Dependency Encoding Within Set-Based State Estimation, Jonas R. Wagner, Justin Ruths

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Methodology For Executing Optimal Nonlinear Trajectories On Resource-Constrained Hardware, Juraj Lieskovský, Nyi Nyi Aung, Karan Baker, Adrian Stein, Jaroslav Busek

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Control System Development For Wave Energy Converters With Active Mechanical Motion Rectifier, Lisheng Yang, Zechuan Lin, John Vincent Ringwood, Lei Zuo

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Entropy-Aware Model Predictive Control For Transient Quality Mitigation In Metal Additive Manufacturing, Md Shafikul Islam, Mahathir Mohamamd Bappy, Saifur Rahman Tushar

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Markerless Estimation Of Ground Reaction Forces From Video For Biomechanical Assessment In Orthotics And Prosthetics, Ricki M. Pierce, Hunter Gilbert, Hyun Kim

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Model-Reference Adaptive Flight Control Of The 95-Mg Bee++, Francisco Goncalves, Conor K. Trygstad, Nestor O. Perez-Arancibia

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Learning Hidden Control Laws For Gps Spoofing Via Unknown-Input Estimation And Reservoir Computing, Seif O. Elsabagh, Wenbin Wan

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Scene-Aware Multimodal Grounding For Verifiable Robot Task Planning, Kshitiz Dhungana, Nina Jiang

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Impedance Addition As A Control Primitive Unifying Kinematic And Kinetic Behavior, Hunter B. Gilbert

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Newton-Flow Particle Filters Based On Generalized Cramér Distance, Uwe D. Hanebeck

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Gap Metrics For Model Fidelity Quantification In Dynamical Systems, Quintin Nelson, Manoranjan Majji

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Gantry Crane Payload Control Using Reference Governing Simulations, Sean Maki, Adrian Stein

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Evaluating Soil Health And Crop Yield In Louisiana Agricultural Systems: Impacts Of Best Management Practices And Prediction Models, Hector J. Mendoza Lagos

LSU Doctoral Dissertations

The adoption of conservation management practices is critical for improving soil health, enhancing nutrient use efficiency, and sustaining crop productivity in row crop systems in Louisiana. This study evaluated the role of conservation agronomic practices, soil biochemical indicators, and machine learning predictive models to improve soil nutrient dynamics, soil health indicators, microbial communities (MC), and crop productivity on a corn (Zea mays L.) research plot scale and in a commercial forty-hectare cotton (Gassypium hirsutum L.)-corn-soybean (Glycine max L.) rotation system in northeast Louisiana. The objectives of the study were to evaluate soil nutrient dynamics and MCs under …

Distributed File Carving, Brad J. Baudin

LSU Master's Theses

File carving is a fundamental technique in the digital forensics community, enabling analysts to recover deleted files from disk images without relying on filesystem metadata; however, as storage capacities continue to increase, modern file carving tools face significant scalability challenges, with carving time growing substantially alongside disk image size, particularly in the presence of file fragmentation. Fragmentation, a common behavior in modern filesystems, distributes file data across non-contiguous disk blocks to maximize space utilization, and in large disk images this distribution can span wide logical distances, increasing the search space and reducing carving efficiency, causing traditional approaches to struggle within …

Building The Foundation For Stem In Toddler Classrooms: Practical Strategies For Novice Teachers, Melissa L. Johnson

Spark! Innovations in Early Childhood Education: A Research-to-Practice Journal for Educators

Young children are natural explorers, and even in the toddler years, they demonstrate the inquiry behaviors foundational to later science, technology, engineering, and mathematics (STEM) learning. However, early STEM experiences are often underutilized in toddler classrooms, primarily due to misconceptions about children's capabilities and a lack of developmentally appropriate resources. This article, written for novice educators, offers practical strategies and examples to help integrate STEM into toddler classrooms. Drawing on current research, national standards, and classroom-based implementation strategies, this piece outlines how to create engaging environments that support toddlers' curiosity and emerging STEM thinking across science, technology, engineering and mathematics.

Techno-Economic Assessment And Life Cycle Analysis Of Electrocatalytic Reduction Of Co2 To Ethanol., Omotolani Elizabeth Oduyebo

LSU Master's Theses

This study presents a techno-economic analysis (TEA) and life cycle assessment (LCA) of the electrocatalytic reduction of CO₂ to ethanol, a multi-carbon (C₂) product with significant market value. Prior TEA studies have relied on simplified lump-sum separation cost estimates, and prior LCA studies have rarely examined the combined effect of CO₂ source and electricity supply on carbon intensity gaps that this work addresses through process-simulation-grounded analysis. An Aspen Plus process simulation was developed for an anion-exchange membrane (AEM) electrolyzer system coupled with an extractive distillation separation train using ethylene glycol as the entrainer, achieving 99.9 wt.% ethanol purity …

Within These Walls, Nicholas J. Roberts

LSU Master's Theses

I was raised to understand home through labor. In the working-class household I grew up in, in rural Southeastern Pennsylvania, value was earned through work, identity took shape through trade, and rest was often an afterthought. That framework was not chosen. It was inherited. And it has not been easy to see it clearly from the inside.

The Exhibition, Within These Walls, examines that inheritance through printmaking and sculpture, using the material and spatial language of domestic construction as both subject and method. Through fragile paper structures that resemble wood but cannot hold weight, a staircase that cannot be climbed, …

Silent No Longer: Pedro Albizu Campos And The Fbi, Noah D. Dubroff

LSU Master's Theses

This thesis explores the Puerto Rican revolutionary, Pedro Albizu Campos, and how he evolved from a typical independence-minded young man into a radical who actively rebelled against the colonial rule of the U.S. because of the pressures applied by law enforcement agencies, especially the Federal Bureau of Investigation.  The United States annexed Puerto Rico in 1898 at the conclusion of the Spanish-American War. Ever since, many Puerto Ricans have strongly advocated for their independence from the continental U.S., shaping the relationship into the present day. This article argues that the pressure and strain of such an imperial relationship influenced Albizu …

Automated Analysis Of Radiation Oncology Incident Reports Using Large Language Models, Nathan A. Dobranski

LSU Master's Theses

Patient safety incident reporting in radiation oncology requires expert analysis that is time-intensive and subject to variability. This thesis presents the development and technical validation of a locally deployed large language model (LLM) system for automated incident report analysis across multiple cancer centers. The system was designed for automated summarization and taxonomy assignment of Radiation Oncology Incident Learning System (RO-ILS) reports, operating entirely on local infrastructure to preserve patient privacy. A two-round, multi-rater evaluation methodology was employed, incorporating 600 total expert evaluations from two academic cancer centers. Round 1 established baseline performance using Mistral 7B and Mixtral 8x7B models with …

Analyzer-Less X-Ray Interferometry With Super-Resolution Methods, Murtuza S. Taqi

LSU Master's Theses

X-ray interferometry provides valuable information on attenuation, small-angle scattering, and differential phase contrast. This multi-modal contrast can aid in many clinical applications, such as lung diseases and breast cancer. However, standard inter- ferometry has an analyzer grating that can increase the dose requirement to maintain the same image quality as a standard X-ray. We propose the use of super-resolution methods for X-ray grating interferometry without an analyzer, with detectors that fail to meet the Nyquist sampling rate needed for traditional image recovery algorithms. Detector phase- steps are used to nominally recover the sampling and iteratively recover the visibility and the …

Recent Wetland Elevation Dynamics In Coastal Louisiana, Usa, Elizabeth Harris

LSU Master's Theses

Coastal marshes globally are increasingly vulnerable to accelerating relative sea-level rise (RSLR), which threatens their capacity to maintain elevation through feedbacks among sediment supply, vegetation productivity, hydrology, and soil processes. Although many marshes can persist under moderate rates of sea-level rise through vertical accretion and belowground biomass production, this resilience is strongly constrained by sediment availability and subsurface processes such as autocompaction and organic matter decomposition. High accretion is often assumed to confer marsh resilience; however, subsurface processes, particularly autocompaction driven by surface loading, can substantially offset elevation gains. Coastal Louisiana experiences among the highest rates of RSLR worldwide due …

Setbacks And Stigmas: The Career Consequences Of Mental Health Treatment For Soldiers In Combat Roles, Micah Mark Marchand

LSU Master's Theses

This study examines how potential career consequences, perceived stigma, and confidentiality concerns influence mental health help-seeking among United States Army Soldiers, with particular attention to differences across Military Occupational Specialty (MOS) categories. Despite the availability of behavioral health services, many service members delay or avoid treatment due to fears that seeking care may negatively impact their careers, including risks to promotion, deployment eligibility, and retention. Guided by Systems Theory, this research explores how interconnected military structures, policies, and cultural norms shape these perceptions and behaviors.

Using a confidential survey design, data were collected from current service members and recently separated …

Public Understanding Of Ai-Enabled Cyber Threats And Its Impact On Cybersecurity Governance In The United States, Charlotte M. Barbrick

LSU Master's Theses

Artificial intelligence is spreading quickly in workplaces and everyday life, and that fast growth is creating cybersecurity and privacy risks that current laws and organizational practices do not fully address. This thesis asks whether AI-specific knowledge shapes public support for cybersecurity governance of AI-enabled systems in the United States. Using nationally representative survey data from the Pew Research Center’s American Trends Panel (ATP) Wave 119, fielded December 12--18, 2022, I estimate weighted regression models to test how objective AI knowledge shapes support for cybersecurity governance. I also test whether concern about data misuse helps explain that relationship and whether AI …

Exploring Perspectives Of Autistic Individuals And Caregivers On Autism Inclusive Services In Public Libraries, Ayva J. Rose

LSU Master's Theses

Public libraries are increasingly recognized as important community hubs designed to promote literacy, learning, language, family engagement, and inclusivity. Despite this, autistic individuals may experience language, literacy, sensory, and social differences that could impact their ability to participate in literacy-based programming in libraries. Librarians currently report a desire to provide services that not only include but meaningfully support autistic children in their families; however, little research has examined how key stakeholders within the autism community perceive autism-inclusive programming within libraries. This research seeks to explore these perspectives and identify (1) perceived barriers to attending children’s library programs, (2) accommodations and …

Implantable, Sensor-Embedded Vascular Graft Towards Wireless Monitoring Of Stenosis, Nnamdi Dike

LSU Master's Theses

Arteriovenous (AV) grafts are commonly used to provide vascular access for hemodialysis in patients with end-stage renal disease. Despite their widespread use, AV grafts are prone to complications such as stenosis and thrombosis. Early detection of these conditions remains challenging with current monitoring methods too costly or insufficient. This work presents the design, fabrication, and validation of an LC pressure sensor embedded within a model AV graft to enable real-time monitoring. The proposed system integrates a parallel-plate capacitive pressure sensor with a spiral inductor to form an LC circuit embedded within an elastomeric graft wall. The Ecoflex 00-30 dielectric layer …

Movable Bed Physical Model Investigation Of Bed Level Changes Caused By River Sediment Diversions, Hayden Cole Franklin

LSU Master's Theses

Since 1932, due to human and natural processes, over 2,000 square miles of Louisiana’s coast have been lost. River sediment diversions have been proposed as sustainable options to combat land loss. These projects, like the proposed Mid-Barataria Sediment Diversion, are designed to deliver sediment-rich Mississippi River water into nearby bays and estuaries, helping build and maintain land. However, river sediment diversions may alter river hydraulics and sediment transport, potentially inducing upstream degradation and downstream aggradation. Using the Lower Mississippi River Physical Model (LMRPM), this study quantitatively analyzed bed level changes as well as hydraulic conditions associated with the proposed Mid-Barataria …

Machine Learning Based Models For Simulation And Analysis Of Bulk Earth Melt System, Abin Shakya

LSU Doctoral Dissertations

Understanding the segregation of bulk Earth melt systems into metallic (core) and silicate (mantle) phases under high-pressure and high-temperature conditions is central to modeling Earth’s interior, yet relevant experimental and computational studies remain limited. This work develops a machine learning–based simulation pipeline that iteratively couples first-principles (quantum mechanical) calculations with neural network training to generate high-fidelity force fields. Using major-element Fe–Mg–Si–O melt systems, with and without H and N, as testbeds, we demonstrate that this framework enables large-scale molecular dynamics simulations at near first-principles accuracy. We further introduce a sequence of phase identification methods, progressing from statistical binning of elemental …

Gas Lift Valve Operation Under Elevated Pressure And Temperature Conditions, Pedro O. De Melo Flores

LSU Master's Theses

Gas lift valves are critical components in artificial lift systems, and their performance directly influences well unloading efficiency and long-term production. Current industry models used to correct valve opening and closing pressure for temperature rely on assumptions that have not been extensively validated against experimental data. This study experimentally investigates the opening and closing behavior of injection pressure-operated (IPO) gas lift valves under controlled elevated-temperature conditions. A load rate test bench was modified to include a heating system capable of maintaining valve temperatures up to 220°F. Five gas lift valve designs from multiple manufacturers were tested over a range of …

In The Realm Of Dreams: The Feminine Imagination In Music, Katie Scarlett Ellender

LSU Doctoral Dissertations

This project examines selected works by Clara Schumann, Rebecca Clarke, and Lili Boulanger that contain representations of night, dream, and mythology. These composers were influenced by the prevailing artistic movements during their lives, including German Romanticism, Impressionism, and Symbolism, which emphasized nocturnal landscapes, supernatural beings, and liminal states. Descriptive analysis and performance recommendations are provided for selected Lieder by Clara Schumann, Rebecca Clarke’s Morpheus, and Lili Boulanger’s Nocturne. Particular emphasis is given to how each composer uses night, dream, and myth imagery as expressive frameworks that inform decisions on harmonic language, level of cadential resolution, motivic repetition and transformation, texture, …

A Pretraining-Based Framework For On-Device Training Of Imu-Based Locomotion Mode Detection For Wearable Active Exoskeletons, Muhammad Tahir Khan

LSU Master's Theses

Active exoskeletons are being developed to support human movement in physically demanding industries such as construction. For these systems to work effectively, they must be able to correctly identify the user’s current activity. This process is known as locomotion mode detection and plays an important role in selecting the appropriate control parameters for exoskeletons. Many existing approaches use inertial measurement units (IMUs) to recognize these activities and have shown strong performance. However, most of these methods depend on large amounts of labeled data collected under specific conditions. As a result, they often do not perform well when applied to new …