End-To-End Neural Network Based Optimal Control For Asymmetric Quadrotor Uas, Ross O'Hara

Graduate Theses, Dissertations, and Problem Reports (ETD)

This thesis presents the development and evaluation of a neural network-based optimal controller for asymmetrically loaded quadrotor unmanned aerial systems (UAS). Traditional control strategies such as PID are typically designed under symmetry assumptions and often degrade in performance when faced with significant loading asymmetries. To address this, a six-degree-of-freedom quadrotor model incorporating rotor dynamics and center-of-mass offsets was developed. A trajectory optimization framework using MATLAB’s fmincon solver generated over 50,000 energy-optimal trajectories across symmetric and asymmetric conditions. These were used to train a range of feedforward neural network architectures in a full-factorial study.

The best-performing controller was identified, having five …

Developing A Simplified Method Of Measuring Ultrafine Particulate Matter Dose Concentrations For Diesel Emissions, Nafisat Ohunene Isa

Graduate Theses, Dissertations, and Problem Reports (ETD)

Abstract

Developing a Simplified Method of Measuring Ultrafine Particulate Matter Dose

Concentrations for Diesel Emissions

Ultra-fine particulate matter (UFP), particularly from diesel emissions, poses significant health and environmental risks due to its small size and potential to penetrate deep into the respiratory system. Accurate measurement of UFP concentrations is essential for assessing exposure and mitigating health impacts. However, current methods for measuring UFP can be complex, time-consuming, and costly. This study aims to develop a simplified method for efficiently measuring UFP concentrations from diesel emissions, which will enable easier and more widespread monitoring of air quality and public health impacts. …

Individual And Collective Properties Of Tunable Photochemical Belousov-Zhabotinsky Micro-Reactors, Kudakwashe Benedict Shumba

Graduate Theses, Dissertations, and Problem Reports (ETD)

Cell-like model chemical systems are powerful tools that can be used to explore the role of intercellular coupling on population level behaviors in communities of biological cells. Firstly, we present a new method for fabricating such micro-reactors using the photosensitive Belousov–Zhabotinsky (BZ) reaction system employed in silica microparticles. These BZ micro-reactors have a tunable response to photochemical coupling, varying from a fully excitatory response to a fully inhibitory response. Their response can be tuned through variations in either the reactive mixture or, on an individual micro-reactor level, by changes in the synthesis temperature used during the fabrication of the silica …

Authoritarian Control Over Election Administration, Nazar Boyko

Graduate Theses, Dissertations, and Problem Reports (ETD)

Street-level election bureaucracy (SLEB) remains one of the least studied aspects of authoritarian elections. Our current understanding of micro-level election administration in autocracies is fragmented and unsystematic. In this dissertation, I develop and test a theory of authoritarian SLEB that comprehensively addresses key elements of election administration: the incentivization and mobilization of election commissioners, the establishment of control over election commissions, the monitoring of their performance, and the post-election reshaping of their personnel composition. Drawing on rational choice theory, I propose a framework in which autocrats are seen as outcome-maximizers who strategically design SLEB to achieve their electoral goals. The …

Global China In Pakistan: Mixed-Methods Analysis Of Symbolic Domination, Social Media Geopolitics, And Security Corridors, Davide Giacomo Zoppolato

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation explores the discursive and material dimensions of China’s global rise through a case study of the Belt and Road Initiative (BRI) in Pakistan. As China becomes a leading provider of development finance, its infrastructure-led approach is reshaping geographies across the Global South. Focusing on the China–Pakistan Economic Corridor (CPEC)—the BRI’s flagship project—I examine how Chinese and Pakistani actors co-produce development through discourses, infrastructures, and security regimes. Structured around three articles, the dissertation analyzes: (1) the official diplomatic discourses of Chinese state institutions and their reception by Pakistani media outlets; (2) the curated geopolitical discourses of Chinese social media …

Introduction Of Polar Functional Groups To Pyridinedipyrrolide Zirconium Photosensitizers Through Post-Synthetic Modifications, Marisa Nicole Tordella

Graduate Theses, Dissertations, and Problem Reports (ETD)

Photosensitizers are vital components to applications such as photoredox catalysis, photodynamic therapy, and various avenues of solar energy production. The abilities of transition metal photosensitizers containing precious metals have been well studied over the years. However, because of the growing scarcity of these metals, there has been a shift in finding more earth abundant alternatives. To help fill this gap in the literature, the Milsmann group has developed and studied the photophysical properties of Zr(IV) complexes with various ligand systems. Due to the electron deficient metal center, these complexes exhibit ligand-to-metal charge transfer (LMCT), unlike the metal-to-ligand charge transfer commonly …

Investigation Of Spalling Effects On The Brittle Behavior Of Rectangular Pillars In Underground Stone Mines, Yolver Yesid Jimenez Ibanez

Graduate Theses, Dissertations, and Problem Reports (ETD)

Recent catastrophic collapses in U.S. limestone mines have exposed the limitations of traditional empirical design formulas for brittle rock masses. These events, especially those involving slender pillars, underscore that traditional methods often fail to account for progressive, spalling-dominated failure, highlighting a crucial gap in our understanding. This research addresses this issue by conducting a comprehensive investigation into the mechanics of spalling in rectangular stone mine pillars, utilizing advanced three-dimensional numerical modeling with FLAC3D combined with LiDAR-based geometric modeling.

The stability of a pillar is governed by a complex interaction between the in-situ stress field, rock mass properties, and pillar geometry. …

Rare Earth Element Recovery From Acid Mine Drainage Using Ion Exchange And Selective Precipitation Processes, Paubla Andrea Gallego Lopez

Graduate Theses, Dissertations, and Problem Reports (ETD)

Rare earth elements (REEs) are used in high-tech applications due to their electromagnetic and optical properties. As global demand for REEs surges, the limitation of primary mineral deposits has increased interest in alternative sources. One such source is acid mine drainage (AMD), which, although typically low in REE concentration, offers a promising avenue for recovery. Among the emerging recovery methods, ion exchange has shown promise due to its effectiveness at low concentrations and lower operational cost than conventional techniques such as acid leaching and solvent extraction.

This research focused on developing a recovery process by combining ion exchange with selective …

From Sequencing To Conservation: Genomic Analysis Of Three Sportfish Species In West Virginia, Andrew Johnson

Graduate Theses, Dissertations, and Problem Reports (ETD)

Situated in the Appalachian Mountains, one of the oldest mountain ranges on Earth, West Virginia waters boast rich ichthyofauna including native sportfish species walleye (Sander vitreus), largemouth bass (Micropterus nigricans), and muskellunge (Esox masquinongy). These three species are all native to the contemporary Ohio River watershed and play a major recreational and ecological role in local fisheries. Ecologically, all three species are apex predators and play a key role in ecosystems by directly influencing local fish assemblages. As dominant apex predators all three species are highly sought after in recreational fisheries with largemouth bass …

Mineralogical And Geochemical Assessment Of Rare Earth Element And Other Critical Mineral Occurrences In Coal-Derived Materials For Resource Recovery Potential, Sai Hemanth Kancha

Graduate Theses, Dissertations, and Problem Reports (ETD)

Rare earth elements (REEs) and other critical minerals (CMs) are indispensable to modern clean energy, electronics, and defense sectors due to their unique physical and chemical properties. The increasing global demand for these elements—combined with concerns about supply chain disruptions and the environmental impact of conventional mining—has heightened the urgency to identify alternative, sustainable sources. Among various secondary resources, coal-derived wastes such as coal refuse, fly ash, bottom ash, and coal acid mine drainage sludge have emerged as promising feedstocks for REE and CM recovery within the United States.

In this study, a comprehensive mineralogical and geochemical assessment was performed …

Using Data Science And Sustainability Assessment Tools To Evaluate Wastewater Treatment Technologies, Haidar Shakuir Aldaach

Graduate Theses, Dissertations, and Problem Reports (ETD)

Wastewater management in small communities has faced numerous challenges in recent years, including population growth, limited budgets for operation and maintenance, and stringent effluent standards required by environmental regulations. These challenges motivate enhancing wastewater treatment processes to protect water quality. Wastewater treatment performance can be improved in small towns and rural regions by implementing data-driven strategies. Data science, life cycle assessment (LCA), and life cycle cost analysis (LCCA) are three data-driven decision-making tools that require data collection, modeling, computational models, and statistical analysis that could be utilized to improve wastewater treatment efficiencies. In this study, these three tools were adopted …

Filling Research Gaps In Occupational Health In Thermal Spray Coatings: A Scoping Review, Lab Characterization, And Lung Deposition Of Cold Sprayed Emissions, Bailley N. Reggetz

Graduate Theses, Dissertations, and Problem Reports (ETD)

Thermal Spray Coating (TSC) processes are industrial surface treatment methods used to create coatings for repair, protection, and performance enhancement of components exposed to wear, corrosion, heat, or other harsh conditions. The most commonly used TSC techniques (flame spraying, electric arc spraying, HVOF spraying, plasma spraying, and cold spraying) are used across numerous industries including aerospace, automotive, biomedicine, and energy due to their ability to enhance surface properties such as providing corrosion resistance, wear resistance, and thermal insulation. While TSC techniques have been commercially available for nearly a century, they have undergone continuous development to accommodate more specialized applications, unique …

Revitalizing The Urban Riverfront: Redesigning The West End Bridge In Pittsburgh,Pa For Sustainable Multi-Use Connectivity And Public Space Creation., Mina Kargari Rezapour

Graduate Theses, Dissertations, and Problem Reports (ETD)

Urban waterfronts are critical assets for cities, offering opportunities for ecological restoration, public engagement, and multi-modal transportation. However, many riverfronts remain underutilized due to infrastructure barriers and lack of accessibility.

Pittsburgh’s riverfront is dynamic asset that supports recreation, cultural expression, and community interaction. The Three River Heritage Trail Loop, a visionary project led by River Life over the past 20 years, seeks to connect diverse neighborhoods and natural assets along the city’s rivers. At the heart of this initiative is the West End Bridge, serving as the bookend and a pivotal gateway to complete the loop and critical link for …

Tobacco And Trouble: Exploring The Health Consequences Of Electronic Cigarette Use In Adolescents, Noor Ibrahim Abdulhay

Graduate Theses, Dissertations, and Problem Reports (ETD)

Background: Tobacco use remains one of the leading causes of preventable disease and death in the United States (U.S.). Although conventional cigarette use among youth has declined, the use of electronic cigarettes (e-cigarettes) has become highly prevalent and poses emerging public health concerns. Adolescence represents a critical developmental period for both oral and mental health, making it essential to understand the consequences of tobacco and nicotine exposure during this stage. The goal of this dissertation is to examine the health impacts of tobacco use in adolescents across multiple domains. Specifically, this research (1) synthesizes existing evidence on the relationship between …

Framework To Guide The Review And Update Of Wvdoh Schedule Review Practices And Specifications, Myles Joshua Avery

Graduate Theses, Dissertations, and Problem Reports (ETD)

Roadway and bridge construction projects are often complex, necessitating high quality schedules to ensure the work is completed on time and within budget. The West Virginia Division of Highways (WVDOH) utilizes scheduling procedures and policies outlined within the Prosecution and Progress section of its Standard Specifications for Roads and Bridges to ensure timely and cost-effective project deliveries. Recently, concern has risen that the existing language within this section is outdated and fails to cater to modern scheduling techniques, technologies, and industry practices. In turn, WVDOH personnel question whether schedules that follow the existing specifications align with the complexities, types, values, …

Assessing And Predicting The Impact Of A Retrofitted Methane Mitigator On Non-Road Large Natural Gas Engines Using Artificial Neural Networks, Augustine Thomas Ojo

Graduate Theses, Dissertations, and Problem Reports (ETD)

Abstract

ASSESSING AND PREDICTING THE IMPACT OF A RETROFITTED METHANE MITIGATOR ON NON-ROAD LARGE NATURAL GAS ENGINES USING ARTIFICIAL NEURAL NETWORKS

Augustine Thomas Ojo

Methane emissions from the oil and gas sector present a pressing environmental and economic challenge, given methane’s high global warming potential and the considerable volumes of unutilized gas lost from industrial processes. This study investigates the impact of a retrofitted methane mitigation system, the Methane Mitigator (M²), on fuel consumption and engine-out emissions in non-road, four-stroke natural gas-powered, lean-burn engines and develops predictive Artificial Neural Network (ANN) models to estimate the resulting engine-out emissions and fuel …

The Impact Of Skew On The Flexural Behavior Of Press-Brake-Formed Tub Girders, Matthew Allan Weatherholt

Graduate Theses, Dissertations, and Problem Reports (ETD)

The Short Span Steel Bridge Alliance (SSSBA) is a group of bridge and buried soil steel structure industry leaders who have joined together to provide educational information on the design and construction of short span steel bridges in installations up to 140 feet in length. Press-brake-formed-tub-girders (PBFTGs) were developed by a technical working group within the SSSBA in response to a rising demand for rapid infrastructure replacements for short span bridge applications. PBFTGs are produced from structural steel plate and can be finished as weathering steel or galvanized. After being cold bent to the appropriate shape, shear studs are welded …

Synergetic Effect Of Cellulose And Chitosan Polymers In Cancer Treatment, Grace Peterson

Graduate Theses, Dissertations, and Problem Reports (ETD)

This research explores the development of a biocompatible, natural drug delivery system designed for targeted cancer therapy. Lung cancer cells are used in these particular tests, but further research indicates treatment could be used for various cancer types. Traditional cancer treatments like chemotherapy are often limited by poor selectivity for tumor cells, causing significant damage to healthy tissues. The study proposes a dual-layered delivery system, utilizing Carboxymethyl Cellulose (CMC) as the core material and a charge-reversible chitosan shell to encapsulate and target cancer drugs. CMC, with its water solubility and ability to form stable gels, serves as a stable drug …

Fundamental And Applied Investigation Of Ammonia Combustion: Characteristics And Emissions At Relevant Ic Engine Conditions, Luis Fernando Alvarez Correa

Graduate Theses, Dissertations, and Problem Reports (ETD)

Ammonia (NH3) is regarded as a promising fuel for future carbon-free power and propulsion systems due to its high hydrogen content, ease of storage, and existing infrastructure. Despite these advantages, NH3 exhibits inherently poor combustion characteristics, including low laminar burning velocity, high ignition energy, narrow flammability limits, and sluggish chemical kinetics. These limitations were solved in prior research by blending NH3 with hydrogen (H2) or hydrocarbons, which improved reactivity but introduced trade-offs such as increased complexity, safety concerns, or carbon emissions. Consequently, there remains a significant lack of fundamental and applied research on neat NH3 combustion, particularly under engine-relevant conditions …

Deep Target Recognition: Semi-Supervised Annotation, Sensor Fusion And Super-Resolution, Shoaib Meraj Sami

Graduate Theses, Dissertations, and Problem Reports (ETD)

Despite the recent expansion of machine learning algorithms to cover a wide range of disciplines, several areas of automatic target recognition (ATR) remain underexplored. This dissertation presents tools developed to improve performance in three significant aspects of ATR: semi-supervised annotation, sensor fusion, and image super-resolution. The aim of the semi-supervised methods is to automatically annotate targets in scenarios where labeled data are scarce in the target domain but available in the source domain. Secondly, to address the limitations of individual image sensors and enhance robustness under different environmental conditions and man-made constraints, a sensor fusion algorithm was developed to improve …

Replicating The Functionality Of Ghost Knifefish Cerebellar Feedback Using Synthetic Nervous Systems, Sheldon Paul Cj Johnson

Graduate Theses, Dissertations, and Problem Reports (ETD)

Sensory inputs allow animals to perceive, react, and adapt to an environment. However, the sensory information received by the body, such as visual, auditory, and proprioceptive information, could become overwhelming, thus overloading the brain. Yet, animals can process all this information by canceling redundant signals from their surroundings, allowing them to be more sensitive to novel or unexpected signals in their environment. Each species (i.e., birds, fish, mammals) has its own way of using and filtering sensory information, from auditory to locomotion adaptivity. Cerebellar circuits contribute to sensory filtering in a variety of systems. In particular, research on Ghost knifefish …

Identifying The Role And Influence Of Interleukin-27 On The Neonatal Immune Response, Jordan Kane Vance

Graduate Theses, Dissertations, and Problem Reports (ETD)

The first month of life is a critical and vulnerable developmental stage, characterized by a heightened risk of life-threatening infections. Each year, 1.3 million newborns succumb to neonatal bacterial sepsis. The immune system during the neonatal period has unique features that lead to inefficiencies at clearing infection. Early life immunity is characterized by a Th2-biased profile with decreased IL‑12, IFN-γ, and TNF-α, along with increased IL‑6 and IL‑23. Additionally, IL‑27, an immunosuppressive cytokine, is also elevated during this period and further contributes to susceptibility to infection. Early diagnosis and intervention are critical in administering effective care in newborns and there …

Artificial Engineering Intelligence Proxy Modelling For Numerical Reservoir Simulation Of Co2 Injection, Mohammad Altahow

Graduate Theses, Dissertations, and Problem Reports (ETD)

Abstract

Artificial Engineering Intelligence Proxy Modelling for Numerical Reservoir Simulation of CO2 Injection

Mohammad Altahow

This study uses Artificial Intelligence (AI) and Machine Learning (ML) to improve the speed and efficiency of reservoir simulations for CO₂ storage applications. Numerical reservoir simulators, such as CMG, provide accurate predictions but demand extensive computational time and resources, making them impractical for rapid scenario analyses. To tackle this challenge, I developed a Smart Proxy Model using Artificial Neural Networks (ANNs) within the Improve software platform to replicate the results of numerical reservoir simulations conducted with CMG.

The framework predicts key reservoir performance indicators, including …

Applications Of Deep Learning For Optimizing Fingerphoto And Latent Fingerprint Biometrics, Amol Sanjay Joshi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Fingerprint-based biometric recognition remains one of the most dependable and widely adopted approaches for identity verification due to its permanence and distinctiveness. Recent advancements in mobile and contactless imaging have extended fingerprint acquisition beyond controlled environments into unconstrained, real-world conditions through fingerphotos, contactless fingerprint images captured by digital or smartphone cameras. While this paradigm shift enhances accessibility and user convenience, it introduces significant technical challenges. Variations in illumination, focus, and motion blur often degrade ridge patterns, making accurate feature extraction and matching more difficult. Similarly, in forensic applications, latent fingerprints, incomplete or smudged prints lifted from surfaces, pose unique challenges …

Feasibility Testing Of A Web-Based Phq-9 Test For Student Depression, Israel Oluwagbenga Odugboye

Graduate Theses, Dissertations, and Problem Reports (ETD)

Feasibility Testing of a Web-Based PHQ-9 Test for Student Depression

Israel Odugboye

Student depression stands as a critical public health issue because it affects numerous young adults who experience academic decline, disability, absenteeism, productivity reduction, and suicidal thoughts. The general population shows a 10% to 15% lifetime risk of developing depression which leads to a twentyfold elevation in suicide risk for depressed individuals [3]. The Patient Health Questionnaire-9 (PHQ-9) serves as a popular tool for detecting depressive symptoms and determining severity levels among students from different cultural backgrounds. The assessment contains 27 possible scores which follow DSM depressive symptom criteria …

Weakly Reversible Deficiency Zero Realizations Of Polynomial Dynamical Systems, Neal Ryan Buxton

Graduate Theses, Dissertations, and Problem Reports (ETD)

Weakly reversible, deficiency zero (WR0) systems form a large class of polynomial ODEs modeling chemical reaction networks. Their behavior is exceptionally stable: they have unique positive steady states, which are locally asymptotically stable (they are also conjectured to be globally asymptotically stable). This powerful result (the Deficiency Zero Theorem) applies to a large class of high dimensional, nonlinear polynomial dynamics, and is independent of the choice of parameters in the model. In this dissertation we present two algorithms that expands the scope of the Deficiency Zero Theorem to:

1. Networks with WR0 realizations, i.e. networks that are not necessarily WR0 …

Evolving Secure Authentication From 5g To 6g: Advancing Privacy And Resilience In Next-Generation Networks, Isabella Deanne Lutz

Graduate Theses, Dissertations, and Problem Reports (ETD)

The fifth generation (5G) of mobile networks introduced groundbreaking improvements in connectivity, latency, and reliability. As 5G continues to expand across commercial and de- fense sectors, ensuring the privacy and integrity of its authentication mechanisms remains paramount. The foundation of 5G security lies in the Authentication and Key Agreement (AKA) protocol, which enhances user identity protection and establishes mutual authenti- cation between the user equipment (UE) and the network. Despite these advances, several weaknesses persist, including replay-based desynchronization, linkability, and correlation at- tacks under realistic adversary models. This thesis provides a unified analysis of these vulnerabilities and introduces a lightweight …

A Durability Evaluation Of Class B Concrete Bridge Substructures Under West Virginia Freeze–Thaw Conditions, Nathaniel Wayne Dunbar

Graduate Theses, Dissertations, and Problem Reports (ETD)

This study evaluates whether the West Virginia Division of Highways (WVDOH) Class B concrete specification for bridge substructures remains adequate under modern durability and design-life expectations. The current specification, which permits a minimum compressive strength of 3,000 psi, reflects practices established when shorter service lives were generally assumed. Modern AASHTO LRFD provisions are based on a 75-year design life, raising concern that this lower-strength concrete may not provide sufficient durability under West Virginia’s climatic conditions.

To address this issue, bridge inspection data, regional climate mapping, and durability modeling were used to assess the condition and performance of concrete substructures across …

Parameter Estimation Of A 100 Seater Simulated Passenger Aircraft, Michael James Winston

Graduate Theses, Dissertations, and Problem Reports (ETD)

Virtual flight test aircraft provide good opportunities to test new parameter estimation methods. However, good estimates for the parameters in VIRTTAC Castor, a virtual test aircraft, are unavailable. This thesis uses two well-established time domain methods, the Output Error Method and the Filter Error Method, to estimate the parameters of VIRTTAC Castor. Three standard maneuvers were used: Elevator 3-2-1-1, Rudder Doublet, and Aileron Multi-Step. The parameters were estimated across three different flight conditions: weight, altitude and air speed, which resulted in 27 tests for each maneuver. All parameters, and standard deviations estimated are included in the appendix as a table.

Development Of A Model To Estimate Engine Crankcase Methane Vent Emission Rates, Juan Pablo Rincon

Graduate Theses, Dissertations, and Problem Reports (ETD)

The primary focus of this research is the modeling and validation of crankcase methane emissions stemming from natural gas combustion engines commonly deployed in the natural gas compression industry. The models employed rely on equations predicting the flow rate and composition of losses, typically generated within reciprocating piston-cylinder systems. Since crankcase emissions originate in a piston–cylinder arrangement, multiple variables were considered in this study, including displaced volume, pressure, temperature, flow, and viscosity (with corrections applied to account for the thermal and compositional effects on the mixture of fluids). The initial data for this research was collected during three measurement campaigns …