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Material Selection In The Mountain West: A Multi-Criteria Decision Analysis (Mcda) Based Approach For Architects, Melissa Bach
Material Selection In The Mountain West: A Multi-Criteria Decision Analysis (Mcda) Based Approach For Architects, Melissa Bach
Theses
With modern advancements in technology and the expansion of a globally interconnected network, architects have access to a large range of building materials. Increasing public concern for the environment has prompted architects to prioritize materials that are more sustainable, but varying definitions of sustainability, coupled with unclear guidelines for material selection, repeatedly lead to uncertainty and decision-making challenges within the profession. To address this, a comprehensive methodology such as Multi-Criteria Decision Analysis (MCDA) is needed for the material selection processes. Furthermore, a gap in the literature demonstrates that the application of MCDA for material selection in the Mountain West region …
The Future Of Airport Operating Models And Seamless Passenger Journeys: Strategic Readiness Implications For Dubai World Central (2035–2045), Mohammad Abdulla Alsuwaidi
The Future Of Airport Operating Models And Seamless Passenger Journeys: Strategic Readiness Implications For Dubai World Central (2035–2045), Mohammad Abdulla Alsuwaidi
Theses
Dubai World Central is being developed to support a major expansion of Dubai’s aviation capacity. Its planned scale raises questions beyond terminal construction and technology pro- curement because airlines, airport operators and government authorities must coordinate passenger processing while maintaining security, public confidence and operational continu- ity. This thesis examines how airport operating models and end-to-end passenger processing may evolve during 2035–2045 and assesses the strategic readiness implications for DWC. A qualitative, desk-based design was adopted using peer-reviewed research, official aviation publications, government documents, airport implementation evidence and selected industry reports. The analysis combined PEST horizon scanning, a technology-readiness assessment, …
Energy Loss Hotspot Mapping In Power Distribution Networks, Abdulla Alhammadi
Energy Loss Hotspot Mapping In Power Distribution Networks, Abdulla Alhammadi
Theses
The electricity systems used in power distribution in the United States also consume a lot of electricity to warm up until it gets to homes, business or industries. These are technical losses which are caused by the physical resistance of the aging electrical equipment like transformers, conductors and distribution lines. With the aging of infrastructure, the resistance rises, and the amount of wasted energy increases. Although this is a large problem, most utility companies continue to use rough age estimations or customer complaints instead of using more direct and objective data-driven techniques to determine the concentration of the worst losses. …
A Study Of Post -Quantum Cryptography Migration In An Emulated Enterprise Environment, Saquib Farooq Malik
A Study Of Post -Quantum Cryptography Migration In An Emulated Enterprise Environment, Saquib Farooq Malik
Theses
The imminent maturation of Cryptographically Relevant Quantum Computers (CRQCs) represents a fundamental threat to the digital security infrastructure, specifically targeting modern cryptographic standards such as AES, RSA and Elliptic Curve Cryptography (ECC). While Post -Quantum Cryptography (PQC) offers a mathematical defense, the transition is complicated by the “Harvest Now, Decrypt Later ” (HNDL) strategy, where encrypted data is intercepted today for future decryption. This thesis explores the critical necessity of an organized migration strategy to protect long-term data sensitivity against the rapid advancement of quantum capabilities and addresses the gaps in the current migration landscape: the absence of a standardized, …
Quantifying Exterior Ecological Performance In Biomimicry, Bioclimatic, And Biophilic Architecture: A Comparative Framework Across Climatic Zones, Ruqayyah Siamwala
Quantifying Exterior Ecological Performance In Biomimicry, Bioclimatic, And Biophilic Architecture: A Comparative Framework Across Climatic Zones, Ruqayyah Siamwala
Theses
Historically, sustainability research in architecture has focused on interior comfort and operational energy efficiency, leaving the ecological performance of the immediate building façade relatively unexplored. By creating a comparison framework to assess the performance of biomimetic, bioclimatic, and biophilic architecture under external ecological conditions across four climatic zones—hot-humid, cold-humid, hot-dry, and cold-dry—this thesis closes that gap. Using quantitative data such as NDVI, land surface temperature, PM2.5, NO2, infiltration rates, and species count in addition to qualitative analysis of these three architectural strategies at the building-site interface, twelve case studies are evaluated against four ecological indicator groups: air quality, soil quality, …
Kosovo Pisa Monitoring Via System Signals Benchmarking 2015/2018/2022, Peer Clusters, Early-Warning Screening, And Mixed-Methods Triangulation In Grade 10 Mathematics, Leon Cana
Theses
This thesis develops a practical monitoring approach for Kosovo’s PISA outcomes by linking country-level benchmarking of PISA 2015, 2018, and 2022 with measurable system signals and a focused school-level triangulation. Quantitatively, it benchmarks Kosovo against Western Balkans Six (WB6) and selected European peers through mathematics mean scores, below-Level-2 shares, and top-performing shares. It then uses k-means clustering to define empirical peer groups and tests an early-warning screening exercise in which 2015/2018 information is used to classify held-out 2022 high-risk profiles. Qualitatively, it triangulates the statistical signal patterns with policy document analysis and a low-burden Grade 10 mathematics micro-study in Prishtina …
Mathematical Modeling Of Ocular Surface Deformation Due To Contact Lens Wear That Accounts For Intraocular Pressure, Riley K. Supple
Mathematical Modeling Of Ocular Surface Deformation Due To Contact Lens Wear That Accounts For Intraocular Pressure, Riley K. Supple
Theses
Myopia is one of the most common ocular disorders, and is expected to affect approximately five billion people worldwide by 2050. One treatment currently available for myopia is soft contact lenses. In general, about one in ten Americans wear contact lenses, however one in three will stop wearing them due to discomfort. The goal of this dissertation is to develop a mathematical model that predicts the mechanical interactions between the contact lens and the ocular surface. Assuming the ocular tissue is a linear elastic material, we first develop a mathematical model to predict ocular deformation that is anatomically accurate in …
Designing A Uae-Centric Integrated Mobility System: Linking Transport,Traffic, And Urban Data For Smarter Travel, Alreem Jabir Alshamsi
Designing A Uae-Centric Integrated Mobility System: Linking Transport,Traffic, And Urban Data For Smarter Travel, Alreem Jabir Alshamsi
Theses
Urban mobility systems are central to smart city performance; however, in many rapidly developing cities, mobility services remain fragmented across agencies, platforms, and datasets. In the United Arab Emirates (UAE), cities such as Dubai and Abu Dhabi have made significant investments in digital infrastructure and intelligent transport solutions. Despite this progress, existing mobility applications continue to operate in functional silos, limiting real-time adaptability and cross-domain integration. Current platforms primarily focus on transport coordination and congestion avoidance, with limited integration of broader urban datasets such as building access schedules, environmental conditions, and localized service availability. This research addresses the absence of …
Evaluating Smart Mobility Performance In Dubai Using Airport Flight Operations Data: A Data-Driven Approach, Hamda Alshamsi
Evaluating Smart Mobility Performance In Dubai Using Airport Flight Operations Data: A Data-Driven Approach, Hamda Alshamsi
Theses
Airports are more than aviation facilities; they function as critical nodes within modern urban mobility systems. In globally connected cities such as Dubai, airport performance directly influences tourism, trade, economic activity, and the overall efficiency of the transport network. At the same time, airports generate large volumes of detailed operational data on a daily basis. However, this information is often summarized into high-level statistics that do not fully capture temporal variations, congestion patterns, or operational reliability. This thesis investigates how flight-level operational data can be used to evaluate airport mobility performance in Dubai within a smart city context. The study …
Mathamr+: A Unified Graph Neural Network Framework For Multimodal Mathematical Information Retrieval, Jacob Yoon
Mathamr+: A Unified Graph Neural Network Framework For Multimodal Mathematical Information Retrieval, Jacob Yoon
Theses
Mathematical Information Retrieval (MIR) focuses on developing systems that enable users to search for and retrieve documents containing mathematical content. A key challenge in building effective math-aware retrieval systems lies in jointly modeling the symbolic and operational structure of mathematical expressions together with their surrounding linguistic context. Existing approaches often use linear token sequences, losing structural information, or rely on separate models for text and math, limiting their ability to capture cross-modal patterns and learn contextualized representations. This thesis proposes MathAMR+, a graph neural network-based retrieval framework that jointly models Abstract Meaning Representation (AMR) graphs, Operator Trees (OPTs), and Symbol …
Optimizing Product Placement Using Purchase Pattern Analysis, Mohra Shamaa
Optimizing Product Placement Using Purchase Pattern Analysis, Mohra Shamaa
Theses
Retail product placement has traditionally relied on static shelf layouts and techniques such as market basket analysis, often guided by managerial intuition and category based organization. However, such approaches frequently overlook the complexity of consumer purchasing behavior as reflected in the transactional data, and this study investigates how data driven analysis of purchase relationships can inform more effective product placement strategies in physical retail environments. Unlike the sequential models, this study focuses on co occurrence relationships due to dataset constraints, prioritizing interpretability for retail applications. Using transaction level data from the Instacart dataset, this research applies association rule mining through …
Assessing Programmatic Gaps In The Community Engagement To Reduce Victimization (Cerv) Program, Sam Marino
Assessing Programmatic Gaps In The Community Engagement To Reduce Victimization (Cerv) Program, Sam Marino
Theses
This capstone project examines and analyzes data for the Community Engagement to Reduce Victimization (CERV) program in Rochester, New York. By developing a logic model, gap analysis, and utilizing statistical models, the project not only better understands the program design, but also assesses gaps and their patterns in the data to provide structured recommendations to strengthen the data infrastructure, improving data completeness and reliability. These improvements will strengthen the program overall, helping to reduce community violence throughout Rochester. Across three working papers, the project begins by examining the current data and analyses on the program and develops a detailed logic …
This Moon In Your Throat, Hankyung Ryu,
This Moon In Your Throat, Hankyung Ryu,
Theses
This Moon in Your Throat examines the concept of Han, a haunted and inherited Korean affect that moves across bodies, generations, and diasporic life. Rather than treating Han as a fixed emotion, this thesis understands it as a lasting force shaped by historical trauma, family memory, and the unfinished effects of colonialism, war, capitalism, and displacement. Drawing on hauntology, the project asks how the past remains present through sensation, habit, bodily tension, and emotional atmosphere, especially in the lives of Koreans living in the United States. Night serves as the project’s spatial, temporal, and emotional ground, a setting in which …
Ai In Action: Redefining Loan Default Prediction For The Digital Lending Era, Joe Vinson Ukken
Ai In Action: Redefining Loan Default Prediction For The Digital Lending Era, Joe Vinson Ukken
Theses
Credit risk assessment remains a very important part of financial institutions, particularly within the rapidly evolving digital lending environment. The research explores the effectiveness of five machine learning models—Logistic Regression, Decision Tree, Random Forest, Gradient Boosting, and Support Vector Machine—in predicting loan default using both financial indicators and categorical borrower attributes. The study is motivated by the growing availability of structured borrower data and the need to evaluate whether advanced machine learning algorithms can be implemented over conventional credit scoring methods. A publicly available L&T Vehicle Loan Default Prediction dataset comprising 233,154 borrower records and 41 structured attributes, the CRISP-DM …
An Evidence-Based Ethical Risk Classification Framework (Ercf) For Ai Policies, Ahmad Almarri
An Evidence-Based Ethical Risk Classification Framework (Ercf) For Ai Policies, Ahmad Almarri
Theses
This thesis develops and evaluates an evidence-based Ethical Risk Classification Framework (ERCF) for analyzing substantive ethical engagement in AI policy documents. The study addresses the gap between high-level AI ethics principles and reproducible computational methods for comparative governance analysis. A secondary dataset of AI ethics policy recordswas used as the starting point. After retrieval, text extraction, and validation, a corpus of 44 policy documents was constructed from an initial 112 records (110 link-bearing entries). Supervised classification was implemented for four core dimensions: Accountability, Bias & Fairness, Privacy, and Transparency. A TF-IDF + Logistic Regression baseline was evaluated using stratified 5-fold …
From There To There, Daniil Kolchanov
From There To There, Daniil Kolchanov
Theses
From There to There is a semi-fictional journey, an attempt to figure out what home is, that uses photography as the main medium. It started with the physical act of leaving my country, but quickly turned into an internal journey. In this project, I am interested in themes of displacement, lack of belonging, and home as a utopian idea. Combining different ideas of home, metaphors, symbols and everyday moments, I talk about an idealized home, ideas of stability, connection, and a sense of belonging in an ever-changing environment. From There to There questions the internal relationship between identity, memory, community, …
Tom: Toward A Design Language For Object Personality, Mike Minerva
Tom: Toward A Design Language For Object Personality, Mike Minerva
Theses
Design has been chasing seamless efficiency for decades, creating smoother interactions, more compliant objects, and experiences that disappear entirely. When an object is frictionless, it does not lack personality. It has a personality. One that is obedient, meaningless, and remarkably boring. An object that pushes back has boundaries, and that resistance comes from a position of caring. Objects have always been able to refuse. What is new is that the refusal can now come from inside the object, from memory, adaptive thinking and a disposition toward the person using it. Expressed consistently over time, that agency is perceived as personality. …
I Like The Color Pink Because It Is Pretty, Jennifer Smyczynski
I Like The Color Pink Because It Is Pretty, Jennifer Smyczynski
Theses
This thesis investigates what it means to be hyper-visible yet completely overlooked in relation to appearance, gender, and intellect. The work embraces the decorative as it appears in visual art and in the surrounding domestic environment, as well as the often-dismissed aesthetics of girlhood—including the glitter, rebellion, and contradictions that accompany its cultural formulation. My intention is to navigate the expectations placed on femininity and its representation in both art and society. This includes the concept of feminized labor; the ways in which work associated with women is treated and valued; and how pop culture catered toward women is more …
A Machine Learning Based Analysis Of Traffic Accident Severity Using Environmental, Temporal And Road Condition Factors, Khalid Alaleeli
A Machine Learning Based Analysis Of Traffic Accident Severity Using Environmental, Temporal And Road Condition Factors, Khalid Alaleeli
Theses
Traffic accidents on the road have been one of the most significant global issues as far as public safety is concerned, with the severity of crashes, as well as their fatalities, representing an undue burden on human and economic damages. The research constructs a machine learning-based model to examine and forecast the level of traffic accidents based on environmental and time, road and human variables. There were 798 valid observations and 14 variables discussing a dataset using the exploratory data analysis tool, supervised classification models (Decision Tree and Random Forest), and unsupervised K-Means clustering. The technique of feature engineering was …
Perceptual Evaluation Of Deep Learning Models For Hdr Reconstruction Under Severe Overexposure, Alireza Rabbanifar
Perceptual Evaluation Of Deep Learning Models For Hdr Reconstruction Under Severe Overexposure, Alireza Rabbanifar
Theses
Overexposure in imaging systems leads to irreversible loss of scene information due to sensor saturation, resulting in degraded perceptual quality and limited dynamic range. While recent deep learning approaches have shown promising results in correcting mild to moderate overexposure, their performance under severe overexposure and their perceptual quality in HDR image generation remain less understood. In this work, a comparative evaluation of four representative models—Multi-Scale Exposure Correction (MSEC), Illumination-Adaptive Transformer (IAT), LEDiff, and X2HDR—is conducted across multiple scenes and levels of overexposure, with particular emphasis on severe overexposure conditions. The evaluation focuses on the perceptual quality of the reconstructed HDR …
Revisiting A Historical Material: Casein As A Case Study, Evan Gerstein
Revisiting A Historical Material: Casein As A Case Study, Evan Gerstein
Theses
The goal of this project is to use casein as a case study to explore historical methods of making and to show that these have uses for today. In the first half of the 20th century, casein, a milk protein, was a widely-used industrial material. Buttons, buckles, glue, and clothing, among other products, were made from it. The use of casein declined in the post-World War II economy because of reputational damage done by its association with Benito Mussolini’s fascist regime and the rise of petroleum plastics. This project argues that casein deserves to be revisited. Specifically, this project offers …
Migration Of The Spirit, Yaqub Shabazz
Migration Of The Spirit, Yaqub Shabazz
Theses
Migration of the Spirit examines interior transition through sustained painting practice. While migration is often understood as geographic displacement, this thesis reframes it as an interior reorientation shaped by halted time, disciplined solitude, and the act of reclaiming one’s own narrative. Grounded in lived experience within institutional systems and sustained decades of teaching and studio practice, the work reflects a movement from externally imposed narratives toward self-authored clarity. The paintings are marked by architectural compression, repeated motifs, and restrained palettes dominated by sienna, umber, and muted blues. Figures emerge within densely structured spatial fields shaped by assertive linear frameworks that …
Asobi: Play In Every Language, Jeffrey Gibbs
Asobi: Play In Every Language, Jeffrey Gibbs
Theses
In the era of iPad kids and screenagers, toys are struggling to engage children. The modern toy industry prioritizes eye-catching designs over meaningful stimulation, choosing to profit off of media franchising rather than encourage creative expression. Toys are too often designed in a way that limits the scope of play, forcing kids down a specific path rather than opening a world of creative possibilities. This narrow scope prevents imagination and decreases the overall lifespan of the product by encouraging product turnover. All of this contributes to an abundance of toys in the home, a reality linked to negative development outcomes. …
Asl Language Development And Interpreting Instruction: A Nationwide Study Of American Sign Language Interpreter Education Programs With Comparison To Spoken‑Language Interpreter/Translation Education, Alianna Giudice
Theses
Interpreter training programs in the United States vary in how they structure language development and interpreting instruction, with particularly stark differences between American Sign Language (ASL) interpreter training programs (ITPs) and spoken‑language interpreting and translation programs. In many ASL ITPs, students begin interpreting coursework before achieving foundational fluency, resulting in language acquisition and interpreting skill development occurring concurrently. In contrast, spoken‑language programs typically require incoming students to demonstrate functional fluency prior to beginning interpreting training. These structural differences may overwhelm ASL learners, constrain their linguistic development, and contribute to the graduation of interpreters who are not yet prepared to meet …
The Next Generation Of Police Station Design: Integration Of Officer Wellness With Operational Demands, Kayla Zill
The Next Generation Of Police Station Design: Integration Of Officer Wellness With Operational Demands, Kayla Zill
Theses
The design of police stations has traditionally prioritized efficiency of operations and security, overlooking the wellness of officers. This research analyzes the integration of Trauma-informed Design (TiD) and WELL Building Standards into police stations design to create environments that aid officer well-being while maintaining operational functionality. Through literature review, including research of current police station design guidelines, trauma endured by officers, Trauma-Informed Design principles, WELL building standards, and understanding of the need for wellness to be incorporated into police station design. Officer interviews then further understanding of the needs of officers to create a scorecard and program guidelines to refocus …
The Implications Of Expanding Solar Microgrids For Resilience In Puerto Rico, Adriana Dominguez Moret
The Implications Of Expanding Solar Microgrids For Resilience In Puerto Rico, Adriana Dominguez Moret
Theses
Puerto Rico’s energy landscape is defined by a cycle of continuous disaster recovery, exacerbated by its location in a high-risk natural disaster zone and a centralized grid prone to failure. The human cost of this vulnerability was exemplified by the 328-day power outage following Hurricane Maria, a period that rendered vital spaces unusable and highlighted the dire consequences of accelerated infrastructure aging and a heavy dependency on expensive fossil fuel imports. This thesis addresses these critical challenges by investigating the integration of community microgrid systems into the urban landscape as a strategic framework for power continuity. Using Casa Pueblo’s existing …
Urban Illumination And Circadian Disruption: Examining Artificial Light At Night, Caitlin Mcmasters
Urban Illumination And Circadian Disruption: Examining Artificial Light At Night, Caitlin Mcmasters
Theses
Artificial light at night is increasingly prevalent in dense urban environments, yet it remains unclear how often typical city lighting conditions likely exceed recommended nighttime limits for residential circadian health. This thesis evaluates nighttime light exposure in two contrasting urban districts, Back Bay in Boston and Times Square in New York City, using satellite derived nighttime radiance, GIS based urban morphology, and documented lighting infrastructure characteristics. Rather than relying on calibrated photometric simulations, the study employs a qualitative, evidence based comparative approach to assess relative façade exposure and interpret conditions against established benchmarks, including the WELL Building Standard and ILP …
From Village Core To Urban Impact: A Method For Assessing Community-Centered Design Across Scales, Jessica Randise
From Village Core To Urban Impact: A Method For Assessing Community-Centered Design Across Scales, Jessica Randise
Theses
By utilizing pioneered urban planning principles and design strategies that focus on creating human centric spaces, this research will contribute to a deeper understanding of intentional urbanism and the importance of place-based design. The built environment to which surround us plays a key role in impacting a community’s development and civic pride amongst its community members. By understanding and pinpointing the successful design strategies utilized in both the villages of Fairport and LeRoy, NY, other regionally similar places with lesser success can be revitalized. This will be accomplished through the understanding of key development categories across all three villages which …
Generative Ai To Support College Students During The Writing Process, Damionie Vernon
Generative Ai To Support College Students During The Writing Process, Damionie Vernon
Theses
The growing integration of Generative Artificial Intelligence (GAI) in higher education raises important questions about its role in supporting college students during the writing process. I used a mixed-methods approach, with a focus on quantitative questionnaires and qualitative written artifacts, to analyze patterns of GAI usage and perceptions by testing 34 college students. My thesis will explore these questions: (1) How do college students approach writing tasks in college?, (2) How do college students utilize generative AI to assist with writing tasks?, (3) What are the perceptions of college students on the use of generative AI to assist with writing …
Asymptotic And Series Methods For Nonlinear Differential Equations With Applications In Mathematical Physics, W. Cade Reinberger
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 …