PhD Candidate • Mechanical Engineering • University of Victoria

Advancing Intelligent Stormwater Systems

Fuzzy Analysis • AI Hydrology • Green Infrastructure

Hello, I'm Zhonghao Zhang. I am a Ph.D. Candidate in Mechanical Engineering at the University of Victoria, supervised by Professor Caterina Valeo, working on solving critical urban flood challenges through innovation. My research integrates Fuzzy Entropy and AI-driven Real-time Forecasting to empower decision-makers with robust, climate-adaptive Green Infrastructure solutions.

Zhonghao Zhang Portrait
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. 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

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