Digital Commons Network^™

Gamified Gait Rehabilitation Via Real-Time Biofeedback And Adaptive Hip-Exoskeleton Control, Mariya Huzaifa Tohfafarosh

Theses

Gait impairments arise from systemic diseases, age-related degeneration, musculoskeletal dysfunctions, or neurological conditions. While traditional rehabilitation can be effective, they often face challenges such as high costs, inaccessibility, and low patient engagement. To address these challenges, my work introduces a virtual reality-based rehabilitation (VRBR) system, integrating real-time motion and electromyographic (EMG) muscle activation feedback with a gamified virtual environment for enhanced adaptability and engagement. The system includes a custom-designed hip-exoskeleton that provides adaptive spring-like assistance or resistance, supporting both mobility-impaired users and strength training. Assistance levels can be tuned to match the user's progress. Additionally, a custom pressure insole was …

Analytical Studies Of Black Hole Systems, Alessandro Ciarfella

Theses

This work includes a series of analytical projects aimed at providing accurate initial data parameters for full Numerical Relativity evolutions of binary black holes (BBH), allow the evolution of multiple black hole systems, and the interpretation and modeling of high- energy collision of black holes. We first describe how to obtain accurate initial data for the evolution of BBH by extending the determination of quasi-circular orbital parameters described in [1] to 3.5PN, and by incorporating the small mass ratio limit by explicitly including the Schwarzschild and Kerr limits [2]. We then focus on eccentric binary black hole systems, developing a …

Predicting Customer Churn In E-Commerce, Hind Tawfiq Kazim

Theses

Customer retention has become a critical focus for businesses seeking to sustain growth and profitability in an increasingly competitive market. In this thesis, advanced machine learning techniques are used to develop a data-driven churn prediction model for Majid Al Futtaim's customer base. In an e-commerce environment, the research focuses on identifying the key transactional and behavioral factors that influence customer churn, based on customer relationship management theory. The study is contextualized in the context of increased digital consumer engagement and high customer acquisition costs, which make retaining existing customers more cost- effective than acquiring new ones. Our primary research questions …

Hybrid Sentiment Analysis Of Police Social Media: Managing Big Data Impact On Youth, Alunood Yousuf Alamiri

Theses

The pervasive influence of social media has reshaped public communication, particularly for institutions like law enforcement agencies that rely on these platforms to engage with the community. As police departments increasingly utilize social media to disseminate information, interact with the public, and manage public relations, the need for effective sentiment analysis becomes crucial. Understanding how police messages are received by the public, especially by the youth, who are among the most active and impressionable users of social media, is essential for maintaining public trust and ensuring effective communication. This thesis, seeks to develop a comprehensive solution for this challenge. The …

Predicting Patient No-Show Rate In Healthcare To Improve Operational Excellence, Saeed Ahmed Al Wari

Theses

The challenge of integrating no-show predictive models into healthcare environments is complex and multifaceted, extending far beyond the distinct technical challenge of building accurate models. This thesis will discuss more on the subject of incorporating machine learning into healthcare. While algorithmic accuracy and model validation are critical, they are a mere sub-system of a much larger operational, technological, ethical, legal and human ecosystem. Predictive models face mass deployment in healthcare systems which are complex networks of stakeholders across strict regulatory frameworks and deeply embedded workflows (AlMuhaideb et al., 2019). However, for these models to result in long term and real …

Forecasting Cryptocurrency Price Movements With Tweet Volume And Sentiment Analysis, Ahmed Alblooshi

Theses

Cryptocurrency markets are highly volatile and driven by rapidly shifting public sentiment and attention. Traditional financial models, reliant on historical pricing data, often fall short in capturingthereal-time,sentiment-basedbehaviourofcryptoinvestors. Among social platforms, X(formerly Twitter) stands out as a key influencer in crypto discussions, offering a rich source of public sentiment. The thesis presents a machine learning-powered tool that leverages tweet volume and sentiment to analyse short-term cryptocurrency trends. The primary aim is to design a practical analysis system that detects and interprets social media ”hype” around specific cryptocurrencies. By allowing users to choose a cryptocurrency name from a list, the tool provides …

Future Of Inclusive Education In The Uae: Supporting Learning Disabilities In Higher Education, Christina Ayub

Theses

Inclusive education is a critical component of higher education, ensuring that students with learning disabilities (LDs) receive equitable access to academic opportunities and institutional support. While global advancements in inclusive education have been significant, the UAE’s higher education sector faces unique challenges in accommodating students with LDs, particularly as technological disruptions, demographic shifts, and evolving policies reshape the broader educational landscape. This research investigates how a higher education institution in the UAE, such as RIT Dubai, might adapt its support systems for students with LDs, such as ADHD, dyslexia, dyscalculia, dysgraphia, and dyspraxia, under a range of plausible future conditions …

Transmit And Deceive: Addressing The Insider Threat To Beacon Security, Noah Troy

Theses

IEEE 802.11 Beacon frames exist at the forefront of modern Wi-Fi networks and facilitate a wide array of essential network functionality, from discovery to time synchronization and even transmit power control. However, the central role Beacon frames play in initial network advertisement comes at the price of incomplete security guarantees, leaving these frames historically vulnerable to forgery and granting significant leverage over proximal wireless devices to a malicious actor that can effectively spoof them. With the publication of IEEE Std 802.11-2020, beacon protection was introduced to enable the authentication of received Beacon frames, placating most concerns. However, beacon protection is …

The Role Of Digitalization Technologies In Enhancing Supply Chain Performance In The Service Industry: A Framework For Decision-Makers, Laith Hiasat

Theses

Digitalization technologies are proving to be effective in many different situations across the service industry. Technologies such as AI, blockchain, big data, IoT, IoE, 6G, digital twin, and cobots are showing positive effects when implemented in different types of companies. This research highlights the important role of digitalization technologies in enhancing supply chain performance within the service industry. Despite their adoption across sectors, limited research examines their specific impact on service supply chains. A comprehensive search of 3 academic databases identified 429 peer-reviewed studies published since 2019. PRISMA was implemented, resulting in a final dataset of 66 studies. A survey …

On The Use Of Nonlinear Electrophoresis For Separating Particles And Cells In Insulator-Based Electrokinetic Systems, Alaleh Vaghef-Koodehi

Theses

The increasing demand for efficient separation processes of micron-sized particles, including microorganisms, highlights the importance of developing low-cost, non-labor-intensive, and time-efficient techniques. Insulator-based electrokinetic (iEK) systems have proven to be a practical alternative to bench-scale methodologies such as centrifugation and membrane filtration. Several studies have reported the separation of microparticles by employing direct current (DC) voltages. However, all of them have overlooked the phenomenon of nonlinear electrophoresis (EPNL) and its role in the electrokinetic migration of particles. This study combines mathematical modeling and experiments to extend the capabilities of iEK systems. This dissertation has four aims: (1) to separate microparticles …

Shopping Quest: Transforming The Shopping Experience By Creating A More Immersive And Enjoyable Experience, Nagasai Vardhan Rao Sarvepalli

Theses

In the post-pandemic era, this thesis looks into how gamification and augmented reality (AR) can get customers back into physical retail settings. Brick-and-mortar stores have found it difficult to stay relevant as consumer preferences have shifted toward online convenience. Shopping Quest attempts to make in-store grocery shopping an engaging experience. The project started with qualitative surveys using a human-centered design process to determine the main frustrations of shoppers, which were navigation and remembering what to buy. The final idea makes use of a wearable AR interface that directs users with a virtual rocket and promotes exploration with collectible digital petals. …

Peach Street, Anastasia Lawrence

Theses

Peach Street connects to the universal phenomenon of losing innocence of childhood and navigating the perils and disappointments of the adult world and visualizes my ongoing experience with anxiety and what psychiatrists call derealization, the feeling of being detached from reality. Set in the same location as where I first felt immense panic, my photos create a fictional narrative where a small town, its residents, and the environment are being controlled by a force emanating from the town’s lake. The lake’s aura blinds the residents to its control, forcing them to live in a set way without personal expression or …

Wooden Spatial Analogies: Playful, Transformative Design Process Kit With Inclusion In Mind, Sarah R. Baxter

Theses

This paper concerns solutions to insufficient support in educational inclusivity through the subject of the five design process steps. It leverages the insights of researchers, such as Linda Silverman, regarding ‘visual-spatial learners’, individuals who perceive the world through images rather than words and thrive in navigating complex tasks, yet often face challenges with linear, step-by-step processes. This work critiques the conventional educational methods that frequently overlook the profound potential of spatially adept students. A final prototyped solution was assembled. The outcome was shaped, sanded, and painted wooden spatial analogies of play, designed for rearrangement, and interactively representative of the design …

On-The-Go Handbag: Sustainable & Biodegradable Handbag Design, Sydney Neff

Theses

Handbags have been an ever-present accessory in society for centuries, coming to symbolize not only fashion trends but status and femininity. They have evolved to hold extreme significance, being able to show a snapshot of who a woman is by taking a simple look inside. Purses have become a companion for consumers in many ways, accompanying them throughout important days and events, providing talking points, and even compliments for the user. However, these constant companions come at a cost. The fashion industry and the accessories produced within are an immense cause of environmental pollution. This provides an ever-present internal fight …

End-To-End Systems Limitations In Hyperspectral Target Detection Using Parametric Modeling And Subpixel Lattice Targets For Validation, Chase Canas

Theses

Hyperspectral target detection applies algorithms to high-dimensional images to identify rare targets, or objects of interest, within cluttered scenes of diverse backgrounds. Computational demands of processing hyperspectral datasets, along with their limited availability in both public and private sectors, imposes challenges in assessing system-level limitations of detection. This research presents a methodology to quantify end-to-end sensitivities and limitations through statistical modeling across thousands of target detection scenarios. The objective is to identify specific parametric thresholds where detection begins to degrade, based on “knees” in detection curves derived from model outputs of various scenarios. The model considers subpixel targets, where an …

The Intersection Of Spirituality, Commerce, And Art In The Work Of William Keith, Joan Gallagher

Theses

This thesis examines the nineteenth-century Tonalist artist William Keith, focusing on how he successfully integrated commerce, art, and spirituality to achieve financial success, artistic innovation, and spiritual depth. While scholars often emphasize the symbolism and religiosity in his work, they tend to overlook his financial accomplishments. This study explores Keith's background, religious influences, and artistic development within the cultural, economic, and social context of nineteenth-century America. As a Tonalist, Keith produced popular works for the art market; as a Swedenborgian, his art reflected the spiritual principles of that faith. Unlike his East Coast counterparts, Keith’s California-based landscapes captured the dramatic …

Beyond Barcodes, Ritul Chaudhary

Theses

Beyond Barcodes is a conceptual zine that investigates the narratives encoded within barcodes and reinterprets receipts as tools to examine the emotional layers of consumer behavior. Often dismissed as transactional byproducts, receipts in this project are reframed as carriers of memory, identity and self-worth—reflecting personal values shaped by frugality, guilt, and inherited beliefs about money. The zine unfolds through a series of illustrated vignettes, each centered around a category of spending: groceries, essentials, dining, vanity, and experiences. This arc traces a journey from survival to indulgence, ending on a bittersweet note—critiquing how consumer culture quietly shapes how we spend, what …

Realmweaver: Designing A Sandbox Simulation Game With Ai-Driven Storytelling, Tianzhe Fan

Theses

This paper introduces Realmweaver, a sandbox simulation game concept that combines artificial intelligence (AI) and procedural generation to balance player creativity and system automation. Realmweaver empowers players to create dynamic characters, build expansive worlds, and co-author narratives through adaptive AI systems. By leveraging technologies such as natural language processing and layered procedural algorithms, the game addresses challenges in maintaining narrative coherence and balancing user agency with system autonomy. The design framework integrates intuitive interfaces, including highlighted narrative systems and interactive hover functionality, ensuring accessibility while enhancing engagement. These features enable players to navigate complex systems and shape immersive worlds with …

Enhancing Aptv Reliability: A Study Of Design And Operational Efficiencies At An Aluminium Manufacturing Company, Mohammad Tayeb Alawadhi

Theses

This paper aims to focus on enhancing the reliability of Anode Pallet Transport Vehicles (APTVs) used in Aluminium Manufacturing Company. The primary objective of the project is to establish the causes of failure modes, assess the operational problems, and implement strategies that would prevent, reduce, or minimize the frequency of failure, low equipment utilization, and high maintenance costs. APTV performance analysis involves the use of maintenance logs, operational data, and engineering specifications to obtain the best results. Applying Failure Mode and Effects Analysis (FMEA), the study highlights the most critical parts causing the largest effect on operations, which include traction …

First-Order And Second-Order Adjoint Method And Stochastic Approximation For Inverse Problems, Adrian Heldt

Theses

We present a unified framework for estimating stochastic parameters in general variational problems. This nonlinear inverse problem is formulated as a stochastic optimization problem using the output least-squares (OLS) objective, which minimizes the discrepancy between observed data and the computed solution. A key challenge in OLS-based formulations is the efficient computation of first- and second-order derivatives of the OLS functional, which depend on the corresponding derivatives of the parameter-to-solution map—often costly and difficult to evaluate, especially in stochastic settings. To address this, we develop a rigorous computational approach based on first- and second-order adjoint methods for inverse problems governed by …

Development Of A Miniaturized Extracorporeal Membrane Oxygenation (Ecmo) Device On A Microfluidic Platform, Nayeem Imtiaz

Theses

This research investigates the design, performance, and optimization of blood-contacting microfluidic medical devices, with each aim contributing to a broader understanding of how engineering choices influence hemocompatibility and oxygen transfer. Collectively, the findings from Aims 1A–2B offer integrated strategies to develop safer, more effective microfluidic systems for ECMO and dialysis. Aim 1A assessed hemolysis across device geometries using computational and experimental methods. All designs showed low device-induced hemolysis (< 2 ppm), validating their hemocompatibility. However, Power-Law models frequently overpredicted hemolysis, indicating a need for refined parameters tailored to microfluidic flow conditions. Aim 1B demonstrated the effectiveness of thrombosis assay techniques in evaluating clot formation in microfluidic device geometries. Results showed that geometry and local shear patterns strongly influence thrombogenesis. While hemolysis remained minimal even in high-shear devices, thrombus formation was more geometry-sensitive—underscoring the need to account for both factors in design. Modifying surface properties and accounting for blood composition could further reduce thrombotic risk. In Aim 2A, we compared PDMS, polypropylene (PP), and nanoporous silicon nitride (NPSiN) membranes for oxygen transport. Findings showed that in ECMO devices, blood-side resistance, not membrane permeability, often dominates oxygen transfer. Thus, membrane choice must be paired with optimized blood-side flow for full performance gains. Aim 2B directly addressed these limitations by integrating staggered herringbone mixers (SHBs), which introduced secondary flows and enhanced mixing. The Single Channel Herringbone design yielded the highest oxygen transfer, confirming the synergy between flow geometry and oxygen transport performance. Altogether, Aims 1A and 1B establish a strong framework for hemocompatibility evaluation, while Aims 2A and 2B provide complementary insights into optimizing oxygen transfer. Their interconnections highlight the value of a systems-level approach to designing microfluidic blood-contacting devices.

Access To Justice For Deaf Defendants, Anna Zieba

Theses

Deaf individuals face systemic accessibility within the criminal justice system, which emphasizes the importance of the gaps in accommodations by the Americans with Disabilities Act (ADA). Inconsistent legal protection, limited access to interpreters, inadequate training for legal professionals, and a lack of technology resources obstruct effective communication for Deaf individuals. As a result, it prohibits achieving an effective and equitable legal outcome. This research paper will examine case studies, legal frameworks, and academic literature to highlight the critical need for reform, including mandatory Deaf culture training, standardized interpreting qualifications, and more resources to enable equitable access to justice.

Fantasy Exchange, Ella Tunis

Theses

Fantasy Exchange is a visual and written examination of the perpetuation of violence against women and the influence it has on the performance of femininity within structural patriarchy. After briefly working with the Rochester Police Department in Rochester, New York, I found myself incredibly struck by the everyday violence that I was made to watch people endure. During my time there, I made note of everything I witnessed and noticed the way that women's pain always seemed to have such a profound impact on me. Through image and text, this body of work explores visual metaphors of abuse found in …

Examining Food Choice Determinants In Ncaa Division Iii Athlete Participants Representing Multiple Sports, Olivia Towne

Theses

Objective: To examine determinants of food choice among NCAA Division III athletes using the Athlete Food Choice Questionnaire (AFCQ), focusing on gender, sport type, and seasonal status. Participants: 72 NCAA Division III athletes from 13 sports at a private northeastern university participated in an online survey during Fall 2024. Methods: Participants completed the 32-item AFCQ assessing nine food choice factors. Independent t-tests and Pearson’s correlations were used to compare factor scores by gender, sport type, seasonal status, and team success. Results: Performance, Sensory Appeal, and Food Values and Beliefs emerged as the most influential factors in food choice, while Weight …

From Contact To Care: A Comprehensive Analysis Of Mental Health Practices Across The Criminal Justice Continuum, Violet Ameele

Theses

This capstone attempts to gain a further understanding of the state of mental health training, protocols, and practices across the continuum of the criminal justice system. The various sections of this paper will look at law enforcement, corrections, and court/community and their roles in mental crisis training and interaction. As the topic of mental health is something increasingly discussed in the present day, it is also something that is in need of more research, in order to create higher standards when it comes to individuals with mental health concerns and ensuring that they receive the proper levels of care that …

Police, Prisons, Communities, And Courts: An Examination Of Criminal Legal System Responses To Neurodivergence, Rhys Miller Evans

Theses

Mental health in the United States is largely stigmatized and overlooked as a factor of crime. This capstone project critically analyzes the response of actors in the criminal legal system to neurodivergence and identifies areas for improvement.

Part One focuses on how police respond to those with mental health conditions and community-based supports that can reduce harm during these interactions. This chapter provides an overview of the prevalence of neurodivergence in the United States and how police are, or are not, trained to protect and serve this subset of the population. It explains the Memphis Model of crisis intervention and …

Silicon Photonics For Quantum Information, Evan Manfreda-Schulz

Theses

Quantum information science and technology (QIST) combines principles of quantum mechanics and information theory to develop new approaches for processing, transmitting, and sensing information. Practical realization of applications in QIST requires generation and validation of a significant amount of entanglement, which is not only a property but a logical resource. Silicon photonic integrated circuits (PICs) are an attractive platform for applications in QIST and for generating the entanglement resource because they are foundry-fabricated, are compatible with existing fiber optic infrastructure, have a small spatial footprint, and afford access to several high-dimensional (HD) degrees of freedom. This dissertation covers three projects …

Waylight: Mapping The Journey Of Faith, Emma Woerle

Theses

Waylight is a digital learning platform that reimagines how we explore the life of Jesus through maps, movement, and meaningful interaction. Designed to bridge the gap between static Bible study tools and the physical settings of Scripture, the platform allows users to follow curated journeys such as Miracles or Timelines across ancient Israel. The project began with experimental designs using three-dimensional terrain and literal religious symbols. These early versions lacked cohesion and felt visually heavy. As the work progressed, the design shifted toward a more refined two-dimensional aesthetic inspired by textures like layered paper and the craft of carpentry. This …

Visualizing The Dynamics Of Neuroevolution With Genetic Distance Projections, Evan Patterson

Theses

Evolutionary algorithms have shown substantial progress in recent years, especially in neural architecture search and neuroevolution applications. Despite their effectiveness, analyzing and understanding the evolutionary paths these algorithms traverse to reach solutions remains challenging. These algorithms often involve distributed computing strategies, which can include subpopulations or islands, and they explore massive or even unbounded search spaces in both continuous and non-continuous domains. Manually examining individual solutions to understand the evolutionary dynamics is often infeasible due to large population sizes, large genome sizes, and high generation counts. This work introduces a new methodology for visualizing neuroevolution population dynamics called genetic distance …

A Systematic Literature Review Of Behavior Analysis In Psychiatric Inpatient Settings, Stephanie Henry, Robbie Hanson

Theses

Applied behavior analysis (ABA) may be best known for the treatment of individuals with intellectual or developmental disabilities, such as those with autism spectrum disorder (ASD). However, ABA also has a long history of effective outcomes with other populations, such as with individuals who are admitted to inpatient psychiatric facilities (Dougher, 2004; Harvey et al., 2009). In 2018, 187,877 individuals in the United States were reported as receiving treatment for mental health disorders (Lutterman, 2022). Given behavior analysis’ success implementing operant procedures with these populations, an updated review of the literature on the use of behavior analysis within these settings …