Isolation, Identification, And Enzymatic Screening Of Fungi From Utah Dryland Soils For Industrial And Waste Valorization Applications, Jessica Lorena Silva Cuero

All Graduate Reports and Creative Projects, Fall 2023 to Present

Agricultural waste accumulation presents environmental challenges but also opportunities for biological valorization into value-added products. Fungi are particularly well-suited for this purpose due to their capacity to produce extracellular enzymes involved in the degradation of complex organic substrates. Dryland ecosystems represent a promising source for bioprospecting microbes capable of producing such enzymes. Drylands harbor a high diversity of extremophilic microorganisms that can withstand harsh conditions, extreme heat, UV, and low nutrients using unique adaptations. This suggests that these microbes are resilient and capable of surviving under varying conditions and still produce enzymes for biotransformation. The objective of this study was …

Examining Ai Use Strategies Among Engineering Students: An Exploratory Quantitative Study, Jenny Lee Blonquist

All Graduate Theses and Dissertations, Fall 2023 to Present

Artificial intelligence tools like ChatGPT have quickly become part of everyday life for many people, including engineering students. This has raised concerns about the effects of students relying or over-relying on AI to help with their coursework. Are they still building the problem-solving and reasoning skills they will need as engineers? The purpose of this study is to understand not just whether engineering students use AI, but how they use it.

This research focused on two different ways students can use AI tools. 'Understanding-seeking' is when a student uses AI as a learning support such as asking thoughtful questions to …

A Multi-Label Computer Vision-Based Approach For Condition Assessment Of Traffic Signs: Database Compilation, Model Training, And Evaluation, Shailaja Ratna Pandey

All Graduate Theses and Dissertations, Fall 2023 to Present

Traffic signs help drivers and pedestrians to understand roadway rules, warnings, and directions, which determine how road users should behave. When signs fade or delaminate, they become harder to read and interpret, which creates increased safety hazards. Transportation agencies usually deploy engineers to the field to inspect signs because they need to evaluate and document the sign’s condition based on established standards and engineering judgment. This process requires substantial time and cost and becomes challenging to apply across large highway networks.

This study evaluated two computer vision (CV) models for automated traffic sign condition assessment using highway images collected across …

A Maintainable Extensible And Performant Compiler Toolchain For The Trustguard Architecture, Ethan N. Emery

Master's Theses

TrustGuard is a hardware architecture implementing a CAVO (Containment Architecture with Verified Output) model, which provides security guarantees by bootstrapping trust of a system to a hardware component known as the Sentry. Rather than verifying an entire system, TrustGuard re-executes trusted computation on the Sentry and validates the host system's execution before allowing values to pass to the outside world, thereby containing the effects of erroneous computation. Implementing this architecture in practice without hardware modifications to a host CPU requires a compiler toolchain capable of automatically generating instrumented binaries for both the untrusted host and the trusted Sentry from C …

Asm And A Culture Of Sharing, Caring, And Fun In Education, David J. Westenberg

Biological Sciences Faculty Research & Creative Works

One doesn't always equate a professional scientific society with sharing, caring, and fun, but in this age of public distrust, public engagement with science and active student learning are ways to regain trust. ASM holds a leadership position in promoting and recognizing the value of education in the future of our profession and is there to support your educational journey. From K12 outreach and public engagement, to professional development, to presenting and publishing scholarship of teaching and learning, ASM has been at the forefront of biology education. Under the leadership of visionary directors such as Amy Chang and now Irene …

Advancing Internationalization With Collaborative Online International Learning (Coil): A Systems Engineering Approach, Sharon Bommer, Olumuyiwa Asaolu, Paul Dagnall, Scott Segalewitz, Oluwatoyin Popoola, Esther Adeyemi

Journal of International Engineering Education

As globalization accelerates and engineering careers increasingly require international collaboration, engineering education programs must design courses and curricula to adequately prepare students for careers as engineers in modern industry. Collaborative Online International Learning (COIL) is a model of teaching and learning that supports the development of intercultural competence through a joint online learning environment. This paper presents a systems engineering approach of module development for an integrated COIL undergraduate course between a university in the United States and a university in Nigeria. The key objectives of this course are to increase students’ intercultural competence and to simulate global engineering management …

Development And Testing Of A Computer Vision Pose Estimation System For Planar Mobile Robots, Andrew Jones

Master's Theses

This thesis details the development and testing of a computer vision-based real-time pose estimation system for differential drive robots. A single camera with a fisheye lens is used to locate ArUco markers placed at fixed locations and attached to robots. Using the OpenCV library, the Perspective-n-Point (PnP) problem is solved to facilitate the transformation of 2-D robot positions in an image to world-frame coordinates. An analytical solution is presented to estimate robot poses based on a single PnP solution, rather than solving the PnP problem for each pose estimate. Pose information is relayed to individual robots using a multi-microcontroller architecture …

Hyperchaotic Noise Generation For Adversarial Encryption In Privacy-Preserving Image Classification, Neeraja Beesetti

Master's Theses

Artificial intelligence systems make useful predictions by taking in data and returning a classification, recommendation, or decision. Obtaining that prediction, however, requires sharing the data first. This creates a fundamental privacy challenge in machine learning: users must expose their data to receive a valuable prediction. Machine learning systems increasingly rely on cloud-based image classification for this reason, transmitting images from edge devices to remote servers rather than running large models locally. This creates a conflict between the accuracy a classifier requires and the privacy a data owner wants. Traditional encryption destroys the image structure on which a classifier depends, while …

Constitutive Behaviour, Failure Mechanisms, And Life Cycle Assessment Of Internally Cured Fiber-Reinforced High-Strength Concrete, Kastro Kiran V, Dhanya Sathyan, Sanjay Kumar Shukla

Research outputs 2022 to 2026

High-strength concrete (HSC) with low water-to-cement ratios undergoes self-desiccation, resulting in incomplete hydration, capillary porosity, and autogenous shrinkage that can compromise long-term performance. Polyethylene glycol (PEG) functions as an internal curing agent by releasing stored water as internal relative humidity decreases, thereby sustaining hydration within the cement matrix. However, the combined influence of PEG grade, dosage, and fibre type on the constitutive response, fracture behaviour, and environmental performance of M65 HSC remains insufficiently understood. This study investigated twelve concrete mixes incorporating three curing regimes viz. Conventional curing, spray curing, and PEG-based internal curing (IC) using PEG 4000 (1.5%) and PEG …

Validated Near-Infrared Spectroscopy And Chemometric Modelling For Rapid Quantification Of Essential Oil Yield And Α/Β-Santalol In Santalum Album L., Muhammad Hassnain, Muhammad Rizwan Azhar

Research outputs 2022 to 2026

The sandalwood industry remains constrained by destructive, time-intensive assays for essential oil (EO) yield, composition, moisture content, and wood fraction, which limit real-time decision-making. We report a unified near-infrared spectroscopy-artificial intelligence (NIRS-AI) platform for non-destructive analytics across the Santalum album L. value chain. Reflectance and transmittance spectra from solid matrices (disks, logs, chips, and powders), oils, ethanol extracts, and CID-derived emulsions were acquired using benchtop (400–2500 nm) and portable (900–1700 nm) spectrometers and calibrated against hydrodistillation, gas chromatography, extraction, and moisture assays. Advanced chemometric modelling using AI-based machine learning techniques, including regularised regression, ensemble learning, boosting algorithms, and neural networks, …

Chameleon Carriers In Trucking: Detection, Enforcement, And Financial And Safety Impacts, Brian Howell, Drew Law, Andrew Martin

Kentucky Transportation Center Research Report

Chameleon carriers are motor carriers that evade regulatory enforcement by dissolving and reregistering under new corporate identities. This study, commissioned by the Kentucky Transportation Cabinet (KYTC), examined how states characterize, detect, and respond to chameleon carrier activity and assessed its financial and safety impacts in Kentucky from 2020 through 2025. The research team conducted a literature review of existing agency practices and relevant stakeholder perspectives, reviewed administrative codes and statutes across 13 pilot states, and administered two structured surveys to state motor carrier credentialing officials examining carrier characterization and enforcement practices. An analysis of KYTC's carrier data flagged by CVIEW …

Thermal Conversion Of Cotton Gin Byproducts Into Liquid Fuels And High-Value Chemicals, Emmanuel Asare

Mechanical Engineering Theses

In this study, we performed fast pyrolysis, catalytic fast pyrolysis (CFP), and catalytic hydropyrolysis (CHP) of cotton gin byproducts (CGB) to investigate their conversion into hydrocarbon-rich liquid fuels and high-value aromatic chemicals. Five CGB fractions (CC1, CC2, SM, TM, and FCGB) were collected from different stages of cotton ginning operation and characterized by proximate, ultimate, and higher heating value (HHV) analysis. The feedstocks contained 41.5 44.8 wt.% carbon, 54.2–58.5 wt.% volatile matter, 6.0–15 wt.% ash, and higher heating values of 15.2–16.8 MJ kg⁻¹. All pyrolysis experiments were performed using a Pyroprobe 5200 coupled with GC-MS/FID, while catalyst loading, hydrogen pressure, …

Experimental And Molecular Dynamic Simulation Assessment Of H2/Brine/Cement Interfacial Interactions During Underground Hydrogen Storage, Nurudeen Yekeen, Sikiru, Ahmed Al-Yaseri, Berihun Mamo Negash

Research outputs 2022 to 2026

Cement is widely used as a structural and sealing material to ensure hydrogen containment in geological formations. However, the influence of H2–brine–cement wettability and H2–brine interfacial tension (IFT) on the integrity and sealing efficiency of cemented caprocks remains poorly understood. Furthermore, previous studies provide limited insights into hydrogen adsorption and sorption behavior under subsurface storage conditions. In this study, wettability and IFT of H2–brine–cement systems were experimentally measured at pressures of 500–1000 psi and temperatures of 25–50 °C to evaluate hydrogen migration, trapping, and the performance of cemented seals. Molecular dynamics simulations were conducted at pressures of 500–3000 psi and …

Policy And Regulation In Virtual Power Plants Development, Hemlal Bhattarai, Aziz, Stefan Lachowicz

Research outputs 2022 to 2026

Electricity systems are changing due to the rapid deployment of distributed energy resources (DER), which also presents significant regulatory obstacles to their coordinated integration into energy markets and power grids. However, the majority of current material in publications concentrate on operational optimization and technical architectures, with little systematic synthesis of the legal and policy frameworks governing the deployment of VPP on a broad scale. To provide grid services, improve flexibility and support decarbonization objectives, virtual power plants (VPP) have become a crucial aggregation method. To close this gap, this research critically looks at the institutional roles, market structures, global policy …

Experimental Thermal-Hydraulic Performance Enhancement Of A Parabolic-Trough Solar Collector Using 3d-Printed Propeller-Shaped Turbulators, Shayan Pourhemmati, Barun Kumar Das, Majid Tolouei-Rad, Abdellah Shafieian

Research outputs 2022 to 2026

This experimental study investigates the thermal-hydraulic performance of a parabolic trough collector (PTC) equipped with propeller-shaped turbulators, which were 3D printed and installed along the absorber tube to enhance convective heat-transfer by increasing flow mixing. Nine turbulator configurations were tested by varying the blade angle (β = 22.5° and 45°, and β = 67.5°) and the number of turbulators (Nt = 6, 12, and Nt = 18) over a Reynolds number range of 1000 to 6000. To ensure a rigorous and unbiased comparison, all experiments were conducted under identical operating conditions, including a constant inlet temperature and a constant Reynolds …

A Thickness-Invariant Origami Robot With Integrated Actuation And Multimodel Locomotion, Larry L. Howell, Davis Wing, Nathan Usevitch, Sam Bridge, William Bowler

Faculty Publications

ABSTRACT Origami robots possess the potential for advanced reconfigurability in various contexts and environments. This paper describes and demonstrates the function of an origami robot following a thickness-invariant version of the Yoshimura tessellation. This thickness-invariance allows for the simple folding pattern to be expanded vertically, allowing all robotics components to be housed within the panels of the robot without impacting the functional relationships between folds of the pattern, or requiring other, more complex forms of thickness accommodation. The mathematics and engineering to create such a robot are presented to enable the use of these techniques in creating other origami-based robots. …

Multi-Dimensional Framework For Industry 5.0: Integrating Human-Centric, Sustainability, And Operational Resilience, Tamer Adel Mohamed, Mohamed Boumalkha, Ahmed S.I. Amar

Mechanical Engineering

Industry 5.0 reframes digital transformation as a socio-technical endeavor in which automation serves human capabilities, environmental limits, and operational continuity. Yet, much of the current discourse remains either conceptual—lacking implementable metrics—or technologycentric— treating humans and sustainability as constraints instead of design objectives. This paper develops a multi-dimensional implementation framework that operationalizes the three pillars of Industry 5.0: human-centricity, sustainability, and operational resilience. We synthesize recent advances in collaborative robotics and safety-aware human–robot collaboration, digital twins (including human and supply-chain twins), and AI-driven decision support—augmented by emerging 6G ultra-reliable low-latency networking capabilities such as reconfigurable intelligent surfaces, terahertz communications, multi-access edge …

Modular Verification For Network-On-Chip Designs Using Probabilistic Verification And Assume-Guarantee Reasoning, Nicholas Waddoups

All Graduate Theses and Dissertations, Fall 2023 to Present

To satisfy increasing demands for computer chip performance in personal computing, mobile devices, and commercial server computing, a modern computer chip is constructed with tens (or hundreds) of small individual computing modules. Each of these modules must communicate with one other to share information about the running state of a computer. Historically, when chips were a few modules a simple communication method sufficied. However, as the number of modules in a chip grew, a more effecient method was needed in order to maintain performance across the system as a whole. A Network-on-Chip (NoC) design is the de-facto communication method for …

A Cfd-Dem Framework For Characterizing Nanoparticle Adhesion Effects On Creeping-Flow Permeability In Composite Manufacturing, Gavin Stoker

All Graduate Theses and Dissertations, Fall 2023 to Present

Modern aircraft, spacecraft, and high-performance vehicles are increasingly built from composite materials, engineered combinations of plastics and fibers that are lighter and stronger than traditional metals. Researchers are now pushing these materials further by mixing in microscopic particles thousands of times smaller than a human hair, called nanoparticles, to make them even tougher and more resistant to damage. The challenge is getting those nanoparticles distributed evenly. During manufacturing, liquid plastic resin is pumped through a network of tightly packed fibers, carrying the nanoparticles along with it. But nanoparticles tend to clump together and stick to surfaces as they travel, clogging …

Experimental And Numerical Investigation Of Flow Coefficients In Three-Way, T-Port, Ball Valve, Tyler A. Mindrum

All Graduate Theses and Dissertations, Fall 2023 to Present

Many systems that move fluids, like water distribution networks and heating, ventilation, and air conditioning (HVAC) systems, rely on valves to control flow. This study evaluates a three-way valve, which can direct flow in multiple directions, but has not been extensively researched. Testing included physical data collection and computer simulations to compare how the valves behaved under different valve openings and flow conditions. The results showed that computer simulations can predict the general flow behavior of three-way valves, but that physical testing is still important, especially for valves with complex internal geometries.

Evaluating Drug Concentration Profiles In Wastewater To Develop A Framework For Estimating Drug User Populations, Carl Michael E. Espinosa

All Theses

Chemical compounds, including licit and illicit drugs can be measured in wastewater and used to assess community drug consumption, providing valuable information for public health agencies, law enforcement, and local communities. While previous research primarily focused on estimating the per capita community drug consumption using back-calculation, this research focused on utilizing literature-derived parameters including drug dosage, renal excretion fraction, and sewer stability to develop a framework to estimate the user populations using Monte Carlo simulations. Samples were collected from two wastewater treatment facilities representing the Generostee Creek WWTP’s sewershed (GCS) and Mauldin Road WRRF’s sewershed (MRS). The target analytes included …

Characterization, Transport Modeling, And Image Analysis Of Rover-Terrain Interaction For Lunar Regolith In-Situ Resource Utilization, Luke A. Manolescu

All Theses

NASA has declared a return to the lunar surface and the need and demand for sophisticated In-situ Resource Utilization (ISRU) is the highest in history. ISRU will require regolith excavation, transport, and processing in order to harvest the valuable resources available, support surface operations, and keep astronauts alive. Characterizing the lunar regolith is essential to understanding the mechanical and physical behavior of the material that will be used to construct berms and structurally support astronaut habitats and landers. Any construction on Earth requires an in-depth geotechnical site assessment prior to any construction to rule out any potential site issues that …

Investigating The Effects Of Draw Parameters On The Refractive Index Profiles Of Phosphosilicate Fibers, Brandi Baldus

All Theses

P₂O₅ is a common dopant core material in silica-based glass optical fibers, in part due to its ability to increase the refractive index of silica, required for the fiber to guide light. However, P₂O₅-doped fibers can show a significant decrease in the refractive index profile compared to that of the parent preform. The question arises as to whether the refractive index decreasing could be a direct result of the fiber draw process and, if so, what is it about the draw process that causing such changes in phosphosilicate fibers. More specifically, this Thesis explores the hypothesis that these draw-induced reductions …

Electrokinetic Flow Instabilities In Non-Newtonian Fluids With Conductivity Gradients, Md Mainul Islam

All Theses

Electrokinetic instabilities (EKI) arise in electrically driven flows because the applied electric field interacts with spatial variations in electrical conductivity, generating electric body forces that can destabilize fluid interfaces. EKI can be beneficial by enhancing mixing in microchannels where diffusion is slow, but it can also be detrimental by disrupting stable sample transport, focusing, and separation. EKI has been widely studied in Newtonian fluids, and the electric Rayleigh number is known to govern the onset of this instability. However, very few studies have examined its behavior in non-Newtonian fluids, despite their prevalence in biological, chemical, and industrial applications. 

This thesis …

Evaluating The Potential For Chain Elongation To Produce Medium Chain Carboxylates From Anaerobic Conversion Of Lipids, Erin Boyer

All Theses

Medium Chain Carboxylates (MCCs), including caproate and caprylate, are valuable chemicals in various industries that can be produced biologically through an identified chain elongation pathway called reverse β-oxidation. During lipid degradation in anaerobic co-digesters at wastewater treatment plants, methane production is maximized to ensure the successful breakdown of the lipids. It remains unclear whether the anaerobic conversion of lipids possesses the potential to produce MCCs, and this study sought to evaluate the potential using anaerobic co-digester sludge from a full-scale wastewater treatment plant. Batch assays were conducted using the sludge from the plant as inoculum, as well as palmitic acid, …

Implementation Of A Practical Sharp Interface Saltwater Intrusion Model To Assess Future Sea-Level Impacts, Alexandra G. Defalco

All Theses

Rising sea levels caused by global warming exacerbate saltwater intrusion, the inland movement of seawater into coastal aquifers. These processes increase susceptibility to freshwater contamination, surface flooding, and infrastructure damage. Numerical models are utilized to assess hazards to coastal aquifers on a regional scale.

The U.S. Navy is currently developing a robust, reduced-order groundwater modeling platform, SWI6, that uses the sharp interface approach to approximate the location of the freshwater-saltwater interface to define the extent of saltwater intrusion within an aquifer. Featuring compatibility with MODFLOW 6 unstructured grid formats and the Newton-Raphson formulation for better solution stability, SWI6 improves upon …

Constructing Female High School Students’ Stem Self-Efficacy: The Role Of High School Stem Research Experiences, Hyunjin Son

Dissertations

In the U.S., nearly a quarter of the workforce is employed in Science, Technology, Engineering, and Mathematics (STEM) occupations. However, the STEM workforce lacks diversity, limiting perspectives to address real-world problems facing society. While many factors influence decisions to pursue STEM majors in college and enter the STEM workforce, one factor commonly associated with performance and persistence in STEM is STEM self-efficacy. Independent research experiences have been shown to increase conceptual understanding and confidence in STEM, leading to STEM degrees and careers. As high school co-curricular STEM research opportunities become more common, the effects of such experiences on students’ STEM …

Review: Mechanics Of Mycelium Materials, Md Anwar Sadat Anik, Ehsanul Azim, Gerardo I. Zapata, Mohammad R. Islam

Mechanical Engineering Faculty Publications

The biological growth of fungal root structure, called mycelium, can be engineered to develop innovative fibrous and biocomposite materials. Mycelium materials have potential as sustainable alternatives to petroleum-derived materials for load-bearing applications. To realize this potential, there is an increasing effort dedicated to understanding the mechanics of mycelium materials. This work presents a systematic review of our current understanding of the mechanics of mycelium materials with a specific focus on structure–property relationships. The review first explores how the mycelium’s fiber network structure varies depending on whether it is grown as a two-dimensional (2D) membrane, a cellular foam, or as a …

Underground Mine Tunnel Fire Dynamics: Experimental Investigation And Ai-Driven Characterization Of Flame Behavior, Jingmin Xu, Rui Tian, Ashish Kakoria, Aamir Iqbal, Tao Yang, Lina Zheng, Guang Xu

Mining Engineering Faculty Research & Creative Works

Underground mine tunnel fires pose serious threats to personnel safety and infrastructure integrity, yet their detection and characterization remain challenging due to complex ventilation environments and limited visibility. This study combines full-scale fire experiments with advanced computer vision analysis to investigate the influence of fire size and ventilation on thermal, chemical, and visual signatures of mine fires. Six full-scall controlled experiments were conducted using two fire pan sizes under three ventilation conditions. Fuel mass loss, temperature distribution, and gas concentrations were systematically recorded using thermocouples, gas sensors, and visual/thermal imaging. Results show that mass loss rate is primarily governed by …

Synthesis Of Bea Zeolite From Coal Fly Ash Nano-Silica Extract: Application In Co2 Adsorption, Alechine E. Ameh, Shabnam Feyziyeva, Jean Luc Mukaba, Keagan Pokpas, Baylar Zarbaliyev, Ojo O. Fatoba, Benoit Louis, Leslie F. Petrik, Oluwaseun O. Oyekola

Mining Engineering Faculty Research & Creative Works

This study demonstrates a circular economy approach to carbon dioxide sorption by re-purposing coal fly ash (CFA) into BEA zeolite using CFA-derived nano-silica and aluminum precursors via hydrothermal synthesis. The XRD patterns, with characteristic peaks at 15° and 37° 2θ, and SEM images both confirmed the complete transformation of the spherical-shaped CFA particles into amorphous nano-silica materials with particle sizes less than 100 nm. The absence of amorphous phases and the formation of high-intensity peaks at 7.8° and 22.8° 2θ further indicated the production of a highly crystalline BEA zeolite, obtained after hydrothermal synthesis durations between 10 and 72 h. …