Identifiability, Observability, Parameter Reduction, And State Estimation For Nonsmooth Dynamical Systems, Hesham Abdelfattah, Peter Stechlinski, Sameh Eisa

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Dynamics-Informed Subset Selection For Nonlinear System Identification, Max Herkersdorf

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Morphquad: Morphable Quadrotor For Superhuman Maneuverability, Manipulation, And Resiliency, José Díaz Peón González Pacheco, Jiawei Xu Dr., Andrew Zhao, Hongyu Zhou, Atharva Navsalkar, Andrew Scheffer, Amrith Malli Reddi, Sashreek Shankar, Yuqing Ivan Bao, Vasileios Tzoumas Dr.

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Modular Learning‑Based Control Frameworks For Efficient Mobilit, Sidra Bhatti, Qadeer Ahmed

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

The General Polyak-Lojasiewicz Inequality And Its Connection To Neural Network Training, Arthur Castello B. De Oliveira, Eduardo Sontag

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Towards Adaptive Driver Training: Online Estimation Of Dual-Task Performance Model Parameters, Aleksandra Dudek, Patrick Linford, Zihan Yu, Scott James, Matthew Castanier, Chris Vermillion, Kira Barton

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Autonomy For Lunar Surface Infrastructure Construction, John Cooper, Irina Kostitsyna, Olivia Irene B. Formoso, Dominic Bisio, Joshua N. Moser, Matthew P. Vaughan, Joshua N. Moser, Matthew K. Mahlin

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Robust Mpc Design For Leaky-Integrator Echo State Networks, Hao Deng, Cristina Stoica, Daniel Ossmann, Mohammed Chadli

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Adaptive Dae Observer For Joint State And Parameter Estimation In Parallel-Connected Li-Ion Batteries With Experimental Validation, Jorge E. Espin, Dong Zhang

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Planar Juggling Of A Devil-Stick Using Discrete Vhcs, Aakash Khandelwal, Ranjan Mukherjee

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.

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.

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.

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.

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.

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 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.

Yoga And Young Children, Jayapriya Ranganathan, Cynthia F Dicarlo

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

Abstract:

This article examines the role of yoga as an effective pedagogical tool to support social-emotional learning (SEL) and physical development in early childhood education settings. Grounded in current understandings of mindfulness and executive functioning, the integration of yoga practices—such as breathing exercises, meditation, and developmentally appropriate postures—can promote self-regulation, attention, and emotional resilience in young children. Drawing on classroom-based observations from a toddler program, the article outlines practical strategies for incorporating yoga into daily routines, emphasizing accessibility, consistency, and engagement through imaginative play and storytelling. The findings suggest that regular yoga practice fosters a calm, focused learning environment and …