Digital Commons Network^™

Captivating Chemistry: Luminous Lava Lamps, Linsey Vo, Brinlie Bergman, Kylie Daum, Shayan Noor, Akshay Aramjisingh

High Impact Practices Student Showcase Fall 2025

Our group participated in STEM Day, an engaging biannual event that brings together K–12 students to explore the wonders of science, technology, engineering, and mathematics through hands-on experiences. When planning our presentation, we aimed to create an activity that was both visually exciting and easy for students of all ages to understand. We chose to demonstrate the concepts of polarity and density through a fun and interactive experiment in which students created their own lava lamps. This activity allowed the students to observe scientific principles in action while encouraging curiosity and enthusiasm for STEM learning.

The Cypress Dome 2025, Issue 36, The Cypress Dome Society

The Cypress Dome

Featuring the work of Aaliyah Ali, Zayne DeVoe, Jill Dolan, Lee Eimer, Juliana Erwin, Sarah Esteves, Erik Leon, Isabella Martorana, Gianna Palacios, Dylan Phillips, and Ashlyn Shepard.

Founded in 1989 and named after a natural feature of our campus, The Cypress Dome is the University of Central Florida’s undergraduate literary journal. It is edited, designed, and produced by a selected editorial team of students from our literary organization, The Cypress Dome Society, as part of a year-long internship.

Iactor: Integrating Flow Theory And Habit Principles To Combat Decision Fatigue In Audition Management, Colby L. Bell

Graduate Thesis and Dissertation post-2024

For many actors, the audition process can feel like a never-ending series of decisions—what to prepare, what to wear, what to bring, and how to keep track of it all. Each choice, though seemingly small, accumulates into a form of cognitive overload that can lead to burnout and disengagement. My fascination lies not only with how actors navigate this process but how we might reframe it. This thesis explores the question: How can I design a digital space that reduces decision fatigue and restores agency to actors preparing for auditions? Drawing from Mihaly Csikszentmihalyi’s Flow Theory, James Clear’s Atomic Habits …

Sliding Through The Cracks: An Evaluation Of The Fba System And An Exploration Of Traditional Trombone Training Practices, Simon Jones

Graduate Thesis and Dissertation post-2024

My experience as a low brass player trained in an FBA (Florida Bandmasters Association) program was well rounded. I attended a school with a rich history of continued excellence, taking part in various honor bands and preparing standard trombone repertoire for the Solo and Ensemble evaluations. Despite all of this, fundamental aspects of my trombone playing were lacking when I arrived at college, remaining unrectified until I started my master’s degree at UCF. I was a committed trombone player, regularly practicing multiple hours every day during my formative years. In retrospect, I realize that my performances suffered in fundamental areas. …

The Unindexed Marginalia Of Historical American Cookery Books Digital Public History Project: Domestic Technical Communication Labor Contributions, Alessandra Zinicola Lopez

Graduate Thesis and Dissertation post-2024

This dissertation includes a traditional written portion, and a non-traditional digital humanities public history online digital archive project created through Omeka which showcases examples of hand-written recipes found within commercial cookbooks, called marginalia. The understanding of modern technical communication is affected by the perceived history of the field and currently, that history is biased toward non-domestic pursuits. The project explores what collecting, digitizing, and archiving examples of historical hand-written marginalia found within commercially printed American receipt books indicate about the presence, participatory nature, value, and contributions of domestic technical communications and their user-authors in the 19th century. The examples collected …

The Spray And Atomization Characteristics Of An Lrdre Injector, Samuel J. Schuetz

Graduate Thesis and Dissertation post-2024

The Ongoing effort to advance the Technology Readiness Level (TRL) of Rotating Detonation Engines (RDEs) has faced significant challenges with respect to the development of accurate analytical models for the performance of liquid fueled detonations. A key issue lies in the lack of comprehensive experimental data to validate and refine these models. To address this gap, the present study seeks to provide detailed characterization data on a specific Liquid Rotating Detonation Rocket Engine (LRDRE) injector, which can be leveraged to improve simulation accuracy and predictive capabilities. This investigation is divided into two primary phases. The first phase focuses on the …

Statistical Analysis Of Interstitial Impacts On Shock-Driven Fuel Droplet Atomization, Miguel L. Moran

Graduate Thesis and Dissertation post-2024

Understanding the deformation and aerobreakup of liquid droplets is critical for designing fuel injectors for pressure gain combustion systems. Previous literature has observed the morphology and timescales of individual liquid droplets exposed to the convective flow fields behind moving shocks propagating between Mach 1 and Mach 10. However, the liquid droplets produced by an injection system are not isolated and have many close neighbor droplets of similar diameter. Understanding interactions between these droplets is necessary to reconcile existing theory with droplet behavior observed in liquid jets and droplet clouds. The present study uses a simple injector to create vertically oriented …

Application Of Industry 5.0 Attributes For Successful Implementation: Framework Of Manufacturing Excellence In Aerospace And Defense Industries, Rena Lewis

Graduate Thesis and Dissertation post-2024

As a novel concept, Industry 5.0 is making its rounds around the academic community and various industries. Despite its introduction over five years ago, definitions and perceptions are still under deliberation. Applications, methods of implementation and values are still in the conceptual phase. This study introduces a framework inclusive of human-centricity, sustainability and resilience, the pillars associated with Industry 5.0. It aims to differentiate the revolution from its predecessor, Industry 4.0, as it dives into the technologies associated with Industry 4.0 including but not limited to the Internet of Things (IoT), autonomous robots, and artificial intelligence. As those technologies evolve …

Smart Work Zone Connectivity For Traffic Safety Applications, Mariam Nour

Graduate Thesis and Dissertation post-2024

Work zones play a vital role in the maintenance and upgrading of roads and highways; however, they also pose substantial risks to both drivers and workers. Utilizing technology, such as Smart Work Zones (SWZs), Connected Autonomous Vehicles (CAVs), and data dissemination algorithms, is crucial in improving safety in work zones by providing decision-makers with timely and accurate information. Ensuring safety in these environments is essential for reducing accidents and fatalities and enhancing drivers' sense of security, and protecting the well-being of workers operating in hazardous conditions. In this dissertation, we proposed a methodology based on three complementary approaches to enhance …

Assessing Multi-Hazard Risks And Impacts Of Compound Climate And Weather Extreme Events For Socio-Economic Risk Management, Javed Ali

Graduate Thesis and Dissertation post-2024

In recent decades, compound climate and weather extremes, events driven by multiple drivers such as precipitation, storm surge, river discharge, and waves, have increasingly affected coastal regions, causing severe impacts on human life, infrastructure, ecosystems, and economies. Traditional risk assessments often underestimate these compound events by focusing on individual drivers independently. This dissertation provides a systematic assessment of multi-hazard risks and socio-economic consequences associated with compound events in the coastal counties along the U.S. East and Gulf Coasts. It introduces and applies a novel bottom-up impact-based methodology to assess the role of compound events in causing socio-economic losses in the …

Emission Spectroscopy Measurements And Post-Processing Methods For Nitromethane And Aluminum In A Post Detonation Enviroment, Hamil Patel

Graduate Thesis and Dissertation post-2024

The doping of conventional liquid fuels has been a topic of interest in the research community due to the potential for increased energy density and improved performance in oxygen-deficient environments. One of these proposed fuels is nitromethane doped with micron-sized aluminum powder. This work is focused on early spectroscopic measurements of each of these constituent fuel parts in a post-detonation environment that aims to mimic the real-world temperatures and pressures seen in explosives that are not typically replicated in experimental facilities. Spectroscopy was chosen as the primary diagnostic technique for these experiments because it can non-invasively probe the relatively harsh …

Liquid Fuel Cloud Detonation Propagation And Dynamics, Taylor R. Brown

Graduate Thesis and Dissertation post-2024

Detonations are a form of combustion that produce significantly higher work per specific volume than traditional deflagration combustion, thus are an active area of interest for increased combustion efficiency and power generation. However, the highly unsteady nature of detonations complicates the ability to harness their energy in a fieldable technology, prompting the need for a more fundamental understanding of the detonation phenomena. Fundamental detonation research has overwhelmingly focused on gaseous reactants due to ease of experimentation, though liquid fuels are increasingly relevant as their high energy density makes them more suitable for real-world engine applications, and much of the research …

Benchmarking Robustness Of Gait Recognition Models, Reeshoon Sayera

Graduate Thesis and Dissertation post-2024

This study investigates the robustness of gait recognition systems under realistic perturbations, with a focus on both silhouette parsing and gait recognition components. Experiments are conducted on three diverse datasets—CASIA-B, CCPG, and SUSTech1K—using five state-of-the-art parsing models and six gait recognition architectures. To simulate real-world degradations, we introduce 15 types of noise across five severity levels, resulting in 75 distinct corrupted scenarios. Our findings reveal that no parsing model performs optimally under all conditions, and transformer-based gait models exhibit greater resilience than CNN-based counterparts. However, all models remain highly sensitive to digital noise and occlusions. Interestingly, performance under temporal noise …

Advancing Responsible Ai: Disparity Mitigation Strategies For Human-Centered Ai Systems, Aida Tayebi

Graduate Thesis and Dissertation post-2024

In recent years, the widespread adoption of machine learning (ML) has driven the expansion of automated decision-making across various real-world applications. While ML models improve efficiency and predictive accuracy in domains such as healthcare, finance, and criminal justice, biases inherited from training data can potentially lead to unintended disparities. Growing awareness of these biases has raised concerns within the human-centered AI and responsible AI communities, highlighting the importance of promoting fairness in AI systems. Aiming for equitable outcomes in automated decisions is not only a technical goal but also an ethical consideration, as models influenced by biases may inadvertently reinforce …

Laminar Burning Speed Of Dme-Hydrocarbon Mixtures, Ahmed F. Safdari

Graduate Thesis and Dissertation post-2024

Fossil fuels, when burned in the air, release large amounts of carbon dioxide (CO₂) and greenhouse gases (GHG) into the air, causing significant pollution. To reduce greenhouse gas emissions (CO₂, CO, and NOₓ), alternative fuels such as Dimethyl Ether (DME) are being explored for their potential to offer cleaner combustion solutions. This study investigates the laminar burning speed (LBS) DME blends with several alkanes and alkenes in air at atmospheric pressure (1 atm) across a wide range of equivalence ratios (Φ). LBS is essential for understanding combustion characteristics, including combustion efficiency, heat release rates, and chemical kinetics. Accurate …

A Deep Learning Framework For Last-Mile Delivery Enhancement Using Social Media, Valeria Laynes Fiascunari

Graduate Thesis and Dissertation post-2024

Over the past decade, people have been spending more time online. Almost anything can be done from a laptop or cellphone. This is one of the reasons why e-commerce has been in a constant boom, as it is easier to buy something online and have it delivered to the front door than to go to the store. As more people engage in this activity, e-commerce platforms' challenges are more complicated and need to be addressed faster. However, these challenges escape the company's scope when external factors influence the objective of optimized deliveries, for example, traffic issues or bad weather during …

Removal Of Long- And Short-Chain Per- And Polyfluoroalkyl Substances From Surface Water Using Green Sorption Media–Nanofiltration Hybrid Processes, Md Touhidul Islam

Graduate Thesis and Dissertation post-2024

Per- and polyfluoroalkyl substances (PFAS) are a class of persistent environmental contaminants that pose significant risks to human health and aquatic ecosystems. This dissertation addresses the removal of both long- and short-chain PFAS from surface water through an integrated approach that combines green sorption media (GSM) with nanofiltration (NF). The research comprises laboratory-scale and field-scale studies designed to evaluate the effectiveness of novel recycled-material-based GSM formulations—namely, CPS and ZIPGEM—as pretreatment options to mitigate membrane fouling and enhance PFAS removal during NF. The study also investigates the adsorption mechanisms under varying water chemistry conditions, including pH, ammonia, and divalent cation concentrations. …

When Sediment Meets Strategy: Linking Shoaling Dynamics, Vessel Behavior, And Dredging Optimization, Matthew P. Davies

Graduate Thesis and Dissertation post-2024

Navigation channels are the economic arteries of U.S. maritime trade, yet their efficiency and safety are continually threatened by sedimentation and the escalating costs of dredging. Traditional tools used by the U.S. Army Corps of Engineers (USACE) to forecast shoaling and estimate dredging needs often fall short of capturing the complex interplay between channel condition, vessel behavior, and maintenance decisions. This dissertation develops and integrates three complementary innovations to address this challenge. First, a Parametric Linear Regression Methodology (PLRM) is introduced to improve shoaling predictions by blending long-term and short-term sedimentation rates with tunable weighting factors. This method achieves forecasting …

Cross-Layer Optimization In C-V2x Towards Level-5 Vehicular Automation, Mahdi Zaman

Graduate Thesis and Dissertation post-2024

Connected and autonomous vehicles (CAVs) necessitate highly reliable, scalable, and responsive Vehicle-to-Everything (V2X) communication systems. Despite recent advancements, Cellular-V2X (C-V2X) in its state-of-the-art form exhibits limitations in managing resource allocation and communication robustness, particularly in dense vehicular scenarios. Additionally, C-V2X standards have been tailored to particularly support periodic broadcasts; whereas true vehicular autonomy demands service-focused communication which differs in transmission behavior compared to periodic safety messages. This document addresses critical bottlenecks within C-V2X by developing cross-layer optimizations across physical, MAC, and application layers. This thesis proposes enhancements on C-V2X resource scheduling protocol with proposing novel adaptive and selective power control …

Examining Information Flows Within Transformer Models Using Transfer Entropy, Clayton Barham

Graduate Thesis and Dissertation post-2024

The rapid growth of artificial intelligence, in terms of both power and prevalence, motivates the need for new ways to study explainability in deep neural networks. This is especially true for transformer architectures and large language models, which are the driving force behind the current surge in artificial intelligence. The complexity of transformer architecture foils many pre-existing methods for studying explainability in deep neural networks. To address this gap in knowledge, this dissertation proposes a new method of studying explainability in transformer architectures that leverages insights from neuroscience, employing transfer entropy to map information flows between components of the transformer …

Study Of Injector Performance From An Accumulator-Based Plumbing System, Michael R. Benedict

Graduate Thesis and Dissertation post-2024

Accumulators are an alternative solution to pumps as they do not require energy in flight. This means power generated does not have to be diverted to an accumulator, boosting overall efficiency. Additionally, accumulators do not have pressure oscillations or cavitation risks typically associated with pump-driven systems. Further, they are lightweight systems with lower points of failure than traditional pumps. This makes them an interesting candidate for use in hypersonic flight. However, prior to flight data, accumulator-based systems should be tested statically on the ground to determine its feasibility. In this study, a piston accumulator is used in a plumbing system …

Fuel Injection For Hypersonic Air-Breathing Propulsion Systems, Justin Sprunger

Graduate Thesis and Dissertation post-2024

Hypersonic air-breathing propulsion systems face unique challenges related to fuel injection due to the supersonic flow in the combustor. For example, residence times within supersonic combustors are often orders of magnitude shorter than the timescales required for quality delivery of fuel. Additionally, because of the high incoming momentum of the free stream, fuel penetration is difficult to achieve without intrusive fueling structures. Intrusive fueling structures, however, are not desired as they induce high efficiency losses and require advanced cooling systems or thermal protection solutions. Therefore, an understanding of the trajectory of fuel injected from the sidewall of a combustor is …

Advancing Heterogeneous Collaborative Perception For Autonomous Vehicles, Babak Ebrahimi Soorchaei

Graduate Thesis and Dissertation post-2024

Recent advances in computational and communication technologies have enabled deep neural networks (DNNs) and high‐speed vehicular wireless links, paving the way for cooperative perception and cognition in autonomous systems. By exchanging complementary observations, these methods overcome inherent sensor limitations, such as occlusions and restricted range, and thereby improve the detection of partially hidden targets. However, real‐world deployments face challenges from noisy measurements (e.g., GPS inaccuracies) and heterogeneous perception stacks: vehicles often rely heavily on visual detectors, yet there is no standardization ensuring uniform object‐detector architectures across a fleet.

In this dissertation, we first explore the design of a lightweight detector …

Flywheel Technology: The Reliability Of Functional And Systemic Perturbations In A Crossover Design, Trevor J. Dufner

Graduate Thesis and Dissertation post-2024

The purpose of this dissertation series was to evaluate the reliability, validity, and applicability of the Desmotec D.EVO isoinertial flywheel device (D.EVO) for both isometric and dynamic squat assessments. Study one sought to establish the validity of the D.EVO for assessing squat maximal voluntary isometric contraction (FMVIC) versus a traditional squat maximal voluntary isometric contraction (TMVIC), determine the test-retest reliability of force and power outputs during FMVIC and flywheel squat protocols (FSPs), and explore relationships between these outputs and broad jump (BJ) and vertical jump (VJ) performance. We also identified the number of familiarization sessions needed for reliable data collection. …

Survivors Speak: Social Media's Influence On The Troubled Teen Industry, Jessica Hoffman

Graduate Thesis and Dissertation post-2024

This study focused on a three-year span of Twitter/X public tweets and discussions shared on the topic, The Troubled Teen Industry (TTI). Using the social listening tool Sprinklr, 7,743 public tweets were gathered on the matter and dissected to understand the influence the online conversation had on real-world changes in the industry. Narrowing down the initial 7,743 tweets to 2,447 applicable messages, this research analyzed the conversation surrounding the Troubled Teen Industry from the point of view of industry survivors and the role Paris Hilton and other influencers had on bringing the conversation to the digital space. The tweets meeting …

Better Models For Mosquito Control: Impacts On Nontarget Insects And Joint Species Distributions Of Mosquitoes, Jacob D. Hart

Graduate Thesis and Dissertation post-2024

Since its inception, mosquito control has been vital for limiting the spread of vector-borne pathogens. Modern control efforts balance the protection of public health and the prevention of environmental harm. We addressed this from two directions: the study of mosquito adulticide effects on nontarget insects, and fine scale distribution modeling of mosquitoes to better target control efforts. We first investigated the effects of ultra-low volume (ULV) pyrethroid applications on nontarget insects in Central Florida and found no statistically clear evidence of reduction in abundance or diversity. We reported a slight and statistically unclear reduction of night-flying Lepidoptera, and effective reduction …

Becoming Black In A Divided Diaspora: Identity, Human Security, And The Intra-Group Dynamics Of African Americans And African Immigrants, Pleasant O. Ogedengbe

Graduate Thesis and Dissertation post-2024

This dissertation examines the formation of a shared Black identity among Native Black/African Americans and African immigrants in the United States through an expanded intersectional framework that integrates Social Identity Theory (SIT), Intergroup Contact Theory, and Secondary Marginalization Theory, all under the broader lens of human security. Human security is broadly defined as the protection of individuals from critical threats to their dignity, survival, and livelihood. It is deeply implicated in the experiences of Black communities confronting systemic racism and social exclusion. This study conceptualizes shared identity as a socio-psychological construct and a protective mechanism that enhances group-level resilience and …

Boba Tea Shops And Identity: Exploration Of Boba Shops Among College Students In Greater Orlando, Naydelin Karime Trejo Vega

Graduate Thesis and Dissertation post-2024

This thesis explores the cultural and social significance of boba tea shops among college students aged 18 to 26 in Greater Orlando. Although many people view boba tea as a trendy drink, this study treats it as a meaningful part of some students’ daily lives, identity formation, and sense of belonging. Through a multi-method approach that includes participant observation, surveys, and semi-structured interviews, I examine what motivates college students to purchase boba tea and how boba shops impact their identity and sense of belonging. I conducted fieldwork at three different boba tea shops in Greater Orlando—two franchises and one locally …

Standby To Standby: How Time Weaponization And Social Currency Impact Identity Within The Veteran Community Upon Discharge., Nichole Ann Carminati

Graduate Thesis and Dissertation post-2024

This research project analyzed the first year of transition from active duty to civilian life by conducting 22 in- person interviews from veteran participants who served in the Global War on Terror post 9/11 and were discharged between 2001 and 2022. The purpose of this research was to identify key areas of vulnerability when evaluating veterans’ transition from military identity to civilian life. Global War on Terror Veterans are at an increased risk of difficulty transitioning to civilian life due to contributing factors of multiple redeployments, stigma over receiving medical and mental health care, and knowledge gaps in obtaining benefits …

The Southern Closet: A Survey Of Queer Community And Protest Methods Against Heteronormativity In Greater Orlando., Edward J. Lay

Graduate Thesis and Dissertation post-2024

In the United States, there have been efforts by the dominant socioeconomic class in Western countries, such as the United States, to regulate gender conformity and heteronormativity in schools, jobs, family structures, and public policy. Florida is no stranger to these efforts of regulation and has had a turbulent history with the LGBTQIA community, enough so that it has occasionally caught the public eye throughout the years. Exploring the actions and effects of the Johns Committee in the 1950s and 1960s, as well as the protests of Anita Bryant in Miami in the 1970s as they challenged equal rights ordinances, …