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Asymptotic And Series Methods For Nonlinear Differential Equations With Applications In Mathematical Physics, W. Cade Reinberger May 2026

Asymptotic And Series Methods For Nonlinear Differential Equations With Applications In Mathematical Physics, W. Cade Reinberger

Theses

This work advances a general framework to obtain the solution of nonlinear ordinary differential equations (ODEs) via power series methods. The approach is demonstrated through problems relevant to mathematical physics. Power series solutions can offer advantages over other numerical techniques in many applications, including increased convergence and computational efficiency. The theoretical basis for power series and their convergence rests in the complex-analytic structure of the function being computed. The existence of convergence-limiting singularities in the complex plane, their location, and their asymptotic behavior motivate analytic continuation techniques to overcome their influence. This work demonstrates some methods to manage singularities, not …

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The Efficacy Of Ethical Data: An Analytical Study By, Lamar Gebara May 2026

The Efficacy Of Ethical Data: An Analytical Study By, Lamar Gebara

Theses

As artificial intelligence and machine learning models become increasingly embedded in decision-making systems across industries, questions about the ethical sourcing of data have grown more pressing; model performance relies heavily on vast, diverse datasets, many of which are harvested without consent, transparency, or equitable representation. This study aims to compare analytics outcomes (accuracy, bias, fairness, and explainability) between ethically sourced and unethically sourced datasets. Using CRISP-DM methodology, the study will develop matched classification models on both dataset types, evaluate their performance and fairness using open-source tools such as Fairlearn and AIF360, and assess broader implications for trust, accountability, and regulatory …

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A Reconfigurable Architecture For Dense And Sparse Matrix Multiplication In Processing-In-Memory, Timothy Avila May 2026

A Reconfigurable Architecture For Dense And Sparse Matrix Multiplication In Processing-In-Memory, Timothy Avila

Theses

Traditional Von-Neumann computing architectures suffer from a fundamental limitation known as the memory wall, where performance is constrained by the cost of data movement between memory and processing units rather than by computational capability. This limitation is particularly pronounced in data-intensive workloads such as machine learning (ML) and hyperdimensional computing (HDC), where matrix-vector operations dominate execution and are often memory-bound. Processing-in-Memory (PIM) architectures have emerged as a promising approach to mitigate this bottleneck by enabling computation to occur within or near memory, thereby reducing data movement overhead. However, due to these processors' specialized nature and the limited integration of general-purpose …

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Loosie: A Nesting Furniture Collection, Maurice Bryan May 2026

Loosie: A Nesting Furniture Collection, Maurice Bryan

Theses

A persistent challenge in housing design is the efficient use of limited space, particularly in densely populated urban environments, where residents balance comfort with the need to minimize clutter and spatial constraints. This study investigates strategies for optimizing interior space through space-saving methods, using multifunctional furniture design. The primary objective is to develop multipurpose design solutions that enable users to express personal style while maximizing spatial efficiency, with a focus on approaches that emphasize multifunctionality and transformability. These strategies enable residents to use living spaces more efficiently, accommodate a broader range of activities, overcome clutter and spatial constraints, express individual …

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Deaf Space 2.0 - Adapted And Scaled To Large Urban Infrastructures, Youngjin Yi May 2026

Deaf Space 2.0 - Adapted And Scaled To Large Urban Infrastructures, Youngjin Yi

Theses

This thesis investigates how DeafSpace principles can be adapted and scaled beyond interior environments to operate effectively within large urban infrastructures. While DeafSpace has been successfully applied in controlled, building-scale contexts, its potential at the scale of sidewalks, transit hubs, and public circulation systems remains underexplored. Contemporary urban environments rely heavily on auditory cues to communicate movement, safety, and orientation, creating barriers for Deaf and hard-of-hearing individuals and limiting clarity for the public at large. Through architectural observation, spatial analysis, and scenario-based evaluation conducted at the Rochester Institute of Technology campus and downtown Rochester, this research examines how architectural form, …

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Predicting Flight Fares With Machine Learning: Enhancing Aviation Industry Pricing Forecasting, Reem Almulla May 2026

Predicting Flight Fares With Machine Learning: Enhancing Aviation Industry Pricing Forecasting, Reem Almulla

Theses

This research investigates the increasing challenge of accurate flight fare prediction for travel agencies that are functioning and working in the post-pandemic aviation market. As the prices fluctuate while demand is unstable and competition pressure increases, therefore it influences decision-making and profitability. In most cases, traditional ticket pricing methods often can be ineffective when capturing complex and non-linear relationships within factors that influence the ticket fare dynamics. As a result, highlighting the urge of more adaptive pricing and data-driven predictive machine learning models. In response to this challenge, the research examines the effectiveness of machine learning techniques for enhancing flight …

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Genui: Customizing And Improving User Interfaces In Real-Time With Generative Ai, Ursula Parker May 2026

Genui: Customizing And Improving User Interfaces In Real-Time With Generative Ai, Ursula Parker

Theses

MOTIVATION: Users must conform to the interfaces they are given, which are designed for a generalized user base rather than individual workflows or preferences. Existing UI customizations are often limited to fixed options predetermined by developers, restricting meaningful user control. Advances in generative AI introduce the possibility of modifying the underlying code of a production system that defines interfaces, enabling more flexible and targeted adaptations. However, the feasibility, scalability, and usability of such user-driven customization remain open questions. GOAL: The goal of this work is to help people customize their user interfaces, by investigating how they can linguistically specify the …

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Existing Buildings Against Climate Zone Shifts: Analysis Of The Resilience Of Existing Buildings In Changing Climate Zones, Adriana Rodriguez May 2026

Existing Buildings Against Climate Zone Shifts: Analysis Of The Resilience Of Existing Buildings In Changing Climate Zones, Adriana Rodriguez

Theses

This thesis investigates how climate zone shifts affect the hygrothermal performance and durability of existing building wall assemblies designed under previous International Energy Conservation Code (IECC) requirements. As global climate change continues to alter temperature, humidity, and extreme weather patterns, building codes and climate classifications are increasingly challenged to keep pace with current and future environmental conditions. The research focuses on whether 2×6 wood-framed wall assemblies designed under the 2018 IECC remain resilient under updated climate zone classifications and future climate scenarios. A comparative analysis of four U.S. counties—Davidson (TN), Garfield (OK), Allegany (MD), and Marion (IN)—was conducted based on …

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Dark Current And Persistence In Hgcdte-On-Si Infrared Detectors, Lazar Buntic May 2026

Dark Current And Persistence In Hgcdte-On-Si Infrared Detectors, Lazar Buntic

Theses

This thesis investigates the performance of Raytheon’s mercury-cadmium-telluride-on-silicon (MCT-on-Si) infrared detector arrays, with particular emphasis on the impact of the heteroepitaxial silicon growth process on dark current and persistence characteristics. Infrared detectors have been the cornerstone of astronomical discovery for the past four decades and remain essential for current and future flagship observatories, including the James Webb Space Telescope and the Nancy Grace Roman Space Telescope. Traditionally, the highest-performance HgCdTe (MCT) arrays are grown on lattice-matched cadmium-zinc-telluride (CZT) substrates, which are costly and limited in size. To enable low-cost, large-format arrays, Raytheon developed a process for growth of MCT on …

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Antidistillation Sampling For Classification Models, Khawaja Abaid Ullah May 2026

Antidistillation Sampling For Classification Models, Khawaja Abaid Ullah

Theses

Knowledge distillation enables adversaries to replicate the functionality of proprietary machine learning models by querying their APIs and training surrogate student models on the returned soft-label distributions. Antidistillation Sampling (ADS), recently proposed for large language models, perturbs the output distribution of a teacher model at inference time to degrade the quality of the resulting distilled model while preserving utility for legitimate users. We adapt ADS to the supervised classification setting and identify a structural obstacle to its direct transfer: the high-confidence, near-one-hot output distributions characteristic of well-trained classifiers leave insufficient probability mass on non-target classes for the additive penalty to …

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Torque Performance And Material Characterization Of Post-Consumer Recycled Polypropylene Caps: A Comparative Study Of Virgin, 40% Pcr, And 100% Pcr Closures On 100% Pcr Hdpe Detergent Bottles, Sivani Kancharla Apr 2026

Torque Performance And Material Characterization Of Post-Consumer Recycled Polypropylene Caps: A Comparative Study Of Virgin, 40% Pcr, And 100% Pcr Closures On 100% Pcr Hdpe Detergent Bottles, Sivani Kancharla

Theses

This study investigates the effect of post-consumer recycled (PCR) content on the application and removal torque of 28/400 continuous-thread polypropylene caps tested against 100% PCR high-density polyethylene (HDPE) detergent bottles. Three cap material variables were evaluated: virgin PP (0% PCR), 40% PCR PP, and 100% PCR PP. Torque testing was conducted using the VIBRAC 2100 Cap Inspector with an application torque set at 14 in-lb. Testing was performed in triplicate across three time intervals: 0, 30, and 60 minutes, over three runs, yielding 27 measurements per cap variable. An additional dwell-time test assessed the effect of stationary time on torque …

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Automatic Modulation Classification On Satellite Communications Across Orbital Domains, Lorraine (Raina) Freeman Apr 2026

Automatic Modulation Classification On Satellite Communications Across Orbital Domains, Lorraine (Raina) Freeman

Theses

In recent years, the space domain has exploded with both commercial and government activity, making situational awareness critically important. In this work, we highlight the need for signal intelligence capabilities that can transfer gracefully from terrestrial systems to space networks. This already difficult task is additionally complicated by the fact that satellites operate at multiple different orbits. Geostationary (GEO) satellites face significantly different channel conditions than their Low Earth Orbit (LEO) counterparts, meaning that any cross-orbital signal analysis tool must be able to handle widely varying conditions. Such tools may soon be critical for identifying satellites and detecting malicious cyber …

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Thermal And Reactive Transport Phenomena In Plasma With Numerical Modeling, Nitish Kumar Singh Apr 2026

Thermal And Reactive Transport Phenomena In Plasma With Numerical Modeling, Nitish Kumar Singh

Theses

As semiconductor node technology advances to below 5 nm, it is vital to control Non-uniformity, Line Edge Roughness (LER), and Line Width Roughness (LWR). These factors are crucial for meeting performance, reliability, and yield goals. This study presents a computational fluid dynamics (CFD) model for optimizing Plasma-Enhanced Chemical Vapor Deposition (PECVD) processes, focusing on the synthesis of thin films such as Silicon Dioxide from precursor gases like Silane and Nitrous Oxide. The model is designed to accurately simulate the complex transport and reaction dynamics within the low-pressure, non-equilibrium plasma environment. The transport of neutral radical species (which form the bulk …

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Dynamic Control Of Active Optical Structures Using Fea-Derived State-Space Models, Damian Suarez Apr 2026

Dynamic Control Of Active Optical Structures Using Fea-Derived State-Space Models, Damian Suarez

Theses

Active optical systems commonly use influence coefficient methods to map actuator commands to surface deformation, but these static models only describe steady-state behavior and do not capture transient or frequency-dependent structural dynamics. This work develops a finite element analysis (FEA)-derived state-space framework for active optical control by reducing an ANSYS deformable mirror model into modal coordinates and mapping structural deformation into optical Zernike space. The framework is used to compare three control strategies: static feedforward inversion, LQI feedback tracking, and a combined LQR–feedforward controller under steady-state and time-varying Zernike setpoints. The results show that feedforward control provides rapid static correction, …

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Ar Bubble Car: A Cross-Vehicle Visual Social System For Autonomous Mobility, Bingchang Zhang Apr 2026

Ar Bubble Car: A Cross-Vehicle Visual Social System For Autonomous Mobility, Bingchang Zhang

Theses

AR Bubble Car argues that in L4/L5 autonomous mobility, or high to fully automated driving, the car should be understood not only as a transportation device but also as a visible social interface in public space. As driving becomes less central, the role of the vehicle shifts from control and movement alone toward passenger experience, expression, and communication. In response, AR Bubble Car proposes a transparent visual bubble around compatible vehicles, allowing passengers to share lightweight content through window-based AR. Rather than treating the car as a private entertainment container, the system explores how vehicles might become moving social nodes …

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Assessing Difficulty Of Link Prediction On Benchmarking Knowledge Graphs, Lydia Klecan Apr 2026

Assessing Difficulty Of Link Prediction On Benchmarking Knowledge Graphs, Lydia Klecan

Theses

Knowledge graphs represent real-world data in a directed graph format where two entities, connected by a predicate, represent one fact. Link prediction models predict new relationships using existing entities and predicates, and are trained using benchmarking knowledge graphs. Redundancies exist within benchmarking knowledge graphs that allegedly artificially improve the results of link prediction. It is assumed in the link prediction field that if a model scores well on a highly redundant benchmarking knowledge graph, it may not directly correlate to good performance on other more complex knowledge graphs. This research creates new analysis methods and evaluation metrics for measuring redundancies …

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265 Screens, Don Casper Apr 2026

265 Screens, Don Casper

Theses

265 Screens documents twenty-nine cinemas across six states which shut down since March 15, 2020. My project blends photography with cinematography set in a darkened space creating an alternative cinematic experience - reflecting on the changing film industry through the rise of digital technologies and what it means to lose these physical spaces that connect us. Digital streaming has made it possible to watch films at home or alone on a mobile device – creating more isolated viewing experiences. This body of work embodies this transition through the blending of the materials used to create the images themselves. The photographs …

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Bodyrevolt, Lauren Oliver Apr 2026

Bodyrevolt, Lauren Oliver

Theses

BodyRevolt examines the body as a mutable site shaped through performance, material intervention, and photographic mediation. Working across still and moving image, I stage choreographic interactions between my body and constructed forms—materials that function as both extensions and substitutions—destabilizing the notion of a fixed bodily truth. Through acts of sculpting, contortion, and repetition, I explore the tension between the body I inhabit and the body I imagine, using the camera not simply as a recording device but as an active participant in rehearsing transformation. Central to this inquiry is the construction of surrogate bodies, which offer a form of control …

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Genetic Algorithms With Psychological Tension Analysis For Music (Gaptam), Andrew Bowman Apr 2026

Genetic Algorithms With Psychological Tension Analysis For Music (Gaptam), Andrew Bowman

Theses

This work investigates a structurally grounded approach to algorithmic music composition using a stochastic Context Free Grammar (CFG) evolved through a genetic algorithm. While existing systems such as live-coding environments, DAWs (Digital Audio Workstations), and statistical models generate musical material, they typically lack explicit hierarchical organization, despite evidence that listeners perceive music sequentially and structurally. In this framework, derivation trees generated from an CFG serve as compositional candidates, which are evolved using subtree-based crossover and mutation. Fitness evaluation combines prior melodic heuristics with tension-based insights from music cognition research, introducing musically informed structure into the evolutionary process. A genetic system …

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Exam Analysis: A Quantitative Approach To Software Pedagogy, Christopher Shepard Apr 2026

Exam Analysis: A Quantitative Approach To Software Pedagogy, Christopher Shepard

Theses

Software engineering exams serve as a tool for evaluating a broad range of skills in the classroom, including theoretical understanding, practical application, and process reasoning. Despite their importance, post-assessment analysis is often overlooked, and the absence of structured reflection by instructors can limit their effectiveness and mask patterns in student performance. By treating exams as data, educators can uncover trends that drive more effective teaching strategies, refine evaluation methods, and work to strengthen student support systems. We conducted a systematic analysis of existing exam data and administered a student survey to determine if student perceptions align with actual outcomes, asking …

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Integrated Vaccine Bundle Procurement Framework, Ming Zhu Apr 2026

Integrated Vaccine Bundle Procurement Framework, Ming Zhu

Theses

Childhood vaccination is among the most effective public health interventions, yet ensuring affordable access in low-income countries (LICs) remains challenging. Centralized procurement agencies such as UNICEF and Gavi purchase vaccines antigen-by-antigen through competitive tenders which is a practice that fails to capture the affordability gains attainable by coordinating vaccine products into optimized bundles tailored to each child’s complete immunization schedule. This study develops an Integrated Vaccine Bundle Procurement Framework that shifts the unit of procurement from the antigen level to the vaccine product level. The framework formulates the procurement as the construction and selection of child-level immunization bundles, feasible sets …

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Building Resilient Cities: Strategies For Sustainable Urban Development In Response To Climate Change In Uae, Thekra Hattawi Apr 2026

Building Resilient Cities: Strategies For Sustainable Urban Development In Response To Climate Change In Uae, Thekra Hattawi

Theses

This thesis discusses the way cities may grow and adopt resilient urban measures to incorporate sustainability, technological advancements, governance systems, and financial systems in order to reduce the effects of climatic changes. Cities across the globe are being threatened by the effects of climate change due to the growing number of threats to humans, which include global temperatures increasing, marine level rising, droughts due to water shortages, and extreme weather patterns. This thesis will discuss ways in which the city centers of cities particularly in the UAE can strategize and embrace a holistic resiliency planning to address these multidimensional problems. …

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Digital Twins For Sustainable Smart Cities: Applications In Urban Design And Energy Optimization, Hamda Bukhatir Al Shamsi Apr 2026

Digital Twins For Sustainable Smart Cities: Applications In Urban Design And Energy Optimization, Hamda Bukhatir Al Shamsi

Theses

Digital Twins (DTs) have been found to be a revolutionary tool in developing smart cities sustainably. The dissertation is a critical analysis of the designs, strategies, and real-world uses of Urban Digital Twins (CDTs) in city buildings and energy efficiency. It investigates the transformation of the fixed 3D models into dynamic and real time virtual simulations that are a combination of Building Information Modeling (BIM), Geographic Information Systems (GIS) and Internet of Things (IoT) sensor networks. The article covers the applications based on multi-scale, building, district and city scales and the role of the CDTs in visualization, stakeholders’ engagement, city …

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Maintenance Insights For Power Transformers In Energy Networks, Saleh Hassan Al-Ali Apr 2026

Maintenance Insights For Power Transformers In Energy Networks, Saleh Hassan Al-Ali

Theses

This thesis examines machine learning approaches for predicting failures in electrical power distribution transformers, with the goal of helping utility operators intervene before outages occur. The dataset covers 16,000 distribution transformers operated by Compa ˜n´ıa Energ ´etica de Occidente (CEO), a Colombian utility serving 42 municipalities in the Cauca Department. Each transformer record includes geographic location, rated power capacity, self-protection features, ceramic insulation criticality levels, removable connector configurations, customer categories, user counts, estimated un-supplied energy, installation types, network topology, and secondary line lengths. Failure event histories were also included, which allowed the problem to be framed as a supervised binary …

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Towards Reliable And Trustworthy Deep Learning Through Explainability And Interpretability, Dipkamal Bhusal Apr 2026

Towards Reliable And Trustworthy Deep Learning Through Explainability And Interpretability, Dipkamal Bhusal

Theses

Deep neural networks achieve state-of-the-art performance across many domains, yet their deployment in high-stakes settings is constrained by two challenges: opaque decision-making and vulnerability to adversarial manipulation. This thesis investigates explainability and interpretability as principled mechanisms for improving the reliability and trustworthiness of deep learning models. First, we develop new post-hoc explanation methods that improve feature attribution and concept-based explanations. These methods provide faithful decision cues by modeling meaningful feature interactions and extracting faithful coherent concepts, enabling more reliable understanding of why a model predicts a given label. Second, we show that explanation quality is not solely a property of …

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Hardware Integrity Checking On An Fpga Through Power Side-Channel Analysis, Ethan Vuong Apr 2026

Hardware Integrity Checking On An Fpga Through Power Side-Channel Analysis, Ethan Vuong

Theses

FPGAs have seen extensive usage in applications such as cloud-computing, hardware acceleration, mobile devices, and military alike. While the reconfigurability of these devices allow them to be as adaptable as they are fast, it raises concerns of adversaries modifying not mere software, but hardware itself. Moreover, designers face an IP trust issue where they cannot be sure that a third-party IP was not modified in transaction, programming, or even post-programming. Cloud computing centers are hesitant to rent fabric on multi-tenant FPGAs due to the plethora of vulnerabilities and uncertainties that come with allowing users to reconfigure hardware. This thesis aims …

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Software Vulnerability Recidivism In Open-Source Projects, Brandon Keller Apr 2026

Software Vulnerability Recidivism In Open-Source Projects, Brandon Keller

Theses

Software vulnerabilities present a major threat to businesses and individuals alike and it is therefore critical that a culture exists among software engineers to encourage the discovery and patching of security flaws. Vulnerability counts are a common way of evaluating a project’s security. However, this metric can run counter to building a developer culture of fault recognition if more vulnerabilities is always seen as a bad thing. While these counts can present a rough idea of a project’s history with security, they provide no insight into how the development team improves and learns as a result of a vulnerability. A …

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Leveraging Volatile Ecram Dynamics For Short-Term Plasticity In Neuromorphic Circuits, Sean Borkholder Apr 2026

Leveraging Volatile Ecram Dynamics For Short-Term Plasticity In Neuromorphic Circuits, Sean Borkholder

Theses

Short Term Plasticity (STP) is fundamental for information processing and computational efficiency within biological neural systems. STP has previously been implemented at the circuit level using complex designs with high power and area overheads, resulting in designs that are not scalable in neuromorphic systems. Electrochemical random-access memory (ECRAM) devices naturally exhibit STP behavior through volatile ion dynamics, creating transient conductance modulation.  In previous ECRAM implementations, this behavior was seen as an undesirable artifact of device programming when implemented as a Compute in Memory (CIM) device; however, this thesis proposes leveraging the volatile  behavior to instead act as a computational resource. …

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Efficiency Evaluation Of Water Pumping Stations Using Data Envelopment Analysis (Dea), Rowdha Abdullah Alblooshi Apr 2026

Efficiency Evaluation Of Water Pumping Stations Using Data Envelopment Analysis (Dea), Rowdha Abdullah Alblooshi

Theses

Water pumping stations are a critical component of water transmission systems, ensuring reliable delivery of potable water while maintaining operational requirements and international standards. With the increasing focus on sustainability and energy optimization, improving the efficiency of pumping stations has become a key priority. However, there is a lack of structured benchmarking approaches to evaluate the relative performance of pumping stations across multiple operational factors. This study addresses this gap by applying a Data Envelopment Analysis (DEA) framework to evaluate the efficiency of water pumping stations. A multi-model approach is adopted, including the CCR and BCC models, along with the …

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Optimizing Urban Commute Quality Through Traffic Congestion Analysis And Predictive Modeling, Obaid Almansoori Apr 2026

Optimizing Urban Commute Quality Through Traffic Congestion Analysis And Predictive Modeling, Obaid Almansoori

Theses

Urban traffic congestion imposes significant economic, environmental, and social costs on rapidly growing cities worldwide. This research investigates how predictive analytics and machine  learning can be leveraged to classify and forecast traffic congestion severity in real time,  enabling data-driven decision-making for transportation planning, signal optimization, and  congestion management. A real-world traffic monitoring dataset comprising 5,952 observations collected over two months via  computer vision sensors at an urban intersection was analysed under the CRISP-DM frame- work. The  dataset records counts of four vehicle classes including cars, bikes, buses, and trucks at  15-minute intervals, alongside temporal variables such as time of day, …

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