Engineering Commons^™

Machine Learning For Elderly Behavior And Risk Incident Modeling, Muhammad Tanveer Jan

Electronic Theses and Dissertations

The rapid expansion of the aging population presents critical challenges to healthcare systems, particularly in maintaining independent living, ensuring mobility safety, and optimizing emergency interventions. Traditional monitoring solutions are often fragmented, reactive, and hindered by the scarcity of data regarding rare high-risk events. This dissertation proposes a comprehensive, multi-modal machine learning framework designed to model elderly behavior and predict risk incidents across three critical environments: the home, the vehicle, and the clinical setting.

To address the fundamental challenge of class imbalance in medical and behavioral datasets—where risk events are statistically rare—this research first introduces a dual-phase data augmentation strategy. By …

Advances In Real-Time American Sign Language Recognition System Using Deep Learning Techniques For Enhanced Accessibility, Bader Alsharif

Electronic Theses and Dissertations

Advancements in technology have significantly contributed to the development of innovative tools aimed at improving communication and accessibility for individuals with hearing impairments. This dissertation explores various machine learning and deep learning techniques for recognizing American Sign Language (ASL) gestures, focusing on enhancing accessibility and bridging the communication gap between hearing-impaired and hearing individuals. Traditional machine learning models, such as Random Forest, Support Vector Machines (SVM), and K-Nearest Neighbors (KNN), alongside deep learning architectures like AlexNet, ResNet-50, EfficientNet, ConvNeXt, and VisionTransformer, were investigated for their effectiveness. Experiments conducted on an extensive dataset of 87,000 ASL gesture images revealed exceptional recognition …

Uas Path Planning With Dynamic Rerouting Using A Space-Time Graph, Kimoy Williams

Electronic Theses and Dissertations

UAS systems have emerged as multifaceted technologies with applications across a wide range of sectors. Their ability to access areas that are difficult or unsafe for manned systems has made them invaluable tools in various domains. As a result, UAS have transformed numerous industries, including infrastructure inspection, delivery and logistics, military and defense, as well as precision agriculture and environmental monitoring.

The advancement in UAS technology is fundamentally reliant upon ongoing research efforts in the specialized area of UAS path planning. Optimal flight planning is essential for a UAV to effectively execute its mission’s task safely, effectively, and in congruence …

Interfacial Engineering Of Electrodes And Solid-State Electrolytes For High-Performance Lithium-Ion And Sodium-Ion Batteries, Ahmad Helaley

McKelvey School of Engineering Graduate Student Theses & Dissertations

The rapid expansion of electrified transportation and renewable energy integration demands advanced lithium-ion (Li-ion) and sodium-ion (Na-ion) batteries with enhanced safety, long-term reliability, and high energy efficiency. However, conventional systems employing liquid electrolytes continue to exhibit persistent failure modes, including thermal instability, parasitic interfacial reactions, transition-metal dissolution, and electrode degradation under high-voltage or fast-charging conditions. These limitations become even more critical in solid-state configurations, where insufficient ion mobility and interfacial incompatibility can severely restrict electrochemical performance. The first part of this dissertation develops an atomic-layer-scale interfacial stabilization strategy using atomic layer deposition (ALD) coatings. ZnO-modified graphite anodes in Li-ion cells …

A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management, Lordt Becklines

Dissertations

Artificial Intelligence (AI) is transforming Supply Chain Management (SCM), yet many organizations struggle to assess their readiness for AI adoption and to understand how AI capabilities develop across maturity stages. This dissertation addresses this gap by developing a Capability Maturity Model (CMM) for AI integration in SCM, grounded in Organizational Information Processing Theory (OIPT), the Resource-Based View, and related capability frameworks. The model provides a structured approach for evaluating an organization's information-processing requirements, resource configurations, and alignment needed for effective AI-enabled supply chain operations.

Using a design science research approach, the AI-SCM CMM and its associated assessment instrument were derived …

Isolated Bacillus Licheniformis Sp01 From Daqing Oilfield In Reducing Chromium(Iii) Crosslinked Polymer Residue And Enhancing Oil Recovery, Xiao Hui

Student Works (2020-2029)

After polymer gel formation, the residual partially hydrolyzed polyacrylamide (HPAM) and the crosslinker (Cr3+) caused plugging and decreased oil recovery. Microorganisms can degrade HPAM to address the issues, but Cr³⁺ inhibits the process and reduces oil recovery. This study explores the underexamined biodegradation of HPAM and improved oil recovery in the presence of Cr³⁺, offering new perspectives for microbial enhanced oil recovery (MEOR) after polymer gel formation. HPAM and crude oil were innovatively used as the sole nitrogen(N) and carbon(C) sources to isolate the best-growing strain from Daqing Oilfield produced water, identified as Bacillus licheniformis SP01. The oil displacement potential …

Exploring Noise Induced Extreme Events In Neuronal Oscillators Networks And Machine Learning Forecasts, Hariharan S Mr

Theses and Dissertations

This doctoral dissertation comprehensively investigates the underexplored phenomenon of noise-induced extreme events (EE). The word “extreme” is accompanied by an occurring “event” when the deviation is extreme or higher than that of regular occurrences. These extreme occurrences are rare, abrupt, sudden, and irregular, often causing a profound impact on the system and its surroundings. Tsunami, earthquakes, solar flares, and tornadoes are such events that do not occur often but still significantly cause damage to mankind. This thesis particularly focuses on EE in neuronal systems where sudden synchronization can trigger seizures, tremors, and strokes which serve as classic examples of such …

Effect Of Degree Of Saturation On The Liquefaction Resistance Of Non-Plastic And Low-Plastic Soils, Kayla Rae Sorenson

Dissertations and Theses

Liquefaction and cyclic softening of fine-grained soils pose a significant hazard during earthquakes, yet the cyclic behavior of transitional soils such as silts remains poorly understood. Existing empirical liquefaction evaluation frameworks and ground improvement techniques are largely developed for sands and are not directly applicable to silts, particularly beneath existing infrastructure where conventional mitigation methods are often impractical or cost prohibitive. This knowledge gap is critical in regions such as the Pacific Northwest, where young, loosely deposited silts are prevalent and susceptible to seismic loading.

Microbially induced desaturation (MID) has emerged in recent years as a promising, minimally invasive ground …

Green Roofs For Grey Water Treatment – Comparative Study Of Economic And Environmental Impacts, Shaden S. Attia

Theses and Dissertations

Cities are under more pressure than ever to use sustainable methods for managing water and other resources because of urbanization, climate change, and a lack of water. Standard greywater treatment systems (SGTSs) work well, but they use a lot of resources and don't provide a lot of ecosystem services. Greywater-treating green roofs (GTGRs) have emerged as a promising Nature-Based Solution (NBS), combining wastewater recycling with benefits like regulating temperature, reducing greenhouse gas (GHG) emissions, and reducing the urban heat island (UHI) effect. Even with this potential, there is still not enough real-world research on how GTGRs affect both the economy …

Metal-Free Nitrogen-Enriched Graphitic Carbon Nitride Architectures For Advanced Supercapacitor Energy Storage: Design, Synthesis, And Electrochemical Performance Optimization, Loujain Gamal Mohamed

Theses and Dissertations

Abstract

This thesis addresses the urgent global requirement for efficient energy storage materials by developing and characterizing advanced graphitic carbon nitride (g-C3N4)-based electrode materials for supercapacitors. A facile, low-cost thermal polymerization method produces 2D nitrogen-rich GCN nanosheets exhibiting excellent electrochemical stability and wide voltage windows, enabling symmetric devices with 19.33 Wh/kg energy density and remarkable cycling stability over 21,000 cycles. To overcome intrinsic limitations of pristine GCN, a 3D/2D metal free composite with bio-derived carbon (Bio-Cx) is synthesized, delivering high capacitance, wide potential windows, and ultrahigh energy density of 53.72 Wh/kg in asymmetric configurations paired with mesoporous nitrogen-doped carbon (MPNDC). …

Flexible Fault-Tolerant Multi-Die Fpga-Based Architectures For Varying Space Environments, Yosof Ali Seif El Din Ali Maklad

Theses and Dissertations

It is well-known fact that spacecraft’s electronic components operate in an extreme harsh and varying space environments, beside changing orbit or passing through Van Allan Belts during orbital course results of radiation levels change. This thesis focuses on SRAM-based FPGA systems on-board of such spacecrafts, that are commonly utilized in space applications’ critical applications due to their capabilities and flexibility to reconfigure, since these systems are vulnerable to frequent negative impacts of ionizing radiation, thus inducing soft and hard errors leading to disastrous failures that could jeopardize the entire spacecraft. The soft errors’ effects are frequent yet can be mitigated, …

Comparative Evaluation Of Conventional And Sustainable Concrete Protective Coatings: Performance, Economic, And Environmental, Andro Ebrahim

Theses and Dissertations

Concrete structures are highly susceptible to deterioration from environmental, chemical, and mechanical factors, making protective coatings essential for ensuring durability and reducing maintenance demands. This study aims to compare and evaluate conventional and innovative coating systems for concrete protection across three dimensions—technical performance, environmental sustainability, and life cycle cost efficiency—and to assess whether coatings often regarded or marketed as sustainable genuinely achieve sustainability across these three pillars. Four representative coatings were selected for assessment: epoxy solvent-based, epoxy solvent-free, acrylic water-based, and cementitious. Technical performance was examined through laboratory testing, expert interviews, and multiple real project cases, providing a comprehensive understanding …

Development Of A Novel Innovative Umbrella Falsework System For Concrete Slabs, Abdelazem Hashim

Theses and Dissertations

Formwork is one of the major elements that contribute to the cost and duration of concrete building projects. This is why optimizing such an element can lead to huge savings to all parties involved in the construction projects. With contractors facing huge challenges in such a competitive industry and employers seeking the least price and least duration for their projects, contractors are constantly under the obligations of finding the best alternatives to deliver their projects in terms of both time and money. Therefore, the main aim of this research project is to develop a falsework system, where the falsework system …

Sustainable Construction Materials In The Middle East: Model Development For Materials Selection, Taha Ahmed Omar Madu

Theses and Dissertations

The construction industry, a major driver of economic development in the Middle East, is simultaneously a leading contributor to carbon emissions, resource depletion, and environmental degradation. Amid rapid urbanization in countries such as Egypt, Saudi Arabia, and the United Arab Emirates, the adoption of sustainable construction materials has emerged as a critical strategy for mitigating environmental and societal impacts while advancing regional development objectives. This thesis is organized along two interrelated directions: first, it delivers a comprehensive assessment of the current adoption, challenges, and opportunities associated with the use of sustainable construction materials across the three target countries; second, it …

Proposed Modifications To The Egyptian Concrete Code Based On A Comprehensive Sustainability Assessment Of Portland Cement Alternatives For Climate Change Mitigation, Yasmin Elhakim

Theses and Dissertations

Climate change is a major challenge facing planet earth today. This phenomenon is foreseen to continue to represent a major concern for decades to come. The construction industry is one of the most polluting sectors worldwide and is considered one of the top greenhouse gas emitters. Egypt, in particular, is one of the most vulnerable countries to the adverse effects of climate change. The construction sector plays a major role in Egypt’s economy, contributing significantly to the national GDP, yet it also represents one of the country’s largest greenhouse gas emitters. However, the Egyptian Concrete Code does not enforce the …

Scalable And Fault-Tolerant Network Architectures For Real-Time Video Transmission In Industrial Networked Control Systems, Moustafa Awad

Theses and Dissertations

This thesis addresses the challenge of transporting supervisory video alongside time-critical control traffic in industrial Networked Control Systems (NCS) without violating stringent real-time constraints. A simple yet scalable network architecture is developed and evaluated for a plant-level deployment comprising three interconnected workcells with sensors, controllers, actuators, and cameras. The design explicitly accommodates bandwidth-intensive video streams while preserving the responsiveness of watchdog/control traffic. Analytical delay modeling decomposes end-to-end latency into transmission, propagation, processing, and queuing components, and Riverbed-based simulations are used to validate the model under realistic mixed-traffic conditions. A traffic-engineering strategy - phase-shifting supervisory camera transmissions - effectively desynchronizes frame …

Inspect: Intelligent Node-Based System For Ifc Processing And Evaluation, With Conversational Tool Support —Llmassisted Natural Language Ifc Querying, Basel Abdelshaheid

Theses and Dissertations

Industry Foundation Classes (IFC) enables the open exchange of Building Information Models, yet effective validation of real-world IFC deliveries remains challenging. Project models frequently contain incomplete, inconsistent, or incorrectly exported metadata, and explicit IFC relationships are often missing or degraded during conversion from proprietary formats. Many validation questions are inherently spatial, including connectivity, containment, proximity, and clashes, and therefore cannot be answered reliably from properties alone. As a result, federated model validation is often slow, fragmented across tools, and dependent on specialized IFC expertise.

This challenge is increasingly important for coordination, quality assurance, and information management across disciplines and lifecycle …

Nlp-Based Comparative Assessment Of Clauses Quantifying Risk Transfer In Construction Contracts, Hoda M. Elshamy

Theses and Dissertations

Employers in the construction industry mostly deviate from standard contract forms such as FIDIC and NEC, by introducing alterations to the contract conditions that shift a great portion of risks from the client to the contractor. Originally, these risks were distributed more equitably between all contracting parties in the standards forms. The imbalances in the contractual conditions create fertile ground for conflicts, and if not resolved, will escalate to disputes during the project execution phase, leading to significant cost overruns and time delays. The contractors, therefore, attempt to restore the original balance through making amendments to the communicated contract, through …

Dynamic Multi-Layered Hardware Obfuscation With Behavioral Drift Locking For Sat-Resistant Designs, Ahmed Yehia Salah Mohamed Emish

Theses and Dissertations

The globalization of the semiconductor supply chain has introduced critical vulnerabilities, including intellectual property (IP) piracy, reverse engineering, and hardware tampering. While traditional logic locking offers a baseline of defense, the emergence of powerful Boolean satisfiability (SAT) solvers has rendered many static obfuscation techniques ineffective. This work proposes a Dynamic Multi- Layered Hardware Obfuscation Framework that utilizes Behavioral Drift Locking (BDL) to provide a robust defense-in-depth against advanced adversarial models. The methodology integrates four synergistic layers: • Dynamic Key Management using a time-dependent rotation mechanism that updates keys every clock cycle to prevent static analysis. • Control Obfuscation through opcode …

Development Of A Decision-Making Framework For Selecting A Project Delivery Method For Public Sector Construction Projects In Malaysia, Mohd Idham Mohd Noor

Student Works (2020-2029)

Public sector construction projects play a crucial role in economic development and public service delivery, requiring effective project management to ensure optimal public expenditure and successful outcomes. Selecting an appropriate Project Delivery Method (PDM) is a critical yet unstructured process in the Malaysian public sector, influenced by various constraints such as administrative regulations, stakeholder interests, and policy compliance. Despite existing studies on PDM decision-making, research on Malaysia’s public sector remains limited. This study aims to develop a decision-making mechanism for determining appropriate PDM for Malaysia's public sector construction projects. The research adopts an interpretivist approach using a qualitative multiple-case study …

Developments Of New Metal-Free Batteries And Self-Charging Batteries For Sustainability, Abhishek Paudel

LSU Doctoral Dissertations

The growing concerns over the limitations and environmental impact of conventional lithium-ion batteries (LIBs) have driven the search for more sustainable energy storage solutions. Metal-free batteries, such as those utilizing ammonium ions (NH₄⁺), offer a compelling alternative due to their non-toxic nature, abundant availability, and unique electrochemical properties. The NH₄⁺ ion's lower molar mass and distinct tetrahedral structure enable efficient charge transfer and intercalation, distinguishing it from traditional metal ions and potentially improving battery performance. Self-charging batteries, which integrate piezoelectric materials to harvest ambient mechanical energy, present a significant advancement in energy storage technology. By capturing and converting mechanical energy …

Project Risk Management In Ai-Enabled Systems: Managing Ethical, Privacy, And Governance Risks, Onome Cynthia Anakanire

Harrisburg University Dissertations and Theses

This research examined how Artificial intelligence (AI) has been embedded in project-based work, particularly in finance and software industries, where it enables efficiency and assists in complex decision-making. However, these innovations introduce significant ethical, privacy, and governance risks that traditional project risk management frameworks fail to adequately address. This study investigated how project managers can systematically integrate the management of these emerging risks into AI-enabled projects. Using a qualitative research design, the study drew on semi-structured interviews with project managers, compliance officers, and AI developers in finance, software and related sectors. Supplementary data included internal project documentation and risk registers. …

Electromagnetic Simulations For Vulnerable Road User Safety In 5g/6g Wireless Systems, Colin Mcnerny

Theses and Dissertations

Protecting vulnerable road users is imperative. As 5G wireless technology matures and 6G standards are established, new operational technology emerges to reduce traffic accidents. There is widespread evidence to support the need for pedestrian awareness in modern traffic ecosystems as a significant number of vulnerable road users are injured or killed every year due to observable traffic failures. Computational electromagnetic (CEM) solvers are used to model, simulate, and analyze the performance of antennas deployed to meet this challenge. Validation studies using the Altair FEKO CEM solver demonstrate scenarios where vulnerable road users are at risk. The simulation data in this …

Characterizing The Effect Of Plasticity Index On Monotonic And Cyclic Shear Behavior Of Natural Low-Plastic Silt Mixtures, Amir Barati-Nia

Dissertations and Theses

Low-plasticity silts are "transitional" soils prevalent in many seismically active regions, including the Pacific Northwest. Most research in the literature has historically focused on sand materials or clay materials, while low plastic silt does not fit either traditional "sand-like" or "clay-like" frameworks, resulting in a knowledge gap regarding this type of soil. Knowing the behavior of this type of soil is more important because it is susceptible to liquefaction or cyclic softening. Existing research on low-plastic silts is mostly based on either intact soil, where some parameters, such as the overconsolidation ratio (OCR) and plasticity index (PI), cannot be accurately …

Neuromodulation In Olfactory Networks: Inferring Circuit Motifs And Predicting Behavioral Outcomes From Neural Response Changes, Yelyzaveta Bessonova

McKelvey School of Engineering Graduate Student Theses & Dissertations

Many organisms rely on olfaction to navigate their environment in response to surrounding chemical cues. Within the olfactory system, first, external signals are transduced into neural activity patterns that drive a diverse array of behavioral responses. However, sensory processing alone does not fully account for this variability. Fluctuations in neuromodulator levels are equally critical in shaping how olfactory information is encoded and translated into behavior. The goal of this dissertation is to investigate how changes in the neurochemistry within the olfactory circuit influence neural signaling and, ultimately, behavioral responses. To achieve this, I investigated how three neuromodulators: serotonin, dopamine, and …

Cellular Therapy For The Treatment Of Ischemic Limb Disease, Akazha Nicole Green

ETDs from 2020-2029

Ischemic limb disease continues to pose major clinical challenges. The effect of this disease causes restricted blood flow, which is followed by a limited ability to regenerate in the vascular tissues. The purpose of this study is to address the current limitations in producing large-scale generation of Smooth Muscle Cells (SMCs) derived from human induced pluripotent stem cells (hiPSCs) and then assessing their potential therapeutic efficiency individually and in combination with endothelial cells (ECs) for vascular repair. A dynamic three-dimensional (3D) culture system was integrated with a two- dimensional (2D) expansion to enhance cell culture yield while maintaining contractile marker …

Manufacturing And Material Property Verification Of Short Fiber Particle Reinforced Composites, Megan Elise Howell

Graduate Theses - Mechanical Engineering

This thesis investigates the manufacturing, testing, and material property verification of short fiber and particle reinforced polymer composites intended for use in flywheel energy storage systems. Composite tensile specimens were fabricated using controlled mold geometries and autoclave-assisted curing to improve consolidation quality and reduce void content. Short carbon fibers and particulate reinforcements were selected to balance mechanical performance, manufacturability, and isotropy for high-speed rotor applications. Tensile testing was performed using a tensile testing machine, and machine compliance effects were quantified and removed to obtain accurate elastic moduli. Experimental results were compared against analytical micromechanics predictions to evaluate stiffness trends and …

City Farm Slo Sheep Shed Concrete Slab Installation, Jake Simkins, Elijah Burt, Finnbarr Kelly

Construction Management

The City Farm SLO Sheep Shed Foundation Slab project, undertaken by California Polytechnic State University, San Luis Obispo Construction Management students, aimed to improve the structural integrity and longevity of an existing livestock shelter at City Farm SLO. Initiated in coordination with Shane Lovell, owner and operator of City Farm SLO, and guided by Construction Management faculty member Mark Montoya, the project integrated community service with practical application of structural concrete construction principles. The scope involved temporarily removing an existing sheep shed from within an active livestock pen, preparing subgrade in muddy winter conditions, and constructing a reinforced 5-inch, 4500 …

Utilization Of Plastic Waste In The Concrete Industry, Nancy Abdelmoneim Sakr

Theses and Dissertations

Plastic recycling has emerged as a crucial strategy that aligns with environmental, social and economic sustainability indicators. Currently, substantial volumes of plastic waste are either deposited in landfills or incinerated, neglecting the potential to harness its embodied energy and the energy consumed for producing virgin materials. A key advantage of plastic lies in its promising mechanical properties. Concrete mix design is fundamental to a wide range of construction applications, including brick walls, reinforced concrete slabs and concrete pavements. Despite the adoption of recycled plastic in construction materials in various countries, its widespread implementation remains limited. This is primarily due to …

Resilience By Design: A Multi-Metric Assessment Of Urban Vulnerability Across Human-Centric, Built, And Climatic Environment Dimensions, Karim Abdelhady

Theses and Dissertations

Urban resilience and sustainability have emerged as fundamental imperatives in contemporary urban planning, as cities face mounting pressures from climate change, population growth, and increasing socio-economic disparities. Resilient urban systems are not only those that withstand shocks, but also those that ensure the long-term well-being, equity, and functionality of their environments. As such, advancing the capacity to systematically evaluate resilience across spatial and temporal scales is critical to informing adaptive, forward-looking planning strategies. Despite a growing body of research on urban resilience, prevailing approaches remain limited in scope and resolution. Many studies tend to examine resilience through isolated lenses—focusing either …