Engineering Commons^™

Improving Cancer Diagnosis And Patient Outcomes With Deep Learning Models, Mariana Arriz-Jorquiera

USF Tampa Graduate Theses and Dissertations

Cancer care depends on timely and reliable decisions, from detection and diagnosis to treatment planning and patient monitoring. These decisions are often made under uncertainty because medical images and healthcare data may be noisy, incomplete, or difficult to interpret. In breast cancer imaging, ultrasound is widely used because it is safe, accessible, and complementary to other imaging modalities. However, variations in image quality, acquisition conditions, and noise can obscure lesion boundaries and texture, affecting human interpretation and artificial intelligence reliability. This dissertation develops deep learning, image-analysis, and optimization methods to improve healthcare decisions under imperfect information. Its primary focus is …

Engineering Fsh-Cer T Cells To Enhance Response To Epithelial Ovarian Cancer, Nolan J. Beatty

USF Tampa Graduate Theses and Dissertations

Ovarian cancer remains a significant cause of cancer-related mortality, with epithelial ovarian cancer (EOC) being the most common subtype. Despite advances in treatment, the 5-year survival rate for late-stage EOC remains low due to factors such as tumor heterogeneity and an immunosuppressive tumor microenvironment (TME). This study investigates the therapeutic potential of chimeric endocrine receptor (CER) T cells engineered to express follicle stimulating hormone (FSH) in a syngeneic mouse model of EOC expressing follicle stimulating hormone receptor (ID8-FSHR). We compared two different co-stimulatory domains—CD28ζ and 4-1BBζ—in FSH-CER T cells and found that FSH-CD28ζ CER T cells exhibited enhanced cytotoxicity, proliferation, …

From Shortage To Strategy: Optimizing Scarce Resource Allocation In Healthcare, Daniela Duran Cantarino

USF Tampa Graduate Theses and Dissertations

The allocation of scarce medical resources presents one of the most consequential challenges in health care, requiring decisions that balance equity and efficiency under pervasive uncertainty. This dissertation develops optimization-based frameworks for two critical domains, organ transplantation and emergency medical services, and demonstrates how operations research methods can improve upon current practice along both dimensions simultaneously.

In the domain of deceased-donor kidney allocation, two complementary frameworks are proposed. The first is a bi-objective stochastic optimization model that jointly maximizes post-transplant survival (efficiency) and prioritizes candidates with the highest pre-transplant mortality risk (equity), subject to regional chance constraints on graft failure …

Subspace Decomposition For Spatial Parameter Estimation, Arthur Grik

USF Tampa Graduate Theses and Dissertations

Passive emitter localization is an important capability for wireless sensing, interference detection, and spectrum awareness. Classical timing-based localization methods estimate emitter position from differences in signal arrival time across distributed sensor platforms, but their performance depends on precise receiver synchronization and favorable signal bandwidth characteristics. This thesis investigates subspace-decomposition-based spatial parameter estimation as an alternative approach in which directional information is extracted from coherent antenna-array measurements. This work develops the theoretical foundation and signal-processing framework for angle-of-arrival estimation. Various spatial parameter estimators are presented as supporting array-processing methods before focusing on a well-known subspace-decomposition-based approach called the Multiple SIgnal Classification …

Multi-Modal Survival Prediction On Breast Cancer Mammograms And Enabling Multi-Institutional Collaborations With Federated Learning, Nikolas Koutsoubis

USF Tampa Graduate Theses and Dissertations

Cancer remains one of the leading causes of mortality worldwide, and machine learning is well positioned to leverage the large volumes of routinely collected clinical and imaging data to improve patient outcomes. Realizing this potential at scale requires three capabilities that current practice does not yet deliver in combination: models that integrate the multiple data modalities clinicians use, training procedures that respect institutional data-sharing constraints, and tooling that enables sharing of de-identified data when federated approaches are not sufficient. This dissertation develops methods and infrastructure addressing each of these capabilities in the context of breast cancer and oncology more broadly. …

Efficient, Secure Learning And Resource Management For Wireless Networks, Jiahao Xue

USF Tampa Graduate Theses and Dissertations

The rapid advancement of wireless networks has enabled a wide range of applications such as federated learning (FL) and Internet of Things, with supporting technologies like radio frequency identification (RFID). However, resource management and security challenges in wireless networks remain insufficiently addressed for these representative applications. In this dissertation, we first investigate wireless resource management for FL, then study novel attack and defense mechanisms for RFID systems. Finally, we analyze the performance and security of artificial intelligence (AI)-enabled next generation wireless networks.

First, we investigate the client assignment and bandwidth allocation problem for FL in a multi-provider wireless setting. Unlike …

Building Trustworthy Information Systems: A Unified Framework For Comparative Risk Detection, Parisa Momeni

USF Tampa Graduate Theses and Dissertations

Risk detection in large scale information systems increasingly depends on heterogeneous data generatedby both centralized and distributed ecosystems. While centralized systems provide curated and validated reports, distributed environments produce large-scale and real-time observational evidence. Existing computational approaches analyze these ecosystems in isolation, limiting systematic comparison of risk repre-sentations across heterogeneous sources.

This dissertation presents a unified computational framework for comparative risk detection across centralized and distributed information systems. The framework provides a domain independent methodology for transforming heterogeneous risk reporting data into comparable multidimensional representations. To enable interpretable comparison of heterogeneous risk distributions, this work introduces the Geometric Overlap Score …

Photoluminescent Studies Of Metal-Organic Frameworks For Small Molecule Sensing, Julia T. Dematteo

USF Tampa Graduate Theses and Dissertations

Metal–organic frameworks (MOFs) are highly tunable nanoporous materials with broad applications in gas separation, drug delivery, light harvesting, and chemical sensing. The incorporation of photoactive components into MOFs enables the development of optical sensors capable of detecting a wide range of analytes. Porphyrins and metalloporphyrins are particularly attractive for such applications due to their high molar absorptivity, strong emission quantum yields, and versatile interactions with chemical species.

In this work, two porphyrinic MOFs, PCN-222 and MOF1(Cd), are investigated. Both frameworks utilize tetrakis(4-carboxyphenyl)porphyrin (TCPP) as the organic linker, imparting optical functionality to the materials. Integration of TCPP into the framework induces …

A Portable Device To Elicit Sensory Trick And Monitor Forearm Muscle Activity In Pianists With Musician’S Dystonia, Josef Franczak

USF Tampa Graduate Theses and Dissertations

Musician’s Dystonia (MD) is a condition that can be acquired in professional musicians,causing involuntary contractions and the loss of fine motor control. The most common pharmaceutical treatment, botulinum toxin injections, has been shown to have side effects of muscle weakness and atrophy. The sensory trick, shown to temporarily relieve symptoms of dystonia, has potential to be used as an alternative or alongside current therapies, allowing patients with MD to return to playing music professionally. To systematically deploy the sensory trick and monitor forearm muscle activity, the first prototype of the Wearable Sensorimotor Integrator (wSMI) has been developed.

The wSMI is …

Development Of A Coupled Hydrological-Nitrogen Modeling Framework For Urban Stormwater Pond Analysis, Tione Grant

USF Tampa Graduate Theses and Dissertations

Urbanization impacts the hydrological and biogeochemical processes that regulate water quality in downstream ecosystems, leading to increased stormwater volume and nitrogen loads in receiving aquatic environments. Although stormwater ponds are designed as simple hydraulic storage basins, they function more like managed ecosystems within urban drainage systems, offering both hydraulic attenuation and passive nutrient treatment. However, nitrogen removal efficiency varies significantly and depends on interactions between hydrological and biogeochemical factors. This thesis details the development, calibration, validation, and sensitivity analysis of a coupled hydrological-nitrogen model framework for Aaran’s Pond, an urban stormwater pond in Hillsborough County, Florida.

A process-based water budget …

Amending Planting Media With Typha-Derived Biochar For Sustainable Horticulture, Elissa Touma

USF Tampa Graduate Theses and Dissertations

Constructed wetlands are widely used to improve water quality by removing excess nutrients from wastewater and stormwater. Nutrients are stored within wetland vegetation, particularly in fast-growing plants such as Typha. Harvesting vegetation provides an opportunity to permanently remove these nutrients while generating biomass suitable for beneficial reuse. Converting harvested biomass into value-added products such as compost and biochar can support nutrient recovery and sustainable biomass management. In addition, increasing concerns regarding the environmental impacts of peat extraction have created interest in renewable alternatives for horticultural growing media. Therefore, the objective of this study was to evaluate the potential of harvested …

Sam-1: An Assistive Robot For Remote Patient Monitoring, Aana Farhana Ahsan

USF Tampa Graduate Theses and Dissertations

The global aging population has increased the demand for caregiving, while the availability of caregivers has not grown at the same pace. These trends have contributed to disparities in consistent and accessible care for older adults and increased caregiver burden. Geriatric care robots have emerged as a promising solution to support older adults and reduce caregiver burden. Existing systems have been developed for a wide range of applications, including rehabilitation, social support, assistance with activities of daily living, therapy, and caregiver telepresence. This thesis presents the development of SAM-1, an assistive robot designed to support remote monitoring of older adults …

The Heterogeneous Response Of Astrocytes In Different Brain Regions Under Metabolic Stress, Pawan Kumar Thapaliya

USF Tampa Graduate Theses and Dissertations

Astrocytes play a central role in maintaining ionic homeostasis, neurotransmitter clearance, and brain en-ergy metabolism. Their excitability, reflected in activity-evoked intracellular sodium (Na+, [Na+]i) and calcium (Ca2+,[Ca+]i) dynamics, is increasingly recognized as a critical determinant of neuronal function and vulnerability, particularly under metabolic stress. Despite their importance, the mechanisms underlying astrocytic ionic signaling and its regional heterogeneity remain incompletely understood. In this thesis, I developed detailed computational and biophysical models to investigate astrocytic Na+ and Ca2+ dynamics, their bioenergetic consequences, and the roles of key ion transporters under physiological and metabolically stressed conditions, validating the models against experi- mental data. …

Novel Electrical Interfaces For Bionic Limbs, Matthew Aaron Melton

USF Tampa Graduate Theses and Dissertations

Advancements in neural interfaces are pivotal for enhancing the functionality and longevity of implantable biomedical applications, particularly in the field of neuroprosthetics. This dissertation is focused on the continuing development of a novel neural interface fabricated from silicon carbide (SiC). SiC has demonstrated superior performance over traditional silicon-based material systems due to its exceptional biocompatibility, hemocompatibility, and electrochemical stability. The research herein explores silicon carbide’s semiconductor properties, with a highlighted focus on a unique and innovative design structure - centered around a p-n junction. This work examines detailed fabrication steps of an all-SiC device, acute-style packaging (for future in vivo …

Chemical Design Strategies For Hybrid Metal Halide Semiconductors With Enhanced Stability And Optoelectronic Properties, Ali Azmy

USF Tampa Graduate Theses and Dissertations

Metal halide semiconductors have rejuvenated the attention of the scientific community for the last two decades owing to their photophysical and electronic properties. However, these materials have some limitations that hinder their commercialization and widespread application. One major limitation of these materials is their instability under ambient and operating conditions of moisture, head, light and radiation exposure. Here, we report multiple chemical design strategies to address the stability issues of these materials while simultaneously maintaining their exceptional optoelectronic properties. Such design strategies allowed the acquisition of the first members of the family of porous metal halide semiconductors which exhibit record …

Temporally Modulated Acoustic Environment Alters Inferior Colliculus Tonotopy And Improves Neural Gap Encoding In Aged Cba/Caj Mice, Luis Franco-Waite

USF Tampa Graduate Theses and Dissertations

Age-related hearing loss (ARHL) is an omnipresent and progressive decline of hearing that occurs later in life and affects a significant majority of the aged population. While the current accommodations for hearing loss focus on improving comfort and quality of life, they do not address the underlying neural aspects of ARHL. A novel approach for treatment is the augmented acoustic environment (AAE) which utilizes the innate plasticity of the nervous system in response to the external environment. The work presented here documents the research performed on passive noise exposures which target neural aspects in animal models of age-related hearing loss. …

Exploiting Chaotic Antenna Arrays For Rf Fingerprint Authentication And Physical Layer Security In Wireless Communications, Joshua K. Thomas Ranstrom

USF Tampa Graduate Theses and Dissertations

Modern wireless networks support a wide range of applications including consumer devices, healthcare monitoring, industrial automation, smart grids, and military platforms, in which transmitted information is often highly sensitive and subject to stringent confidentiality and integrity requirements. As wireless communication operates over an open broadcast medium it exposes systems to physical layer (PHY) threats such as eavesdropping, in which an adversary passively intercepts transmitted information, and spoofing, in which a forged transmission misleads the receiver about device identity. Cryptographic defenses address both threats but require computational assumptions and key management infrastructure that may not scale to dense or resource-constrained deployments. …

Secure Machine Learning In Networking Systems, Wenwei Zhao

USF Tampa Graduate Theses and Dissertations

With the rapid integration of Machine Learning (ML) into networking systems, ensuring the security and trustworthiness of these intelligent frameworks has become a paramount concern. While ML offers unprecedented capabilities in spectrum management and collaborative learning, it also introduces novel vulnerabilities that can be exploited by sophisticated adversaries. This dissertation investigates and addresses critical security challenges across three key dimensions of ML-driven networking: adversarial spectrum sensing, the security of privacy-preserving unlearning processes, and efficient post-attack model recovery.

First, we address the threat of adversarial spectrum attacks in cognitive radio networks, where malicious nodes manipulate sensing reports to disrupt spectrum access. …

How Do Water Utilities Meet Growing Demand And Maintain Resilience Through Water Reuse? A Systems Thinking Approach, Elizabeth F. Vicario

USF Tampa Graduate Theses and Dissertations

Water and wastewater utility management is becoming increasingly complex due to factors like urbanization, climate change, new regulations, and rising costs. Utility leaders must balance competing political and financial pressures while managing aging infrastructure, rising demand, climate resilience planning, and customer concerns about affordability. Reuse of treated wastewater has emerged as a promising solution to address scarcity, declining source water quality, and new regulations on wastewater discharge in the United States. However, water reuse is not one-size-fits-all, and bespoke solutions are needed to optimize economic, environmental, and social returns from this finite resource. Despite growing interest, little is known about …

Transport And Aging Pathways Of Microplastics In Urban Aquatic Systems, Jessica J. Boyer

USF Tampa Graduate Theses and Dissertations

Microplastics are pervasive in urban aquatic systems, which serve as both conduits of particle flow and incubators of microplastics. These aquatic systems transport microplastic particles while simultaneously altering their physical, chemical, and biological properties. Despite their growing environmental relevance, constructed wetlands and riverine systems remain underrepresented in studies of microplastic fate and transport. This dissertation aims to assess the patterns influencing microplastic transport and aging across urban aquatic environments through a combination of field experiments and mechanistic modeling.

Four interconnected studies were conducted to address this objective. The first investigated the horizontal and vertical transport of microplastics within the Se7en …

Understanding And Defending Large-Scale Networked Systems: From Wi-Fi Localization To Provenance- Based Intrusion Detection, Xiao Han

USF Tampa Graduate Theses and Dissertations

Modern networked systems increasingly depend on wireless sensing and large-scale telemetry to provide critical services and maintain security. However, many of these systems function as black boxes or encounter significant scalability limitations, which leave them vulnerable to sophisticated adversaries. In this dissertation, I present my research on enhancing the security and efficiency of networked systems through measurement-driven vulnerability analysis and the design of scalable defense mechanisms.

First, I present my research on the security and privacy risks of Wi-Fi–based localization services. Although location spoofing attacks against Wi-Fi positioning systems have been studied for over a decade, constructing practical attacks in …

Quantification Of Interfacial Defects In Frp-Strengthened Rc Member Using Non-Destructive Testing Methods, Yuliya Tyrak

USF Tampa Graduate Theses and Dissertations

Externally bonded fiber-reinforced polymer (FRP) composites are widely used to strengthen reinforced concrete (RC) structures. However, the long-term performance of these systems depends on the integrity of the FRP–concrete bond. Interfacial defects such as debonding, delamination, cracking, and voids may reduce structural capacity and are often difficult to detect using conventional inspection techniques. This study investigates the effectiveness of nondestructive testing (NDT) methods for detecting interfacial defects in FRP-strengthened RC members. It explores the potential for automated defect identification using thermal imaging and machine learning.

Laboratory specimens with predefined defects were fabricated and tested using visual inspection (VI), tap testing …

The Development And Validation Of A Portable Monitoring System For Real-World Prosthetic And Orthotic Performance Assessment, Emily Wyatt

USF Tampa Graduate Theses and Dissertations

Laboratory-based motion capture systems are widely used for gait analysis but are limited by high cost, infrastructure requirements, and restricted external validity. Inertial measurement units (IMUs) offer a portable and low-cost alternative for assessing gait in both controlled and real-world environments; however, their accuracy and clinical utility require validation. The purpose of this thesis was to develop and evaluate a portable monitoring system using IMUs to quantify spatiotemporal gait parameters and gait asymmetry in both laboratory and community settings, with a focus on prosthetic and orthotic users.

Phase 1 of this study evaluated the agreement between IMU-derived gait metrics and …

Dual-Modal Tumor Imaging Using Functionalized Iron-Oxide Nanoparticles For Mri And Fluorescence, Kevin Secades

USF Tampa Graduate Theses and Dissertations

Accurate tumor imaging is essential for early cancer detection and treatment monitoring [1]. Technetium-99m (Tc-99m) is a commonly used radioisotope for medical imaging, but its reliance on gamma-ray emission poses challenges related to safety, accessibility, and regulatory constraints[2-5]. This research proposes the development of a dual-modal imaging approach by functionalizing iron-oxide nanoparticles (IONPs) with the fluorescent chromophore Cy5, enabling both MRI contrast enhancement and optical imaging for improved tumor specificity. IONPs provide strong T2-weighted MRI contrast [6], while conjugated near-infrared (NIR) chromophores allow for high-resolution fluorescence imaging [7], making this proposed system adaptable for both in vitro and in vivo …

Analysis Of The Yeast Surface Display Platform As A Tool For Tyrosine Kinase Phosphorylation Assays, Alexandra Maritza Tang

USF Tampa Graduate Theses and Dissertations

Developing and optimizing platforms to study complex protein-protein interactions is important to maintain fidelity of the modeled activity. Yeast surface display has been used as a high-throughput platform to model substrate phosphorylation by tyrosine kinases, a key enzymatic process that is essential for most cell signaling pathways. However, existing characteristics of the yeast surface display platform limit the ease-of-use, reproducibility, and feasibility of screening enzymatic modification processes like tyrosine phosphorylation. The cytoplasmic domain of T cell costimulatory receptor CD28 and lymphocyte kinase (LCK) were used as a model enzyme-substrate pair to showcase molecular cloning issues that can hinder reproducibility and …

Lightweight And Resilient Cryptographic Protocols For Next-Generation Networking Systems, Saif Eddine Nouma

USF Tampa Graduate Theses and Dissertations

The security of our increasingly interconnected world is strongly dependent on the strength and practicality of the cryptographic tools we deploy. As billions of embedded devices join the Internet of Things (IoT) and interact with remote cloud infrastructures for data processing, analysis, and actuation, they evolve into so-called digital twins. This rapid expansion introduces numerous attack vectors, particularly targeting constrained IoT devices, which greatly increase the attack surface and often become the root cause of large-scale infrastructure compromises. At the same time, the rise of quantum computing threatens the hardness of today’s intractability assumptions that underpin cryptographic primitives currently deployed. …

Thermal Properties Of Novel Materials, Wilarachchige D.C. Bhagya Gunatilleke

USF Tampa Graduate Theses and Dissertations

Thermal properties play an important role in various aspects of applications of technology startingfrom the materials property determinations to device performance improvements and their safety and stability. Measurements of the thermal properties of such materials of interest pose challenges due to the demands of these measurements for determination of intrinsic materials properties. The research included in this dissertation involved both synthesis of novel materials and their measurement of thermal properties. Solid-state materials synthesis involves various synthesis and processing techniques, while specific technological applications demand synthesis of defect-free single crystals. Such synthesis techniques were explored for the research included in this …

Enhancing Nitrogen Removal In High Permeability Bioretention Media: The Combined Role Of Biochar, Wood Chips And Hydraulic Design, Joshelyn Guimaray

USF Tampa Graduate Theses and Dissertations

Urban stormwater runoff can transport high nutrient loads to receiving waters, leading toeutrophication, harmful algal blooms, and the formation of hypoxic zones. Bioretention systems are a form of green infrastructure designed to mitigate these impacts, but their application in dense, ultra-urban environments is often limited by large land area requirements. This has led to the adoption of high permeability media (HPM) to accommodate higher hydraulic loading rates (HLRs) and reduce the system footprint. However, conventional HPM systems often show inconsistent removal of dissolved nitrogen species due to short hydraulic retention times (HRTs), a lack of organic carbon, and insufficient anoxic …

Advancing Power System Reliability And Security With Efficient And Resilient Graph Neural Network Frameworks, Seyed Hamed Haghshenas

USF Tampa Graduate Theses and Dissertations

Enhancing the reliability and security of smart grids is critical for ensuring their seamless operation and resilience against disruptions. The increasing integration of distributed energy resources, advanced measurement devices, and cyber-physical elements introduces both opportunities and challenges for grid management. While these advancements provide enhanced visibility and operational control, they also expose the grid to vulnerabilities from cyber-physical stresses, such as cyber-attacks, equipment failures, and fluctuating power demands. Traditional methods for reliability assessment and threat detection often rely on model-based approaches that struggle to adapt to the complexity and dynamic nature of modern smart grids. These limitations necessitate novel data-driven …

Mosquito Classification And Explainability From Image Data Via Deep Learning Techniques, Farhat Binte Azam

USF Tampa Graduate Theses and Dissertations

According to the World Health Organization (WHO), mosquitoes are the deadliest animals on Earth, responsible for more human deaths annually than any other species. Mosquito-borne illnesses continue to pose severe risks to global health. In 2015 alone, there were an estimated 214 million malaria cases worldwide. Similarly, a 2016 report from the Centers for Disease Control and Prevention (CDC) revealed that Puerto Rico’s Department of Health received over 62,500 suspected cases of Zika, with 29,345 confirmed positive cases. In 2019, Southeast Asia experienced its worst dengue outbreak in recorded history. Of the approximately 4,500 mosquito species distributed across 34 genera, …