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Leveraging Generative Artificial Intelligence To Launch An Independent Game Studio, Douglas Evans May 2026

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 …


Integrating Embodied Expertise Into Dress History Academia Through Practice-Led Actualistic Recreations: A New Methodology And Test Thereof, Rowan Paramour May 2026

Integrating Embodied Expertise Into Dress History Academia Through Practice-Led Actualistic Recreations: A New Methodology And Test Thereof, Rowan Paramour

Theses

This thesis examines the usage of practice-led methodology for historic dress recreation projects and how to implement and objectively analyze the findings from such research in an academically rigorous fashion. In section one, I examine the distinction between different types of recreation practices, the establishment of embodied practice within historic dress research, address concerns centering practice-led methodology, and develop a methodology for practice-led historic dress recreation projects and rubric for assessment of that methodology. In section two, I fully test the methodology and rubric by utilizing it in my own recreation and present this process using the methodology’s proposed deliverables …


Artificial Intelligence In Video Production, Jonathan Ringor May 2026

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 …


Political Legacies Of Malcolm X, Sumair Ahluwalia May 2026

Political Legacies Of Malcolm X, Sumair Ahluwalia

Theses

This study explores the ways in which Malcolm X’s legacy has been co-opted by various institutions and actors, including, but not limited to, politicians, historians, the general public, the federal government, and other commentators. As a result of this co-optation, Malcolm’s revolutionary ideals have been diluted or sanitized in the years since his assassination in 1965. Different approaches have been utilized to reframe Malcolm’s legacy, which include associating him with American liberalism, framing his arguments at the end of his life as markedly less radical, and external interference with popular works about Malcolm, including The Autobiography of Malcolm X. Additionally, …


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 …


At The Crossing, Timothy Mulhall May 2026

At The Crossing, Timothy Mulhall

Theses

At the Crossing is a body of photographic work that stemmed from daily walks through the Genesee Valley Park. Having moved to a new and unfamiliar place, these walks were a way of drawing closer to the city of Rochester and the people who call it home. In the process, I discovered the vitality and democratic function of the park and its relationship to the larger city. In this space, people gather, celebrate, rest, and dream. It exists as a wild refuge, a pressure valve within the overall function of the city. In this way, it is one of the …


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 …


Like A Rolling Lychee, George Meng May 2026

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 …


Representative And Preferred Skin Color Rendition Of Photos And Avatars In Optical-See Through Augmented Reality, Dara Dimoff May 2026

Representative And Preferred Skin Color Rendition Of Photos And Avatars In Optical-See Through Augmented Reality, Dara Dimoff

Theses

Human skin color is embedded with information about mood, health, and age. While facial color is widely studied in dermatology and cosmetics, there is limited data available to map the subjective experience of skin color to measured data. The ability to derive the color that best represents a person’s skin would be valuable in a wide range of applications, from identifying an appropriate makeup foundation to achieving white balance in a video. When displaying skin tones, it is well-known that preferred renderings are different from accurate renderings. Rendering skin tones becomes more nuanced with complex rendering technologies such as augmented …


The Future Of Airport Operating Models And Seamless Passenger Journeys: Strategic Readiness Implications For Dubai World Central (2035–2045), Mohammad Abdulla Alsuwaidi May 2026

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 May 2026

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. …


Assessing Programmatic Gaps In The Community Engagement To Reduce Victimization (Cerv) Program, Sam Marino May 2026

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, May 2026

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 May 2026

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 …


Subject. Object. Thing., Cristin Hand May 2026

Subject. Object. Thing., Cristin Hand

Theses

Subject. Object. Thing. is part of an accumulating record of self-construction and self-reflection. The work considers the complications of visibility through self-portraiture, how the desire to be seen exists alongside the impulse to withhold, obscure, and substitute. Working across photography, performance, collage, and sculptural constructions made for the camera, I fragment, disassemble, and reconfigure my body as photographic subject and material. This exploration is structured around a series of oppositions; concealment/exposure, anonymity/specificity, subject/object, naked/nude, and destruction/reconstruction. I do not attempt to resolve these oppositions. Instead, I consider where these categories blur, contradict themselves, and become unstable. Central to this inquiry …


The Emergent Wild, Allen Douglas May 2026

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, …


From There To There, Daniil Kolchanov May 2026

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, …


I Like The Color Pink Because It Is Pretty, Jennifer Smyczynski May 2026

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 …


Perceptual Evaluation Of Deep Learning Models For Hdr Reconstruction Under Severe Overexposure, Alireza Rabbanifar May 2026

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 May 2026

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 …


Asobi: Play In Every Language, Jeffrey Gibbs May 2026

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. …


Urban Illumination And Circadian Disruption: Examining Artificial Light At Night, Caitlin Mcmasters May 2026

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 …


Adaptive Insider Threat Detection With Graph-Based Models, Rashed Hassan Nasser Alrazooqi May 2026

Adaptive Insider Threat Detection With Graph-Based Models, Rashed Hassan Nasser Alrazooqi

Theses

Insider threats represent one of the most challenging categories of cybersecurity risk facing modern organizations. Traditional detection approaches based on fixed rules, static thresholds, and signature databases are not effective for capturing the subtle and evolving nature of insider behaviour. This work proposes and implements a multi-stage unsupervised analytical framework for insider threat detection based on large-scale NetFlow telemetry. The framework operates through five interconnected stages: memory-efficient chunk-based streaming ingestion of raw NetFlow records, hourly temporal segmentation of host-level traffic statistics, composite anomaly scoring combining logarithmically scaled byte volume and flow frequency, weighted host-to-host communication graph construction with greedy modularity …


Generative Ai To Support College Students During The Writing Process, Damionie Vernon May 2026

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 …


Dissolved Nostalgia, Mckenna Ludmilla Brazie Apr 2026

Dissolved Nostalgia, Mckenna Ludmilla Brazie

Theses

No memory is eternal, no nostalgic experience is entirely authentic. This mantra is the catalyst for my thesis work, propelling the hunt for truth within my mind. I search through dissolving recollections and misplaced emotion in order to obtain some semblance of my life and how I feel about such experiences. While acknowledging my childhood, GenZ zeitgeist, metaphor, and surrealism through the ages, I strive to represent these findings in my large scale oil paintings. I refer to Fauves, surrealists, and landscape painters, among others to assist in my quest for personal truth. My paintings exist in the context of …


Two Centuries Of Sexism In British Parliament: A Computational Analysis Of Women’S Representation In The Hansard Corpus, Mandira Sawkar Apr 2026

Two Centuries Of Sexism In British Parliament: A Computational Analysis Of Women’S Representation In The Hansard Corpus, Mandira Sawkar

Theses

Detecting sexism and gender bias in text is a central problem in NLP, yet most existing work focuses on short, informal content such as social media posts. In contrast, much less is known about how sexism operates in long-form, formal discourse, where it is often expressed indirectly through rhetorical framing, appeals to tradition, or references to gender roles. Parliamentary debates offer a particularly rich setting for studying such language, but their scale, linguistic complexity, use of archaic English, and the presence of distributional shift across centuries make systematic analysis challenging and historically infeasible without automation. In this work, we analyse …


3d Infographic Animation Series Unleashing The Mechanism Of Disease (Mod) Of Ventricular Tachycardias In Cellular And Molecular Levels: Afterdepolarization Subtypes And Triggered Activity, Yan Ning ‘Harmony’ Wong Apr 2026

3d Infographic Animation Series Unleashing The Mechanism Of Disease (Mod) Of Ventricular Tachycardias In Cellular And Molecular Levels: Afterdepolarization Subtypes And Triggered Activity, Yan Ning ‘Harmony’ Wong

Theses

Ventricular arrhythmias (VAs) account for 75-80% of sudden cardiac deaths, causing 184,000 to 450,000 deaths annually in the U.S. VAs commonly occur in individuals with structural heart diseases, but idiopathic ventricular tachycardias (VTs) caused by delayed afterdepolarizations (DADs), early afterdepolarizations (EADs) and triggered activity, can also arise due to calcium ion discrepancies without apparent structural abnormalities. Despite advances in understanding abnormal impulse conduction, there is a paucity of visual aids that explain impulse formation anomalies of VTs. There are no 3D animations that link ECG interpretation to molecular dynamics in the cardiac EC coupling process. Moreover, ECG interpretation skills are …


What If You Were My Fucked Up Dad And I Was Your Fucked Up Boy And We Cried Together, Ferris Ramirez Apr 2026

What If You Were My Fucked Up Dad And I Was Your Fucked Up Boy And We Cried Together, Ferris Ramirez

Theses

When I was six, maybe seven, my father said I would be disowned if I ended up a faggot. Twenty years have passed since I learned to perform as someone else around my father. As I come to terms with our irreparable estrangement, I present a question to the father I fail to connect with and to an imagined man: What if you were my fucked up dad and I was your fucked up boy and we cried together? This line of inquiry is the very title of my multimedia series, framing concepts of projection, queer desire, fatherhood, role-playing, and …


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 …


Crave Nothing More Fervently, Jesse Gwilliam Apr 2026

Crave Nothing More Fervently, Jesse Gwilliam

Theses

Crave Nothing More Fervently is an expressionistic journey that struggles with my fear of time’s ceaseless advance towards death. Through the establishment of a personal visual style I call psychedelic perception, I look for a future that struggles against my personal fears of loss and death. This strategy aestheticizes the world as a strategy of pursuing a creative life that stands against fatality.  In Crave Nothing More Fervently my concept of psychedelic perception is a framework that extrapolates from the late cultural theorist Mark Fisher’s manuscript Acid Communism defined as a political ethic of adaptive creativity. Besides simply revealing the …