Master Theses
- Jose Alberto Rodriguez. Auction-Consensus Algorithms For Decentralized Task Allocation In Multi-Robot Systems. Master's Thesis, Electrical Engineering, May 2026.
- Fabian A. Hernandez. Learning Adaptive Control For Safe Collaborative Autonomous Driving. Master's Thesis, Computer Science, May 2026.
- Arturo González. Visit-Count-Based Complete Foraging Strategy For Robot Swarms. Master's Thesis, Computer Science, May 2026.
- Javier Becerril. Vision-Based Vibration Monitoring Of Civil Structural Damage Detection Using A Low-Cost Autonomous UAV. Master's Thesis, Computer Science, May 2026.
- Dario Hinojosa. Sub-Ghz Propagation Along Freight Trains For Wireless Onboard Communications. Master's Thesis, Electrical Engineering, May 2026.
- Darren Espinoza. Optimization Of Lightweight 3d-Printed Uav Structures Using Generative Design And Material Alternatives For Enhancing Payload Capacity. Master's Thesis, Mechanical Engineering, May 2026.
- Diego Cantu. Feature Extraction From Railroad Bearing Onboard Vibration Sensors Using Machine Learning Models. Master's Thesis, Mechanical Engineering, December 2025.
- Daniel Perez. Advanced Air Mobility: Feasibility Assessment for Metropolitan Logistics
and Commuting. Master's Thesis, Civil Engineering, University of Illinois Chicago, 2025.
- Louis Sungwoo Cho. Evaluating And Comparing Longitudinal Control Strategies For Autonomous Vehicles. Master's Thesis, Civil Engineering, University of Illinois Urbana-Champaign, 2025.
- Lindsey Salazar. Novel Equimolar Medium Entropy Alloy (Ti-W-Mo) Via Selective Laser Melting for High Temperature Applications. Master's Thesis, Engineering Management, University of Texas Rio Grande Valley, June 2024.
- Alan Urteaga. Advancements In Aerial Vehicle Platforms: A Guide For Design, Validation, And Implementation Of 3d Printed Drones. Master’s Thesis, Mechanical Engineering, University of Texas Rio Grande Valley, Edinburg, TX, August 2024.
- Kevin Quaye. Feature Extraction From Vibration Signature Acquired From Railroad Bearing Onboard Condition Monitoring Sensor Modules. Master’s Thesis, Mechanical Engineering, University of Texas Rio Grande Valley, Edinburg, TX, August 2024.
- Joshua A. Ontiveros. Natural Language Processing For Automated Sysml Diagram Generation. Master’s Thesis, Mechanical Engineering, University of Texas Rio Grande Valley, Edinburg, TX, August 2024.
- Timothy M. Jude Lyons. Bridging Human Emotion And Autonomous Vehicle Control: Reinforcement Learning Enhancements In The Carla Simulator. Master’s Thesis, Mechanical Engineering, University of Texas Rio Grande Valley, Edinburg, TX, August 2024.
- Rodrigo J. Gonzalez Salinas. Personalized Driving Using Inverse Reinforcement Learning. Master’s Thesis, Mechanical Engineering, University of Texas Rio Grande Valley, Edinburg, TX, May 2024.
- Oscar G. De Leon Vazquez. Human-Centric Smart Cities: A Digital Twin-Oriented Design Of Interactive Autonomous Vehicles. Master’s Thesis, Mechanical Engineering, University of Texas Rio Grande Valley, Edinburg, TX, December 2023.
- Sergio M. Martinez. Vibration-Based Machine Learning Models For Condition Monitoring Of Railroad Rolling Stock. Master’s Thesis, Mechanical Engineering, University of Texas Rio Grande Valley, Edinburg, TX, July 2023.
- Edgar A. Torres. Using Actor-Critic Reinforcement Learning For Control Of A Quadrotor Dynamics. Master’s Thesis, Mechanical Engineering, University of Texas Rio Grande Valley, Edinburg, TX, May 2023.
- Alberto Velazquez-Estrada. Near-Optimal Control Of A Quadcopter Using Reinforcement Learning.
- Randy Chapa. Safety-Aware Longitudinal and Lateral Control of Autonomous Vehicles. Master’s Thesis, Electrical and Computer Engineering, University of Texas Rio Grande Valley, Edinburg, TX, December 2022.
- Leonel Villafranca. Predicting the Remaining Service Life of Railroad Bearings: Leveraging Machine Learning and Onboard Sensor Data. Master’s Thesis, Mechanical Engineering, University of Texas Rio Grande Valley, Edinburg, TX, July 2022.
Doctoral Dissertations
