PhD Candidate · University of Victoria
Advancing intelligent stormwater systems
Hello, I'm Zhonghao Zhang. I research urban flooding at the University of Victoria with Professor Caterina Valeo, combining fuzzy entropy and AI-driven real-time forecasting to design climate-adaptive green infrastructure. I also build the open-source, agent-driven software that puts these models in anyone's hands.
Fuzzy input vs. ChatGPT for peak flow
J. Hydrol. X · 2025
Spatially defined fuzzy entropy for flowrate
J. Hydrol. · 2025
With Prof. Caterina Valeo
St. John's · 2025
Philip H. Jones Award
CAWQ · 2025
Agentic SWMM Workflow
Open source · 2026
aiswmm runtime · EPA SWMM 5.2
Tool · 2026
SWMMCanada · draw & run
Live web app · 2026
Oral presentation · HS1.2.2 · May 2026
Google Scholar
Publications
Jun 2026: New paper "Agentic SWMM: Auditable and Reproducible Stormwater Modelling Workflow" published in AI for Engineering.
Mar 2026: A new preprint on an agentic and reproducible workflow for rapid stormwater modelling with OpenClaw is available on EarthArXiv.
Current: Submitting to EGU 26 Conference &
Attending.
Jan 2026: Paper "Information Loss Over Hillslope
Flowpaths and Scaling with Simple Runoff Models" submitted to Water Resources
Research.
Jan 2026: New Paper "Quantifying uncertainty in flowrate
modelling using spatially defined fuzzy entropy based on hydrological processes in a catchment"
published.
Nov 2025: Paper "Fuzzy-based input method for uncertainty
quantification in a deterministic model comparison with ChatGPT for peak flow prediction"
published in Journal of Hydrology X.
Jul 2025: Awarded Philip H. Jones Award for Best Young
Water Professional.
Jun 2026: New paper "Agentic SWMM: Auditable and Reproducible Stormwater Modelling Workflow" published in AI for Engineering.
Mar 2026: A new preprint on an agentic and reproducible workflow for rapid stormwater modelling with OpenClaw is available on EarthArXiv.
Current: Submitting to EGU 26 Conference &
Attending.
Jan 2026: Paper "Information Loss Over Hillslope
Flowpaths and Scaling with Simple Runoff Models" submitted to Water Resources
Research.
Jan 2026: New Paper "Quantifying uncertainty in flowrate
modelling using spatially defined fuzzy entropy based on hydrological processes in a catchment"
published.
Nov 2025: Paper "Fuzzy-based input method for uncertainty
quantification in a deterministic model comparison with ChatGPT for peak flow prediction"
published in Journal of Hydrology X.
Jul 2025: Awarded Philip H. Jones Award for Best Young
Water Professional.
4+
Years Research
10+
Publications
20+
Citations
3
Awards
5+
Open-source Tools
Explore
Biography
Academic background and education at UVic and Memorial University of
Newfoundland.
Research
AI hydrology, fuzzy analysis methods, green infrastructure decision support,
and real-time flood prediction.
Publications
Peer-reviewed work in Journal of Hydrology, Water Resources Research, and
more.
Projects
Agent-driven, open-source software: the Agentic Hydrology Platform,
SWMMCanada, Agentic MIKE+, and an LSTM streamflow engine.
News
Conference presentations, awards, and project milestones.
Contact
For research collaborations and academic inquiries.
