Impact Of Student Voice In The (Dis) Engagement Of Middle School Students In Urban Elementary School And Academic Achievement, Valandra N. Lloyd

Dissertations

This formative mixed-methods evaluation study explores the impact of culturally inclusive teaching practices on student voice, engagement, and academic outcomes among middle school students in an urban elementary school. Grounded in the theoretical frameworks of Culturally Relevant Pedagogy (Ladson-Billings), Culturally Responsive Teaching (Gay), and Culturally Sustaining Pedagogy (Paris & Alim), the study addresses persistent academic disparities experienced by students of color. Using classroom observations, student surveys, student focus groups, and teacher interviews, the research examines how teacher facilitation and inclusive classroom environments affect behavioral, emotional, and cognitive engagement. Findings will inform actionable strategies to amplify student voice and promote culturally …

Colloidal Quantum Dots: A Path Toward Making Mid-Wave Infrared Sensing A Ubiquitous Technology, Mohammad Mostafa Al Mahfuz

Dissertations

Reducing the size, weight, power consumption, and cost (SWaP-C) of infrared detectors could make infrared sensing more widely accessible. In the critical mid-wavelength infrared (MWIR) spectral range of 3-5 gm, commercially available detectors are limited by the high costs associated with epitaxial growth and hybridization, as well as the need for cryogenic cooling. These factors restrict their use to defense and space applications.

Colloidal quantum dots present a promising material for overcoming these challenges, with wafer-scale monolithic integration and Auger suppression being the key material capabilities to minimize the sensor's SWaP-C. Infrared sensors based on colloidal quantum dots have been …

Childhood Neuroanatomical Markers Of Familial And Nonfamilial Attention-Deficit/Hyperactivity Disorder, Rahman Baboli

Dissertations

Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent neurodevelopmental disorder, characterized by developmentally inappropriate levels of inattention, hyperactivity, and impulsivity. Children with family history of ADHD are at an elevated risk of having ADHD as well as a higher risk of persistent ADHD into adulthood, reflecting a source of etiological heterogeneity in ADHD. This heterogeneity in terms of both biological and environmental risk factors may explain differences in neural correlates, outcomes, cognitive, behavioral as well as developmental trajectories. It is therefore critical to understand the influence of having, or not having positive family risk factors on the neuroanatomical structures of the …

On The Design Of A Framework For Large-Scale Exploratory Graph Analytics, Oliver Andres Alvarado Rodriguez

Dissertations

Large-scale exploratory graph analytics merges data science with high-performance computing to extract critical insights from network-representable data. Data scientists routinely analyze data from the natural, social, and computing sciences by representing it as networks, or graphs, where objects become vertices and their relationships become edges. This representation allows data scientists to add graph analytics to their toolbox. However, designing tools for large-scale exploratory graph analytics is challenging due to the complexities of graph algorithms, such as high communication in distributed systems and large memory demands. These challenges can lead to overly complex software, which limits usability and development to a …

Machine Learning And Optimization For Intelligent Decision-Making, Elson Cibaku

Dissertations

This dissertation presents a series of innovative machine learning and optimization model designs that address complex operational challenges across logistics and power systems. By integrating advanced neural architectures with robust optimization techniques, the work delivers scalable solutions designed to improve efficiency, reliability, and decision-making in dynamic and real-world environments. The first study introduces a two-stage approach to effective vaccine distribution. This framework tackles the capacitated vehicle routing problem by combining adaptive clustering techniques with reinforcement learning and a simulated annealing pickup policy. Through extensive computational experiments, the approach demonstrates substantial improvements in routing efficiency, reducing both computational time and logistical …

Model-Based Reinforcement Learning And Deep Learning For Power Converter Circuit Design Automation, Shaoze Fan

Dissertations

This dissertation presents a comprehensive automated framework for power converter design, leveraging reinforcement learning (RL) and graph-transformer networks (GTN) to address critical inefficiencies in traditional manual topology optimization. Motivated by the combinatorial increase of circuit design spaces and the computational cost of iterative simulations, this work develops a robust framework for generating energy-efficient topologies requiring rapid and reliable circuit design.

The framework integrates three key components: (1) an upper-confidence-bound-tree-based (UCT-based) RL model for circuit topology space exploration, (2) parallelized UCT algorithms to accelerate exploration processes, (3) a Graph-Transformer-based Network enabling fast circuit performance evaluation. Experimental validation demonstrates the whole framework …

Adversarial Robustness In Advanced Machine Learning Models Integrating Graph Neural Networks And Large Language Models, Mahmoud Nazzal

Dissertations

Artificial intelligence (AI) has achieved remarkable performances across various domains. In most real-world applications, data often takes relational forms, such as graphs and networks, or sequential forms, such as text and time series. As AI evolves, specialized models have emerged to handle these structures; Graph Neural Networks (GNNs) for relational mining and Large Language Models (LLMs) for sequential understanding. Despite their success, these models face challenges in security, robustness, and interpretability. GNNs excel in relational reasoning but are vulnerable to adversarial manipulation and lack interpretability, while LLMs are strong in linguistic reasoning and generalization yet struggle with relational data and …

An Inquiry Into The Physics Of Mixing And Floc Filtration, Andrew P. Pennock

Dissertations

Flocculation and clarification are two essential processes to deliver safe water at a reasonable cost to consumers. There are two major thrusts to the research presented in this dissertation. The first is to better characterize the physics and mixing parameters used for the design of hydraulic flocculators in the context of drinking water treatment plants. The second major thrust is to investigate floc filtration as a mechanism for the removal of primary particles during floc blanket clarification.

The intensity of mixing in environmental and chemical engineering applications is often characterized by the Camp and Stein velocity gradient. This parameter has …

Fact-Checking As A Multi-Step Process: From Ambiguity Resolution To Claim Validation, Wenbo Wang

Dissertations

The spread of misinformation and disinformation has become a major concern, particularly with the rise of social media as a primary source of information for many people. Fact-checking—the process of verifying claims against credible evidence—has emerged as a critical safeguard against misinformation. Yet, the task is fraught with challenges: claims are often ambiguous, context-dependent, or composed of multiple intertwined assertions, while automated systems struggle to replicate the nuanced reasoning of human experts. This dissertation addresses these challenges by reimagining fact-checking as a multi-step, knowledge-guided process that systematically resolves ambiguity, decomposes complexity, and validates claims through structured reasoning. Additionally, the proposed …

Next-Generation Extended Reality Systems With Real-Time Edge Artificial Intelligence And Mobile Computing, Pedro H. Regalado

Dissertations

Mixed reality (MR) and augmented reality (AR) systems are reshaping digital experiences by seamlessly integrating physical and virtual environments. This dissertation presents a comprehensive framework for next-generation immersive systems, combining advances in real-time data processing, multi-user synchronization, and secure communication. The core contributions are structured around three interconnected systems: MediVerse, TeleAvatar, and MultiAvatarLink, each addressing critical challenges in mobile MR.

MediVerse is a secure and scalable framework for real-time health and performance monitoring, integrating intelligent IoT sensors, wearable technologies, and MR interfaces. It supports multi-camera fusion, adaptive compression, and real-time three-dimensional (3D) point cloud generation, enhancing data accuracy and responsiveness …

Enriching Vision Representation By Deep Neural Networks And Self-Supervised Learning, Yucong Shen

Dissertations

Nowadays, more and more interesting computer vision tasks are tackled by deep learning approaches. However, the increasing model complexity imposes significant computational and storage costs. To address this challenge, this dissertation explores efficient deep learning techniques, proposing morphological layer, an efficient feature extraction layer. It achieves competitive image classification accuracy with significantly decreased model parameters. Another attempt at efficient deep learning is a proposed channel pruning approach that compresses deep neural networks by identifying and removing redundant channels using optimal transport theory. This approach achieves significant reductions in model size and computational cost while maintaining or even improving performance across …

From Neural Networks To Large Language Models: Innovations In Financial Ai, Mathematical Reasoning, And Structured Data Representation, Junyi Ye

Dissertations

This dissertation explores the evolution and application of artificial intelligence techniques across three critical domains: financial modeling, mathematical reasoning, and structured data analysis. The dissertation presents seven research projects that chart a progression from specialized neural architectures to sophisticated large language models (LLMs), contributing novel methodologies and frameworks at each stage.

In the financial domain, the research first introduces TS-Mixer, a MLP-based architecture for time-series forecasting that captures both feature relationships and temporal dependencies through a simple yet effective design, outperforming more complex models in S&P500 index prediction. The dissertation then presents DySTAGE, a dynamic graph representation learning framework that …

Towards Explainable Ai On Graph Neural Networks: Xaig, Jiaxing Zhang

Dissertations

In the evolving landscape of artificial intelligence (AI), Graph Neural Networks (GNNs) have garnered growing prominence for their adeptness in processing graph-structured data. Despite this, the interpretability of their predictions often remains elusive. The demand for transparency and explainability in complex prediction models has reached unprecedented levels. To address this, post-hoc instance-level explanation techniques have emerged, aiming to unveil the rationale behind GNN predictions. These techniques endeavor to unearth substructures that elucidate the predictive behavior of trained GNNs.

This dissertation embarks on an exploration of Explainable AI (XAI) technologies within the realm of GNNs. Amid the challenges posed by the …

Constructing Portraits Of Elementary Teachers Of Ethnic Studies: Examining The Narratives Of Anti-Racist Educators In An Era Of Common Core Curriculum And Instruction, Jennifer S. Manglicmot

Dissertations

The emergence of policies requiring ethnic studies courses in California’s secondary and higher education institutions amplified calls for anti-racist pedagogy and content in all K-12 grade levels. Currently, little empirical research exists on how ethnic studies is taught in elementary school classrooms. This absence is significant because instruction in these settings tend to focus heavily on meeting state content standards (i.e. Common Core), frameworks which have been critiqued as ignoring communities of Color epistemologies and promoting color-evasive ideologies, among other concerns. Through interviews, classroom observations, and document analysis, this qualitative multiple-case study explored how anti-racist and ethnic studies pedagogies are …

Black Parents’ Use Of Educational Advocates: Disrupting Structural And Systemic Racism In Education, Fredericka R. Butler Phd

Dissertations

Research indicates that educators’ deficit perceptions of Black students and their families factor into Black student overrepresentation in disciplinary and special education referrals and underrepresentation in advanced coursework (Annamma et al., 2014; Ford et al., 2023). This prevalence of implicit bias is documented, as is the significance of Black parent involvement in their children’s education (Latunde & Clark-Louque, 2016). Black parents’ awareness of educator racism encourages distrust of educators and interferes with cultivating effective home-school relationships that encourage successful student outcomes. School districts offer the services of educational advocates to provide support to parents whose children are referred for special …

Through The Four Truth Lens: Exploring Climate Change Communication At Joshua Tree And Glacier Bay National Parks, Heather A. Waterman, Amanda Berlinski

Dissertations

The climate crisis threatens our global communities, cultures, and futures. Communication that brings climate change into everyday conversations and galvanizes the public to respond to it collectively is needed. However, political divides in the United States make climate change a contested heritage topic that is challenging to address. The purpose of this applied, basic qualitative research study was to use the Four Truth Framework, developed by the South African Truth and Reconciliation Commission, to investigate climate change communication at Joshua Tree National Park in California and Glacier Bay National Park in Alaska. Climate change affects national parks more than other …

Building A Grounded Theory Of Resilience Among Survivors Of Chronic Ischemic Stroke, Erin Marie Tompkins Doan

Dissertations

Abstract

Stroke is disruptive with elusive recovery and adjustment. Beyond traditional aspects of stroke rehabilitation, literature suggests adjustment to stroke should also include intervention with focus on resilience. A gap exists between conceptualization, theoretical models, and strategies for supporting resilience in persons with chronic ischemic stroke. This three-manuscript dissertation research comprised a scoping literature review, a pilot study, and a phenomenological case study. We employed a convergent mixed methods design in which we implemented and studied outcomes of an adaptive mindfulness intervention. We implemented eight focus groups with eight adults and four individual interviews over 13 months. The Brief Resilience …

Parent’S Health Literacy And Stress Level In The Inpatient Pediatric Setting, Tina C. Smith

Dissertations

Purpose: This study examined the relationship between parent health literacy and stress levels during their child’s inpatient hospitalization.

Background: In 2019, over five million pediatric hospitalizations occurred in the United States. Parents are central to their child’s care, but stress and sociodemographic factors may hinder their ability to understand and apply health information. This study explored how stress and other variables impact parent health literacy during hospitalization.

Methods: A cross-sectional design included a demographic survey, the Perceived Stress Scale (PSS-10), and the Newest Vital Sign (NVS). Bivariate analyses (Chi-square, t-tests) and logistic regression were used to assess …

Leading Change For Transgender And Gender Diverse Healthcare: Assessing Organizational Readiness, Braxten Lovett

Dissertations

Background: Transgender and gender-diverse (TGD) individuals face persistent stigma and systemic discrimination across multiple societal domains, with healthcare settings—intended as safe spaces—often being among the most harmful. Despite increased visibility of TGD populations and growing research on their health inequities, inclusive healthcare remains insufficiently addressed by many healthcare leaders, adding to the urgency to advance equitable, inclusive care. Additionally, structural cisnormativity and binary gender frameworks continue to perpetuate misinformation, erasure, and health disparities. Addressing these entrenched barriers requires systemic reform rooted in cultural humility, inclusive practices, and a commitment to dismantling cisnormative bias within healthcare delivery and policy. This study …

Jewish College Students' Experiences Of Belonging, Identity, And Inclusion Within Campus Dei Initiatives, Laurence Allen Bolotin

Dissertations

Jewish college students navigate complex identities within higher education, often facing challenges related to antisemitism, exclusion, and the omission of religious identity within many Diversity, Equity, and Inclusion (DEI) initiatives. This qualitative narrative inquiry explores the lived experiences of Jewish undergraduate students at public universities across the United States, examining their perceptions of belonging and the effectiveness of campus DEI initiatives in addressing their needs. Grounded in Jewish Critical Theory (JewishCrit), this study analyzes semi-structured interviews with 11 Jewish students, identifying five key themes: Belonging and Community, Intersectionality and Identity, Experiences with Antisemitism, Institutional Responses and DEI Initiatives, and the …

Creating A Positive Social-Emotional Learning Environment For Transgender Students: A Post-Pandemic Participatory Action Research, Mark Christopher Maranto

Dissertations

This qualitative research employing participatory action protocols (PAR) engages a limited number of gender minority adolescents (current transgender, nonbinary, and gender-fluid secondary students) and allied staff members at one large Midwestern public high school district. The principal purpose is to improve transgender secondary student schooling experiences. This study extends the current educational discourse on SEL (social-emotional learning) in post-pandemic high schools as far as the commitment to improving students' sense of belonging, growth mindset, resilience, and well-being should be a top priority for all educators. The primary researcher positions all participants as co-researchers to explore ways that could improve the …

Mirrors And Windows: Exploring Queer Identity Representation In Graduate Curriculum, Brody C. Tate

Dissertations

Queer representation in higher education curricula remains sparse, particularly at the graduate level, leaving many students without mirrors to reflect their identities or windows into broader queer experiences. This dissertation explores the extent to which queer graduate students perceive their identities as represented in their academic coursework. Using a narrative ethnographic approach, this study amplifies the voices of queer students, examining their lived experiences in relation to curriculum design, classroom discussions, and institutional inclusion. Framed through Queer Theory and Emily Style’s (1988) “Curriculum as Windows and Mirrors,” this research interrogates heteronormativity in graduate education and highlights the importance of visibility, …

Exploring The Experience Of Embodiment Of Diverse Leaders, Susan Lynn Flaming Yeats

Dissertations

The experience of embodiment is a complex phenomenon that spans a range of feelings: a sense of connection to one's physical body, a sense of capability to accomplish certain physical acts, an attunement to self-care behaviors, a connection to desire, and inhabiting the body as a subjective site (Piran, 2016). This can be a complicated experience for leaders who hold multiple intersecting identities (Hill et al., 2016). As new medical therapies promise radical weight loss possibilities, the experience of embodiment has taken on a new layer of complexity (Giorgis, 2024). For fat leaders who are also women of color, sexual …

Leading Through Crisis: San Diego County Schools' Response To The Social Emotional Needs Of All Students, Johana Bielma

Dissertations

The COVID-19 pandemic led to unprecedented school closures, forcing administrators to take decisive action to radically change the educational system. The imperative to switch to remote learning transformed the dynamics of teaching and learning, leading to both immediate and long-term academic and social emotional consequences for all stakeholders. When schools reopened, administrators faced the challenge of reintegrating students into in-person learning while addressing the pandemic’s lasting effects on academics, mental health, and school safety. While academic regression was evident, the extent of students’ emotional struggles was less anticipated. Many students exhibited increased irritability and mental health issues such as depression …

Reimagining Pedagogies Of The Prison Yard: Using Ethnotheatre To Embody Transcarceral Conocimiento, Mabelle Reynoso

Dissertations

Latinxs make up 40% of California's population but account for 45% of the prison population and 47% of the jail population (Sawyer, 2023). Their overrepresentation in carceral custody not only impacts the individual but also affects families and communities by limiting access to social, political, and educational capital and agency. In response to gaps in research specific to the collateral impact, this interdisciplinary arts-based qualitative study highlights the experiences of five formerly incarcerated Latino men who participated in an Arts in Corrections playwriting class during their time in a California state prison. This study foregrounds their knowledge as cuentistas (storytellers), …

Culturally Affirming Independent School Board Governance: Centering The Experiences Of Independent School Board Members Of Color, Christopher S. Dennis Phd

Dissertations

As schools become more diverse, K–12 independent school boards benefit from diversity (Jernigan et al., 2010; Tolbert Smith, 2022). This study examined the narratives of independent school board members of color (BMOC) across the United States’ racialized history of education (Anderson, 1988; Omi & Winant, 2014). The study used a survey (n = 23) and interviews (n = 9) based on Helms’s (1996) racial identity theory and Booth-Bell et al.’s (2021) board governance theory. This multiple case study examined survey responses of BMOC from 17 schools governed by the National Association of Independent Schools (NAIS). Nine respondents were …

Liberatory Love: Exploring Educators’ Perspectives In Alternative Education, Kamala J. Mallipudi

Dissertations

Establishing an operational understanding of love is difficult. The struggle is magnified when attempting to create a shared vision of love across a group of educators. As Freire (1970/2005) and Darder (2011) affirmed, academic success is advanced when educators demonstrate love as part of their praxis. Continuation high schools represent a population of at-promise students who stand to gain much when their educators employ liberatory love practices. This study examined how educators’ perceptions about liberatory love are shifted or formed when they read, discuss, and reflect on the topic with their colleagues. This study drew on critical pedagogy and engaged …

Exploring A Holistic Conceptualization Of Destructive Leadership: Perspectives From The Lived Experiences Of Latino Law Enforcement Command Staff Officers, Carmelin Rivera

Dissertations

Recently, there has been an increased interest in destructive leadership or what is characterized as the dark side of leadership. There is, in fact, no consensus in the literature about the definition of destructive leadership, and this murkiness has led to two somewhat different approaches to understanding this phenomenon: 1) a leader-centric approach that emphasizes the bad behaviors and traits of so-called toxic leaders and 2) a much broader, holistic approach, often discussed as the toxic triangle (Padilla et al., 2007), that focuses on how destructive leadership is co-created by a toxic system of bad leaders and susceptible followers …

Belonging Is Resistance: Illuminating The Power Of Women Of Color Mid-Level Administrators In Higher Education, Rachelle Ann Martinez

Dissertations

Resistance has long been a mechanism through which the dominant norms of society are challenged in the name of social justice. White supremacy, heteropatriarchy, and neoliberalism make it difficult for institutions of higher education to increase diversity, advance equity, and prioritize inclusion. Although these systems of domination adversely impact the belonging of all campus stakeholders, the experiences of mid-level administrators are relatively overlooked, and feeling undervalued and underappreciated is a top reason for many, especially women and people of color, who leave the profession altogether. This qualitative study utilized narrative inquiry to understand how dominant societal norms adversely impact the …

Post Racial Reckoning: Montessori Instructors' Perspectives On Teaching Through An Antibias Antiracist Lens, Jasmine E. Williams

Dissertations

Prior to the racial reckoning of 2020, Montessori teacher education programs (MTEPs) have only narrowly focused on social justice education (Aronson et al., 2020; Bartolomè, 2004; Cook, 2015; Cross, 2005; D’Cruz, 2022; King, 1991). Although MTEPs began to respond differently post-reckoning, support for implementing practices like antibias antiracist (ABAR) instruction was often absent. This study sought to understand how the racial reckoning and efforts to include an ABAR lens impacted the teaching practices of instructors in MTEPs. While ABAR-related studies exist in general teacher education (Blanchard et al., 2018; Madkins & Nazar, 2022; Martinez-Alba, Herrera, & Hersi, 2022), few focus …