Engineering Commons^™

Aria – Ai Robot Intelligence Assistant, Balakrishna Reddy Channa Reddy

Pacific Innovation and Entrepreneurship Summit (PIES)

ARIA (AI Robot Intelligence Assistant) is an autonomous AI-powered robot designed to improve human-robot interaction and autonomous navigation. The system integrates advanced capabilities including face recognition, voice commands, AI responses, obstacle avoidance, phone tracking via Bluetooth Low Energy (BLE), and autonomous navigation.

The architecture consists of multiple layers: sensors (camera, microphone, and ultrasonic), a Raspberry Pi serving as the AI brain, an Arduino for motor control, motors and wheels for movement, and phone connectivity via Bluetooth (BLE). This layered design enables real-time perception, decision-making, and physical interaction with the environment.

Future development directions include real-time learning, edge AI optimization, and …

Data Analysis For A Regional Department Of Transportation, Maxwell Cook, Kendall Klewer, Jocelyn Wood

2026 Student Academic Showcase

The given client is the regional office of a state department of a transportation agency that oversees five counties within the state. The regional office has provided information pertaining to areas such as financials, car accidents, and contractors which will be used to explore a variety of data trends and insights. The goal of the data exploration is to determine if there are other ways in which money can be reallocated to create an optimized spending plan for future projects. Actual award cost versus estimated award cost, contractor versus timeliness of projects, and type of job versus employers in a …

Mechanism Of Improved Miscibility Of Co2–Oil Systems By Multiester-Headgroup Surfactants, Ning Xu, Yanling Wang, Baojun Bai, Yu Zhang, Wenjing Shi, Zhaonian Zhang, Wenhui Ding, Peixu Ma, Zan Gao

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

In the pursuit of carbon neutrality, the CO₂-enhanced oil recovery provides dual benefits by enabling both carbon sequestration and incremental oil production. However, its application is limited by high minimum miscibility pressure. CO₂-philic and oil-affinitive surfactants have emerged as an effective, low-dosage, and cost-efficient strategy to reduce the minimum miscibility pressure. In this study, macroscopic phase behavior experiments combined with molecular dynamics simulations were employed to systematically elucidate the influence of multiester-head surfactants on CO₂–oil miscibility. Using a modified pressure–volume–temperature apparatus equipped with optical power monitoring, we determined that multiester-head surfactants reduced the first-contact …

Llm For Clinical Named Entity Recognition: A Study On Rag With Pubmed And Umls, Apoorv Tripathi

Electronic Theses and Dissertations 2020 - Present

The first step of biomedical NLP is recognizing clinical named entities, which consist of identifying and categorizing a variety of clinical entities such as diseases, symptoms, genetics, diagnostic tests, procedures, etc. from a body of unstructured clinical text. This study presents a PubMed and UMLS based Retrieval Augmented Generation framework which improves the performance of the Large Language Models to identify clinical entities by providing context. In particular, the framework consists of a two-stage pipeline, where candidate tokens are identified from initial LLM-based classification and refined with retrieved context from either PubMed or UMLS. The proposed framework is assessed across …

Advanced Studies In Characterization Of Pyrolysis Products From Live Vegetation, Mahsa Alizadeh

Theses and Dissertations

Fire is a naturally occurring element in many ecosystems which can have both positive and negative effects. However, in recent years the frequency of the fires and the area they affect has increased. The rapid spread of wildland fires coupled with the limited resources available to forest services to manage wildland fires highlights the urgency for accurate prediction of fire spread. Fire prediction models enable the fire management services to predict the spread of fire and prioritize firefighting efforts more effectively. Understanding reactions and mechanisms occurring during wildland fires improves the fire prediction models. During wildland fires, the biomass covering …

Advances In The Design Of Bio-Organic Resistive Switching Memory, Muhammad Awais, Yi Sheng Wong, Feng Zhao, Kuan Yew Cheong

Electrical and Computer Engineering Faculty Research & Creative Works

Bio-organic materials have garnered significant attention as sustainable candidates for non-volatile resistive switching memory (RSM) because of their specialized chemical, structural, and environmental advantages. This review presents a design-centered perspective on bio-organic RSM by outlining the key device components required for effective device engineering, including electrode materials, memristive thin films, intermediate layers, substrates, and electrical measurement strategies. Each component is discussed in detail with respect to the material properties and operational parameters that influence overall device performance, such as functional groups, interfacial interactions, and processing conditions. The review further analyses the critical roles of electrode pairing, interfacial chemistry, additive incorporation, …

Shelter Portal: Qr-Based Service Tracking For Low-Barrier Shelters, Kate Steele, Colton Knopik, Michael Fischer

2026 Symposium

Shelter Portal is a web-based service tracking application developed for low-barrier shelters, including Catholic Charities’ House of Charity and Rising Strong programs. Many shelters still rely on manual headcounts and estimated meal totals, which are labor-intensive, error-prone, and insufficient for tracking individual service use over time. This limits operational visibility and makes it difficult to generate reliable reports, identify usage trends, and support external reporting requirements. Shelter Portal addresses this problem by providing a more accurate and privacy-conscious way to document shelter services.

The system was designed as a kiosk and web-based platform that uses scannable QR code cards to …

Improving Electrochemical Measurements And Informing Future Reprocessing Of Advanced Nuclear Fuels, J. Marvin Torrie

Theses and Dissertations

This research promotes the application of molten salts through developing analytical tools in electroanalytical studies and in the data analysis of vapor pressure data. The electrochemical community lacks standardized, stable, and repeatable reference electrode designs which threaten the reliability of measured thermophysical properties and repeatability of published studies. This work confirms the application of a saturated reference electrode design for molten chlorides systems that outperforms traditional Ag+/Ag reference electrodes. In the field of thermal physical property measurements, vapor pressure data for chloride salts are diffused throughout the literature, uncertainty quantification is absent or limited, and all previous studies rely on …

Qualitative Dataset On Student Interpretation Of Automated Code Feedback And Programming Self-Efficacy, Mary Benjamin

Michigan Tech Research Data

This dataset supports a qualitative study examining how first-year engineering students interpret automated code feedback and how these interpretations relate to the development of programming self-efficacy.

The study focuses on student interactions with an automated code critiquer (WebTA) in a MATLAB-based introductory programming course. It explores how feedback influences students’ emotional responses, debugging behaviors, and confidence development.

Conceptual framing: Automated Feedback → Interpretation → Self-Efficacy Development

A Treatise On Tool Development: The Arthroscope’S Cultural, Technological, And Metascientific Translation, Montgomery F. Waterer

Honors Theses

The arthroscope was a revolutionary development in the fields of medicine, engineering, and ethics. There are many valuable lessons to be learned from the story of its development and translation that are relevant to the future of medicine and society. Beginning with a brief description of the tool’s design, this paper will examine a period within the history of the arthroscope. This window contains multiple innovators and ends with the life and work of Dr. Robert Jackson. In examining the relevant historical facts of its development, this paper will then briefly address the importance of sports medicine in the development …

Comparison Of Pfas-Free Hydrophobic Layer-By-Layer Coatings For Cellulosic Textiles: Evaluation Of Water Repellency, Mechanical Durability, And The Effects Of Fabric Construction, Elvira Isenzhulova, Radika Bhaskar

School of Design and Engineering Papers

Environmentally safe water-repellent coatings are urgently needed for the textile industry as an alternative to PFAS-based finishes. Challenges include development of coatings that are effective in imparting both water repellency and mechanical durability, with relatively simple synthesis to promote industry use. This study compared the performance and abrasion resistance of two different bio-based, layer-by-layer (LbL) self-assembled hydrophobic coatings for cellulosic fibers. Textile samples were coated with bilayers composed of negatively charged plant-derived carnauba wax and a positively charged component: either poly-L-lysine or lower-cost zinc oxide nanoparticles. To investigate the influence of surface microroughness on coating adhesion and performance, two different …

Energetic Characterization Of 3-D Printed Acrylonitrile Butadiene Styrene Fuels For Hybrid Rocket Propulsion Applications, Stephen A. Whitmore, Ryan J. Thibaudeau, Ava T. Wilkey

Mechanical and Aerospace Engineering Faculty Publications

Hybrid rocket technologies are gaining recognition as eco-friendly alternatives to traditional propulsion systems. Utah State University’s Propulsion Research Laboratory has developed a High-Performance Green Hybrid Propulsion (HPGHP) technology, leveraging 3D-printed ABS fuel for reliable, low-energy ignition. Among tested materials, only ABS shows suitable electrical-breakdown properties for arc ignition. Unfortunately, due to the proprietary formulations in commercial ABS blends, and its limited use as a rocket-propellant, related composition and combustion data are limited. This study uses spectroscopic evaluation and bomb calorimetry to estimate material compositions, enthalpies of formation, and combustion energies for multiple commercially available 3-D print feed stock ABS types, …

Transitional And Turbulent Dynamics In Viscoelastic Wall-Bounded Flows, Alexia Martinez Ibarra

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

The addition of small amounts of long-chain polymers to a turbulent flow has been reported to modify the flow phenomena when compared to Newtonian flows, resulting in a significant skin-friction reduction. Although polymer-induced drag reduction has been extensively studied through both experimental and numerical studies, a unified and predictive understanding of the phenomenon is still lacking. This dissertation focuses on better understanding of this phenomenon, particularly on the transitional regime, which remains largely unexplored but is of utmost importance for both practical and fundamental purposes.

Firstly, direct numerical simulations are performed to study the effect of polymers on the laminar-turbulent …

Fully Coupled, High-Resolution Atmosphere–Ocean–Wave Simulations Of The Offshore Wind Energy Environment During Hurricane Henri (2021), Chunyong Jung, Pengfei Xue, Chenfu Huang, William Pringle, Mrinal Biswas, Geeta Nain, Jiali Wang

Michigan Tech Publications

A new fully coupled modeling system, integrating atmosphere, ocean, and wave models, is presented to simulate intricate interactions during tropical cyclones and explore their potential implications for offshore infrastructure. The system is evaluated on Hurricane Henri (2021), chosen for its distinctive track along the US northeast coast, an area of densely populated regions and offshore wind energy zones. Three simulation setups are compared: atmosphere only, atmosphere–ocean, and a fully coupled atmosphere–ocean–wave model. Among them, the fully coupled model produces the most realistic results, improving not only the storm intensity near the surface but also the wind structure from the near …

Uscis-Grounded Ai: Preventing Hallucinations In Immigration Legal Services, Hephzibah Igwe

ONU Student Research Colloquium

Artificial intelligence chatbots increasingly provide legal information to consumers, but AI "hallucinations" (confidently stated but incorrect responses) pose serious risks in immigration law. Incorrect information about USCIS forms, fees, processing times, or filing procedures can result in visa denials, deportation proceedings, or permanent bars to entry.

This research presents a novel "source-grounded AI" system that eliminates hallucinations in immigration legal information. Rather than relying solely on large language models (LLMs) trained on general internet data, the system uses USCIS.gov as the primary source of truth for all operational data including current forms, fees, processing times, filing addresses, and policy updates. …

A Trojan Attack On Tdma Synchronization In Energy-Harvesting Wireless Networks, Ethan Berei

ONU Student Research Colloquium

This paper investigates a Trojan attack targeting the time-division multiple access (TDMA) synchronization mechanism in single-hop energy-harvesting wireless networks. The attack compromises a single node, which subtly skews its transmission timing to operate outside its assigned time slot, causing localized transmission overlaps and triggering repeated network-wide resynchronization events. This behavior shortens the synchronization interval, significantly increases control-plane traffic, and leads to higher energy consumption and delay in energy-constrained networks. The attack is modeled within a finite state machine (FSM) framework and experimentally evaluated under varying energy-harvesting conditions. Experimental results show that the number of synchronization events can increase by up …

Mason Avenue Culvert, Caden Boynton

Honors Theses

This project addressed the replacement of a culvert crossing Wabascon Creek along North Mason Avenue in Battle Creek, Michigan. Following significant flooding caused by snowmelt in 2023, the existing wooden box culvert—originally constructed in the 1960s—sustained damage when inlet wingwalls detached from the structure, requiring temporary repairs. Design alternatives were developed to provide a durable and reliable replacement, incorporating structural, water resources, transportation, and construction engineering considerations. The design process also addressed environmental sustainability requirements, cost-effectiveness and constructability. Final deliverables included engineering calculations, plans and specifications, a cost estimate and a project schedule to support implementation of a resilient long-term …

Ergonomic And Material Flow Improvements For A Medical Device Assembly Line, Matthew Kobus

Honors Theses

This project evaluated material handling inefficiencies and ergonomic concerns within Stryker’s Neptune medical device assembly line. Two primary issues were identified: lack of a standardized part-location system in the supermarket and excessive operator travel between subassembly and main assembly. These issues resulted in search waste, motion waste, lost production time, and increased ergonomic strain.

To address the labeling issue, a standardized bin labeling system was developed and tested. A time study comparing labeled and unlabeled conditions showed that average retrieval time decreased from approximately 120 seconds to 22 seconds, an 81% reduction. Statistical analysis confirmed that this improvement was significant …

Analyzing Proposed Unmanned Aerial System Regulations And Their Impact On Manned Aircraft Operations, Kordell Irish

Honors Theses

The purpose of the thesis is to investigate the current state of the proposed Part 108 regulations and to find possible solutions to the problems faced by Part 108 implementation, with a focus on the interactions between manned and unmanned aircraft. The thesis covers upcoming changes to federal aviation regulations by the Federal Aviation Administration (FAA) regarding unmanned aircraft systems and their integration into the national airspace system. Currently, most unmanned aircraft systems (UAS) are regulated under Part 107 of the federal aviation regulation. A brief literature review will provide a background and timeline in the lead-up to the Part …

Erk Builds A Population Of Short-Lived Nascent Adhesions That Produce Persistent Edge Protrusion And Cell Migration, Andrew P. Shepherd, Keith R. Carney, Majid Rostami, Jakaria Shawon, Andrew Elliott, Shiela C. Samson, Sangyoon J. Han, Michelle C. Mendoza

Michigan Tech Publications

Cell migration is realized through the fast and persistent protrusion of a leading edge in the direction of movement. The actin and adhesion structures that build edge protrusions are integrated such that pro-migration signaling pathways must control both assemblies to induce protrusion. Understanding the contribution of adhesion regulation has been complicated by the inability to selectively assay the nascent adhesions that promote edge protrusion. Here, we dissect how the core RAS → RAF → MEK → ERK pathway’s control of nascent adhesions contributes to edge protrusion and cell migration by targeting an ERK FRET biosensor to adhesions and quantifying ERK’s …

​ Planning, Control, And State Estimation For Chain-Style Modular Robots​, Sebastian Theiler, Yucheng Nie, Joshua P. Kevil

Electrical and Systems Engineering Capstone Design Projects

Traditional robots have fixed shapes, limiting their ability to adapt to complex or dynamic environments. Modular robotic systems are composed of identical robot modules that can connect and disconnect to form different structures. This allows the robots to form bridges to cross voids and split apart to fit into tight corridors. However, while previous modular robotics research heavily emphasizes reconfiguration planning, comprehensive motion planning remains underexplored. We introduce a novel, end-to-end framework for the planning, state estimation, and control of chain-style modular robot swarms. Our system includes a custom network flow planner that maps polygonal environments into a Reeb graph …

Space Degradable Pyrotechnic Fastener, Jonathan Baker

Honors Theses

Space debris has become a critical threat to orbital operations, with over 30,000 tracked objects currently circling Earth. Traditional separation charges used in satellite launches contribute significantly to this problem by generating unpredictable shrapnel that can remain in orbit for decades or centuries. This project proposes the design and development of a spacedegradable explosive bolt that exploits the harsh space environment to accelerate material breakdown after use.

The design utilizes advanced polymer materials selected for their susceptibility to degradation from UV radiation — an environmental factor abundant in Low Earth Orbit (LEO). Our prototype will be engineered to meet industry-standard …

Development Of A Grease Resistant Barrier For Food Industry Applications, Mira Marino

Honors Theses

The objective of this project is to develop a grease-resistant barrier coating for paper-based food packaging and to evaluate the economic feasibility of implementing this coating system at an industrial scale. As demand increases, this project focuses on identifying an optimal pigment and binder combination that enhances barrier performance while maintaining cost-effectiveness. The primary goal was to maximize grease and moisture resistance of coated paper while ensuring the process is economically viable and compatible with existing paper mill operations.

The final plant design consists of one continuous stirred tank reactor (CSTR) and three centrifugal pumps integrated into an existing paper …

Investigating The Cost And Efficiency Of Two Chemical Pathways To Produce The Plant-Based Coagulants, Taylor Nixon

Honors Theses

Plant-based coagulants are promising sustainable alternatives for water treatment due to their biodegradability, low toxicity, and reduced risk of secondary pollution. Unlike conventional inorganic coagulants, they generate less sludge and avoid secondary contamination in the environment. This project examines two chemical modification strategies for producing cationic cellulose coagulants. The first involves direct amination of cellulose using CHPTAC, while the second employs periodate-oxidized dialdehyde cellulose, which enables reductive amination through reactive aldehyde groups. These approaches are expected to yield materials with differing charges, surface functionalities, and structural properties that may influence coagulation performance. The study evaluates the technical and economic feasibility …

Mild Thermal Treatment Of Lithium-Ion Batteries To Optimize Black Mass Production, Brooke Lillie

Theses and Dissertations

This thesis explains the design of equipment and the experimental procedure for thermal treatment of lithium-ion batteries for the purpose of low-cost materials recycling. Conditions used were between 150 ℃ and 425 ℃, involving different atmospheric conditions and treatment durations. The battery samples were processed through a sieve shaker device. Mass loss during the heat treatment, and separation of the battery through sieving was used to analyze the effect of the treatments on separability of black mass from the batteries. Additionally, internal battery temperature was measured and compared to real average furnace temperature to monitor thermal runaway. Testing showed minimal …

Opportunistic Breast Cancer Detection With Photon-Counting Ct: A Quantitative Pilot Study Of Reconstruction-Dependent Image Quality, Graham Hannon

McKelvey School of Engineering Graduate Student Theses & Dissertations

Photon-counting computed tomography (PCCT) has emerged as a promising imaging modality with improved spatial resolution and contrast capabilities compared to conventional energy-integrating detector systems. These advantages present an opportunity for opportunistic detection of breast cancer in routine thoracic CT scans that include breast tissue. In this pilot study, we evaluated the feasibility of opportunistic breast cancer detection using clinical PCCT data through quantitative image analysis. Two patients with confirmed breast malignancies and corresponding thoracic PCCT scans were retrospectively analyzed. Dedicated reconstructions were performed with varying convolution kernels, field-of-view sizes, and virtual monoenergetic spectra. Image quality was assessed using signal-to-noise ratio …

Integration Of Bayesian Networks And Neural Networks For High-Dimensional Data Analysis, Cooper Schmer

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

High-dimensional biomedical datasets, such as omics data, present significant challenges for predictive modeling due to noise, redundancy, and computational complexity. This thesis proposes a hybrid framework that integrates Bayesian Networks (BNs) and Artificial Neural Networks (NNs) to improve classification performance of such data sets while reducing input dimensionality. Central to this work is a novel feature selection method based on d-separation, a structural property of Bayesian networks that encodes conditional independence relationships.

The proposed approach introduces a count-based d-separation metric to quantify the relevance of variables to a target outcome, along with a thresholding scheme to balance feature selection robustness …

Enhancing Lane Detection In Autonomous Vehicles Using Data Augmentation For Adverse Environmental Conditions, Rutvikkumar Dave

Electronic Theses and Dissertations 2020 - Present

To make sure that self-driving and connected automobile technologies are safe and work well, it’s really important that they can correctly identify lanes. But lane detection Algorithms typically have a hard time working well when the weather is bad, such when it rains, fogs, or goes too fast. The circumstances cause visual distortions that make existing computer vision systems less reliable, which makes it harder requires autonomous navigation systems to work well. This paper introduces a comprehensive lane detection system that integrates synthetic Weather-informed data augmentation combined with a Weather-aware Temporal Lane Detection Network (WTLDNet) to make it easier for …

Piano Aid, Christopher G. Sayers, Tyler Baugus, Gabby Taunton

Create@State

Pianos provide recreational and educational value and is a cornerstone of the culture experienced worldwide today. Despite the many benefits and enrichment music brings these benefits are often inaccessible or difficult to learn by most people but especially to those of the Deaf and Hard of Hearing (DHH) community due to its innate auditory nature. While adaptive instruments have been proposed to address this gap, many remain conceptual or fail to reach production because of high development costs and limited commercial markets. This project presents an economically feasible alternative in the design of an adaptive digital piano that enables both …

Cast In Steel: Horseman's Axe, Sam A. Morris

Create@State

Cast in Steel is a competition between universities across North America started by the Steel Founders Society of America. The competition is centered around giving students the opportunity to learn about casting and the steel industry in general. A prompt of a weapon or tool with some level of historical significance is given to all the teams. The prompt for the 2026 Arkansas State University team, was a Horseman’s Axe. The team designed their rendition of a horseman’s axe, worked with Southern Cast Products as their local industry parter, and fabricated a finished axe to represent Arkansas State University as …