artificial intelligence (AI) is a growing, viable tool for analyzing large datasets and solving problems in different domains; however, human expertise is required to enhance the AI model’s performance. This study will utilize human-AI teaming to assess student performance based on factors such as their academic involvement, hours spent studying, and grade-point-average, among others. These findings will help instructors better grasp each student's academic needs. By incorporating humans into the AI pipeline, we …

Building Resilience: Strategies For Sustainable Wildfire Management In California, Jaiden Rennie, Pegah Zamani

Symposium of Student Scholars

Wildfires in California are becoming more intense and destructive, threatening communities, ecosystems, and livelihoods. This project explores how resilience and sustainability can work together to reduce wildfire risks and long-term damage. By reviewing research, case studies, and expert insights, it examines what’s driving these fires, climate change, poor land management, and human activity, and looks at solutions that can make a real difference. From community education programs to AI-driven fire detection and smarter policies, the findings highlight practical ways to better prepare for and manage wildfires. The goal is to contribute to a future where communities and the environment are …

Using Rf Hardware Technologies To Counteract Interference Within Dsrc Caused By Adjacent Unlicensed Bands, Grayson Hatcher, Billy Kihei, Nathan Kirkwood, Marco Tello

Symposium of Student Scholars

In recent years, competition within Radio Frequency (RF) communication bands has led to an overlap between the U-NII-4 band used by low-cost consumer devices, and the Dedicated Short Communication Band (DSRC) used by the Georgia Department of Transportation. Past research con- firmed that this interference leads to drastic reduction in Packet Reception Rate (PRR) for Roadside Units (RSUs) and On- Board Units (OBUs) throughout the country, resulting in a reduction of stability between different components of the Intelligent Transportation System (ITS). Our research team set a goal to prove that a low-cost and simple modification can be made to RSUs …

Bridging The Gap: Care Team’S Perspectives On Technology And Ai Integration In Healthcare, Sarah Fernandes, Pranathi Boyina, Awatef Ergai Dr., Wellstar Health System, Mohammad Yousef Mousa Naser, Sylvia Bhattacharya Dr.

Symposium of Student Scholars

As healthcare systems increasingly integrate digital solutions, understanding the perspectives of frontline healthcare workers on technology adoption is critical. This study explores how Registered Nurses (RNs), Licensed Practical Nurses (LPNs), and Certified Nursing Assistants (CNAs), collectively referred to as the Care Team, interact with existing and emerging healthcare technologies, including artificial intelligence (AI). Given the growing reliance on digital tools for clinical and administrative tasks, this research examines the challenges and benefits perceived by healthcare professionals when incorporating AI-driven solutions into their workflows.

A cross-sectional research design was employed, involving 30 semi-structured interviews with Care Team members from an Intensive …

Sustainable Smart Farming Device With Leafit Adaptive Growth Technology, Saville Atkins, Anthony Iwejuo, Julian Pitts, Luis Mercado, Rachnicha Rojjhanarittikorn, Sandip Das, Hai Ho

Symposium of Student Scholars

For farmers, gardeners, and horticulture enthusiasts worldwide, one immutable reality is that maintaining a consistent physical presence to care for plants is not always feasible. In addition, different plants have unique needs for watering, nutrients, and environmental conditions to thrive. Failing to meet these specific needs can result in poor plant health, reduced yields, and inefficient resource usage. In this research project, we have designed and developed ‘LeaFit’ – a cutting-edge Internet of Things (IoT) device that offers a sophisticated and sustainable smart farming and gardening solution. Equipped with intelligent soil moisture, ambient temperature, humidity, and light sensors, LeaFit autonomously …

Skewed Approach Flow To The Spillway Of An Embankment Dam, C. I. Thornton, J. Ellis, F. Alsultan, C. Volt, R. Ettema

5th International Seminar on Dam Protections Against Overtopping

A contemporary activity in dam engineering is the raising of embankments to increase reservoir storage or flood level in a channel. For embankment dams, the raised position of the spillway must be located on a native soil/rock shoulder of the dam, to avoid geotechnical problems associated with possible embankment settlement. Consequently, for many sites, the approach flow entering a spillway likely will not be acceptably uniform, as the approach flow becomes increasingly skewed to reach the spillway’s entrance with the raised embankment. This concern raises the question of where to position the spillway’s ogee crest within the spillway entrance and …

Design Of A Wave Overtopping Simulator With Variability In Simulated Flows, N. Van Der Vegt, B. Hofland, J. J. Warmink, V. M. Van Bergeijk, S. J. M. H. Hulscher

5th International Seminar on Dam Protections Against Overtopping

A new experimental setup for conducting large- to full-scale wave overtopping experiments will be constructed at Delft University of Technology. This setup consists of an indoor Wave Overtopping Simulator (iWOS), a landward dike slope, and a transition to the toe. The iWOS, with a height of 3.25 meters, can release volumes of up to 2.67 m³/m of water. A key innovation is its controllable release valve, allowing variability in flow characteristics for the same overtopping volume.

The iWOS is designed based on established relationships between overtopping volume and flow characteristics at the landward crest of a dike. Computational Fluid Dynamics …

Power-Beaming: Wireless Energy Transfer Using Lasers, Spencer L. Barnett

ATU Scholars Symposium

The objective of the project is to implement a wireless energy transfer system utilizing laser technology. This system involves modulating the laser’s beam profile and spatial distribution through precise optical manipulation. The energy transmitted by the laser is captured by a photovoltaic array, commonly referred to as a solar panel, which is engineered to convert incident photons into direct current (DC) electrical power. The current challenge is to develop a reliable wireless energy transfer mechanism capable of operating over extended distances, thereby overcoming the constraints imposed by wired connections, particularly in environments where wiring is impractical, such as in space. …

Design Of A Teleoperabletendon-Driven Robotic Hand, Zachary Giese, Joseph Gober, Samuel Grisham, Avery Mahan, Aspen White, Brayden May, Aspen White

ATU Scholars Symposium

This work presents the design, implementation, and validation of a 3D-printed tendon-driven robotic hand with a bi-directional wireless control system. The robotic hand emulates human anatomical principles, focusing on replicating flexion and extension mechanisms of the metacarpophalangeal (MCP), proximal interphalangeal (PIP), and distal interphalangeal (DIP) joints via a tendon-pulley system. Iterative prototyping resolved initial challenges in joint stiffness, tendon routing, and servo interference, culminating in a design where a single servo drives both flexion and extension for each joint using a bidirectional tendon control mechanism. A reliable bidirectional wireless communication framework, using Arduino Nano Every microcontrollers and NRF24L01 modules, enables …

Enhancing Understanding Of Breach Processes Using Computational Fluid Dynamics And Laboratory Tests, K. V. Chua, M. Hassan, C. Goff, M. Morris, H. Haddad

5th International Seminar on Dam Protections Against Overtopping

Accurate prediction of dam breach processes is crucial for risk assessment and emergency response planning. Computational Fluid Dynamics (CFD) offers a powerful tool for simulating such complex phenomena. However, the reliability of CFD models hinges on their validation against experimental data. This paper compares numerical simulations by the open-source code, OpenFOAM, to laboratory flume experiments to assess the accuracy of its predictions of dam breach overtopping processes.OpenFOAM is first being used to model the flow characteristics of two key stages of a dam breach experiment that took place in a physical laboratory setup. The two stages are the surface erosion …

Conclusions From The Performance Assessment Of Industry Applicable Internal Erosion Initiated Breach Prediction Models, Mark W. Morris, Jean-Robert Courivaud

5th International Seminar on Dam Protections Against Overtopping

The EDF funded Performance Assessment of Industry Applicable IE Initiated Breach Prediction Models project was initiated with a workshop at HERU in Stillwater in October 2019. In the following 4 years a team of modelers comprising both model developers and industry model users analyzed the performance of 6 different breach modelling codes against a range of different data sets, including hypothetical, field and real dam failure case studies. Each of the data sets reflected a dam or levee failure initiated by internal erosion, and which subsequently developed into an open breach. Modelers were required to simulate breach formation from the …

An Iterative Approach To Utility Contribution For Arc Flash Incident Energy Calculations, Zachary Giese

ATU Scholars Symposium

Accurately determining short-circuit fault contribution from utilities is a major challenge in arc flash incident energy analysis. Utilities may withhold or frequently alter data, and the presence of distributed generation complicates worst-case scenario identification. Additionally, commercially available software imposes limitations on scenario modeling and calculations, restricting engineers' ability to refine results. This research introduces an iterative approach that enhances worst-case arc flash identification while addressing software constraints. Initially, the study applied this approach to various facility models using commercial tools, comparing different methodologies. However, the focus has since evolved into developing an open-source arc flash calculator. This tool surpasses existing …

Pep Manned Electric Boat, Llanzita Chea, Sean Cobb, Robin Cung, Justin Fuentes, Khynnedi Murry

ATU Scholars Symposium

A team of five engineers took on the challenge of designing, building, and testing a single-person electric boat for the Promoting Electric Propulsion (PEP) competition. From the start, our team focused on maximizing efficiency and performance by carefully selecting and refining each part of the system—everything from the hull and shaft to the propeller, motor, and battery setup. We repurposed an old hull, repaired it, and outfitted it with a new custom-designed shaft and a well-matched propeller to improve handling and propulsion. Power came from a custom-built LiFePO₄ battery pack, paired with a reliable battery management system to keep everything …

Scalable Distributed Ai: Low-Cost, High-Performance Computing With Jetson Nano And Dask, Kesava Manikanta Chirumamilla

ATU Scholars Symposium

No abstract provided.

Deep Learning-Based Multi-Class Classification Of Breast Cancer Ultrasound Images Using Convolutional Neural Networks, Andres E. Dewendt Urdaneta

ATU Scholars Symposium

The National Cancer Institute forecasts 2,001,140 cancer diagnoses in 2024, with approximately 600,000 expected deaths. Breast cancer is projected to be the most prevalent, with about 310,000 cases. Early diagnosis is critical to improving outcomes, and various diagnostic technologies, including imaging, biopsies, and blood tests, play a vital role. Image testing methods include X-rays, ultrasounds, magnetic resonance imaging (MRI), and PET scans. Artificial intelligence (AI) has recently significantly improved cancer detection, improving speed, accuracy, and effectiveness. This research project uses a convolution neural network (CNN) to analyze ultrasound breast images, classifying them as benign, malignant, or normal. Our CNN model …

Can Computational Fluid Dynamics Be The Basis For The Next Generation Of Breach Models?, M. Hassan, K. V. Chua, C. Goff, S. Haeri, M. Morris, R. Coombs

5th International Seminar on Dam Protections Against Overtopping

Dam and embankment failures can have devastating consequences for communities, infrastructure, and the environment. Therefore, accurate modelling of dam and embankment breaches is crucial for effective flood risk assessment and emergency response planning to precisely estimate areas and people that are prone to risk and plan for reducing the damage to properties and the environment. Recently, many advances have been made to improve the accuracy of breach modelling, including the development of physically based one and two dimensional numerical models that takes into account the various processes that take place during the breach of an embankment dam or a flood …

Enhancing Embankment Dam And Levee Resilience Against Overtopping Erosion: The Muscatine Island Levee Project, W. R. Thompson, J. T. Leyh

5th International Seminar on Dam Protections Against Overtopping

HydroTurf® is an advanced revetment solution engineered to protect embankment dams and riverine levees from erosion caused by overtopping events. Its design provides an impermeable geomembrane protected by engineered turf with a high strength cementitious infill, resulting in a fiber reinforced high-strength concrete matrix. The system provides a durable and impermeable barrier against erosive forces.

The Muscatine Island Levee Improvement Project, situated along the Mississippi River in Iowa, exemplifies the application of HydroTurf. This initiative aimed to enhance flood protection for approximately 30,000 acres of commercial, industrial, and residential areas. A critical component was the construction of a hardened controlled …

The Overcome Project: Overall Perspective And Progress, Jean-Robert Courivaud, Mark W. Morris, Maxime Boucher, Laurent Del Gatto, Christophe Picault, Kamal El Kadi Abderrezzak, Rafael Morán Moya, Miguel Angel Toledo

5th International Seminar on Dam Protections Against Overtopping

The OVERCOME project is an applied research project that aims to provide the dam and dike engineering profession with an easy-to-use, physically based numerical tool that represents overtopping erosion and failure of homogeneous embankments made up of coarse-grained, gap-graded soils. This project began in 2018 and is scheduled for completion in 2028, and was initiated by EDF and CNR, who are the two main owners of embankment dams in France. To achieve this objective, the OVERCOME project is based on an extensive program of experimental tests of various dimensions. The interpretation of these tests will be used to define a …

Empowering Mental Support Health Through Ai Chatbot, Anish Ilapaka

ATU Scholars Symposium

The growing prevalence of mental health concerns worldwide underscores the urgent need for accessible, scalable, and supportive solutions. Artificial Intelligence (AI) has emerged as a promising tool in this domain, capable of delivering immediate and empathetic interactions to complement traditional methods of mental health care. This project introduces a conversational AI system to assist individuals experiencing mental health challenges. The proposed system is built on a LLaMA model fine-tuned with a dataset of 10,000 mental health-related dialogues; the system leverages advanced natural language processing and machine learning techniques for meaningful engagement. The core functionality of this tool lies in its …

Arkansas Tech University Modular Robot Training System, Bryson C. Hicks, Dominic Snow, Harrison Taylor, Spencer Barnett, Leland Bosley

ATU Scholars Symposium

The Arkansas Tech University Modular Robotics Training System (ATUM RTS) project was started two semesters ago by a team of six engineering students at Arkansas Tech. Their goal was to combine the two existing systems of the Georgia Tech Robotarium and the Micromouse maze solving competition. This was done to bring new challenges and excitement to maze-solving robotics while incorporating the cloud-based learning system of the Georgia Tech Robotarium. By creating randomized mazes using tiles and remote walls, ATUM RTS will provide an additional resource to students that will allow them to utilize their knowledge in real world applications. This …

Fatigue Behavior Of 3d-Printed Nylon And Asa For Aerospace Applications, Brayden D. May, Collin Kita

ATU Scholars Symposium

Additive manufacturing, commonly known as 3D printing, has revolutionized the production of lightweight, customized, and cost-effective components across various industries. This study specifically investigates the fatigue behavior of two thermoplastics—Nylon and ASA—fabricated using the Fused Deposition Modeling (FDM) technique. These materials have demonstrated significant potential in aerospace applications, particularly for lightweight structural components in mini drones and satellites, where corrosion resistance and high performance are critical requirements. Specimens were manufactured using the state-of-the-art Bambu Lab X1 Carbon printer, and the influence of key printing parameters—such as infill density, layer height, and test frequency—was systematically analyzed under cyclic loading. Among the …

Semi-Autonomous Trash Bot, Ben Leon, Ethan Mashburn, Connor Olivera, Dillon Michael Wood

ATU Scholars Symposium

Title: Semi-Autonomous Trash Robot

Authors: Benjamin Leon, Ethan Mashburn, Connor Olivera, Dillon Wood

Abstract: Environmental pollution is becoming more worrying every day as megatons of human waste persist in vast amounts in our ecosystems. The existing waste collection methodologies, with the labor, time, and cost components combined, make the process cumbersome. A potential solution could be an automated waste collection robot that incorporates AI into a cheap system that autonomously detects trash. This report proposes a machine that may be manufactured to adequate standards in terms of size and cost and deployed in various environments, with the ultimate goal of …

Empowering Students Through Project-Based Learning In Computer Science: Connecting Real-World Problems To Classroom Innovation, Roza Shaimurat, Faith Bogrek, Bethany Ratermann, Shruti Bhandari, Tolga Ensari

ATU Scholars Symposium

Project-Based Learning (PBL) is a powerful approach in computer science education that moves beyond technical instruction to cultivate problem-solving, adaptability, and resilience. Unlike traditional methods, PBL immerses students in real-world challenges, where failure becomes a steppingstone to success. This paper explores how PBL fosters deep learning through hands-on projects, such as robotics competitions and smart technology solutions, bridging the gap between classroom concepts and real-world innovation. Despite its unpredictability and instructional challenges, PBL ignites student engagement, instills a sense of ownership, and prepares learners for the evolving demands of the tech industry. By embracing PBL, educators not only equip students …

Pros And Cons Of Preservation Treatments, Buzz Powell

Local Transportation Asset Management Conference

No abstract provided.

The Hidden Cost Of Intelligence: Environmental Impacts And The Rise Of Green Ai Solutions, Hayin Tamut

ATU Scholars Symposium

Artificial Intelligence (AI) has rapidly transformed industries and daily life, but beneath its advancements lies a growing environmental concern. This paper explores the often-overlooked ecological footprint of AI technologies, focusing on real-world data and tangible impacts. Notably, training OpenAI’s GPT-3 model alone consumed approximately 1,287 megawatt-hours (MWh) of electricity—equivalent to the annual consumption of over 120 U.S. homes—and emitted 500 metric tons of CO₂, comparable to driving 112 gasoline-powered cars for a year.

Furthermore, the environmental cost extends beyond electricity consumption. Data centers powering AI require vast amounts of water for cooling, contributing to local water shortages—highlighted …

Proceedings Of The 5th International Seminar On Dam Protections Against Overtopping, Protections 2025

5th International Seminar on Dam Protections Against Overtopping

Editors: Sherry Hunt, Bryan Heiner, Tony Wahl, Brian Crookston

Implementing Maintenance 4.0 Methods In Ventilation Systems: A Case Study In Uaeu Laboratories, Ammar Yaser Abdullah

Thesis/ Dissertation Defenses

This study introduces an advanced Maintenance 4.0 framework aimed at systematically evaluating and mitigating air quality risks within laboratory environments, specifically applied to the context of the United Arab Emirates University (UAEU). Employing real-time monitoring through sophisticated IQ-Air sensors, this research continuously captures key indoor environmental parameters, such as particulate matter concentrations (PM₁, PM₂.₅, PM₁₀), carbon dioxide (CO₂) levels, ambient temperature, and humidity. State-of-the-art machine learning algorithms are developed and operationalized to enhance ventilation system efficiencies and proactively forecast maintenance requirements, thereby transitioning from reactive to predictive maintenance strategies.
Empirical results indicate that Maintenance 4.0 applications significantly enhance the capacity …

Performance Of Quasi-Isotropic Gf/Pet Laminates In Impact And Compression After Impact Loading, Yubo Ma, Shuoyan Niu

Research & Creative Achievement Day

The impact resistance and residual compression strength of two types of glass fiber/ polyethylene terephthalate composites are investigated in this research project. The first materials are glass fiber/ polyethylene terephthalate glycol (GF/PRTG) and the second material is glass fiber/ amorphous polyethylene terephthalate (GF/PETa). Both matrix materials are ductile thermoplastic polymers. The ductility of the matrix is expected to improve the impact resistance of the composites. The advantage of the first material is higher ductility and improved fire resistance, and the advantage of the second material is high bonding strength with the reinforcing fiber glass. Both matrixes and low cost engineered …

Panel Impact And Compressing Strength Testing, Michael A. Dietz, Wyatt N. Laborde

Research & Creative Achievement Day

Intro/Purpose: This project was conducted to investigate how a material's compressive strength is affected after being impacted while supported on three sides. This has broader implications, helping us understand how military equipment, such as battleships, have their compressive strength affected when impacted by projectiles like bullets, shrapnel, or other objects.

Methodology: This test was conducted using panels made of multiple layers of fiberglass pressed together to form a solid sheet. We then cut these sheets into multiple panels. These panels were rectangular, with a tab coming off three sides. The three tabs simulated a wall supporting the material …