Digital Commons Network^™

Beyond The Hype: The Fundamental Challenges Of Machine Learning-Based Android Malware Detection In Cybersecurity, Guojun Liu

USF Tampa Graduate Theses and Dissertations

Machine learning (ML) algorithms have achieved remarkable success across various domains, including cybersecurity. Inspired by these advancements, the academic security community has explored numerous ML-based approaches for Android malware detection. While ML holds significant promise in this domain, its practical deployment faces substantial challenges, including data collection, feature selection, app representation across different models, performance instability across datasets, and inherent limitations of learning-based malware detection. These challenges can lead to overly optimistic detection results and weaken the reliability of malware detection frameworks.

Android malware detection has been extensively studied using both traditional ML and deep learning (DL) approaches. Although many …

An Fgfr-P53 Developmental Signaling Axis Drives Salivary Cancer Progression, Julia M. R. Billington

USF Tampa Graduate Theses and Dissertations

Mucoepidermoid carcinoma (MEC) is the most frequently occurring salivary gland malignancy.Here, we investigated transcriptomic profiles of human fetal and adult salivary glands and MEC tumors to assess programs involved in MEC progression. Molecular and genetic analyses revealed that MEC tumors and fetal salivary glands share proliferative and developmental gene expression profiles that implicate an FGFR-p53 signaling axis in salivary MEC progression. Based on these findings, we developed a genetically engineered mouse model of advanced MEC via targeted expression of the CRTC1-MAML2 oncogene in salivary ductal cells. Specifically, CRTC1- MAML2 expression combined with p53 dysregulation in salivary ducts rewires FGF signaling …

Corrosion Mitigation And Monitoring Of Bridge Tendons And Failure Forecasting Of Wastewater Force Mains, Stanley Chike Agbakansi

USF Tampa Graduate Theses and Dissertations

Corrosion remains a significant threat to civil infrastructure, resulting in costly repairsand potential structural failures. This dissertation addresses three critical aspects of corrosion: mitigation and monitoring of post-tensioned bridge tendons, and failure forecasting of wastewater force mains due to internal corrosion.

First, the research investigates the effectiveness of corrosion inhibitors (CIs) applied via pressure injection (impregnation) in post-tensioned tendons. The protective mechanisms and long-term performance of various inhibitors were evaluated to identify the most effective formulations. Among the tested inhibitors, MCI-2020 — a water-based, migratory, mixed-type corrosion inhibitor — demonstrated the most promising results, showing excellent corrosion protection while preserving …

The Synthesis Of A Photo-Affinity Probe Library For The Fatty Acid Amide Proteome And The Endocannabinoid System Within, Robert E. Feeney Iii

USF Tampa Graduate Theses and Dissertations

Fatty acid amides are a large family of endogenous metabolites with significant biological activity, including that of the endocannabinoid system. Currently little is known about how this system of tightly regulated compounds works within humans. This work lays the foundation to explore the structure-activity relationship driving the selectivity of ligand-protein interactions involved with fatty acid amides. A library of activity-based proteomic profiling probes for fatty acid amides has been synthesized to this end. Additionally, progress towards phytocannabinoid probes has been made as well.

An Exploratory Analysis Of Automated Deception Detection For Mental Health Applications, Sayde Leya King

USF Tampa Graduate Theses and Dissertations

Deception in mental health settings can undermine therapeutic relationships, compromise treatment efficacy, and impact patient outcomes. Yet, research shows that mental health clinicians often perform no better than chance at detecting deceptive behavior in therapy. Automated deception detection, leveraging artificial intelligence (AI) and multimodal behavioral cues—such as eye gaze, body gestures, and facial expressions—offers a promising alternative. However, most existing research focuses on high-stakes legal contexts, limiting its applicability to mental health settings.

This dissertation addresses this gap by pursuing three key research objectives using a mixed-methods approach. First, we investigate mental health clinicians’ perspectives on AI-assisted deception detection through …

Efficient Methods And Algorithms For Analyzing Stochastic Systems, Mohammad Ahmadi

USF Tampa Graduate Theses and Dissertations

This dissertation addresses the challenges of stochastic analysis of safety-critical systems with biological components, where unexpected behavior can lead to catastrophic events. Two fundamental challenges hinder the analysis of such systems: their typically large or infinite state spaces, and the extreme rarity of error states of interest. While Monte Carlo simulation can analyze biochemical systems without storing the state space, accurately estimating rare event probabilities becomes computationally prohibitive. Conversely, probabilistic model checking excels at analyzing extremely low probability events but becomes impractical for systems with large or infinite state spaces due to memory constraints.This work proposes two main contributions to …

Learning Analytics: An Innovative Technological Tool To Help Increase Student Retention And Graduation Rates In Us Higher Education Institutions, Fednold Thelisdort

USF Tampa Graduate Theses and Dissertations

Higher education institutions (HEIs) have embarked on a journey of innovation by adopting learning analytics (LA) in their operation, offering a more sustainable and innovative technological tool to increase student retention and graduation rates in US HEIs. LA, an emerging academic and technological tool, equips HEIs to gather, analyze, and interpret their students’ data. Since the publication of the first (conceptual) framework by Burke (2019), LA has matured into a research focus and practice, implemented in several institutional contexts at different scales and disciplinary/pedagogical contexts. This study explored the impact of the use of LA on student retention and graduation …

Healthy Bodies, Moral Minds, And Rural Ideals: Contextualizing Interwar British Childhood And Citizenship Through Children's Country Holidays Fund Vacations, Paula J. Pack

USF Tampa Graduate Theses and Dissertations

This dissertation uses the Children’s Country Holidays Fund (CCHF) as a critical lens to examine how philanthropy, childhood, class, public health, and rural nostalgia intersected within the broader context of citizen formation in interwar Britain. Founded in 1884 to provide country holidays for poor London schoolchildren, the CCHF evolved from a philanthropic response to Victorian slum life into an informal arm of welfare governance by the end of the interwar period. Through its country holidays, the Fund became an active participant in shaping ideals of health, morality, and civic responsibility in a period marked by heightened concern over national vitality …

Physical Activity And Functional Mobility In Adults With Hearing Loss: A Series Of Embedded Studies Within A 6-Month Clinical Trial With Hearing Aids, Sarah L. Bochat

USF Tampa Graduate Theses and Dissertations

Adults with hearing loss engage in low levels of physical activity and demonstrate poor performance on measures of functional mobility. The impact of hearing rehabilitation on these outcomes is not fully understood. Previous investigations were largely quantitative and focused on older adults ≥ 65 years of age who may respond differently to hearing intervention than relatively younger adults. They also tended to focus on exercise rather than global engagement in physical activities and did not report hours of hearing aid use, an important indicator of intervention success. One purpose of this dissertation was to determine the feasibility of collecting accelerometry-assessed …

Room-Temperature Multiferroic Epsilon Iron Oxide Semiconductors: Thin-Film Growth And Characterization, Derick Detellem

USF Tampa Graduate Theses and Dissertations

There is an ever-growing need for larger computing power, nonvolatile memory and energy efficient devices as the number of applications that draw upon the current base of computer resources increases. At the forefront of research aiming to meet this need is the field of multiferroics. If it is possible to leverage the fast and energy efficient application of an electric field with the data storage capabilities of magnetic materials, then it would be possible to not only increase the robustness and energy efficiency of current memory, but possibly present new types of device components for computation application as well. Currently, …

Affirmation And Aspiration: Black Women Enrolled In Doctoral Programs At A Pwi Striving For The Tenure-Track, Anayah Alicia Walker

USF Tampa Graduate Theses and Dissertations

Black women remain vastly underrepresented in tenure-track positions at research universities in the United States, facing systemic barriers that hinder their academic progression. This study examines the experiences and strategies that contribute to Black women’s preparation for tenure-track positions while enrolled in doctoral programs at a predominantly white institution. Grounded in Black feminist thought coupled with an appreciative inquiry lens, this study utilized the sista circle methodology to capture the narratives of seven Black women from various academic disciplines. Findings revealed three experiences that contribute to Black women’s preparation for tenure track positions: intrinsic motivation, funding and institutional resources, and …

The Role Of Langmuir Circulation In Coastal Flows Driven By Wind, Waves And Tides, Thathsarani Dilini Herath Herath Mudiyanselage

USF Tampa Graduate Theses and Dissertations

Langmuir Circulation (LC) is a wind and wave-driven process and is a key driver of vertical mixing and transport in the ocean. In coastal shelf regions, LC can span the entire water column, linking surface and bottom boundary layers and amplifying turbulent mixing. However, the influence of LC on vertical mixing and cross-shelf transport in shallow, tidally forced coastal waters remains poorly understood. This dissertation addresses this knowledge gap by developing a novel modeling framework based on the Reynolds-Averaged Navier–Stokes (RANS) equations, offering a computationally efficient alternative to more resource-intensive Large Eddy Simulations (LES).

The proposed RANS-based approach is first …

Algorithms Of Eversion: Contemporary States And Digital Sovereigns, James Libengood

USF Tampa Graduate Theses and Dissertations

The rapid development of artificial intelligence (AI), the internet of things (IoT), and digitization have pushed digital sovereignty to the top of the governance agenda in the 21st century. This notion is expanded upon in this work through seven chapters encompassing theoretical underpinnings, methodological frameworks, and real-world case studies. It shows how multinational corporations dominate digital coloniality, and how the merge of physical and digital reality or eversion poses challenges. The study compares contrasting governance approaches, such as the European Union’s General Data Protection Regulation (GDPR), geared to ethical AI and data protection, versus BRICS nations’ stance on data localization …

Hierarchical Reinforcement Learning (Hrl) In Multi-Goal Spatial Navigation With Autonomous Mobile Robots, Brendon Johnson

USF Tampa Graduate Theses and Dissertations

Hierarchical reinforcement learning (HRL) is hypothesized to be able to take advantage of the inherent hierarchy in robot learning tasks with sparse reward schemes, in contrast to more traditional reinforcement learning algorithms. In this research, hierarchical reinforcement learning is evaluated and contrasted with standard reinforcement learning in complex navigation tasks. We evaluate unique characteristics of HRL, including their ability to create sub-goals and the termination function. We constructed experiments to test the differences between PPO and HRL, different ways of creating sub-goals, manual vs automatic sub-goal creation, and the effects of the frequency of termination on performance. These experiments highlight …

Effect Of Cage Eccentricity On Moment Capacity Of Drilled Shafts, Jason Schaefer Steinbach

USF Tampa Graduate Theses and Dissertations

During the construction of drilled shafts, reinforcement cages can be inadvertently placed eccentrically. Current codes, such as ACI 318 and AASHTO LRFD Bridge Specifications, assume there is little impact from such movements within the drilled shaft or that cage centering provisions are sufficiently robust. This thesis will explore the impact that reinforcement cage eccentricity has on the bending capacity of drilled shafts and propose new strength reduction and resistance factors for tension-controlled failure in drilled shafts.

A total of 208 drilled shafts across eleven counties within the state of Florida were tested using thermal integrity profiling to identify the worst …

Sea Turtle Nesting On Nourished Beaches With Different Construction Designs: A Case Study In Southeast Florida, Usa., Lara Novalvos Hernandez

USF Tampa Graduate Theses and Dissertations

This study examines the influences of different beach nourishment designs and subsequent post-nourishment profile adjustments on loggerhead (Caretta caretta) and green (Chelonia mydas) sea turtles nest survival and reproductive success. Data on time-series post-nourishment beach-profile changes, positions and elevations of turtle tracks and nest/false-crawl apices, and sea turtle nest hatch/emergence success were collected on five high density nesting beaches along the east coast of Florida: Melbourne Beach, Jensen Beach, Jupiter Island Beach, Juno Beach, and South Hutchinson Island Beach. The field data collection was conducted in 2018, 2019, 2021, and 2022 with the main goal of documenting and comparing turtle …

Bridging Virtual Robots And Physical Tasks Via Augmented Reality, Xiangfei Kong

USF Tampa Graduate Theses and Dissertations

Entry to human-robot interaction research, e.g., conducting empirical experiments, faces a significant economic barrier due to the high cost of physical robots, ranging from thousands to tens of thousands. This cost issue also severely limits the field’s ability to replicate user studies and reproduce the results to verify their reliability, thus offering more confidence to incorporate these findings. Although virtual reality (VR) user studies present a potential solution, it is unclear whether we can confidently transfer the findings to physical robots and physical environments because VR isolates both the physical robot and the physical world where robots operate. To address …

Embedding-Based Deep Learning Frameworks For Multimodal Oncology Data Integration, Aakash Gireesh Tripathi

USF Tampa Graduate Theses and Dissertations

This dissertation presents a cohesive set of novel frameworks developed to address critical challenges in oncology data integration, representation learning, and clinical information extraction. The work encompasses four interconnected projects: MINDS (Multimodal Integration of Oncology Data System), HoneyBee (Harmonized ONcologY Biomedical Embedding Encoder), LLM Extraction (Large Language Model-based Extraction from Pathology Reports), and EAGLE (Embedding Analysis for Generalized Learning in Oncology). Together, these systems enable the unification of diverse cancer data modalities—from genomics and clinical records to histopathology images and radiological scans—creating a robust foundation for advanced machine learning applications in precision oncology. By addressing key barriers in data accessibility, …

"You Should Not Judge, You Should Understand": The Effects And Perceptions Of An Empathy Embedded Teacher Inquiry Framework, Erica J. Milor

USF Tampa Graduate Theses and Dissertations

A slew of challenges make up the landscape of special education today-from teacher shortages to lack of resources and vast inequities. Teachers must be able to effectively address the diverse needs of students in the midst of the aforementioned challenges at a micro, meso, and macro level. Teacher Inquiry, an iterative problem-solving cycle, is an effective framework for teachers to do so. The purpose of this study was to develop a systematic empathy-embedded problem-solving cycle for special education teachers in order to increase student progress and effective problem-solving in the educational setting, while exploring how teachers say they perceive this …

Quantifying Wellbore Effects During Co2 Sequestration In A Saline Aquifer, Uzoma Johnpaul Ajugwe

USF Tampa Graduate Theses and Dissertations

Carbon capture and storage (CCS) is a strategy for mitigating climate change by reducing greenhouse gas emissions from large stationary sources like fossil-fuel-fired power stations. One method of CCS involves carbon dioxide (CO2) sequestration in deep saline aquifers, where supercritical CO2 is injected into an aquifer. The success of such projects depends on accurate predictions of CO2 behavior within the subsurface, which are obtained through numerical simulations.

TOUGHREACT, a renowned simulation tool, models subsurface fluid flow, geochemical interactions, and solute transport, providing insights into the feasibility of CO2 sequestration projects. A critical aspect of these simulations is the apportioning of …

"You Need To Make The Decision You Can Live With": An Observational Study Of Anti-Abortion Centers In Tampa Bay, Anna Broich

USF Tampa Graduate Theses and Dissertations

Anti-Abortion Centers (AACs) pose a grave threat to the reproductive health outcomes of Americans. Disguising themselves as licensed health clinics, AACs target vulnerable communities to prevent or delay abortion care through the spread of medical misinformation, contributing to abortion stigmatization. Situated in a state with a near-total abortion ban, this secret-shopper study aimed to understand the ways in which AACs in Tampa, Florida communicate anti-abortion rhetoric to pregnant people seeking abortions. Under the guise of people who suspect they are pregnant searching for abortion care, the main researcher and her assistants conducted the first phase of the study through 25 …

New Attack Surfaces Against Emerging Cloud And Web Based Infrastructures And Defenses, Junjie Xiong

USF Tampa Graduate Theses and Dissertations

Emerging network security threats, ranging from cloud-based infrastructure attacks to web-based content subversion, pose significant challenges to modern computing environments. In this dissertation, we explore two novel attack vectors that disrupt both cloud-based infrastructures and web-based content systems.

In this dissertation, we first introduce the Warmonger attack, a novel attack vector that can cause denial-of-service between a serverless computing platform and an external content server. The Warmonger attack exploits the fact that a serverless computing platform shares the same set of egress IPs among all serverless functions, which belong to different users, to access an external content server. As a …

Surface Acoustic Wave Energy Driven Degradation Of Aqueous-Based Methylene Blue, Xieqi Gu

USF Tampa Graduate Theses and Dissertations

This study investigates the degradation behavior of methylene blue (MB) under surface acoustic wave (SAW) excitation, focusing on the effects of power, frequency, hydrogen peroxide (H2O2) concentration, and the use of perovskite oxide catalysts (LFO and LSF). Initial experiments showed that MB concentrations remained stable under SAW at ~10 MHz and ~30 MHz with power levels of 1–3 W in the absence of H2O2, though solution temperatures increased. Upon introducing 1 M H2O2, MB degradation followed a second-order rate constant, with degradation rates increasing with power and significantly higher at ~30 MHz, suggesting that both frequency and power enhance free …

Wireless In-Situ Slurry Testing Device, Andrew Ward

USF Tampa Graduate Theses and Dissertations

Deep foundations are a critical piece of infrastructure used in bridge and high-rise constructions. A type of deep foundation called a drilled shaft is commonly used for these types of large structures due to their ability to resist large axial and lateral loads. Excavations in many soils require hole stabilization methods often involving drilling fluids like polymer or bentonite slurries. When used properly, these slurries prevent groundwater intrusion and side wall sloughing into the excavation. Slurry specifications are set by local or state jurisdictions, research findings, or product manufacturers. Over the years, the Florida standard specifications on slurry integrity testing …

Investigating Momentary Body Image Disturbance, Affect, And Disordered Eating Among College Students, Allison T. Cunning

USF Tampa Graduate Theses and Dissertations

Despite evidence that eating disorders are associated with elevated mortality rates, increased risk of suicide, and societal and financial burden, treatment outcomes for individuals with eating disorders remain poor. Body image disturbance has emerged as a robust risk factor for the development and maintenance of disordered eating (e.g., overeating, binge eating, purging, restriction) and theoretical and clinical perspectives most commonly operationalize body image disturbance as a trait construct. However, empirical evidence suggests body dissatisfaction may fluctuate, and these fluctuations may play an important role in the relationship between risk factors and disordered eating. The current study employed ecological momentary assessment …

Pathways To Efficient And Equitable Solutions For Large-Scale Routing Problems, Abhay Sobhanan

USF Tampa Graduate Theses and Dissertations

This dissertation addresses large-scale optimization problems in transportation emerging from hierarchical decision-making, equitable workload allocation, and innovative routing logistics. It presents three sets of contributions, each detailed in a separate chapter, and offers computational tools and insights to advance both the theory and practice of transportation systems.

The first work introduces a deep learning-enhanced genetic algorithm framework for solving the Hierarchical Vehicle Routing Problems (HVRPs). Traditional optimization approaches to such problems require extensive evaluation of multiple lower-level routing solutions and are computationally intensive. Our innovative method integrates a genetic algorithm with a pretrained graph neural network, which is trained on …

Simulation Of Multi-Receiver Solar Power Tower By Enhancement Of Solarpilot Software And A Review Of Absorber Coating Materials For The Receivers, Yasser Mirza Baig

USF Tampa Graduate Theses and Dissertations

Central receiver concentrating solar power (CSP) towers offer significant potential for cost-effective renewable electricity but face increasing optical losses with larger heliostat fields. This thesis introduces enhancements to NREL’s SolarPILOT software through a Python-based API named CoPylot, which enables comprehensive optimization of heliostat field layouts for multi-receiver systems. The enhanced methodology incorporates per-heliostat ray tracing, receiver orientation optimization (tilt angle β), and an incidence-angle-dependent absorptance (α(θ)) model to evaluate optical performance, thermal losses, and techno-economic metrics within an integrated simulation framework.

A case study for Daggett, California demonstrates that transitioning from a baseline single-receiver system (180 m tower, 5×5 m …

Development And Photophysical Characterization Of Bioinspired Materials, Qaisar Maqbool

USF Tampa Graduate Theses and Dissertations

Porphyrins are versatile aromatic macrocycles with unique photophysical properties that make them attractive for applications in light harvesting, photocatalysis, and sustainable energy conversion. Incorporating porphyrins into metal-organic frameworks (MOFs) offers a unique opportunity to modulate their photophysical behavior through spatial confinement and host–guest interactions. This thesis explores how structural modifications influence porphyrin excited-state behavior through a multi-stage investigation. The work begins by comparing the photophysical properties of two cationic porphyrins: tetra(N-methylpyridyl) porphyrin(TMPyP) and tetra(4-N,N,N-trimethylanilinium) porphyrin(4TANP). While TMPyP exhibits significant singlet–charge transfer (S₁–CT) state mixing due to charge delocalization onto peripheral pyridinium groups, 4TANP lacks comparable behavior. The localized nature of …

Unveiling Success: A Qualitative Exploration Of Job Offer Attainment Among International Female Master's Graduates In Technology, Anna Bahvala

USF Tampa Graduate Theses and Dissertations

This qualitative study explores the job search experiences of international female graduates from a Master of Science in Business Analytics and Information Systems (MS BAIS) program in the United States. I focus on the job search and preparation strategies that differentiate graduates, earning $100,000 and above from their peers. Using an Appreciative Inquiry framework and attribution theory as a foundation, the research examines the intersection of gender, mindset, risk-taking, negotiation skills, and self-efficacy in job attainment outcomes. Nine participants were interviewed, with data analyzed using Saldaña’s coding techniques to identify common themes and behaviors. Findings indicate that high earners demonstrated …

Archaeological, Pxrf, And Gis Analyses At The Trestle Bridge Site (8ja186), Northwest Florida, Victoria Marie Freitas

USF Tampa Graduate Theses and Dissertations

The Trestle Bridge Site (8JA186), located on an eroding riverbank of the upper Apalachicola River in northwest Florida, represents a significant multi-component precontact site with occupations that date from the Early Woodland (~800 B.C.–A.D. 300) and the Fort Walton periods (A.D. 1000-1500). Previous research has broadly classified the site based on ceramic and lithic assemblages, but a detailed investigation into pottery production and environmental changes over time at the site remains unexplored in the understudied Apalachicola valley region. There also appears to be over a thousand-year gap in occupation at the site, as no Middle or Late Woodland ceramic or …