Every Person A Home Every Home A Person, Emily R. Miller

Graduate Thesis and Dissertation post-2024

Every Person a Home Every Home a Person is a collection of poems that explores the meaning of “home” and the places where our homes are made. The collection consists of intertwining thematic threads that delve into what makes a home, including those found in physical houses, cultural identities and regional areas (in this case, Florida/the American South), other people, and personal identity. Through probing poems inspired by the author’s life and experiences as a queer, neurodivergent woman*, Every Person a Home Every Home a Person asks and tries to answer the question: what makes a home, and how do …

Empathy In Digital Healthcare, Michael R. Powell

Graduate Thesis and Dissertation post-2024

This dissertation investigates how the rapid expansion of telehealth, particularly in response to the COVID-19 pandemic, has reshaped clinician-patient interactions, with a focus on the role of empathy. Telehealth has broadened access to care and introduced new efficiencies, but it also presents distinct challenges in fostering the deep emotional connections traditionally associated with in-person consultations. By exploring how empathy is mediated through digital platforms, this research offers valuable insights into how empathetic connections can be supported, though not fully replicated, in virtual healthcare settings. Through a mixed-methods approach, including qualitative interviews with healthcare providers, the study examines both the barriers …

The Role Of School Culture And Autonomous Motivation In Supporting Academic Achievement And Teacher Retention In A Public Charter School: An Ethnographic Case Study, Amanda W. Reschke

Graduate Thesis and Dissertation post-2024

U.S. public schools are in crisis amid declining student achievement and widespread teacher shortages, particularly in the wake of the Covid-19 pandemic, putting students at risk for poor academic outcomes. Data from the National Center for Education Statistics (NCES) shows 4^th and 8^th grade students’ average reading and math scores have decreased by 5 points and 7 points respectively since 2019. Furthermore, NCES data showed that 53% of public schools reported being understaffed for the upcoming school year in August 2022, and by October 2022, 45% of public schools reported at least one vacant teaching position. While many …

Developing A Multi-Level Model Of Integrated-Organizational Resilience, Reza Bahari

Graduate Thesis and Dissertation 2023-2024

Most contemporary organizations work in unsteady environments and are impacted by various types of disruptions that have profound impacts on performance such as natural disasters, globalization, and financial recessions. Due to this, the concept of integrated organizational resilience (IOR) has become an important issue for both academic researchers and practitioners in recent years. A review of the literature shows that much of the research has focused on identifying and measuring the factors that affect OR in an effort to improve organizations' capacity for resilience. While significant research has been conducted in this area, much of the evidence focuses on a …

Machine Learning Algorithms To Study Multi-Modal Data For Computational Biology, Khandakar Tanvir Ahmed

Graduate Thesis and Dissertation 2023-2024

Advancements in high-throughput technologies have led to an exponential increase in the generation of multi-modal data in computational biology. These datasets, comprising diverse biological measurements such as genomics, transcriptomics, proteomics, metabolomics, and imaging data, offer a comprehensive view of biological systems at various levels of complexity. However, integrating and analyzing such heterogeneous data present significant challenges due to differences in data modalities, scales, and noise levels. Another challenge for multi-modal analysis is the complex interaction network that the modalities share. Understanding the intricate interplay between different biological modalities is essential for unraveling the underlying mechanisms of complex biological processes, including …

Eavesdropping-Driven Profiling Attacks On Encrypted Wifi Networks: Unveiling Vulnerabilities In Iot Device Security, Ibrahim A. Alwhbi

Graduate Thesis and Dissertation 2023-2024

Abstract—This dissertation investigates the privacy implications of WiFi communication in Internet-of-Things (IoT) environments, focusing on the threat posed by out-of-network observers. Recent research has shown that in-network observers can glean information about IoT devices, user identities, and activities. However, the potential for information inference by out-of-network observers, who do not have WiFi network access, has not been thoroughly examined. The first study provides a detailed summary dataset, utilizing Random Forest for data summary classification. This study highlights the significant privacy threat to WiFi networks and IoT applications from out-of-network observers. Building on this investigation, the second study extends the research …

A Multimodal Framework For Automated Content Moderation Of Children's Videos, Syed Hammad Ahmed

Graduate Thesis and Dissertation 2023-2024

Online video platforms receive hundreds of hours of uploads every minute, making manual moderation of inappropriate content impossible. The most vulnerable consumers of malicious video content are children from ages 1-5 whose attention is easily captured by bursts of color and sound. Prominent video hosting platforms like YouTube have taken measures to mitigate malicious content, but these videos often go undetected by current automated content moderation tools that are focused on removing explicit or copyrighted content. Scammers attempting to monetize their content may craft malicious children's videos that are superficially similar to educational videos, but include scary and disgusting characters, …

A Near Field Lagrangian Particle Modeling For The Multiphase Flow Of Reaction Control System Thrusters In Space Environments, Janice Zou

Graduate Thesis and Dissertation 2023-2024

In the current age of space exploration, the push to reach further to deep space presents a greater need for analysis and verification and validation of rocketry components in the space environment. Due to the nature of space, firings of rocket thrusters in space is a multi-regime problem. With the low density, pressure, and temperature of the environment, the resultant plume structure, seeded with unburnt fuel droplets, extends up to multiple orders of magnitude in distance as compared to a plume structure in the Earth’s atmosphere. The frozen droplets, or particles, create concerns including surface contamination and erosion, calling a …

Video Action Understanding: Action Classification, Temporal Localization, And Detection, Praveen Tirupattur

Graduate Thesis and Dissertation 2023-2024

Video action understanding involves comprehending actions performed by humans, depicted in videos. Central to the task of video action understanding are four fundamental questions: What, When, Where, and Who. These questions encapsulate the essence of action classification, temporal action localization, action detection, and actor recognition. Despite notable progress in research related to these tasks, many challenges persist and in this dissertation, we propose innovative solutions to tackle these challenges head-on.

First, we address the challenges in action classification (``What?"), specifically related to multi-view action recognition. We propose a novel transformer decoder-based model, with learnable view and action queries, to enforce …

Advances In High Performance Computing Through Concurrent Data Structures And Predictive Scheduling, Kenneth M. Lamar

Graduate Thesis and Dissertation 2023-2024

Modern High Performance Computing (HPC) systems are made up of thousands of server-grade compute nodes linked through a high-speed network interconnect. Each node has tens or even hundreds of CPU cores each, with counts continuing to grow on newer HPC clusters. This results in a need to make use of millions of cores per cluster. Fully leveraging these resources is difficult. There is an active need to design software that scales and fully utilizes the hardware. In this dissertation, we address this gap with a dual approach, considering both intra-node (single node) and inter-node (across node) concerns. To aid in …

Objective-Driven Strategies For Hpc Job Scheduling, Alexander V. Goponenko

Graduate Thesis and Dissertation 2023-2024

As High-Performance Computing (HPC) becomes increasingly prevalent and resource-intensive, there is a growing need for the development of more efficient job schedulers, which play a crucial role in the performance of HPC clusters. This dissertation manifests a comprehensive approach to this complex issue, contributing to three major components of the problem: (1) metrics of job packing efficiency and fairness, (2) advanced scheduling algorithms, and (3) job resource utilization prediction techniques.

To ensure high relevance of the results, this study emphasizes scheduling objectives. Therefore, scheduling quality metrics are investigated first, yielding a set of metrics that allow comparing alternative schedules and …

Models Of Information Diffusion And The Role Of Influence, Chathura Jj Don Dimungu Arachchige

Graduate Thesis and Dissertation 2023-2024

Information diffusion is significant in fields such as propagation prediction and influence maximization, with applications in viral marketing and rumor control. Despite conceptual differences, existing diffusion models may not represent identical underlying generative structures. A classification of diffusion of information models is developed based on infection requirements and stochasticity. The study involves analyzing seven existing DOI models on directed scale-free networks. The distinctive properties of each model are identified through simulations and analysis of experimental results. Our analysis reveals that similarity in conceptual design does not imply similarity in behavior concerning speed, the final state of nodes and edges, and …

Film As Ritual: Healing From Complex Trauma And Transmuting Pain Through Film, Lorraine I. Sovern

Graduate Thesis and Dissertation 2023-2024

Forward Fast, Always/Never (Together Forever) and Shotgun Baby are three short experimental documentary films as part of the requirements for earning a Master of Fine Arts in Feature Film Production from the University of Central Florida. These films focus on the unique power of cinema and its ability to assist in healing from complex trauma. Three films were produced on an artisanal, micro-budget scale.

This body of work confronts and examines the significant traumas from an abusive childhood upbringing (Shotgun Baby), the effects of misogyny in Western media on my developing filmic sensibilities (Forward Fast), and …

Spotting The Signs: An Investigation Of The Effectiveness Of A Peer Training Program In Increasing Students' Ability To Detect And Report The Warning Signs Of A Peer School Shooting Plot, Ashley T. Winch

Graduate Thesis and Dissertation 2023-2024

To date, there are no evidence-based peer bystander intervention trainings (BIT) aimed at educating peers in school shooting warning behaviors. The purpose of this study was to examine an interactive BIT where peers were taught warning behaviors related to someone planning a school shooting and how to report this information. This training was evaluated against a currently available training method (i.e., PowerPoint presentation based) and a control group to determine the best training approach. College students between 18 and 19 years old (N = 57) completed pre, post, and one-month follow-up assessments. At each timepoint accuracy in detection of …

Next-Generation High-Performance Virtual Reality And Augmented Reality Light Engines, Zhiyong Yang

Graduate Thesis and Dissertation 2023-2024

The immersive virtual reality (VR) and the optical see-through augmented reality (AR) are expected to revolutionize human lives in work, education, entertainment, healthcare, spatial computing, and digital twins, just to name a few. Next-generation VR/AR devices should exhibit a wide field-of-view (FoV), crisp image without screen-door effect, high dynamic range, compact form factor and lightweight, and low power consumption. Such demanding requirements pose a significant challenge to traditional direct-view display panels. To address these technical challenges, novel approaches need to be proposed. This dissertation is devoted to developing next-generation high-performance display light engines toward high resolution density, high optical efficiency, …

Advancing Cancer Classifcation Through Machine Learning Analysis Of Rna-Seq Gene Expression Data, Emil Agbemade, Amina Issoufou Anaroua, Dimitri Bamba

Data Science and Data Mining

This study delves into the classifcation of various cancer types using the RNA-Seq (HiSeq) PANCAN dataset from the UCI Machine Learning Repository, which encompasses a rich collection of gene expression data across multiple tumor samples. To improve cancer diagnosis and treatment, our methodology confronts the challenges inherent in high-dimensional datasets, such as the Hughes Effect and the Curse of Dimensionality, through innovative feature selection methods and machine learning approaches. A key component of our strategy includes the use of tree-based algorithms, particularly Random Forest, to refine the dataset to seventy genes of utmost relevance for tumor classifcation, and the application …

Software Company Workplace Bias In Technical Communication, Amanda Altamirano

Graduate Thesis and Dissertation 2023-2024

This dissertation is an interdisciplinary work that explores the intersection of humanities and technical communication by focusing on the presence and impact of software company workplace bias in technical professional communication. It focuses on workplace bias in technical communication because, when present, bias can impact the experiences that technical communicators and end-users (people who use the software) have with the software. This mixed-methods study consists of a survey, an interview, and a new diagram designed to help technical communicators mitigate biases in technical documentation. To understand better the presence and impact of bias in these workplace contexts, this study surveys …

A Gift For Teaching, Ella Kassis, Ranica Zaydvarg, Renata Silva

High Impact Practices Student Showcase Fall 2024

Our service-learning project involved volunteering at A Gift for Teaching in Orlando, Florida. A Gift for Teaching is a nonprofit organization with the goal of providing free school supplies to underfunded schools and teachers. We assisted in sorting through donated supplies, such as pencils, notebooks, art materials, and other resources, and preparing them for distribution to local teachers and schools. By working with this organization, we were able to support teachers and students within our community, helping to provide students with the learning experience they deserve

In An Immersive Space, Raising Awareness To Universalize The Concept Of Resistance And Hope, Elaheh Jazemi

Graduate Thesis and Dissertation 2023-2024

Inspired by my Iranian heritage, I symbolize my narrative of the social injustice and suppression prevalent in Iran. Through this thesis, I universalize the concept of resistance and hope for equality by raising awareness and giving a voice to the voiceless despite their significant sacrifices. In my studio practice, I sought to achieve a visual density that would enhance the immersive experiences. I constructed this by overlapping transparent materials such as tulle, resin, silk, and transparent sheets, creating a disorienting atmosphere that invites viewers to grapple with visual metaphors. This overwhelming ambiance, mirroring the despondent nature of the emotions conveyed …

Comical, Familial, Satirical: Exploring Visual Culture Through Portraiture And Graphic Narrative, Matthew D. Dunn

Graduate Thesis and Dissertation 2023-2024

My art examines visual culture using a plethora of techniques, formats, and materials. Recent works address family, pop-culture, and politics utilizing portraiture and short-form comics. Much of my art expresses humor through colorful, irreverent imagery, and many works employ satire and parody. Leveraging my experience as a professional illustrator and designer, I tailor my approach to each project, drawing upon divergent styles with an emphasis on polish and accessibility. I frequently adapt well-known images to recontextualize subjects. In my investigation of graphic narrative, I produced political comics, vintage comic book parodies, and experimental, interactive work. This body of work was …

On Vulnerabilities Of Building Automation Systems, Michael Cash

Graduate Thesis and Dissertation 2023-2024

Building automation systems (BAS) have become more commonplace in personal and commercial environments in recent years. They provide many functions for comfort and ease of use, from automating room temperature and shading, to monitoring equipment data and status. Even though their convenience is beneficial, their security has become an increased concerned in recent years. This research shows an extensive study on building automation systems and identifies vulnerabilities in some of the most common building communication protocols, BACnet and KNX. First, we explore the BACnet protocol, exploring its Standard BACnet objects and properties. An automation tool is designed and implemented to …

Exploring The Removal Potential Of Multi-Pollutants From Water Matrices With Innovative Speciality Adsorbents In A Field-Scale Filtration System, Jinxiang Cheng

Graduate Thesis and Dissertation 2023-2024

Driven by excess nutrients in water bodies, eutrophication has long been an issue in water resources management. Harmful algal blooms (HABs) in a highly eutrophic water body lead to hypoxia, creating a “dead zone,” which renders the oxygen levels inadequate for the survival of marine life. This study examined the field-scale filtration performance of two specialty absorbents to improve watershed remediation within a Total Maximum Daily Load program. The goal was to simultaneously remove nutrients and biological pollutants along Canal 23 (C-23) in the St. Lucie River Basin, Florida. The filtration system installed in the C-23 river corridor was equipped …

Developing A Course Enrollment Simulation Model To Improve College Graduation Outcomes, Rachel Straney

Graduate Thesis and Dissertation 2023-2024

The process of enrolling and completing the courses needed to earn an undergraduate degree involves complex interactions between individual students and institutional policies and procedures, especially because student and institutional priorities do not always align. Traditional social and behavioral statistical methods are ineffective for modeling these interactions. Simulation and algorithm-based modeling approaches have been underutilized in higher education, but their adaptability can accommodate the complexity of the degree attainment process. The purpose of this research was to design, develop, validate, and apply a multi-method Course Enrollment Simulation Model (CESM), which mirrored the process of college students enrolling in courses required …

Investigating Emerging Technologies In Civil Structural Health Monitoring: Generative Artificial Intelligence And Virtual Reality, Furkan Luleci

Graduate Thesis and Dissertation 2023-2024

Condition assessment of civil engineering infrastructure systems is of growing importance as they face aging and degradation due to both human-made activities and environmental factors. Nevertheless, challenges persist in data collection, leading to "data scarcity", and the need for frequent site visits in inspections, presenting significant obstacles in the assessment of the civil infrastructure systems. This dissertation aims to overcome these challenges by exploring the potential of two emerging technologies: Generative Artificial Intelligence (AI) and Virtual Reality (VR). In tackling the issue of data scarcity, the research question revolves around how Generative AI can be utilized to mitigate data collection-related …

Privacy And Security Of The Windows Registry, Edward L. Amoruso

Graduate Thesis and Dissertation 2023-2024

The Windows registry serves as a valuable resource for both digital forensics experts and security researchers. This information is invaluable for reconstructing a user's activity timeline, aiding forensic investigations, and revealing other sensitive information. Furthermore, this data abundance in the Windows registry can be effortlessly tapped into and compiled to form a comprehensive digital profile of the user. Within this dissertation, we've developed specialized applications to streamline the retrieval and presentation of user activities, culminating in the creation of their digital profile. The first application, named "SeeShells," using the Windows registry shellbags, offers investigators an accessible tool for scrutinizing and …

Psychometric Evaluation Of A Brief Measure For Body Image Concerns Related To Breast Appearance, Sivanne Mendelson

Graduate Thesis and Dissertation 2023-2024

The complexity of breast-specific body image concerns among women considering cosmetic breast surgery (CBS) underscores the need for a nuanced assessment tool. Despite numerous existing body image measures, there remains a need for a concise, validated instrument focusing on satisfaction with breast appearance. The development of the Breast Appearance Concerns Scale (BACS) aimed at assessing the multifaceted nature of breast-specific concerns through a patient centered lens within a population of otherwise healthy young adult women. The BACS was developed through a comprehensive review of existing literature and refined using exploratory and confirmatory factor analyses, in addition to Rasch measurement analysis. …

Industrial Safety: How Complacency At Industrial Facilities Has Evolved As A Result Of Widespread Corporate Leadership Induced Reductions In Force Of Essential Critical Infrastructure Workers, Christina Kniffin-Downs

Graduate Thesis and Dissertation 2023-2024

With the renewal of interest in nuclear energy as a green energy source, battery plant manufacturing for electric vehicles, and semiconductor fabrication plant construction, it is necessary to address the evolution of complacency as it relates to industrial facility leadership and the widespread reduction in force of essential critical infrastructure workers. As a skilled craft person in the piping trades, with almost two decades of experience in mechanical construction, ten of those years as a nuclear worker, and as a traveling pipefitter working at chemical, refinery, and gasification plants, I am intimately aware of the behaviors, practices, and procedures inherent …

A Case Study Examining The Implementation Of Multi-Tiered System Of Supports During Mathematics Intervention In Grades 3-5, Sarah Lumpkin

Graduate Thesis and Dissertation 2023-2024

ABSTRACT

This case study examined how Multi-Tiered System of Supports were implemented in mathematics at an elementary school, the factors that influenced teachers’ instructional choices, and how school leadership impacted implementation. Participants consisted of four elementary school teachers and four members of the school’s leadership team. The study focused specifically on mathematics teachers in grades 3-5. These three research questions guided the study: (1) How do mathematics teachers implement MTSS in grades 3-5? (2) What influences the teachers’ choices during MTSS implementation? and (3) How does school leadership impact the implementation of MTSS in mathematics intervention? A triangulation of data …

Acquiring, Appraising, And Applying Evidence To Facilitate Evidence-Based Medical Education, Meredith Ratliff

Graduate Thesis and Dissertation 2023-2024

This study explored evidence-based education in health professions education through three interrelated manuscripts. First, a scoping review of evidence-based medical education examined the use of the term “evidence-based” in the literature and the presence of evidence-based practices. The review analyzed numerous studies to understand how evidence-based education is defined and applied within the medical education community, highlighting key trends, gaps, and inconsistencies in the application of evidence-based principles. Next, a study employed an agile evidence-based instructional design (AVIDesign) model to create an evidence-based course in palliative care for medical students. This model integrated iterative development processes with evidence-based educational strategies, …

Capable Rhetoric: Embodied Rhetorical Listening And Midwives' Arguments For The Maternal Body On Instagram, Aminta C. Quintero-Jackson

Graduate Thesis and Dissertation post-2024

When women find out they are pregnant, they encounter discourse about their bodies they may not have consciously considered before. Frequently, the information is based on ideologies that consider maternal bodies to be inherently problematic. The discourse in this information informs and shapes women’s choices about the role of medical oversight in their pregnancies and impacts the perceptions they have of themselves.

Midwives argue that mothers and their bodies are not inherently problematic but are powerful and capable of childbirth. They argue that medical oversight has been too aggressive in birth management, interrupting the natural process of birth and causing …