Software Engineering In The Age Of Coding Agents: Failure Modes And Rejection Patterns, Mahd Mohd Hindi

Theses

This thesis investigates the real-world behavior of LLM-driven coding agents that generate code changes and submit pull requests (PRs) to public software repositories. As these tools evolve from autocomplete-style assistants into more autonomous agents, their contributions increasingly interact with socio-technical review processes (human reviewers, bots, CI/CD gates, and project norms). The thesis focuses on understanding why agent-generated PRs are accepted or rejected and what these outcomes reveal about current agent limitations in practical development workflows.

The main objective of this thesis is to systematically characterize rejection patterns and failure modes of agent-generated pull requests in real repositories. Specifically, the thesis …

Ultrarenderer: Real-Time Heterogeneous Cpu-Gpu Memory Management And Adaptive View-Dependent Rendering For Massive 3d Environments, Huadong Zhang

Theses

Rendering large-scale 3D datasets in real-time presents significant challenges due to the widening gap between the ever-growing scale of dataset complexity and the limited memory capacity of modern GPUs. As datasets increasingly exceed available GPU memory, traditional methods encounter severe bottlenecks, such as restricted CPU-GPU bandwidth and inefficient memory usage, which significantly hinder rendering performance. This is especially problematic in interactive applications where high frame rates and low latency are critical. To address these limitations, this dissertation presents UltraRenderer, a novel out-of-core rendering method designed to maximize visual fidelity under strict memory and bandwidth constraints. The core of our approach …

Engineering Human Microphysiological Models To Investigate Bacterial Extracellular Vesicle–Driven Endothelial And Blood–Brain Barrier Dysfunction, Louis P. Widom

Theses

Pathogenic bacterial extracellular vesicles (BEVs) are nanoscale particles derived from bacteria that contain pro-inflammatory cargo. During bacterial infections, BEVs provoke the host inflammatory response and may cause widespread damage. Furthermore, antibiotic treatment can boost BEV production and thereby increase the number of toxic signals traveling through the circulatory system. This is especially dangerous in brain blood vessels since evidence suggests that BEVs may destabilize the protective blood–brain barrier (BBB), resulting in neuroinflammation associated with cognitive decline and development of neurological disorders. Our understanding of BEV interactions with the host remains limited, necessitating the development of in vitro models to better …

Model Free Sliding Mode Control For Uavs, Aashrita Mandalapu

Theses

Sliding Mode Control (SMC) is a robust and adaptable control strategy recognized for its ability to withstand uncertainties, disturbances, and parameter variations. Although the straightforward implementation of SMC along with its insensitivity to modeling inaccuracies make it effective for a wide range of applications, it still relies heavily on an accurate system model. In dynamic environments where system characteristics vary over time, a model-independent SMC framework becomes necessary. So, a Model-Free Sliding Mode Control (MFSMC) approach is proposed as a compelling solution for complex nonlinear systems where deriving an accurate model is difficult. In contrast to conventional SMC approach, MFSMC …

Optimizing Traffic Signal Timings Using Real Time Data Analytics, Hamad Abdulla Binsultan

Theses

City traffic jams have become a major challenge for contemporary cities, causing delays, increased fuel consumption, and other environmental impacts. Conventional traffic signal controlling systems usually depend on fixed or preset signal plans that are incompetent to adjust themselves with changing traffic conditions. Traffic signal timings are optimized across the intersection health of the system by processing real-time data analytics. Through real-time data analytics, traffic flow efficiency is improved while waiting time at signalized intersections is reduced. Using traffic real-time data like vehicle counts, vehicle types, time of day and day of the week to see howtraffic behaves under different …

The Heart Seat™: An In Home Cardiovascular Monitoring Device, Archana Venkataramani

Theses

Heart failure (HF) is one of the most common disorders, affecting an estimated 64 million people globally. Although heart failure incidence is stabilizing in some countries, prevalence is rising because of an aging population, improved post-myocardial infarction survival, and advances in treatment. High mortality, morbidity, reduced quality of life, and significant healthcare costs are results of heart failure (Shahim et al., 2023). Recurrent heart failure episodes are associated with an increased risk of death. Heart monitoring systems exist in several forms, including implantable cardiac devices, wearable and portable monitors, and remote patient monitoring systems. Each type differs in monitoring needs, …

Prediction Of Methane Gas By Using Hyperspectral Imageries And Remote Sensing Techniques, Aysha Ali Alhajeri

Theses

Greenhouse gases is important for sustaining life on earth as well as in mitigating climate change. Methane (CH4) is considered as one of the most important critical gases for the global climate change and have significant influences on our life. Accordingly, the prediction of this greenhouse gas emissions is very important for avoiding the climate change effects and to maintain environmental sustainability. The objective of this study is to explore the potential applications for remote sensing to predict methane levels in the Earth’s atmosphere with a combination of local ground data and data from hyperspectral satellite imagery. By using hyperspectral …

Inflection Points In Academic Career Trajectories: Statistical Modeling And Interactive Visualization, Aicha Malouche

Theses

This thesis examines the temporal structure of academic career trajectories, with a particular focus on identifying non-linear patterns of research productivity and moments of maximum acceleration in scientific impact. Situated within the broader context of bibliometric evaluation, the study responds to long-standing limitations of aggregate and linear career models that obscure heterogeneity across disciplines and national research systems. Drawing on theories of cumulative advantage, life-cycle productivity, and structural stratification, the research seeks to clarify how and when elite researchers experience peak growth in impact over the course of their careers. The study is guided by four research questions: (1) when …

Multipath Exploitation For Radar Sensing In An Urban Environment Using The Music Algorithm For Jammer Mitigation, Daniel De Zutter

Theses

With the increased push for spectrum sharing techniques, the technological world surrounding radar has been constantly pushing to find new methodologies. From being able to integrate with a communication system to mitigating the effects of other users on a system, the research community is pushing forward. We look to tackle the problem of mitigating a jammer using a multipath MUltiple SIgnal Classification (MUSIC) based approach. We take multiple steps to implement this and generate a framework for future work. We first take a look at understanding the current state of the art research surrounding DFRC, multipath exploitation, MUSIC algorithms, RIS …

Knowledge And Perception Of Human Milk Donation Among Pregnant, Lactating, And Postpartum Women In Rochester, Ny, And Near Hmbana Milk Banks, Samantha Allen

Theses

Human milk banks provide pasteurized donor milk for premature infants whose mothers are unable to produce sufficient amounts of milk, offering critical nutritional and immunological benefits for this high-risk population.1–4 Although 28 HMBANA-accredited milk banks operate in the United States, none are located within 4.5 hours of Rochester, NY. This study examined the knowledge and perceptions of human milk bank donation among pregnant, lactating, and postpartum women in Rochester, NY, and in communities near HMBANA-affiliated milk banks, and assessed if there is a correlation regarding the proximity of milk banks.  A cross-sectional study design was used, and participants completed a …

Inflex : A Scalable Framework For Malware Analysis, Correlation, And Steganography Detection, Luke Bower

Theses

Modern malware campaigns operate in stages across diverse formats, including PE, ELF, shellcode, and malicious documents, some leveraging steganography to deliver payloads such as Quasar RAT and Lokibot. Because analysis tooling remains siloed by artifact type, analysts struggle to identify shared code reuse, behavioral overlap, and campaign relationships when adversaries avoid traditional indicators. This thesis presents INFLEX, a framework that normalizes diverse artifacts through a unified pipeline combining static analysis, emulated behavioral extraction, sandbox execution, and threat intelligence enrichment. Its correlation layer introduces Variant Resilient Function Hashing (VRFH), validated against fuzzy hashing baselines on targeted samples, and Weighted Artifact Fusion …

Deep Joint Source-Channel Coding For Semantic-Aware Adaptive Wireless Image Transmission, Sudipto Das Suvro

Theses

The growing use of AI-enabled applications has increased the demand for adaptive, efficient, and low-latency image transmission of large data volumes. This has created challenges for conventional separate source-channel coding that focuses on reliable bit sequence transmission without considering the contents or communication objectives. Deep joint source-channel coding (DeepJSCC) potentially solves this by combining source compression and error correction into a unified process. This thesis focuses on developing adaptive and computationally lightweight DeepJSCC-based transceivers for image transmission across heterogeneous channels. The framework further investigates DeepJSCC’s performance in OFDM with robust channel estimation and importance-based subcarrier allocation strategies. Comprehensive evaluation using …

Leveraging Ai, Iot, And Predictive Analytics For Crisis Management And Urban Resilience In Dubai, Suhail Bin Kalli

Theses

The thesis will discuss how smart technologies could be incorporated in the crisis management structures of Dubai to make the city more resilient. As Dubai grows more urbanized, it experiences increased problems with managing its crisis especially in the high population density places, traffic congestion, utility disruption, and extreme weather. This paper discusses how artificial intelligence (AI), the Internet of Things (IoT), and predictive analytics can be used to ameliorate the response to emergencies, manage the allocation of resources, and enhance the coordination between different agencies. The crisis management systems at Dubai are still ineffective despite the level of technologies …

Evaluating The Effectiveness Of Scenario-Based Virtual Escape Rooms To Improve Student Confidence In Dosage Calculations, Jennifer A. Cuevas

Theses

Abstract

Background: Accurate dosage calculations (DCs) are critical for patient safety, as medication errors contribute to approximately 7,000-9,000 preventable deaths annually. Nearly 30% of nursing students exhibit weakness in foundational mathematical skills, and a significant confidence gap exists: 70% feel confident in mathematical abilities, yet only 45% feel confident in clinical application, necessitating innovative educational interventions.

Purpose: The purpose of this project was to implement and evaluate a scenario-based virtual escape room intervention to enhance undergraduate nursing students' confidence in DCs.

Methods: Grounded in Kolb’s experiential learning theory, this online asynchronous intervention engaged students through concrete experience, reflective observation, abstract …

Increasing Confidence Of Respiratory Therapy Students In Cardiopulmonary Resuscitation Using Rapid Cycle Deliberate Practice, Heather Ashley

Theses

Background: Rapid Cycle Deliberate Practice (RCDP) simulation has emerged as an innovative approach to strengthening confidence among healthcare learners and professionals. Grounded in Kolb’s Experiential Learning Theory, RCDP emphasizes structured repetition, immediate feedback, and skill refinement through cycles of performance, reflection, and reapplication.

Methods: Senior-level respiratory therapy students participated in either a traditional cardiopulmonary resuscitation (CPR) simulation or an RCDP CPR simulation as part of their scheduled coursework. After completing the simulation, students participated in a post‑simulation survey, and scores were compared between the two groups.

Results: Confidence was evident across both simulation methods, and students indicated increased self‑confidence following …

From Tension To Teaching: Combating Incivility And Bullying Behaviors Directed At Nursing Students, Shelley Dyal

Theses

Background: The phrase “nurses eat their young” has long been used to describe the culture of incivility and bullying often directed at nursing students. These behaviors in the nursing clinical learning environment break down nurse-student relationships. To address this issue, nursing staff must have the tools to fulfill their roles as educators and mentors in clinical settings. The purpose of this project is to implement and evaluate the effectiveness of an evidence-based asynchronous educational workshop focused on incivility reduction and student mentorship among nursing staff in a rural hospital setting.

Methods:  This study used a quantitative, one-group pretest–posttest intervention design …

Empowering Change: Impact Of Motivational Interviewing On First-Semester Nursing Students' Perceived Confidence And Communication Skills, Norma L. Branyon

Theses

Background: Effective communication is vital when interacting with others, regardless of the profession. When healthcare providers lack the skills to facilitate conversations about behavior changes, poor patient outcomes can be produced. New graduate nurses often encounter difficulties in effectively communicating with patients and display reluctance to engage with patients and their families. Ineffective communication may lead to increased anxiety, miscommunication, and mistrust. This communication gap can hinder therapeutic relationships, patient engagement, and overall health outcomes. Communication plays a crucial role in student nurses’ self-confidence, motivation, and personal and professional growth. Therefore, role transition for new nurses can be difficult and …

The Southern Roots Of Populist Rhetoric And The Growth Of Fundamentalism, Ethan Teems

Theses

The religious fundamentalism of the 1920s was a direct evolution of the Southern Populist movement of the 1890s. While populism began as a political crusade against economic exploitation, industrialization, and urbanization, it evolved into a movement that attacked modernity. The southern United States was rooted in a predominantly religiously homogeneous society. The Protestant religions that encompassed the region were unwilling to adapt to a changing society, allowing religious fundamentalism to expand.

Beginning with the cultural conflicts of the 1920s, such as the Scopes Trial and William Jennings Bryan’s activism, the study explains how fundamentalists framed their struggles against modernism as …

Analysis Of Surrogate Models At Multiple Levels For Neural Acceleration Of Hpc Applications, Bibek Panthi

Theses

Due to rise of machine learning workloads, high performance computing platforms have increased GPU resources. Consequently, use of surrogate models, to utilize GPU compute and speedup scientific applications, is on the rise. Most of the time, the whole program is replaced with a surrogate model. In this work a shock simulation program (LULESH) was taken and three functions of varying complexity were replaced with small sized neural network as surrogate models. The speedup and error in output of whole program was analyzed. We found that for the smallest function, trained model lead to speedup of overall program by 40%, maintained …

'Guide The Tide' - Supervision Of International Medical Graduates In The Emergency Department: A Mixed Methods Study, Purnasankar Bhowmik

Theses

Australia’s emergency departments (EDs) have experienced significant stress since the COVID-19 pandemic. An increase in the number of patient presentations, a lack of in-patient beds for the disposition of admitted patients and long waiting times are contributing factors jeopardising patient safety. In addition, the shortage of skilled staff to look after patients in the ED is the paramount concern currently and moving forward. Similarly to many other specialty areas of medicine, EDs rely on international medical graduates (IMGs) to fill the gaps in the medical workforce. However, concerns have been raised regarding IMG diversity in training requirements, clinical skills and …

Compassion In Crisis: A Study Of Compassion Fatigue Among Nurses Working In The Emergency Department At A Western Australian Metropolitan Tertiary Hospital, Sonu Susamma Sam

Theses

Compassion fatigue (CF) is defined as the emotional depletion caused by ongoing involvement in caring for another individuals experiencing trauma or hardship, pain, distress, and critical incidents. It is characterised by a decline in emotional capacity, reduced ability to empathise, and feelings of helplessness, that could potentially lead to burnout and secondary traumatic stress. While CF affects many healthcare providers including physicians, social service professionals, mental health practitioners, but nursing staff are particularly vulnerable due to their close and continuous engagement with patients.

Compassion fatigue has been extensively examined in oncology, palliative care, and intensive care, where exposure to patient …

Tranquil Talismans, Yayan Zhang

Theses

My series aims to delve deep into my personal experiences, narrating the uncertainty of graduating, the imbalance between study and work, and the anxiety brought about by countless rejections that have gradually disrupted the rhythm of my life. This disruption manifests in physiological symptoms such as insomnia, irregular menstrual cycles, emotional fluctuations, and the discovery of bodily lumps.My thesis work is separated into three parts of my journey. The first part portrays a dark period marked by chaos and confusion as I underwent a transition in my social roles and visually metaphorizes the onset of anxiety as darkness and chaos …

Leveraging Open-Source Llms For Infrastructure Drift Detection And Correction, Kemoy S. Campbell

Theses

Infrastructure as Code (IaC) enables organizations to provision and manage infrastructure at scale using version-controlled, declarative specifications. Despite these advantages, infrastructure drift where deployed resources diverge from their intended configuration remains a persistent operational challenge and is often addressed manually and reactively. Recent advances in Large Language Models (LLMs) have accelerated their adoption within software engineering and DevOps workflows; however, the sensitive nature of IaC artifacts, particularly Terraform state files, has limited organizational willingness to rely on public LLM services for drift detection and remediation. This thesis investigates the feasibility of using open-source, self-hosted LLMs to assist with IaC drift …

Examining Preoperative Health And Lifestyle Risk Factors In Patients Awaiting Surgery During Covid-19 In Western Australia, Nadine Radin

Theses

This study investigated the prevalence of modifiable preoperative lifestyle risk factors among patients undergoing upper gastrointestinal and colorectal surgery at a metropolitan hospital in Perth, Western Australia (WA). It aimed to characterise behaviours such as smoking, alcohol and drug use, nutritional risk, physical fitness, frailty, and body mass index (BMI), and to examine whether these changed during the early phase of the COVID-19 pandemic in 2020 compared to 2019.

A retrospective audit of 2,340 patient medical records was conducted, with data extracted from routinely collected preadmission documentation. Regression models compared the prevalence of risk factors across matched calendar periods, adjusting …

A Complex Systems Integration Analysis Approach, Tamia Neal

Theses

It has been said that if the building blocks of a system were designed and implemented correctly, then their subsequent integration would be straightforward. The complex systems integration analysis approach presented in this thesis provides the mechanisms to construct those blocks. A spectral clustering algorithm is used to cluster elements into modules, and the normalized integrative complexity metric is used to evaluate the portion of structural complexity that can be attributed to integrating a system from its modules. Together, the algorithm and metric identify which aggregates of system elements reduce the complexity of the integration effort. The proposed integration analysis …

Evaluating The Operational Performance Of Diverging Diamond Interchanges Under High Heavy Vehicle Traffic Using Synchro Traffic Simulation Software, Hannah Duke

Theses

Diverging Diamond Interchanges (DDIs) are increasingly used to improve traffic flow and safety, particularly where left-turn volumes are high. However, their operational performance under high heavy vehicle percentages has not yet been evaluated. This thesis investigates the impact of varying HV percentages and traffic volumes at a sample DDI location. Traffic simulation using Synchro software was used to model the DDI under scenarios with varying heavy vehicle percentages and varying volumes. This approach allowed evaluation of traffic growth and increasing heavy vehicle presence on DDI performance, capturing realistic operational conditions for freight-heavy corridors. Key performance measures included average control delay, …

Characterization Of Krypton Ion Sputtering Of Spacecraft Materials Using Electric Propulsion, Ethan Cummins

Theses

In the field of electric propulsion (EP), xenon is the most commonly used gas for ionization. However, krypton has been identified as a potential substitute due to its high specific impulse and low cost compared to xenon. Therefore, there is a desire to understand the effects of using krypton. In EP, sputtering of spacecraft materials downstream of the ion engines have proven to be an issue during long duration missions. This research observes how krypton ions sputter a variety of spacecraft materials (anodized aluminum, glass, BN ceramic, and Kapton). The experiments in this study subject materials to different sputtering variables …

Dna Landscape Tool: An Interactive Webpage, Kerstyn Gay

Theses

Deoxyribonucleic acid (DNA) is a molecule that carries genetic information that makes up every organism. DNA is typically introduced into the biology curriculum starting in high school and depending on an individual's educational path can continue through college. Although taught frequently during school, elements of DNA can be difficult for students to grasp, due to the different visual representations of DNA found in various resources. For instance, when comparing an illustration of a chemically accurate nucleotide base to an abstract visualization of a chromosome learners often aren’t given enough scaffolding to see how one representation relates to the other, which …

Predicting Undergraduate Fallout And Success, Ammar Ahmed Alzarooni

Theses

Universities need to uncover students who are likely to drop out early and do something about it. It should be easy to find and use this information. This thesis evaluated interpretable machine-learning models (MLMs) for predicting three final student outcomes including Dropout, Enrolled and Graduate, using solely demographic, administrative/financial and first-semester academic variables. Study employed publicly accessible Portuguese UCI student retention dataset (4,424 records) and incorporated end-of-Semester-1 feature window to prevent look-ahead leakage and align with actual advising cycles. We trained and compared models using stratified validation, explicit class-imbalance handling and decision-threshold optimization to make dropout detection most critical factor. …

Impact And Requirements Of Future Robots In The Urban Realm: Dubai Silicon Oasis Case Study, Abduljalil Abbasi

Theses

Robots are moving from factories and warehouses into the streets, sidewalks, and shared public spaces of cities, and Dubai Silicon Oasis (DSO) is at the forefront of this shift in the Gulf region. Through the Talabat ‘talabot’ autonomous delivery pilot, DSO has demonstrated that sidewalk robots can operate reliably in a hot-climate, mixed-use urban district, but this operational success has outpaced the governance frameworks, spatial design standards, and long-range planning foundations needed to scale deployment safely, inclusively, and sustainably to 2035. This thesis addresses that gap by asking how DSO can design and govern the integration of robots into its …