Description of project: GridSAFE is a Cyber Simulation of Grid Attacks with AI Anomaly Detection
My role: Network Security Lead
Skills or knowledge gained: Log schema design, XGBoost/ML workflow, embedded/SCADA simulation, Azure/AWS tradeoffs
Link supporting documents: GridSAFE Design Document
Big picture contribution: GridSAFE is a safe, low-cost smart-grid cyber range that simulates meters, substations, and operator activity end-to-end—turning raw ICS/SCADA-style logs into ML-driven anomaly insights and a city-scale LED visualization operators can act on. It helps students and teams practice detection, triage, and response trade-offs (edge vs. cloud, latency, cost, energy) without touching real infrastructure.
