Research Areas
Developing the next generation of intelligent water systems through advanced algorithmic frameworks.
Agentic SWMM
Developing agentic AI workflows that drive EPA SWMM end-to-end. Agent skills, the Model Context Protocol, and verification-first QA make every modelling run auditable and reproducible (Zhang & Valeo, 2026).
AI Hydrology & Real-time Prediction
I mainly implemented Fuzzy GPT for real-time prediction of peak flows, compared with traditional models, providing decision support.
Fuzzy Analysis Methods
Pioneering the application of Fuzzy Entropy to quantify uncertainty in hydrological modeling. This approach provides more robust insights for complex water systems.
Green Infrastructure Solutions
Optimizing Green Infrastructure (Sponge City) allocation. I create decision support frameworks that balance cost, resilience, and sustainability for urban flood management.
These ideas don't stay on paper. I ship them as open-source software. See the Projects page for the Agentic Hydrology Platform, SWMMCanada, Agentic MIKE+, and more.
Visualizing the Impact
