Selected Work
9 projects
P&ID Digitization
Scottish Water
Multi-stage computer vision pipeline to extract structured data from thousands of piping and instrumentation diagrams, enabling programmatic query of a legacy drawing library.
AI Culvert Detection
USGS 3D Hydrography Program
Deep learning model to automatically detect and classify culverts from aerial imagery and LiDAR derivatives, supporting national hydrography data modernization.
Post-Disaster Imagery Ontology
NVIDIA GTC / Internal R&D
Knowledge graph and ontology for post-disaster aerial imagery, enabling structured reasoning over damage classifications presented at NVIDIA GTC 2024.
Copper Mine InSAR Monitoring
Bagdad Copper Mine
Satellite InSAR time-series analysis to monitor ground deformation across an active open-pit copper mine, providing early warning signals for slope instability.
Refinery Oil Seep Detection
Marathon Petroleum — Lovell Refinery
Multispectral and thermal drone imagery analysis to detect subsurface hydrocarbon seeps around a petroleum refinery, reducing manual survey time significantly.
Dam Digital Twin
T. Howard Duckett Dam
Photogrammetry-based digital twin of a public water supply dam, combining drone imagery and LiDAR to create a high-resolution 3D model for structural monitoring.
LOR Compliance Checker
Florida DOT
LLM-powered document review system to automatically check transportation project reports against FDOT's letter of requirement specifications, cutting review time from days to minutes.
Coastal Storm Risk AI
Norfolk District — US Army Corps of Engineers
AI-assisted risk scoring framework integrating coastal flood models, satellite-derived inundation data, and socioeconomic layers to prioritize storm risk management investments.
State DOT AI Policy Framework
North Carolina DOT
AI governance framework and policy recommendations for a state transportation agency, covering procurement criteria, risk tiers, and evaluation protocols for AI tools.