Digital Commons Network^™

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, …

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 …

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 …

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 …

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 …

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 …

Green Synthesis And Characterization Of Carbon Dots From Date Seeds For Antimicrobial Applications, Mariam Rami Hamdan

Theses

This thesis focuses on the synthesis and functionalization of Carbon Dots (CDs) derived from date seeds, followed by their conjugation with different antibiotics for antimicrobial applications. Carbon dots have gained increasing popularity due to their unique optical characteristics, surface properties, and biocompatibility. On the other hand, the utilization of date seeds offers a sustainable route towards obtaining value-added nanomaterials from agricultural waste. The central aim of this project is to develop and characterize CDs from date seeds and investigate their possible use as antibiotic carriers to improve antibacterial efficacy. The CDs were prepared using a green, cost-effective method and characterized …

Artificial Intelligence In Video Production, Jonathan Ringor

Theses

This project examines the role of artificial intelligence in video advertisement production and explores whether AI can help bridge the gap between everyday users and professional advertising. The project combined both creative production and audience research. To do this, three original AI-generated advertisements were created in distinct commercial formats: a pharmaceutical advertisement, a petcentered narrative commercial, and a lifestyle montage advertisement. After the advertisements were completed, audience response was measured through a survey of U.S.-based participants. Participants evaluated each advertisement on realism, emotional engagement, trustworthiness, polish, and authenticity. The results showed that the advertisements were not perceived equally. The pet …

The Investigation Of The Digital Divide: Government Literacy With African American Seniors, Jenettie Pirtle

Theses

My thesis, The Great Divide: An Investigation of Digital Literacy with African American Seniors, explores how race, age, and income shape access to technology and digital learning. Many African American seniors continue to face barriers to digital literacy due to limited resources, lack of exposure, and social inequalities. Using a qualitative approach, I conducted a focus group to hear directly from seniors about their experiences with technology, what challenges they face, how they feel about using it, and what support they need. Guided by Critical Race Theory and the concept of digital inequality, my analysis highlights the gap between access …

Leveraging Generative Artificial Intelligence To Launch An Independent Game Studio, Douglas Evans

Theses

This project report examines how Generative Artificial Intelligence (Generative AI) can be integrated into the early formation and operations of an independent/indie game studio. Using a qualitative, practice-based single-case study approach, the project focused on Boar’s Head Studio, LLC. A human-in-the-loop approach was maintained with Generative AI used to support company formation, ideation, planning, documentation, analysis, coding assistance, marketing preparation, and community-building preparation

The report concludes that Generative AI can serve as a meaningful system integrated into the studio pipeline when used with structured, repeatable, human-in-the-loop processes. The project contributes a practical, case-based framework that may be useful to other …

Anastasis: Slow Fashion, Barbara Bultman

Theses

This thesis explores how slow fashion principles contribute to the longevity and cultural significance of iconic garments. Using qualitative research methods, including historical analysis, literature review, and practice-based design research, this project analyzes and recreates six iconic garments: the little black dress, trench coat, wrap dress, shift dress, wide-leg trouser, and women’s suit. The research investigates couture-level construction techniques, sustainable materials, and timeless silhouettes, demonstrating how these strategies can extend garment lifespan and foster emotional attachment between consumers and clothing. Ultimately, the research concludes that slow fashion provides a practical framework for creating durable, meaningful garments that support both environmental …

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 …

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 …

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 …

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, …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

The Invisible Fuel: How Corporate Affinity For Technology Drives Resilience, Rachel Gandy

Theses

This paper examines how Corporate Affinity to Technology (CAT) affects organizational resilience among U.S. managers. Based on survey data from 364 managers in the retail, finance, and healthcare industries, this research indicates that the degree of technology use in a firm does not relate to the firm’s level of broadband availability or technology intensity, but rather to the extent to which technology is woven into the fabric of skills development, organizational culture, and the decision-making process. High-CAT firms are resilient under stress; low-CAT firms are fragile, irrespective of the level of technology they have invested in. Recommendations for managers who …

The Role Of Broadband Access In Enhancing Organizational Resilience, Corporate Adaptability, And Performance, Rachel Gandy

Theses

This paper examines how Corporate Affinity to Technology (CAT) affects organizational resilience among U.S. managers. Based on survey data from 364 managers in the retail, finance, and healthcare industries, this research indicates that the degree of technology use in a firm does not relate to the firm’s level of broadband availability or technology intensity, but rather to the extent to which technology is woven into the fabric of skills development, organizational culture, and the decision-making process. High-CAT firms are resilient under stress; low-CAT firms are fragile, irrespective of the level of technology they have invested in. Recommendations for managers who …

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. …

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 …

The Transformation Of Physical Archives In A Digital Age, Gabriel A. Stadler Mr.

Theses

Scholars involved in archival studies have increasingly examined how digitization has transformed the accessibility of archive collections. For example, Clifford Lynch, a leader in digital libraries and a computer scientist, argues that the development of institutional repositories emerged as a new strategy that allows universities to apply what he calls “serious, systematic leverage to accelerate changes taking place in scholarship and scholarly communication” (1). He later clarifies that he defines these institutional repositories as places that hold digital materials and are created by the institution. Similarly, archival theorists such as T.R. Schellenberg emphasize the research value of records and the …

Cellular And Molecular Characterization Of Ube3a Function In Cic-Dux4 Sarcoma, Jesse D. Walker

Theses

CIC-DUX4 sarcoma (CDS) is a rare and extremely aggressive soft tissue sarcoma that primarily affects children and young adults. CDS is characterized by an oncogenic chromosomal translocation. Current treatments for CDS are similar to those in other sarcomas like surgery, chemotherapy, and radiation. Treatments, however show that CDS responds poorly compared to other sarcomas, due to relapses of localized disease at high rates and short duration response of treatment, proving the importance of understanding CIC-DUX4’s complex role on how it regulates overall gene expression in CDS cells from a molecular approach.

UBE3A is a ubiquitin protein ligase that plays a …

Testing The Intermediate Disturbance Hypothesis On Anthropogenic Pressure In Central Alabama, Gavin Terrell

Theses

Biodiversity is fundamental to maintaining ecosystem structure and function globally. Prior to the late 20th century, ecological theory generally predicted that biodiversity would be highest in systems experiencing minimal disturbance. However, Joseph H. Connell challenged this view with the Intermediate Disturbance Hypothesis (IDH), which posits that species diversity peaks at intermediate levels of disturbance and declines under conditions of both low and high disturbance. Although widely cited, the applicability of the IDH to natural systems remains debated, particularly in the context of anthropogenic disturbances and when diversity is measured beyond species richness alone.

This study evaluated the predictions of the …

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 …