معرفی
Zhong Li is an Associate Professor in the Department of Civil Engineering at McMaster University, specializing in water resources systems, environmental modeling, and machine learning applications. His research focuses on integrating advanced computational techniques with hydrological processes to address climate change impacts, infrastructure resilience, and water quality management.
- Key research areas include hydrological modeling under uncertainty, wastewater treatment optimization, and AI-driven environmental systems
- Develops hybrid models combining machine learning with physical/ontological frameworks for improved predictive accuracy
- Recipient of the 2025 University Scholar award at McMaster for mid-career research leadership
Recent publications demonstrate expertise in global flood forecasting, membrane fouling prediction, SARS-CoV-2 wastewater surveillance, and climate change adaptation strategies. His work spans water treatment plants, Canadian river systems, and transboundary environmental challenges.
Scientific Awards:
- University Scholar 2025 (McMaster University)
Teaching responsibilities include courses in environmental engineering, water resources systems design, and specialized civil engineering studies. Collaborates extensively with interdisciplinary teams on infrastructure safety and sustainability projects.
