Academic Research
Exploring autonomous systems and advanced manufacturing.
AI Research Intern
Geospatial Research Laboratory
U.S. Army Engineer Research & Development Center (ERDC) | Arlington, VA
- • Designed and evaluated 5 distinct computer vision architectures—ranging from algorithmic edge density to deep learning foundation models—to successfully extract and validate structural terrain bottlenecks from high-resolution RGB satellite imagery.
- • Engineered a zero-shot geospatial segmentation workflow utilizing PyTorch and Ultralytics FastSAM, integrating K-Means clustering to dynamically classify semantic materials and drastically reduce false-positive obstacle detections.
- • Deployed containerized autonomous navigation systems utilizing Docker and ROS (Robot Operating System), integrating real-time LiDAR sensor arrays with a mobile driving robot to dynamically map and route through complex physical environments.
AI Graduate Researcher
Machine Learning Research Project
The University of Texas at El Paso (UTEP)
- • Implemented PyTorch-based CNN architecture for facial recognition with adversarial attack resistance, achieving 92% accuracy on benchmark datasets.
- • Developed custom data augmentation pipeline and feature extraction techniques to enhance model resilience against security vulnerabilities, training across 10,000+ samples.
Project Presentation Slides
Overview of CNN architecture and adversarial resistance. Download Slides PDF
Published Paper
Smart Autonomous Mobility Systems (SAMS) Lab
IEEE Flagship Autonomous Vehicle Conference, ITSC 2024
- • Published conference paper on security of Adaptive Cruise Control systems.
- • Developed data visualization tools using Python (matplotlib, pandas) to simulate and analyze complex vehicle platoon dynamics using Intelligent Driver Models.
- • Applied optimization techniques (CPLEX, MATLAB) to enhance vehicle performance, efficiency, and safety.
Undergraduate Summer Research Assistant
Additive Manufacturing Research
Missouri University of Science and Technology (MST)
As an Undergraduate Summer Research Assistant in the Department of Mechanical and Aerospace Engineering, I investigated advanced materials processing using the novel Laser Foil Printing (LFP) technique.
- • Active Cooling System: Developed and implemented a rapid cooling solution using Liquid Nitrogen (LIN) to achieve cooling rates of 500 – 3000 K/s, enabling the formation of amorphous structures (metallic glass).
- • Process Optimization: Engineered a combination of strategic printing pauses and LIN dispersion to rapidly cool metal foil layers without disrupting the dual-laser (CW IR & UV pulsed) welding process.
- • Material Analysis: Established effective testing methodologies to analyze 304L stainless steel samples through electron microscopy and thermocouple temperature readings, successfully demonstrating proof-of-concept for the system.
Symposium Presentation
Presented a research poster at the 2022 International Solid Freeform Fabrication Symposium in Austin, TX. Download Poster PPTX