Digital Commons Network^™

Determinants Of Profitability In Uae Banks (2019-2023): An Analysis And Forecast For The Next Five Years, Rashed Aljanahi

Theses

This study aims to analyze the factors that led to the banks' profitability in UAE from 2019 to 2023 based on factors such as capital adequacy, asset quality, and liquidity. With these factors and Return on Assets, the study seeks to determine the link between the variables affecting financial performance in the banking sector. The study relies on quantitative data from UAE banks to include statistical analysis and construct predictive models. The relationships between the variables are established using Multiple Linear Regression. At the same time, Random Forest Algorithms explore Non-Linear Interactions and Time Series Analysis using ARIMA models to …

Inclusive Design Archive, Roblyn Powley

Theses

The Inclusive Design Archive (IDA) is a conceptual research and design project that responds to the ongoing reliance on Eurocentric, male-dominated narratives in design education. Many art and design curricula continue to exclude underrepresented creators, movements, and methodologies, limiting students’ exposure to the full scope of global design practice. Even well-intentioned educators often lack accessible tools to bring diverse perspectives into the classroom in a structured, research-supported way. IDA offers a solution in the form of a contextual search application that helps educators and students explore topics through three intersecting lenses: Broader Perspectives, Intersectional Approaches and Alternate Narratives, and Concepts, …

Using Generative Models For Data Augmentation In Medical Imaging, Nilesh Kumar

Theses

Obtaining large amounts of labelled data in medical imaging is hindered by issues like privacy and cost, therefore limiting the gains that can be achieved from Deep Neural Networks (DNNs). A lot of work has shown data augmentation to be an effective strategy for expanding training data leading to more robust models. However, the lack of data is not always uniform across datasets e.g., some classes in a dataset may be underrepresented. This is particularly problematic because the overall good performance of a model on a dataset can easily mask the under-performance of underrepresented classes or instances. Naively employing data …

Advancing Prediction Of Stimulant Medication Misuse Through Graph Representation Learning, Hamid Razavi

Theses

The misuse of stimulant prescription medications poses a significant and escalating public health concern in the United States, particularly among young adults. Addressing this issue requires sophisticated methodologies capable of uncovering complex patterns and relationships in data. Geometric Deep Learning, a paradigm designed to analyze data with non-Euclidean structures, has achieved remarkable success across various domains, offering a powerful framework for tackling complex graph structure data challenges.

This study leverages Graph Convolutional Networks (GCNs) to predict the likelihood of stimulant medication misuse using data from the National Survey on Drug Use and Health (NSDUH). Individuals are represented as nodes in …

Surveying The Role Of Visual Analytics In Human-Machine Teaming, Naga Datha Saikiran Battula

Theses

Humans and machines both possess their unique capabilities and have their strengths and weaknesses, which can be complementary to one another and allow them to achieve a common goal. Teaming in the modern era involves text prompts, voice commands, gesture recognition, touch interfaces, and the latest visualization techniques that allow parties/agents to interact. Communication through visualization plays a vital role in allowing robust insights to be gained through a glance. Using visualization as a medium between humans and machines can increase the communication bandwidth. Human-machine teaming has witnessed much progress, with many theories and practical examples emerging. In the report, …

Utilitarian And Self-Representational: Player-To-Player Character Relationships In Final Fantasy Xiv, Zu Er Guan

Theses

This thesis studies the relationships between video game players and their player characters, the characters that they control, through the lens of player purpose and intent by conducting research using an online survey developed and analyzed using an interdisciplinary methodology based on existing studies in the field regarding avatar identification, player psychology, and queer and feminist theory. This thesis posits that are two types of player relationships with their player characters based on player intent—player characters as the personal avatar and representation of the self, and player characters as a tool for the execution of player control and gameplay experience. …

Optimizing Wind Wing Wall Ventilation In High-Rise Buildings Within Dense Urban Hot And Humid Climate., Arushi Bhatia

Theses

This study investigates how wing walls can increase natural ventilation in high-rise structures, particularly in hot, humid locations such as Mumbai, India. Using wind flow simulations and computational fluid dynamics (CFD) modeling, the study investigates how wind direction and the installation of wing walls affect airflow throughout the building. The study examines four scenarios, each analyzing how airflow varies when a building is located near surrounding structures of differing heights. It uses comprehensive CFD simulations to assess how alternative wing wall depth design can affect ventilation, as well as how wall-to-window ratio variation can contribute to airflows. Following these simulations, …

From Factories To Homes: A Comparative Analysis Of Adaptive Reuse In New England Industrial Buildings For Multi-Family Residential Conversion, Jeremy Weeden

Theses

The adaptive reuse of industrial buildings offers a promising path toward sustainable urban development, particularly in New England. This study investigates the feasibility and energy efficiency of converting an older, unused industrial building into a multi-family residential structure by evaluating three distinct wall assemblies that preserves the exterior brick facade: existing structural brick, a typical adapted wall assembly with interior 2x4 wood construction, and a high-efficiency adapted wall assembly with an additional interior 2x6 wood construction. Through a detailed case study analysis focusing on the building’s core and shell, this research aims to identify the most effective wall assembly for …

I Hear A New World, Katie Christ

Theses

“I Hear a New World” is a documentary short film that reflects on the relevance and persistence of nostalgia and tradition during a time of rapid technological advancement and societal change. The film highlights the memories and musings of 8 college students, who were all Class of 2020 high school seniors and whose senior traditions were inevitably brought entirely online due to the Covid-19 global pandemic to varied degrees of success. In rambling, thoughtful delivery, the Gen Z interviewees provide insight into their pre-pandemic internet obsession that led to their teenage reclusivity and how this perspective changed greatly following the …

…And So It Ends In A Tie, Crystal Hou

Theses

…and so it ends in a tie is a 2D frame-by-frame animated short film produced during the course of my 3rd year as a Master of Fine Arts student in the School of Film & Animation at Rochester Institute of Technology. The film explores themes of homosexuality, female sexuality, and the history of Japanese rope bondage through the fictionalized story of a fateful encounter between a rope-wielding martial artist and a mysterious woman who captures her attention. This paper serves as a documentation of the filmmaking process, a discussion of the ideologies and goals behind its creation, and a retrospective …

Modeling Stormwater Driven Plastic Debris In The Lake Ontario Watershed, Jayson A. Kucharek

Theses

Stormwater-driven plastic debris has emerged as a significant contributor to environmental pollution, particularly in urbanized watersheds like the Lake Ontario basin. This study focuses on developing a comprehensive framework to quantify and predict anthropogenic debris (AD) inputs and transport pathways across Monroe County, NY, using stormwater systems as a key vector. Over two years, empirical data on plastic debris were collected from storm drains retrofitted with LittaTrap™ devices across urban and suburban areas. Debris was weighed, categorized by material and use, and paired with spatial and temporal variables such as land use, rainfall, temperature, and wind events. A Support Vector …

Selling The City: A Qualitative Study On The Image Construction Of Times Square Through Its Media Environment, Sheetal Pandey

Theses

As a globally recognized symbol of indulgent consumerism and urban spectacle, the media environment of New York City’s Times Square plays a pivotal role in constructing its iconic image. This qualitative study uses a media ecology framework to analyze how Times Square’s digital displays, interactive installations, and live performances create an immersive experience that informs one’s image of it. Through participant observation and visual content analysis, this study examines how visitors interact with Times Square’s media landscape and identifies recurring media-driven themes. Observations reveal that Times Square’s media ecosystem invites constant public interaction, actively engaging visitors in a feedback loop …

Amorfe: An Ai-Integrated Interactive Brainstorming Interface, Ipshita Pal

Theses

Amorfe is an interactive multi-touch digital interface that reimagines brainstorming and collaboration using artificial intelligence (AI). Designed to make ideation more dynamic, the platform allows participants to explore, merge, and refine ideas in real time. AI is a creative catalyst, offering unpredictable outcomes and streamlining the brainstorming process. This makes Amorfe engaging, intuitive, and inclusive, encouraging active participation. The platform’s potential was demonstrated through a hypothetical scenario: “How do we create more green spaces on the RIT campus?” Four participants explored various brainstorming phases through touch interaction, leading to the creation of a prototype simulation video and a promotional video. …

Rental Property Demand And Supply Analysis Using Machine Learning, Ahmed Amiri

Theses

The real estate market in Dubai is famous for its activity and stimulating potential due to the geographical position of the emirate, well-developed transport and legal framework. Timely determination and prediction of rental price is crucial for investors, property owners and managers, tenants and authorities in their decision making to maximize returns and ensure market stability. Traditional approaches are insufficient for the analysis of the temporal and spatial relations between property characteristics and market processes, which require the use of sophisticated machine learning algorithms. This paper aims to predict the rental prices of properties in Dubai using machine learning models …

Social Media Intelligence: Responding To Crime And Violence In The Digital World, Chloe Lynn Sitton

Theses

The integration of social media into everyday life has transformed how crime is committed, communicated, and investigated. This capstone project examines the emerging field of social media intelligence and its growing influence on modern policing, surveillance, and the community. Drawing from sociological theory, law enforcement practice, legal analysis, and community-based research, this project offers a far-reaching interdisciplinary view of how social media is shaping crime and justice in the United States.

The Relationship Between Death Depression And Death Anxiety Among Cancer Patients In Saudi Arabia, Doaa A. Almostadi

Theses

This study explored the relationship between death anxiety and death depression among cancer patients in Saudi Arabia. The study sample consisted of 100 Saudi cancer patients, 50 male and 50 female, ranging in age from 18 to 85 with a mean age of 45.5. All participants completed a survey questionnaire that included three parts: the first part contained a demographic data form; the second part consisted of 20 statements to measure death anxiety using the Arabic Death Anxiety Scale; the third part was a 21- item, questionnaire designed to measure depression about impending death using the Death Depression scale-Revised Arabic …

Assessment Of Food Allergy Management And Interactions With Campus Dining Halls Among College Students At Rochester Institute Of Technology, Meghan Taylor

Theses

Objective: This study explored college student dining experiences to identify areas for improving Dining Service allergen management. Method: A cross-sectional survey assessed specific allergies, frequency of allergic reactions, confidence and satisfaction with Dining Services, epinephrine auto-injector use, challenges, suggestions and use of dietitian services. Analyses included quantitative and qualitative methods. Results: Of 74 survey respondents, 28 were eligible, with 61% reporting two or more allergies (mean 2.4 ± 2.0). Tree nuts, peanuts, and milk were most common. Students with multiple allergies were more likely to carry epinephrine auto-injectors (p=0.015), though overall adherence was low. Concerns included cross-contact, inconsistent allergen labeling, …

Undeserving And Underserved: Violence Victims And Society, Venita Monet C. D'Angelo

Theses

This capstone includes three papers that explore how structural disadvantage, place-based dynamics, and institutional responses shape the experiences of individuals and communities. The first paper focuses on the relationship between concentrated disadvantage, micro-places, and individual outcomes. It shows how crime is not randomly distributed but clusters in specific locations within disadvantaged neighborhoods. Drawing on theories of social disorganization and cumulative disadvantage, the paper explains how neighborhood and micro-place conditions intersect to shape long-term risks and outcomes for residents. The second paper analyzes a community-based intervention designed to reduce recidivism and revictimization. The evaluation considers the program’s design, goals, and limitations, …

Data Privacy Protection For Zero-Permission Sensors In Iot Systems, Xinyi Liu

Theses

The Internet of Things (IoT) has revolutionized various domains through real-time decision-making and automation, with sensors serving as foundational components. Zero-permission sensors, such as accelerometers and gyroscopes, are widely used in most IoT systems, enabling unrestricted data access without permission. Despite being traditionally perceived as low-sensitivity, recent studies have shown that these sensors can be exploited to infer sensitive personal information, raising serious privacy concerns. Local Differential Privacy (LDP) is a rigorous technique for numerical data privacy protection even when the data collector, such as an IoT service provider, is untrusted. LDP ensures privacy by adding noise to sensor readings …

Policing And Media: Past, Present, And Future, Mark Deratzou

Theses

This paper examines the historical relationship between policing and media, with a focus on how media has influenced policing within the United States. It begins by examining portrayals of policing in print and broadcast media, as well as major historical events, before discussing how media influences public perceptions of police. The paper then transitions to an examination of social media, focusing on how these platforms shape perceptions of police and how they are used by the public in relation to policing. The paper then concludes with a discussion of policing and media-related policies and reforms, as well as considerations for …

Predicting Students At Risk Of Dropping Out In The College Of Medicine At Mohammed Bin Rashid University Of Medicine And Health Sciences. A Machine Learning Approach To Understand Attrition Factors Over The Past Seven Years, Moza Sulaiman Al-Zaabi

Theses

This master’s thesis investigates student attrition within the College of Medicine at Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU) by applying the CRISP-DM methodology to analyse a dataset of 19 variables and around 2,000 records from Student Admission and Academic Performance sources. Although the dataset was relatively small, several machine learning models were developed to predict students at risk of dropping out, including Logistic Regression, Decision Trees, Support Vector Machines (SVM), and Artificial Neural Networks (ANN). Of these models, the ANN model, particularly when combined with Principal Component Analysis (PCA), achieved the highest performance with an accuracy …

Donut Day, Amelia Krouse

Theses

Donut Day is a 2D animated short film that was produced by Amelia Krouse at the Rochester Institute of Technology from 2023-2024. It was her third short film produced, and was just over three minutes long. The short is a comedic narrative piece that depicts the struggles of an office worker chasing after a dropped ring.

Ai-Driven Anomaly Detection In Cybersecurity, Mohamed Almansoori

Theses

India has witnessed a huge level of digitization in the last two decades which has greatly impacted its economy and society. But the increasing use of technology has also intensified the number and level of threats to cyberspace in the country. Signature-based detection systems that have dominated the cybersecurity field for years have not been up to the challenge of modern attackers who use more complex and diverse attack methods. These challenges are well understood and this research focuses on improving the cybersecurity anomaly detection in India during the period between 2003 and 2022 using advanced AI and machine learning. …

Chest Disease Classification Using Transfer Learning, Adarsh Neema

Theses

In the domain of medical diagnostics, the precise classification of chest diseases has become very important, particularly during the occurrence of the COVID-19 pandemic. This project proposes an innovative approach to automate the classification process through the usage of deep learning technique, and more specifically making use of convolutional neural networks (CNNs) and transfer learning, with a prime focus on the RESNET50 architecture. The primary objective is to develop a model which is intelligent enough to detect various chest conditions, including COVID- 19, viral pneumonia, bacterial pneumonia, and normal cases. Utilizing the rigorously pre-trained knowledge encoded within RESNET50, trained on …

Money Laundering Transactions Chronology Analysis Using Artificial Intelligence, Marwan Alawadhi

Theses

Money laundering is one of the most significant threats for the financial systems of the world, as it promotes other crimes and destabilizes the economy. This thesis presents an enhanced analysis of AI and ML on financial transaction data for the identification of patterns that relate to money laundering. It uses techniques like the Isolation Forest for the identification of outliers and clustering techniques like K-means and DBSCAN for identification of unusual transaction patterns across the four high risk countries that include United States, United Kingdom, Japan and Italy. The preprocessed dataset included different types of transactions like cross-border transactions, …

Greenmind: A Climate-Positive News Portal, Surabhi Singh

Theses

Greenmind is a website that promotes positive climate narratives for environmentally conscious individuals seeking hope and actionable solutions. It redefines how we approach climate change narratives by focusing on hope and progress. Unlike traditional media that often rely on fear to grab attention, Greenmind delivers stories showcasing actionable solutions and positive impacts already happening across the globe. Its core mission is to empower individuals to see themselves as agents of change, fostering collective action rather than promoting fear as a tactic for change. Greenmind’s approach to climate narratives is supported by research emphasizing the power of positive storytelling. Studies from …

Input Of Anthropogenic Debris Across A Rural To Urban Gradient In The Lake Ontario Watershed, Paige Arieno

Theses

Anthropogenic debris (AD) is now ubiquitous across terrestrial, marine, and freshwater environments. While plastic is typically the dominant material in AD, non-plastic materials, including metal, glass, processed wood, and concrete, are a large part of the diverse debris entering and moving through the environment and may have similar environmental impacts. Current estimates of plastic entering the Great Lakes are coarse and none exist for other AD. This gap precludes development of source-based mitigation plans. This study evaluated debris quantity and composition in tributaries and storm sewers entering the Rochester Embayment of Lake Ontario. Using LittaTraps™ installed in storm drains, we …

Evaluation Of A Token Reinforcement System For Assignment Completion In Students With Educational Disabilities, Brandon O'Dell

Theses

Token reinforcement systems are an effective tool in applied behavior analysis. Studies as early as the 1960s and 70s have demonstrated the effectiveness of token economy from addressing the behaviors of psychiatric patients (e.g., Allyon & Azrin, 1965) to supporting the academic achievement of students in school settings (e.g., McLaughlin & Malaby, 1972) Most recently, Espinoza and Hackenberg (2024) discussed the history and effectiveness of token reinforcement, while providing practical recommendations for its application. The current study aimed to implement a token reinforcement system to increase assignment completion and accuracy in three eighth-grade students with various medical and educational diagnoses …

Wildflowers A Novel, Kelli Roberts

Theses

Abstract for Wildflowers

Wildflowers is a feminist literary novel that examines the intersection of sex, power, and free will, exploring how these forces shape and define human agency. The story follows a group of women drawn to an enigmatic leader who promises enlightenment and empowerment through embracing their desires. As they navigate the fine line between self-actualization and manipulation, the novel delves into themes of liberation, coercion, and the choices we make to create the lives we long for. Provocative and thought-provoking, Wildflowers invites readers to consider the complexities of desire, the cost of empowerment, and the courage required to …

How Leadership Styles Impact Lgbtq+ Civil Rights, Milo Thompson

Theses

Leaders rely on different leadership styles to legitimize their rule and obtain political power. However, these leadership styles have positive or negative impacts for protecting human rights in the LGBTQ+ community. This thesis examines how political leadership styles impact protecting or repressing the civil rights of the LGBTQ+ community. This article argues that constitutionalist leaders who abide by the “rule of law” will better protect LGBTQ+ civil rights than personalist, ideological, or performative leadership styles. Drawing on both qualitative and quantitative research methods, this paper examines how leadership styles impact LGBTQ+ discrimination.