Dqn-Based Event-Triggered Control Over Unreliable Channels, Zahra Hashemi, Dipankar Maity

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Unbalancing Second-Life Battery Pack With Bidirectional Dc/Dc Converter For Extending Life, Zhicheng Xu, Yuichi Kajiura, Wonoo Choo, Jorge Espin, Dong Zhang

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Co-Design And Optimal Control Of A 2d Tendon-Driven Continuum Leg For Fast And Energy-Efficient Motion, Setayesh Yavari, Faith O. Olawoyin, David A. Emerson, Hunter B. Gilbert

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

System Identification For An Impedance-Controlled Exoskeleton, Mason D. Mathias, Chad G. Rose, Rhet O. Hailey

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Rumor Propagation And Regulation: A Graphon Game Approach With Stackelberg Control, Huaning Liu, Gokce Dayanikli

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

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.

Modal Supervisory Coordination Of Power Source Transitions In Data Centers Via Lingua Franca And Simulink Co-Simulation, Md Rubel Ahmed, Md Kibria Saroare

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.

A Multi-Scale Hierarchical Framework For Long-Horizon Sequential Robotic Manipulation, Mahdi Bonyani, Maryam Soleymani, Chao Wang Phd

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Anticipatory Exoskeleton Control In Low-Illumination Via Multi-Stream Spatial-Temporal Graph Convolutional Networks, Maryam Soleymani, Mahdi Bonyani, Chao Wang Phd

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.

Multiagent Social Influence: Modeling Persuasion In Contested Social Networks, Renukanandan Tumu, Cristian Ioan Vasile, Victor Preciado, Rahul Mangharam

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.

The Statistical Distribution Of U.S. Corn And Soybean Futures Prices, Chiamaka D. Osigwe

LSU Master's Theses

This thesis investigates the best-fit empirical distribution for daily U.S. corn and soybean futures price changes and examines how distributional choices affect Value-at-Risk (VaR) and Expected Shortfall (ES) estimates. The dataset comprises daily nearby futures prices for corn (11/16/1994–04/23/2025) and soybeans (10/16/1979–02/15/2023), yielding 7,626 and 10,853 observations, respectively. An ARCH-LM test confirms the presence of Autoregressive Conditional Heteroskedasticity (ARCH). Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models were estimated, and to account for potential asymmetric effects, an EGARCH model was used. EGARCH (1,1) estimation reveals an inverse leverage effect, where positive price shocks generate higher volatility. Six heavy-tailed distributions were evaluated, and …

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 …

To Be Closer, Sarah Moschel Miller

LSU Master's Theses

to be closer explores the intersection of yearning and unease. This series of works uses the visual language of the body and its thresholds to explore how each of us builds interpersonal relationships and understandings of self. Pulling from abjection theory, the abject comes from the internal becoming external, the crossing of a bodily or personal threshold. My sculptures, vessels, and prints translate the visual language of the border of the body into a discussion of emotional ones. to be closer uses these corporeal thresholds and the language of the uncanny as vehicles to discuss the crossing of emotional …

Commissioning And Validation Of An Electron Treatment Planning System: Following Mppg.5.B Guidelines, Hailey N. Reaux

LSU Master's Theses

Purpose: The purpose of this work was to commission and validate the electron treatment planning system ElectronRT (eRT) (.decimal, Sanford, FL) for clinical use following the recommendations outlined in the American Association of Physicists in Medicine (AAPM) Medical Physics Practice Guideline (MPPG) 5.b (2022). The system’s ability to accurately calculate electron dose distributions was evaluated under normal and oblique beam incidence, varying field sizes and source-to-surface distances (SSDs), and irregular surface geometries.

Methods: The eRT beam model was configured using commissioning data from an Elekta Infinity linear accelerator at Mary Bird Perkins Cancer Center (MBPCC). Validation measurements were performed for …

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 …

The Effects Of Asymmetric Cervical Muscle Fatigue On Cervical Proprioception, Stepping, And Standing Postural Sway, Maryam Homafar

LSU Master's Theses

Background: The cervical spine contributes critically to proprioception and postural control through its dense mechanoreceptor population. The acute effects of asymmetrical cervical muscle fatigue on proprioception, gait, and balance remain understudied, especially considering its widespread occurrence in multiple populations.

Objective: To investigate the acute effects of asymmetrical cervical muscle fatigue on cervical proprioception, stepping ability, and standing postural sway in healthy young adults.

Methods: Eighteen of 25 healthy participants, who met the inclusion criterion of baseline cervical joint position error (CJPE) below 4.5° for left and right rotational directions, completed pre-fatigue and post-fatigue assessments with eyes closed, including CJPE test, …

Why Theory Matters In Infant And Toddler Practice: Unpacking Pikler, Gerber, Gesell, Piaget, & Vygotsky, Derrick Toups

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

This article is intended to help infant and toddler educators deepen the why behind the what and how of their daily interactions by unpacking and connecting the seminal early childhood theories of Pikler, Gerber, Gesell, Piaget, and Vygotsky, what they look like in the classroom, and why they benefit children.

Building Early Reading Foundations In Prekindergarten: Preparing Students For Kindergarten, Denise Rueter, Laura K. Simmons, Cynthia Dicarlo

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

Preparing children for the transition to kindergarten literacy instruction requires intentional support of foundational early reading skills in prekindergarten classrooms. At the same time, early childhood educators must balance explicit instruction with developmentally appropriate practices (DAP) that emphasize play, exploration, and child-centered learning. This article describes instructional practices that support the development of emergent reading skills, particularly letter recognition and phoneme identification, within prekindergarten settings. Drawing on research in early literacy development, the article outlines a small-group instructional routine that includes shared storybook reading with print referencing, phonemic awareness activities, and multi-sensory, play-based practice opportunities. Examples of center-based activities that …

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.