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Generative Ai-Driven Optimization In Flexible And Reconfigurable Manufacturing Systems, Salah Hammedi, Hicham Chaoui, Lotfi Nabli

Electrical & Computer Engineering Faculty Publications

Flexible and Reconfigurable Manufacturing Systems (FRMSs) are essential for coping with variability in modern production environments; however, efficient scheduling and rapid reconfiguration remain challenging. This paper presents a hybrid optimization framework that integrates Colored Petri Net (CPN) modeling with Generative Artificial Intelligence (GenAI) to enhance scheduling performance and system adaptability. The CPN formalism ensures verifiable modeling of system dynamics, while a transformer-based generative model produces candidate scheduling and reconfiguration strategies. Simulation experiments were conducted under static, dynamic, and adaptive scenarios, including machine breakdowns and dynamic job arrivals. Performance was evaluated using makespan, mean flow time, machine utilization, and reconfiguration latency. …

Good Samaritan Medical Center V. Leapfrog Group, Southern District Of Florida

Historical and Topical Legal Documents

No abstract provided.

The Principle Of Tolerance And Logical Pluralism, Teresa Kouri Kissel

Philosophy Faculty Publications

Logical pluralism is the view that there is more than one correct logic. This is in contrast with logical monism, which holds that only one is, and logical nihilism, which holds that none are. Monists are typically folks who defend a single logic, like Michael Dummett (2000) or Alan Ross Anderson and Nuel D. Belnap (1975), as correct for guiding deductive reasoning.

Adversarial Certification Of Evidentiary Software, Nicholas G. Vincent, Bryan H. Choi, Eli Siems, Clay Halbert, Katherine J. Strandburg

Publications

No abstract provided.

The Cultural Adaptation Of Abstract Expressionism In The Middle East, Solmaz Shoukohi

MA Theses

Abstract Expressionism emerged in post-WWII New York as both an artistic revolution and a tool of cultural diplomacy. This thesis examines how that ostensibly “American” art movement was adapted and transformed in the Middle East from the 1950s through the  1980s. Chapter 1 outlines the rise of Abstract Expressionism amid Cold War politics, highlighting how the style was promoted globally as a symbol of freedom. It discusses the role of U.S. institutions in exporting avant-garde art – famously described by Eva Cockcroft as a “weapon of the Cold War” – through touring exhibitions and covert sponsorship. Chapter 2 then traces …

Methods For Inter-Sensor Radiometric Harmonization Of Planetscope Superdove Constellation, Biraj Bikram Pathak

Theses

The PlanetScope SuperDove constellation consists of approximately 130 CubeSats. Radiometric drift among the satellites degrades time-series workflows. We formulate inter-sensor harmonization as a supervised regression problem and train a single model across all eight spectral bands using overlapping regions from cross- sensor image pairs. Controlled experiments on same-day image pairs show that a cubic spline model with 20 uniform knots and joint Ridge regularization achieves the lowest error among the evaluated per-pixel regression approaches. The model converges to a Kullback-Leibler divergence between 0.001 and 0.003, and no alternative architecture studied achieves a statistically significant improvement. Models that fit on each …

From Designation To Implementation: A Qualitative Study Of Support Structures For Latinx Students At A Hispanic-Serving Institution, Steven A. Freeman

Graduate Studies Theses and Dissertations 2026

This study addresses the persistent misalignment between the enrollment-based designation of Hispanic-Serving Institutions (HSIs) and the extent to which these institutions implement intentional practices that support Latinx student success. As HSIs continue to grow nationally, it is critical to examine whether institutional efforts move beyond symbolic designation toward meaningful “servingness,” particularly given the increasing reliance on these institutions to advance social mobility and educational attainment for Latinx students. The purpose of this qualitative study is to explore the support structures an HSI provides to promote Latinx student success and to examine Latinx students’ perceptions of the effectiveness of these supports. …

Advances In Active And Passive Integrated Photonic Devices On Thin-Film Lithium Niobate, Pooja S. Kulkarni

Graduate Studies Theses and Dissertations 2026

Thin-film lithium niobate (TFLN) has emerged as a powerful platform for integrated photonics, combining the exceptional electro-optic, nonlinear, and optical properties of bulk lithium niobate with the scalability and compactness of planar nanophotonic technologies. Building on these principles, advanced device architectures such as adiabatic dichroic filters have demonstrated exceptional spectral performance spanning over two octaves of bandwidth on the TFLN platform. Beyond reciprocal devices, it also offers promising pathways toward integrated nonreciprocal components. By leveraging broadband filtering structures and advanced nonlinear photonic design strategies, compact and monolithic optical isolators can be envisioned without relying on traditional magneto-optic materials. In the …

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 …

Spatially-Distributed Imu Array Navigation : Virtual Imu And Federated Approaches With Applications To Uncrewed Aerial Systems, Jackson Neese

Theses

This thesis investigated lever arm effects on distributed inertial measurement unit (IMU) array navigation and evaluated the performance of multiple fusion architectures with applications to uncrewed aerial systems (UAS). The Kalman Filters comprise of three filters: a naive baseline, a filter tracking lever arm as a filter state, and a filter constraining lever arm state estimates around known values. These filters feed into a virtual IMU fusing raw measurements and a federated filter combining output states. Each are evaluated with equal, static, and dynamic weighting based on lever arm and sensor noise. Experiments on indoor and outdoor UAS datasets reveal …

Modelling Novel Planar Nozzle Geometries For A Z-Pinch Fusion Propulsion System, Stephanie Manasterski

Theses

Interplanetary travel using chemical or electrical propulsion faces two major obstacles: the long mission timelines and the health risks to human crews from prolonged radiation exposure. Fusion propulsion offers a potential solution through high specific impulse and moderate thrust values. Z-pinch fusion, a pulsed magneto-inertial fusion approach, is promising for propulsion as the plasma is confined through current-driven compression, eliminating the need for external confinement coils to achieve ignition conditions, and the confinement configuration is simple. A 3-dimensional model of a novel linear magnetic nozzle geometry was developed with the propellant, dissociated ammonia, oriented sideways in the nozzle, assuming prior …

Dimension Reduction Involving Exogenous Variables With Applications In Manufacturing And Healthcare, Linxi Li

Theses and Dissertations

High-dimensional data analysis presents diverse challenges, including the curse of dimensionality, the complexities of working with datasets that combine large feature spaces with limited sample sizes, and difficulties in identifying meaningful relationships among variables. As datasets grow in size and complexity across different fields, it is increasingly important to develop practical approaches for extracting essential information from such data. Dimension reduction methods address these challenges by alleviating the effects of high dimensionality, enhancing the ability to reveal hidden patterns, and uncovering latent structures within the data to support further analysis. Some methods reduce dimensionality while preserving all relevant information, offering …

Medical Linear Accelerator Water Tank Measurements Optimization For Commissioning, Tyler R. Laugh

Theses and Dissertations

Beam commissioning is a critical component of linear accelerator (LINAC) implementation, requiring accurate measurement of percent depth dose (PDD), beam profiles, and output factors across a wide range of field sizes. Conventional commissioning workflows often require multiple detectors and can be time-intensive, particularly for small-field dosimetry where measurement accuracy is highly sensitive to detector characteristics. This study evaluated the performance of a plastic scintillation detector (BP-PSD) for full water tank commissioning and its potential to improve efficiency while maintaining dosimetric accuracy.

Beam data were acquired for field sizes ranging from 1 × 1 cm² to 40 × 40 cm² using …

Towards Sample-Efficient Deep Reinforcement Learning, Guang Yang

Theses and Dissertations

Deep reinforcement learning (DRL), combining reinforcement learning and high-performance function approximations such as deep neural networks (DNN), is a powerful approach to solving complex sequential decision-making problems. However, due to the complex solution space of the sequential decision-making problems and the inefficient design of the DRL algorithms, DRL algorithms usually require a prohibitively large number of data samples to train effective strategies. Consequently, it is difficult to apply these DRL algorithms to complex real-world problems that require high costs to collect a large volume of data samples. This dissertation proposes new mechanisms to address this sample inefficiency issue, realizing sample-efficient …

An Integrated Data-Driven Framework For Arctic Shipping: Analyzing Vessel Speed, Environmental And Ecological Factors Through Innovative Statistical Spatio-Temporal Methods, Inverse Optimization And Machine Learning, Mauli Pant

Theses and Dissertations

This dissertation develops an integrated data-driven framework to analyze vessel navigation and ecological risk in the United States Arctic from 2010 to 2019. As environmental change and maritime activity increase in the region, understanding how vessels respond to dynamic conditions and how those responses interact with marine ecosystems has become increasingly important. A central theme of this dissertation is the treatment of vessel speed as both an observed outcome and a decision variable reflecting trade- offs among operational, environmental, and ecological factors. The first chapter develops a predictive framework for vessel speed over ground (SOG) using Gaussian Process Boosting (GPBoost), …

Student Centered Approaches To Analyzing Engagement And Discourse, Kamil Hankour

Theses and Dissertations

Student engagement and participation in classroom discourse are widely recognized as powerful predictors of meaningful science learning, yet students’ own perspectives on the factors that shape their engagement and participation are currently underexamined. Prior research has established strong links between engagement, discourse and outcomes such as academic achievement (Bae & DeBusk-Lane, 2019; Fredricks et al., 2004; Sedova et al., 2019), but less is known about how students understand and interpret their experiences across individual, group-level and classroom contexts, particularly within historically marginalized populations (Cook-Sather, 2013; Schaefer et al., 2024). This three paper dissertation advances a line of inquiry integrating a …

Light And Unseen, Daša Kulikova

Theses and Dissertations

This thesis is a body of paintings and two poetic fragments. Shaped by distance and displacement, the work finds its ground in the tension between the desire to be free from the past and heal, and longing for home and connection. Painting practice becomes an event of contact with what is lost, or unclear, or in the process of becoming through accumulating layers, marks, erasures, and traces of the process of its making.

There Is A Puddle In Stonehenge, Nathaniel Newcomb

Theses and Dissertations

I began by making what I called "furniture": finding discarded logs and using a chainsaw, I milled out slabs of wood far larger than any normal board or beam, and gave them the function of chair, table, shelf. Sometimes it was a "shelf" in name only, and was commentary on furniture. In my practice, using discarded wood is necessary for the sake of the earth; making original pieces is necessary for the sake of my soul. I am reminded of megaliths when I erect these enormous forms in wood. I make intuitively, and like the meaning of megaliths, obscured by …

Plumbed 3-Manifolds And Neumann Moves, Noah J. Pope

Theses and Dissertations

We give a constructive proof that every weakly negative definite plumbing tree can be transformed into a negative definite one by a finite sequence of Neumann moves. The argument combines Neumann’s plumbing calculus with the diagonalization algorithm of Duchon, Eisenbud, and Neumann, which extracts the eigenvalues of the framing matrix directly from the combinatorics of the tree. We show that any positive eigenvalues are supported on linear branches and can be eliminated systematically via controlled applications of Neumann moves. This provides an explicit algorithm reducing weakly negative definite plumbing trees to negative definite ones.

Comorbid Psychosis In The General Population, Mariam Sankoh

Theses and Dissertations

Psychosis is a complex psychiatric phenotype characterized by substantial heterogeneity in symptom presentation, psychosis diagnosis, comorbidity patterns, and genetic architecture across diverse populations in the general population. Despite advances in psychiatric epidemiology and genomics, important gaps remain in understanding how psychosis symptoms and psychosis-related diagnoses manifest across racial and ethnic groups and how evolutionary genomic factors may contribute to disease risk and cross-ancestry genetic prediction. This dissertation, Characterizing Comorbidity in Psychosis in the General Population, integrates epidemiological, psychometric, and evolutionary genetic approaches to examine psychosis across diverse populations.

Aim 1 examined racial and ethnic differences in psychosis comorbidity patterns …

24-H Circadian Rest-Activity Rhythms And Physical Frailty In Older Adults: A Biopsychosocial Perspective On Sex Differences And Social Capital, Jisu Kim

Theses and Dissertations

Physical frailty is a prevalent geriatric syndrome characterized by age-related decline across multiple physiological systems. Physical frailty is associated with an elevated risk of adverse health outcomes, including chronic disease progression and all-cause mortality, representing a significant and growing public health concern. Disrupted circadian rest-activity rhythms (RARs) are increasingly recognized as clinically meaningful markers of physical frailty in older adults. However, the extent to which biological sex and social determinants of health (SDoH), particularly social capital, contribute to or modify the associations between RARs and physical frailty remains underexplored.

Therefore, this dissertation summarizes the existing literature on age-related changes in …

Mediator: Ornament As A Visual Language Of The Transcendent, Selma Fejzullaj

Theses and Dissertations

Adolf Loos’s declaration that “ornament is a crime” defined modernist design, establishing a legacy that dismisses ornamentation as wasteful and regressive. This research questions that legacy by repositioning aesthetics as a divinely grounded value, inspired by the Qur’anic vision of Paradise. In this celestial realm, beauty is not wasteful but a manifestation of divine perfection. Conceptually, the project reclaims ornament as a vital tool for contemplating metaphysical themes. Materially, it reimagines glass, shifting it from modernist "radical honesty" to a medium of layered depth. Recombining traditional Islamic ornamentation practices such as Girih and Chaharbagh, the project evokes the Qur’anic vision …

Centering Individual Well-Being In Learning Environments: Academic Stress, Psychological Safety, And Digital Discourse, Rachel Niemira Namboodri

Theses and Dissertations

Statement of Problem

How do we guide students through school while supporting their emotional and psychological health? This question lies at the heart of contemporary educational psychology research, as growing evidence demonstrates that students’ academic achievement and psychological well-being are deeply intertwined with their experiences in learning environments (Baumeister & Leary, 1995; Edmondson & Lei, 2014; Gopalan & Brady, 2020; Song et al., 2024; Spencer, 1995; Walton & Cohen, 2011). Decades of scholarship affirm that students’ academic achievement and psychological well-being are deeply intertwined with how they experience schools, classrooms, peers, teachers, and institutional structures (Baumeister & Leary, 1995; Edmondson …

A Mathematical Frameworks For Singular, Nonlinear Phenomena: Applications To Nematocyst Firing And Inhomogeneous Nls With Coulomb Potential, Abdulrahman Alharbi

Theses and Dissertations

Nematocysts are specialized cellular organelles found in all cnidarians, including corals and jellyfish, as well as in some single-celled protists such as dinoflagellates. These organelles display remarkable diversity in morphology and function, playing roles in prey capture and defense. The firing of a nematocyst is one of the fastest accelerations in nature, yet the underlying physical mechanisms remain not fully understood. In this work, we address key questions: how sufficient force is generated to overcome the fluid boundary layer, whether fluid–structure interaction models can reproduce observed dynamics, and what mechanisms trigger discharge.

Our research investigates models based on osmotic pressure …

Early Math Readiness And Later Achievement: A Longitudinal Study, Bailey Bontrager

Theses and Dissertations

The current body of literature provides much evidence that mathematics skills at the start of kindergarten are predictive of later mathematics achievement, and that students enrolled in early childhood education (ECE) programs are better prepared for mathematics at the start of kindergarten. However, the potential for children to develop mathematical skills prior to entering kindergarten relies on access to ECE programs and resources in families’ surrounding communities. Recent use of geospatial data collection techniques and measures of community resource availability have enabled researchers to examine specific localities for the ways in which community organizations and institutions support residents in particular …

De Novo Protein Binding To Zinc Oxide Through Biomineralization Pathways, Jean-Mark A. Francis

Theses and Dissertations

De novo proteins are structurally distinct from proteins found in nature and thus capable of having their amino acid sequence modified to accomplish tasks such as increasing protein-nanoparticle binding without unfolding or decomposing. Zinc Oxide nanoparticles are functionally distinct from their bulk counterparts and are widely used as semiconductors in a variety of fields such as medicine and agriculture. With demand for these nanoparticles increasing, environmentally sustainable methods of Zinc Oxide nanoparticle synthesis are being investigated as an eco-friendly alternative to currently utilized but environmentally hazardous chemical and physical techniques. This research investigates the binding characteristics between Zinc Oxide nanoparticles …

Conceptual Concerns Regarding The Content Validity Of The Construct Of Gender Dysphoria In The Diagnostic And Statistical Manual Of Mental Disorders, Fifth Edition, Text Revision, Waverley Vesely

Theses and Dissertations

The diagnostic classification of gender dysphoria in the DSM-5-TR elicits a number of clinical, political, and philosophical concerns, ranging from those that are diagnostic and taxonomical in nature to those that fall within the domains of ontology, phenomenology, and hermeneutics. Part of the reason for the complexity of studying the diagnostic and nosological validity of gender dysphoria as an extant diagnostic classification is that, unlike many disorders, gender dysphoria is inextricably tethered to identity. While the recent change from gender identity disorder to gender dysphoria has nominally removed the status of disorder, in practice, both clinicians and the general population …

Optimizing Markov Chain Monte Carlo Algorithms For Fairness, Scalability, And Interpretability In Electoral Redistricting, Madhukara Kekulandara

Open Access Dissertations

Gerrymandering undermines democratic representation by manipulating electoral district boundaries to dilute the political influence of targeted communities. While Markov Chain Monte Carlo (MCMC) based redistricting algorithms have become a standard computational tool for detecting partisan gerrymandering, their effectiveness in addressing racial gerrymandering and their scalability on modern computing systems remain limited. This dissertation advances the theory and practice of algorithmic redistricting by optimizing MCMC-based approaches across three dimensions: racial fairness, computational efficiency, and interpretability.

First, this work introduces the Partial Map MCMC algorithm, a novel redistricting method designed specifically to address racial gerrymandering under the legal framework of Section 2 …

Mg-Spair: Multi-Grade Sparse-Guided Implicit Representation For Training-Data-Free Image Restoration, Jianmin Liao, Lei Huang, Ronglong Fang, Ashley Prater-Bennette, Lixin Shen, Yuesheng Xu

Mathematics & Statistics Faculty Publications

MG-SpaIR is a training-data-free framework for restoring a clean image from a single observation corrupted by a mixture of blur, downsampling, noise, and missing pixels. Building on implicit neural representations (INRs), we introduce a multi-grade residual hierarchy that progressively refines the reconstruction from low to high spatial frequencies across grades, improving representational fidelity and mitigating spectral limitations. To stabilize reconstruction optimization and suppress INR-induced artifacts, we further propose an explicit sparse proximal regularization (e.g., ℓ0 type) applied directly in the high-resolution image domain, which discourages spurious high-frequency patterns while preserving sharp structures. The resulting optimization is solved efficiently via a …

Coached By A Custom Chatgpt And Ready For Trial, Staci J. Pratt

Publications

No abstract provided.