Digital Commons Network^™

A Large-Scale Annotated Flight Time-Series Dataset And Geospatial Post-Flight Analysis Tools For Ngafid, Roman Kozulia

Theses

This work presents three contributions to the National General Aviation Flight Information Database (NGAFID): a maintenance-linked flight dataset forpredictivemaintenanceresearch, anaviationchartprocessingservice, and an interactive geospatial heat map for post-flight event analysis. The first contribution is a maintenance-linked flight dataset for predic- tive maintenance and prognostics research in general aviation. The dataset contains approximately 100,000 non-simulated maintenance work orders and more than a million multivariate flight recordings extracted from NGAFID. Eachflightisassociatedwithmaintenancerecordsandlabeledaspre-maintenance, day-of-maintenance, or post-maintenance. Flights are exported as one-hertz sensor time series with flight-phase annotations, while a clustering pipeline groups technician-written maintenance records into event categories. To our knowledge, thisisthelargestpubliclyavailablegeneralaviationflightdataset linked to …

Lost In Translation: Quantifying Political Sociolect Divergence And Testing Llm Reliability As Political Interpreters, Daniel J. Corcoran

Theses

In the United States political sphere, growing polarization between Democrats and Republicans, particularly their more ideologically extreme wings, has given rise to distinct English-adjacent languages, shaped by social tendencies and referred to as “sociolects”. These sociolects offer a new avenue to analyze and further quantify growing polarization, and as Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) become increasingly embedded in political and social analysis, understanding their depth of political reasoning, biases, and classification behavior has become imperative. In this study, we sourced comment data from the CNN, Fox, and MSNBC YouTube channels, spanning from 2020 through 2024, trained …

Navigating Errors: Voice Assistants And Aging Users, Bea Marithe V. Pulido

Theses

This study examined how age relates to usability, cognitive load, and affect when using voice-user interfaces (VUIs). VUIs such as Siri, Alexa, and Google Home are increasingly common and allow users to complete tasks through voice commands. While these systems can be convenient and accessible, especially for older adults, they often provide brief or unclear feedback when errors occur, making it difficult for users to understand what went wrong and how to continue the interaction. The current study compared older and younger adults (n = 40) to examine group differences in perceived usability, cognitive load, and affective change during VUI …

Personalization And Generalization In Machine Learning For Affective Ai, Rajesh Titung

Theses

Human emotional communication involves subtle, low-intensity, and context-dependent expressions influenced by sociocultural and interpersonal factors. Their inherent ambiguity and variability create heterogeneous data distributions, making affective phenomena difficult to model in naturalistic settings where expressions differ from exaggerated affect behaviors in acted environments. Affective AI faces the fundamental challenge of balancing personalization, which captures individual nuances, with generalization, which ensures robustness of affective AI systems across individuals. Traditional centralized models emphasizing generalization often fail to capture fine-grained expressive heterogeneity, while fully personalized models improve system performance for individuals but lack transferability and robustness. The central task is thus to develop …

Ethical Visual Truth: An Analysis On Vietnam War Photojournalism, Anna Lauryn Carmichael

Theses

This thesis examines the ethical dimensions of Vietnam War photojournalism through close analysis of four iconic photographs: Nick Ut's The Terror of War (Napalm Girl) , Eddie Adams's Saigon Execution , Catherine Leroy's Vietnam, February 1967 , and Gilles Caron's Untitled (Who's the Enemy Here?) . Rather than treating these images as transparent documentation, this thesis argues that Vietnam War photojournalism functioned as a contested medium of narrative construction, one whose most celebrated images achieved iconic status by conforming to Western visual conventions and institutional demands, rather than by capturing some unmediated truth. Drawing on the interconnected frameworks of visual …

Topological Tools For The Analysis Of Complex Networks And Higher-Order Networks, Jason P. Laruez

Theses

This dissertation investigates the intersection of topological data analysis and network science, applying and extending persistent homology, Betti numbers, and simpliciality measures to study temporal, evolving, and coevolving networked systems. We introduce a multi-layer zigzag persistent homology framework for analyzing temporal hypergraphs across multiple timescales simultaneously, and validate it on the DARPA Operationally Transparent Cyber dataset, where it produces topological signatures that distinguish malicious from benign network activity by source IP. We then apply topological tools to classical generative network models and their hypergraph extensions, characterizing how Betti numbers, filling efficiencies, and simpliciality measures evolve as these models grow or …

A Hybrid Approach To Phishing Email Detection: Leveraging Machine Learning And Large Language Models, Hessa Shamal Biri

Theses

Phishing attacks have reached a new level of sophistication through the deployment of large language models by attackers. The current AI-generated threats defeat existing detection systems which base their operation on past data. The thesis presents a hybrid system for phishing email detection which combines real email data with synthetic LLM-created samples to enhance traditional machine learning classifiers performance. The study created a hybrid dataset of 20,627 emails by combining 18,631 real messages from the Kaggle Email Classification Dataset with 1,996 synthetic emails. The synthetic emails were generated using four large language models LLaMA-3, Falcon, LLaVA, and Mistral to capture …

Smartdesk: Automatic Ticket Classification And Resolution Prediction Using Data Analytics, Danarir Almuhairi

Theses

Public and service-oriented organizations increasingly rely on digital ticketing systems to manage large volumes of citizen and customer requests. Despite this, many ticket management processes remain partially manual, leading to delays in case routing, inefficient resource allocation, and inconsistent resolution times. These challenges can negatively impact service quality, operational efficiency, and user satisfaction, particularly in large-scale public sector environments. This study proposes SmartDesk, a data-driven framework for automatic ticket classification and resolution time prediction using data analytics and natural language processing (NLP) techniques. The research leverages publicly available helpdesk and service ticket datasets to simulate real-world service environments where incoming …

A Comparative Static Analysis Of Identifier Clones And Homonyms In Open Source Projects, Jose Palomino Lau

Theses

Identifier naming is a core element of software engineering and program comprehension. While existing literature suggests that naming consistency is ideal, there is limited empirical data on identifier homonyms, instances where the same name is used for different behaviors. This thesis investigates these naming patterns through a manual analysis inspired by grounded theory, supported by static analysis with srcML across three open source projects in Java, C and Python. By establishing a behavioral framework through axial coding, this research classifies 771 identifiers into functional categories to document their presence and role within the code. The results reveal that naming redundancy …

Stance Detection On Social Media: The Impact Of Doping On Athlete Reputation, Connor O'Neill

Theses

Doping scandals can have a lasting effect on both athletes' and organizations' reputations, causing athletes to lose money and fans to lose trust in the organizations that govern their favorite sports. This paper investigates the impact a doping scandal can have on an athlete's reputation by  conducting a case study on Jannik Sinner, one of the top tennis players in the world, who ultimately accepted a suspension after testing positive for performance-enhancing drugs, despite being unintentionally exposed. Using data sourced from YouTube comments on tennis-related videos, a fine-tuned Mistral-7B-Instruct-v0.3 model with a classification head was used to carry out stance …

Gender Symbolism, Emmanuel Joseph Okechukwu

Theses

This thesis, Gender Symbolism, explores how contemporary ceramic practice can be used to challenge colonial ideas of gender and reclaim African perspectives on identity. Drawing from personal experience growing up in Nigeria as someone who did not conform to rigid expectations of masculinity, this work examines how gender has been historically constructed, policed, and misunderstood within both African and Western contexts. Through research into pre-colonial Nigerian societies, this thesis argues that gender was once understood as fluid, situational, and socially defined, rather than fixed within binary categories. The imposition of colonial rule, Christianity, and Western legal systems introduced rigid gender …

Reclaiming Suppressed Symbols: Yoruba Iconography And Nuyorican Identity In The Art Of Nitza Tufiño, Ariana Williams

Theses

This thesis examines the work of Afro-Puerto Rican artist Nitza Tufiño through Yoruba iconography, diasporic memory, and gendered Nuyorican identity. Grounded within the cultural and political context of the Nuyorican Movement of the 1960s and 1970s and, this study argues that Tufiño’s visual practice reframes suppressed African spiritual symbols through a woman-centered perspective, positioning Black femininity and spiritual labor as sites of resistance to colonial erasure and racial marginalization. Drawing upon Yoruba-derived cosmologies, Santería, and processes of visual syncretism, Tufiño integrates African, Indigenous Taíno, and Caribbean traditions to articulate a gendered visual language rooted in care, ritual, and collective memory. …

Integrating Artificial Intelligence Into Academic Writing: Development Of A Student-Centered Ethical Toolkit, Matteo Landais

Theses

The rapid growth of generative artificial intelligence in higher education has introduced new challenges surrounding authorship, academic integrity, and the role of writing in student learning. While institutional responses have often focused on restriction, surveillance, and AI detection, students continue to incorporate AI tools into their writing practices in increasingly normalized ways. This project argues that the issue is not simply whether students use AI, but how they use it and whether that use supports meaningful engagement with the writing process.

This applied project proposes a process-oriented and student-centered framework for the ethical integration of AI into academic writing. Learning …

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 …

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 …

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 …

Material Selection In The Mountain West: A Multi-Criteria Decision Analysis (Mcda) Based Approach For Architects, Melissa Bach

Theses

With modern advancements in technology and the expansion of a globally interconnected network, architects have access to a large range of building materials. Increasing public concern for the environment has prompted architects to prioritize materials that are more sustainable, but varying definitions of sustainability, coupled with unclear guidelines for material selection, repeatedly lead to uncertainty and decision-making challenges within the profession. To address this, a comprehensive methodology such as Multi-Criteria Decision Analysis (MCDA) is needed for the material selection processes. Furthermore, a gap in the literature demonstrates that the application of MCDA for material selection in the Mountain West region …

A Study Of Post -Quantum Cryptography Migration In An Emulated Enterprise Environment, Saquib Farooq Malik

Theses

The imminent maturation of Cryptographically Relevant Quantum Computers (CRQCs) represents a fundamental threat to the digital security infrastructure, specifically targeting modern cryptographic standards such as AES, RSA and Elliptic Curve Cryptography (ECC). While Post -Quantum Cryptography (PQC) offers a mathematical defense, the transition is complicated by the “Harvest Now, Decrypt Later ” (HNDL) strategy, where encrypted data is intercepted today for future decryption. This thesis explores the critical necessity of an organized migration strategy to protect long-term data sensitivity against the rapid advancement of quantum capabilities and addresses the gaps in the current migration landscape: the absence of a standardized, …

Mathamr+: A Unified Graph Neural Network Framework For Multimodal Mathematical Information Retrieval, Jacob Yoon

Theses

Mathematical Information Retrieval (MIR) focuses on developing systems that enable users to search for and retrieve documents containing mathematical content. A key challenge in building effective math-aware retrieval systems lies in jointly modeling the symbolic and operational structure of mathematical expressions together with their surrounding linguistic context. Existing approaches often use linear token sequences, losing structural information, or rely on separate models for text and math, limiting their ability to capture cross-modal patterns and learn contextualized representations. This thesis proposes MathAMR+, a graph neural network-based retrieval framework that jointly models Abstract Meaning Representation (AMR) graphs, Operator Trees (OPTs), and Symbol …

Asl Language Development And Interpreting Instruction: A Nationwide Study Of American Sign Language Interpreter Education Programs With Comparison To Spoken‑Language Interpreter/Translation Education, Alianna Giudice

Theses

Interpreter training programs in the United States vary in how they structure language development and interpreting instruction, with particularly stark differences between American Sign Language (ASL) interpreter training programs (ITPs) and spoken‑language interpreting and translation programs. In many ASL ITPs, students begin interpreting coursework before achieving foundational fluency, resulting in language acquisition and interpreting skill development occurring concurrently. In contrast, spoken‑language programs typically require incoming students to demonstrate functional fluency prior to beginning interpreting training. These structural differences may overwhelm ASL learners, constrain their linguistic development, and contribute to the graduation of interpreters who are not yet prepared to meet …

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 …

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 …

Genetic Algorithms With Psychological Tension Analysis For Music (Gaptam), Andrew Bowman

Theses

This work investigates a structurally grounded approach to algorithmic music composition using a stochastic Context Free Grammar (CFG) evolved through a genetic algorithm. While existing systems such as live-coding environments, DAWs (Digital Audio Workstations), and statistical models generate musical material, they typically lack explicit hierarchical organization, despite evidence that listeners perceive music sequentially and structurally. In this framework, derivation trees generated from an CFG serve as compositional candidates, which are evolved using subtree-based crossover and mutation. Fitness evaluation combines prior melodic heuristics with tension-based insights from music cognition research, introducing musically informed structure into the evolutionary process. A genetic system …

Competition And Community In Marx’S Alienation Theory: Addressing 21st Century Social Isolation Through A Laclauian Lens, Brett J. Zimmerman

Theses

Capitalism reorients human priorities by necessitating socio-economic competition and tying the preeminent priority of survival to the rate at which one accumulates material resources. The orientation of wage as the only means to survival has replaced the need for the working class to form tribes, build inter-group solidarity, and engage in their communities, resulting in a less fulfilling society. Marx is traditionally conceptualized as a political or economic thinker, and while much of his political and economic thought will be useful supplementary material, in Section I, I will be viewing Marx through a more interpersonal lens. The section will take …

Understanding The Alternative Normative Concepts, Dewitt W. Spiller

Theses

Matti Eklund's challenge to normative realism in Choosing Normative Concepts (2017) turns on the possibility of "alternative normative concepts"—concepts that play the same normative role as ours but have different extensions. Eklund argues that the ardent realist cannot express what he calls “the further question” about which concepts to use without either trivializing the answer or changing the subject. I argue that this challenge rests on an unstated assumption about how normative concepts are differentiated. I call this the Fragility Assumption. What I seek to show is that this assumption is not obligatory; there are live views of normative concepts …

Modeling And Autonomous Control Systems For A Delivery Drone Application, Dana Helal Alnuaimi

Theses

This thesis focuses on the development of a multi-drone navigation and control system, aiming to enhance payload capacities beyond the limits of single-drone systems. By integrating multiple drones to work collaboratively as a unit, this study addresses the challenges associated with lifting and transporting heavier payloads.

The primary objective is to design and evaluate a multi-drone system capable of working in tandem to transport larger payloads efficiently. The research aims to develop robust control algorithms, supported by system identification for dynamic modeling, and navigation strategies to enable effective coordination between drones.

The study employs a combination of simulation and real-world …

Nlp Crowdsourcing For Predominantly Oral Languages: The Case Of Bambara, Allahsera Auguste Tapo

Theses

Predominantly oral languages (POLs) face a significant "digital divide," as they are often excluded from the benefits of modern natural language processing (NLP) technologies, due to a lack of extensive, readily available machine learning (ML) datasets. We investigate methods to overcome this data scarcity for Bambara, a Manding language, spoken primarily in Mali, with a rich oral tradition but limited digital presence.     The research leverages crowdsourcing and community engagement to build high-quality ML ready dataset resources. Key contributions include methods for automatic speech recognition (ASR) and machine translation (MT) dataset collection and curation and for educational resource creation.      Our findings …

Beyond Anomaly Detection: Classifying Attacker Automation Level From Ssh Honeypot Behavioral Signatures, Ashley Alt

Theses

The proliferation of AI-assisted offensive tools has introduced a new category of cyber attacker that combines the speed of automation with the adaptive reasoning previously associated only with skilled human operators. Despite the richness of behavioral data captured by SSH honeypots, existing analyses treat interaction logs primarily as evidence of malicious activity rather than as a dataset capable of distinguishing between attacker types. This thesis investigates whether human-driven, traditionally automated, and AI-assisted attackers produce distinguishable behavioral signatures within SSH honeypot interactions, and whether machine learning techniques can reliably classify attacker behavior from session-level features. A controlled experimental architecture was developed …

Wegmans School Of Health And Nutrition’S Culinary Kitchen Cart Manual Development, Neena Bhala

Theses

To facilitate the initiation of culinary medicine at RIT, a manual to guide the use of a mobile kitchen cart was developed and evaluated. This manual was developed to support faculty, staff, and students’ use of a Mobile Kitchen Cart to be able to support culinary medicine and nutrition education activities. The Manual was directed to RIT faculty, staff, and students who have experience with the cart or intend to have future use with the cart. A qualitative evaluation study was conducted with ten participants including RIT faculty (n=2), students (n=4), and staff (n=4). Feedback on the manual was obtained …

Software Vulnerability Recidivism In Open-Source Projects, Brandon Keller

Theses

Software vulnerabilities present a major threat to businesses and individuals alike and it is therefore critical that a culture exists among software engineers to encourage the discovery and patching of security flaws. Vulnerability counts are a common way of evaluating a project’s security. However, this metric can run counter to building a developer culture of fault recognition if more vulnerabilities is always seen as a bad thing. While these counts can present a rough idea of a project’s history with security, they provide no insight into how the development team improves and learns as a result of a vulnerability. A …