Digital Commons Network^™

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. …

Dissonance, Shreya Talegaonkar

Theses

Cognitive dissonance represents a profound psychological phenomenon where conflicting beliefs create mental tension. My thesis, Dissonance, transforms this abstract concept into an immersive multimedia installation that visually explores the human mind's intricate journey of reconciling internal contradictions. Using Cinema 4D, Adobe AfterEffects, and Resolume Arena, the project creates dynamic 3D animations projection-mapped across an 8x8x6 cubic feet space. Carefully designed blackout curtains and strategic seating immerse participants in a transformative narrative of psychological exploration. Audiences navigate through four distinct phases: Consistency, Chaos, Turmoil, and Adaptation. Each phase invites viewers to experience the unsettling yet profound journey of internal conflict resolution, …

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 …

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, …

Machine-Learning And Game-Theoretic Inspired Strategies For Adversarial Freeze-Tag, Matthew Giacovelli

Theses

In this thesis, we explore three machine-learning and game-theoretic inspired strategies to address the Freeze-Tag Problem with adversarial agents (FTPA). We develop a custom Gymnasium envi- ronment where unfrozen robots collaborate to “tag” and unfreeze immobile frozen robots while avoiding being tagged by the adversaries. The FTPA models scenarios such as restoring disabled relay towers after a cyberattack where different towers vary in priority, repair difficulty, and ad- versarial threats. We evaluate three strategies: a baseline heuristic where unfrozen robots target the nearest untargeted frozen robot, a hierarchical approach that incorporates adversary interac- tions and likelihood of success into decision-making, …

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, …

Improving Obsolescence Management By Enhancing Supplier-Customer Collaboration, Mora Issa

Theses

There are currently many legacy facilities operating in the Middle East & Africa region that have plans in place to extend the plant life. Oil prices have been steadily going up, leading to increases in production, and driving economic growth. In order to extend the life of these older facilities, the sites are budgeting to replace critical parts accordingly. Obsolescence is an inevitable part of every product lifecycle and, with the new wave of technology and AI in the market, facilities face the challenge of increasing profitability in the fast-paced economy. The number of more efficient upgrades available presents an …

Analysis Of Team Size Effects On Technical Debt And Code Quality For Open Source Projects, Tyler Borrelli

Theses

Little research has been done to analyze the relationships between the amount of Technical Debt in an open source software project and the number of developers. This study seeks to identify the effects that team size and number of contributors have on Technical Debt and overall software quality. The results of the study observed after accounting for effects from code size that there was a negative correlation for issues with software quality, for example code smells or complexity, and the number of authors on a per file basis. This suggests that increasing the developer count most likely will not negatively …

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 …

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 …

Shell In The Sand, Mukund Kuntimad

Theses

sHELL in the Sand is a 2D animated student thesis film produced at the Rochester Institute of Technology. The film stars Travis, a newborn baby sea turtle who is trying to avoid certain death on his journey to the ocean. Among the threats he faces are sand traps, human litter, and natural natural predators. The main persistent threat that Travis has to deal with is a hungry pirate crab named Captain Fannyklaws, whose one goal is to make a meal out of Travis. The film serves as a metaphor for the struggles of everyday life that everyone goes through, showing …

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 …

Understanding The Effectiveness Of State Teaching Licensing For Deaf Instructors, Andrew Knox

Theses

This capstone research examines the systemic barriers that Deaf and Hard of Hearing (DHH) individuals face when pursuing state teaching licensure in the United States. Despite the growing need for Deaf educators, the current licensure process often marginalizes Deaf candidates by failing to provide adequate accommodations and relying heavily on standardized, English-based exams that disproportionately disadvantage non-hearing individuals. Using a mixed-methods approach that incorporates anonymous surveys of candidates’ experiences and a review of policy documents, this study uncovers key institutional biases and explores alternative pathways to licensure. These alternatives include performance-based assessments and innovative solutions such as video-based evaluations and …

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.

Cognitive And Emotional Theory Of Mind In Eating Disorders: The Mediating Role Of Alexithymia, Morgan R. Johnson

Theses

A number of studies have documented deficits in theory of mind (ToM), or the ability to infer the mental states of others, among individuals with eating disorders (EDs). Much of this research has focused on emotional ToM, as opposed to cognitive ToM, where mental inferences do not contain affective content. Alexithymia, a difficulty in the ability to correctly identify and describe one’s emotions, has also been reported among individuals with EDs. Alexithymia was hypothesized to mediate the relationship between ED symptoms and emotional ToM, as it has been shown in past research to significantly mediate emotion processing deficits in those …

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, …

Designing An Interactive System For Early Social Learning: Leveraging Emotion Recognition And Real-Time Feedback To Foster Early Childhood Emotional Mirroring And Social Skill Development, Yue Gu

Theses

For young children, traditional educational methods often rely too heavily on the caregiver's own time and energy as well as social attributes. There is currently no product on the market that mirrors emotions and provides real-time feedback on personality drawings that can simultaneously stimulate young children's recognition of facial emotions, understand and mimic expressions, and promote their social development. The purpose of this thesis is to design an interactive system to enhance early social learning in young children through emotion recognition and real-time feedback. The system utilizes a digital device's camera for emotion detection to detect children's facial expressions. It …

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 …

Comparative Analysis Of Artificial Intelligence And Statistical Models For Li-Ion Battery Cells State Estimation In Electric Vehicles, Rasha H.A. Tabasha

Theses

This graduate paper presents a comparative study of statistical modeling and Artificial Intelligence (AI) approaches for estimating essential parameters of lithium-ion (Li-ion) batteries in electric vehicles (EVs). The key parameters estimated in this study are voltage, current, and temperature of Li-ion battery cells in EVs. A precise state estimation is required to ensure safety operation, to optimize the Battery Management System (BMS), and to enhance the battery life. Variations in EVs batteries parameters may occur due to different reasons such as sensor faults or attacks. As a result, obtaining an accurate estimation is essential to maintain EV battery efficiency. Using …

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.

Assessment Tools In Verbal Behavior Research: A Systematic Review Of The Literature, Danielle Pisarek

Theses

Assessment tools are an essential component of applied behavior analysis (ABA), offering important information to assist in the design of intervention strategies for individuals with developmental disabilities, including autism spectrum disorder (ASD). Previous research has studied the validity, consistency, and effectiveness of some of these tools, with studies such as Dixon et al. (2017), Padilla and Akers (2021), Stewart et al. (2010), and Usry et al. (2017) providing insights into their attributes, shortcomings, and relevance. However, publications focusing on the use of these tools within behavior analytical research are lacking. This systematic literature review (SLR) aimed to identify and analyze …

Evaluation Of An Instructional Sequence To Promote The Emergence Of Convergent Intraverbals In Children With Autism, Jesika Woodard

Theses

Skinner (1957) defined intraverbal as a type of verbal behavior in which the

response form has no point-to-point correspondence with its verbal stimulus and is

followed by generalized conditioned reinforcement. Verbal behavior can be influenced

by multiple controlling variables, with convergent and divergent control being two

distinct types of this influence. In convergent intraverbals, multiple components of

antecedent verbal stimuli control a specific verbal response of the speaker. An example of

an intraverbal response under convergent control may be "banana" when asked, "What is

a fruit that is yellow?" De Souza et al. (2019) evaluated the effects of teaching …

Integrative Hyperspectral Approaches For Advanced Soil Property Analysis And Environmental Monitoring, Nayma Binte Nur

Theses

Hyperspectral imaging has emerged as a powerful tool for enhancing the analysis of diverse soil properties and environmental monitoring. This study refines the precision of soil biogeophysical analyses by improving the estimation of soil moisture content (SMC), soil organic matter (SOM), total carbon (C), and nitrogen (N) through hyperspectral remote sensing techniques. The research examines the capabilities of two prominent moisture retrieval models: the multilayer radiative transfer model (MARMIT) and the modified soil water parametric (SWAP)-Hapke model. These models are evaluated using hyperspectral imagery derived from unmanned aerial systems (UAS) and goniometric data collected across various environmental settings. The findings …

Lost Roots, Graziela Larroca

Theses

Lost Roots is an interactive 2.5D exploration game where players unite spirits by growing an underground network of roots. With a limited amount of roots to grow, players must unlock memories of the deceased and navigate through a cemetery in order to advance. The game serves as a unique take on the idea of purgatory, where the soul is essentially stuck and the player must find their own way out. The player first awakens underneath a tombstone with no memories of the past. Their only ability is to navigate through the dirt as a singular root, navigating around obstacles to …

For The Greater Good, Hannah Craft

Theses

The body of work included in my thesis exhibition explores how craft mediums can be used to create sculptural work motivated by narrative. Each piece presents a freeze-frame sculptural vignette in the instant before death occurs.