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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 …
Antidistillation Sampling For Classification Models, Khawaja Abaid Ullah
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 …
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 …
The Emergent Wild, Allen Douglas
The Emergent Wild, Allen Douglas
Theses
This thesis investigates a shift from the structured, approval-driven process of illustration to a more exploratory and intuitive painting studio practice. While my training has emphasized careful planning and technical precision, it has also limited spontaneity and material engagement. In response, I adopt a process-driven approach that privileges improvisation and material agency, repositioning painting as a site in which control is negotiated rather than maintained. This change marks not only a methodological departure but an internal reorientation—from adherence to external standards toward a more self-directed and responsive mode of making. The expansion of my visual universe—through expressive mark-making, increased ambiguity, …
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 …
Atmospheric Noise Analysis In Observations From The Tomographic Ionized-Carbon Mapping Experiment, Audrey Dunn
Atmospheric Noise Analysis In Observations From The Tomographic Ionized-Carbon Mapping Experiment, Audrey Dunn
Theses
The Tomographic Ionized-carbon Mapping Experiment (TIME) instrument is a ground-based millimeter-wavelength grating spectrometer that illuminates a cryogenically cooled array of 1920 transition-edge sensor (TES) bolometers. The goal of TIME is to generate line intensity maps of singly ionized carbon ([CII]) during the Epoch of Reionization, when hydrogen became reionized by stellar radiation and the first galaxies were forming. This measurement requires a detailed understanding of the noise, most notably the 1/f noise from the time-varying atmosphere. In my thesis work, I performed an analysis of the power spectral density (PSD) and a traditional principal component analysis (PCA) on TIME data …
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, …
Navigating The Polycrisis: A Systems-Foresight Approach To Career Guidance For Generation Alpha In Dubai, Sumaiya Abdul Samad Muhammed
Navigating The Polycrisis: A Systems-Foresight Approach To Career Guidance For Generation Alpha In Dubai, Sumaiya Abdul Samad Muhammed
Theses
The global labor market is navigating a ”polycrisis” of technological disruption and macroeconomic volatility, rendering linear career trajectories obsolete. Traditional K-12 career guidance relies on industrial-era ”predict-and-place” methodologies, which fail to equip Generation Alpha for an economy defined by structural job churn. This misalignment is especially critical in Dubai, where the ambitious mandates of the Dubai Economic Agenda (D33) and Education 33 (E33) require an agile, future-ready talent pipeline. This study aimed to design and validate a foresight-driven advisory framework to replace static vocational matching with continuous futures literacy. Employing the Systemic Foresight Methodology (SFM), the research diagnosed the structural …
Like A Rolling Lychee, George Meng
Like A Rolling Lychee, George Meng
Theses
I grew up in Shanghai, China—a megacity with over 25 million people. I was privileged enough to avoid the grueling fate of taking the National College Entrance Examination (Gaokao). At 16, I moved to Sewanee, a small college town in rural Appalachia with a population of only 3,000. Overshadowed by that curiosity was the collision of two worlds and my sense of belonging and identity. I wasn’t fully aware of how I watched and copied others’ behaviors and mannerisms to blend in as an adolescent. Being a minority in the middle of nowhere Tennessee meant I was conditioned into fitting …
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 …
Can Climate-Responsive Infrastructure Enable Dubai’S 20-Minute City Vision By 2040?, Shoug Ahmed Al Ali
Can Climate-Responsive Infrastructure Enable Dubai’S 20-Minute City Vision By 2040?, Shoug Ahmed Al Ali
Theses
Urban mobility in the context of climate change has become a challenge in cities characterized by extreme heat conditions, where high temperatures and urban heat island effects reduce pedestrian activity and increase reliance on private vehicles. This study examines the key factors influencing walkability in Dubai using a strategic foresight framework. The research begins with environmental scanning through PESTEL analyses, followed by a strategic assessment using SWOT. Systems thinking is applied through causal loop diagram. Future-oriented foresight methods, including scenario planning, wild card analysis, and backcasting, are then applied to explore potential mobility futures. The findings indicate that extreme heat …
From Centralized Forecasting To Distributed Intelligence: A Dual- Framework Approach To Dynamic Load Forecasting And Federated Learning In Smart Grids, Tousiya Nazir
Theses
With the growing shift of conventional power systems toward decentralized smart grid electrical systems, many key challenges have come into action. Data privacy, scalability, and real-time decision making are major concerns. A vast amount of sensitive data is generated due to the widespread adoption of distributed energy resources (DERs), electric vehicles (EVs), and other intelligent devices. Although this data is useful for grid improvement, it also raises concerns about privacy, security, and communication, which, in turn, make centralized machine learning unsuitable. Because of the aforementioned issues, this thesis presents a dual framework contribution. Firstly, it offers a systematic and comprehensive …
A Reconfigurable Architecture For Dense And Sparse Matrix Multiplication In Processing-In-Memory, Timothy Avila
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 …
Genui: Customizing And Improving User Interfaces In Real-Time With Generative Ai, Ursula Parker
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 …
Low-Pressure Air Blast Atomization Of Non-Newtonian Hydrogels For Spray-Based Coating Applications, Jerry Baklycki
Low-Pressure Air Blast Atomization Of Non-Newtonian Hydrogels For Spray-Based Coating Applications, Jerry Baklycki
Theses
The conventional spraying of gels has a hallmark characteristic of requiring high operating pressures to supply sufficient energy for atomization. As a result, much of the existing research on sprayable gels has focused on applications that allow for such high pressures (Mallory 2012, Saurabh, et al. 2022). A form of gel known as hydrogels represents a group of water-based gels that can be derived from natural or synthetic materials, presenting an alternative due to their unique rheological properties. These materials are typically shear-thinning and may exhibit thermoreversibility, both of which can significantly reduce effective viscosity under appropriate conditions. Independently or …
Yes, I Think So?, Madeeha Ahmad
Yes, I Think So?, Madeeha Ahmad
Theses
Yes, I Think So? is a body of work that explores memory as something unstable and alterable by emotion, time, and lived experience. Influenced by my experience with epilepsy, the show meditates on how dreams, seizures, and waking life can blur together, fracturing a sense of consistency and continuity. Rather than thinking of memory as a definitive record of the past, I encounter it as a process of reconstruction. Wood serves as both a material and a metaphor. It records time visibly with its growth yet remains unpredictable in its resistance to complete control. Indigo dye moves the work farther …
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. …
Vibration Assisted Molten Metal Jetting Of Aluminum Alloys, Usama Rifat
Vibration Assisted Molten Metal Jetting Of Aluminum Alloys, Usama Rifat
Theses
Vibration has been used in different manufacturing processes such as casting, welding, and machining to reduce residual stress, gas porosity, and hot cracking, as well as to refine microstructure and improve strength. Vibration has likewise been coupled with additive manufacturing processes such as directed energy deposition and powder bed fusion to improve grain structure and mechanical properties. The molten metal jetting (MMJ) process, which ejects molten metal to 3d print metal parts, typically has a porosity of about 1%, which can increase further as the print bed temperature gets lower. The primary reasons behind this porosity are gas porosity and …
Tala: A Physicalized Syntax For Early Language Acquisition And Family Connection, Aaron Powell
Tala: A Physicalized Syntax For Early Language Acquisition And Family Connection, Aaron Powell
Theses
Families and clinicians face a persistent challenge: translating speech therapy from the clinical environment into meaningful, playful learning at home. While research confirms that parental involvement is the primary driver of successful intervention, a significant “implementation gap” exists between clinical benchmarks and everyday domestic life. This is not a failure of caregiver engagement or clinical expertise, but rather a failure of design; existing tools are often either commercial toys that lack therapeutic scaffolding or clinical ones that feel too sterile for the home environment. This thesis proposes a design framework for supporting flexible, family-centered participation in Early Intervention through Tala, …
Existing Buildings Against Climate Zone Shifts: Analysis Of The Resilience Of Existing Buildings In Changing Climate Zones, Adriana Rodriguez
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 …
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 …
Deaf Space 2.0 - Adapted And Scaled To Large Urban Infrastructures, Youngjin Yi
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, …
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 …
Energy And Cost In Cold Climates: Comparing Passive And Active Solar Design Upgrades For Homes And Their Ability To Reduce Energy Bills In Western New York, Gillespie Merod
Theses
This study examines the comparative effectiveness of passive solar design strategies and active solar systems for reducing residential energy expenditures while maintaining thermal comfort in Climate Zone 6A/B, with a focus on Western New York. A baseline single-family residence was created in Autodesk Revit and analyzed with Autodesk Insight (EnergyPlus) to assess energy performance across multiple upgrade scenarios. These scenarios encompassed targeted envelope enhancements, passive solar design strategies, deep energy retrofits, and photovoltaic (PV) system integrations. Results indicate passive measures, especially air sealing and insulation, can cut energy use by up to 76% with deep retrofits, though upfront costs and …
Loosie: A Nesting Furniture Collection, Maurice Bryan
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 …
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 …