Digital Commons Network^™

On Transient Dynamics And Persistent Organization Of Landscape Evolution, Aysan Hassanzadeh Bavojdan

Graduate Thesis and Dissertation post-2024

The evolution and organization of landscapes result from the competition between tectonic uplift, fluvial incision, and hillslope diffusion. Understanding how these processes interact under varying external conditions (i.e., extreme climatic events) is critical for predicting landscape dynamics and long-term geomorphic adjustment. Using a physically based landscape evolution model, we first investigate how variations in the fluvial incision coefficient (K) and soil diffusion coefficient (D) mimic different climatic conditions and control the transient and steady-state organization of landscapes. Results indicate that landscapes with the same non-dimensional index (defined as the ratio of the timescales of advective (fluvial) to diffusive (hillslope) processes) …

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 …

Exploring Segmentation, Detection And Tracking In Videos, Jyoti Kini

Graduate Thesis and Dissertation post-2024

Perception is the cornerstone of autonomy, enabling agents to interpret complex environments through segmentation, detection, and tracking. These perception capabilities are fundamental to intelligent systems, whether guiding self-driving vehicles along urban roads, aerial robots mapping diverse terrains, or embodied AI agents interacting naturally with people and objects. Despite sustained research efforts, current perception models remain constrained by fragmented architectures, heavy annotation dependence, and poor generalization to unseen viewpoints, which hinder scalability and reliability. This dissertation advances scene understanding through innovations in segmentation, detection, and tracking, with contributions spanning four key directions that emphasize scalability through end-to-end formulations in 2D and …

Informative Path Planning Algorithms For Anomaly Detection, Samuel Matloob

Graduate Thesis and Dissertation post-2024

Informative path planning (IPP) algorithms are widely used to control the movement of drones or ground robots when the objective is to efficiently collect information from an environment of interest. For instance, in agriculture, drones might be used for the timely detection of outbreaks of plant diseases. Two distinct classes of IPP algorithms are the system2atic algorithms, where the robot moves in a regular planned pattern (such as lawnmower) aiming for uniform sampling and random algorithms (such as random waypoint) that aims to collect a random sample of the environment. In this dissertation, we present several novel IPP algorithms, that …

Thermal Characterization Of Cmc Materials Subjected To Deflagration And Detonation Process, Luis C. Longas

Graduate Thesis and Dissertation post-2024

Transition to greener fuels such as hydrogen is a process that requires developing several technologies. One of those is being able to develop materials that can withstand the higher temperatures of hydrogen combustion. One of the most promising materials are the ceramic matrix composites which could potentially replace the superalloys with thermal barrier coatings which are used in gas turbine engines. This project aims to characterize a ceramic matrix composite manufactured by Polymer Infiltration and Pyrolysis process. The characterization of the material would be done under deflagration and detonation operating conditions. This study would pave the way for the development …

A Predictive Model Of Adsorption Of Cryogenic Liquids In Aerogel-Based Materials, Julie E. Foroosh

Graduate Thesis and Dissertation post-2024

Commodities that are gaseous at standard temperature and pressure are generally stored in thick-walled pressure vessels, or as cryogenic liquids in vacuum-jacketed tanks. An advantage of cryogenic storage is that more mass can be stored per unit volume. However, cryogenic tanks are often bulky and cannot be made into conformal geometries. Adsorption storage in porous and flexible materials, such as aerogel blankets, is a promising method for storing these commodities. Previous studies have shown that when the commodity is adsorbed from the liquid cryogen, instead of from a gaseous state, the mass adsorbed per unit volume of aerogel blanket is …

Modeling And Predicting The Thermal Behavior Of Si/Cnt Nano Composites Using Pinns, Olamide Osigbemeh

Graduate Thesis and Dissertation post-2024

Silicon/Carbon Nanotube (Si/CNT) composites have shown great performance as Thermal Interface Materials (TIMs) for cooling in advanced electronics. The heat transfer in these materials is highly influenced by the interfacial thermal resistance (ITR) at the interfaces between the CNT filler and the silicon matrix. The ITR poses a critical challenge that hinders the design and performance of the TIM. This research designs a Physics Informed Neural Network (PINN) that predicts the thermal behavior of Si/CNT through a forward and inverse solver since they are known networks in solving complex partial and ordinary differential equations. However, despite the advantages of PINNs, …

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 …

Autonomous Navigation And Real-Time 3d Reconstruction Of Interior Spaces Using A Quadruped Robot, Steve Wilhelm

Graduate Thesis and Dissertation post-2024

This thesis develops and evaluates a ROS2-based application that enables the quadruped robot Unitree Go2 to simultaneously perform autonomous navigation, real-time mapping, and 3D reconstruction in indoor environments using Simultaneous Localization and Mapping (SLAM). The robot system, equipped with onboard sensors, aims to generate high-resolution point clouds that provide detailed 3D scans. The assessment focuses on the platform’s practical feasibility, operational reliability, and accuracy. The hardware setup combines the Unitree Go2 robot with its built-in sensors, a high-resolution 3D LiDAR, and an RGB-D camera. Software components include ROS2, the Unitree SDK, a navigation framework, and SLAM approaches. The application was …

Towards Robust Deep Learning: Label Noise Modeling, Algorithms, And Applications, Diego Fernando Linares Gonzalez

Graduate Thesis and Dissertation post-2024

This thesis investigates robust and hybrid deep learning with emphasis on improving accuracy and generalization in challenging real-world settings, including learning under noisy supervision and applications to complex scientific data.

In the first part, we address instance-dependent label noise by using a tensor factorization–based methodology that models the noise transition process as an instance-dependent decomposition. We also utilize low-rank block-term structures to capture class-specific and instance-specific correlations. Moreover, we include a robust loss function and rank regularization to achieve stable optimization during model training. We validated this with experiments on benchmark datasets, like Fashion-MNIST, CIFAR-10, and CIFAR-10N, demonstrating higher accuracy …

Reconfigurable Antenna Arrays For Mm-Wave Directional Software-Defined Radio Communications, Ectis Velazquez Jr

Graduate Thesis and Dissertation post-2024

This dissertation explores design challenges and promising solutions for mm-Wave directional software-defined radio (DSDR) reconfigurable antenna arrays. Current state-of-the-art solutions for DSDR antenna arrays at mm-Wave frequencies are typically limited to one beam, which does not take advantage of the directivity and spatial reusability of mm-Wave bands. Additionally, mm-Wave phased array antennas typically incur large amounts of loss from both commercial and state-of-the-art beam steering methods. In this dissertation, both challenges are addressed and so- lutions are proposed through several novel antenna array designs. The first challenge, designing an array for mm-Wave DSDR communications is achieved through a switched-beam array, …

A Framework For Machine Learning Surrogate Modeling In Physics-Based Reacting Flow Simulations, Jose O. Bobren-Diaz

Graduate Thesis and Dissertation post-2024

The design of next-generation combustion systems relies on computer simulations that capture the multidimensional and multiscale physics of turbulent reacting flows. These simulations are computationally intensive, requiring trade-offs to produce results within allowable time and cost constraints. These trade-offs often consist of general assumptions and modeling simplifications that approximate complex physical phenomena. Consequently, these models can limit both the accuracy and the regime of applicability to real systems since these approximations are often heuristic and inconsistent with the governing physics. Moreover, in today’s rapid design-to-prototype development phase, making timely and informed design decisions is important. This requires fast and reliable …

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 …

Communication-Aware Trajectory Prediction And Tracking For Connected And Autonomous Vehicles, Arash Raftari

Graduate Thesis and Dissertation post-2024

This dissertation presents a unified framework for communication-aware trajectory prediction and vehicle state tracking in connected and autonomous vehicle (CAV) systems. Unlike most deep learning–based forecasting models that assume full observability of surrounding agents, the proposed approach explicitly accounts for limited communication range, packet loss, and bandwidth constraints that characterize real vehicular networks.

A model-based, error-driven information-passing policy is introduced to extend situational awareness beyond one hop. Rather than relaying messages based on distance or freshness, each vehicle evaluates the utility of received content in reducing system-wide position tracking error (PTE). Using compact Gaussian Mixture Model (GMM) representations of motion …

A Multivariable Feedback Approach To Individual Pitch Control For Fatigue Load Reduction In Wind Turbines, Kazi Ishtiak Mohsin Mr.

Graduate Thesis and Dissertation post-2024

This dissertation investigates advanced control strategies to improve performance and reduce fatigue loads in both land-based and floating offshore wind turbines. The proposed approaches target fatigue load mitigation at critical component frequencies while ensuring rotor speed regulation and efficient power generation. The control strategies are implemented and validated using both our in-house modeling and simulation platform, CRAFTS (Control Oriented Reconfigurable Acausal Floating Turbine Simulator), and the industry-standard OpenFAST model.

For land-based turbines, torque actuation and collective blade pitch control are incorporated into a nonlinear controller for rotor speed regulation and power generation. To address fatigue load reduction, individual pitch control …

Attention-Based 3d-Convolutional Neural Network Model For Mechanical Property Predictions Using, Daniel E. Traczyk

Graduate Thesis and Dissertation post-2024

Additive manufacturing (AM), while commonly used for rapid prototyping and creating components with complex geometries, has not been widely adopted for critical applications across the aerospace, automotive, defense, energy, and medical industries. This is, in part, due to the challenges of controlling flaws and uncertainty in the mechanical behavior of additively manufactured components. In recent years, there has been an increase in research aimed at predicting the final mechanical properties of additively manufactured components during the printing process. To address these issues, a 3D-CNN model was trained using low-cost in situ visible-light camera data, anomaly classifications, and the chosen process …

Load Modulated Balanced Amplifier (Lmba) With Antenna-Vswr Resilience For Energy- And Spectrum-Efficient Communications, Jiachen Guo

Graduate Thesis and Dissertation post-2024

The rapid evolution of 5G and forthcoming 6G networks demands higher data rates and lower latency within increasingly congested spectrum resources. Advanced modulation schemes such as high-order quadrature amplitude modulation (QAM) and orthogonal frequency-division multiplexing (OFDM) have been widely adopted to improve spectral efficiency; however, these techniques substantially increase the peak-to-average-power ratio (PAPR) of transmitted signals. To enable power amplifiers (PAs) to operate efficiently under this conditions, load-modulated balanced amplifiers (LMBAs) have been developed as an effective solution while inherently supporting broadband operation. On the other hand, the deployment of massive multiple-input multiple-output (MIMO) technology and highly integrated active-antenna systems …

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 …

Insights Into Iapodian Lifeways: Phytolith And Starch Grain Analysis Of Animal And Human Dental Calculus From Croatia, Angelinne Moreno

Graduate Thesis and Dissertation post-2024

The Piplica hillfort is located near the village of Lovinac within the Lika region of Croatia. The Bronze Age is a pivotal period in Europe that encompasses changes in landscapes, social structures, and famously includes vast production of metals. The Bronze Age in Lika is characterized by changes in social, political, and economic lifeways; denser populations; expanded trade networks; and advancements in agriculture, husbandry, and metal-working. However, little is known about the Iapodes people, who inhabited the Lika region during the Late Bronze Age, and how they interacted with their environment.

The Iapodes were only known from classical Greek written …

Manipulated Workplace Hazing And Attributions, Cole B. Treadaway

Graduate Thesis and Dissertation post-2024

Workplace hazing has scarcely been researched, and when it has, the results have not always aligned. This study seeks to remedy the discrepant findings by examining the importance of hazing severity, as prior operationalizations of hazing severity utilizing the most frequently used and validated measure of workplace hazing do not adequately measure severity, as well as by introducing attribution theory to offer a potential explanation as to why some people respond favorably and others unfavorably to being hazed. This study utilized an experimental 2x2 factorial design with an added control group to examine whether the severity of the hazing and …

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 …

Examining The Impact Of The Menstrual Cycle On Neutrophil Function: Immune Response, Il-8 Sensitivity, And Exercise Perception In Resistance Trained Eumenorrheic Women, Jessica M. Moon

Graduate Thesis and Dissertation post-2024

The purpose of this dissertation series was to examine the effect of the menstrual cycle on neutrophil chemotaxis and adhesion profiles, as well as general immunological, functional, and perceptual measures of recovery following resistance exercise in trained women. Study one explored the impact of the early follicular (EFP), late follicular (LFP), and mid-luteal (MLP) phases on neutrophil recruitment and adhesion receptor expression, markers of muscle damage and inflammation, and functional recovery following resistance exercise. Results indicated that menstrual phase did not have a significant impact on immunological recovery or functional recovery. However, main effects of menstrual phase were revealed in …

Bridging Physiology, Data Science, And Genomics To Illuminate Photosynthetic Variation In Sunflower, Rebekah E. Davis

Graduate Thesis and Dissertation post-2024

Photosynthesis is a critical metabolic process in plants involving ‘light reactions’ that capture solar energy to produce ATP and NADPH, and ‘dark reactions’ where these molecules power the enzyme Rubisco to synthesize sugars in the Calvin-Benson cycle. These processes serve as the primary energy source for plant growth and reproduction, displaying significant variation across species and environments. In Helianthus, distinct differences in photosynthetic traits are observed between annual and perennial species. Notably, carboxylation rates, photon capture, and maximum photosynthetic rates show strong phylogenetic signal (Pagel’s λ = 0.99) and are significantly higher in annuals. Photosynthesis is modeled here as a …

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 …

Enhancing Social Participation: The Role Of Communication Accommodations On Young Children With Ccn, Carli C. Brent

Graduate Thesis and Dissertation post-2024

BACKGROUND: Children with complex communication needs (CCN) have difficulty using and/or understanding speech to communicate, thus facing barriers for successful social participation in family-leisure activities due to limited access to communication supports in these environments. Social participation includes an individual’s active involvement in activities that consist of a social element to produce opportunities for meaningful interactions with others. Children with CCN benefit from communication supports, like Augmentative and Alternative Communication (AAC) devices. AAC supports children with CCN to effectively communicate with themselves, others, and their environment. While communication supports have been recently implemented into private and public spaces, the …

Skeletal Embodiment Of Structural Violence: Testing Application Of The Weathering Hypothesis In Analyses Of Identified Sex, Jasper K. Shaw

Graduate Thesis and Dissertation post-2024

Structural violence refers to the experiences of inequality faced by marginalized sex, gender, race, and socioeconomic groups. Unequal access to healthcare, housing, and education can cause poor health that may affect how a decedent is analyzed by forensic anthropologists. This research hypothesizes that, due to gender- and sex-based marginalization, females will display greater rates of stress and correlated accelerated aging (i.e., weathering), than males. Computed tomography scans from 100 males and 99 females aged 20-69 years old and white and middle class, were sampled from the New Mexico Decedent Image Database (NMDID). Stress was assessed via cranial porosities, antemortem tooth …

The Effects Of Resistance Training Volume On Muscle Quality Among Older Adults, Kevan Knowles

Graduate Thesis and Dissertation post-2024

BACKGROUND: Age-related declines in muscle strength are more closely linked to deteriorations in muscle quality than muscle mass. Echo intensity (EI) measured by B-mode ultrasonography is a common non-invasive marker of intramuscular adiposity and fibrous tissue. Although high-intensity resistance training is effective, the added value of higher training volumes on muscle quality and strength in older adults remains unclear. PURPOSE: This study aimed to compare the effects of different resistance training volumes on various measures of muscle quality, size, and strength among older adults. METHODS: Twenty-five older adults were randomized to either moderate volume (2 sets per exercise) or high …

Change Point Monitoring In High-Dimensional Factor Models, Mahdi Mirhosseini

Graduate Thesis and Dissertation post-2024

This dissertation presents the Factor-Augmented Detection (FAD) algorithm, a robust methodological framework for online change point detection in high-dimensional data streams, grounded in classical factor model analysis. To tackle the challenges of monitoring large-scale datasets, the FAD algorithm decomposes data into a parsimonious set of common factors and sparsely changing idiosyncratic residuals, facilitating independent, targeted analysis of low-dimensional factor dynamics and sparse high- dimensional residual evolution.

Following decomposition, structural changes in the factor components are identified using established multivariate sequential monitoring techniques, specifically the Multivariate Cumulative Sum (mCUSUM) and Multivariate Exponentially Weighted Moving Average (mEWMA) procedures. Simultaneously, sparse alterations in …

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 …