Gordon Huang

Gordon Huang is an Adjunct Professor in the Civil Engineering department at McMaster University, specializing in environmental systems analysis and sustainable resource management. His research focuses on quantitative methods for addressing uncertainties in climate change, water-food-energy nexus planning, and contaminant remediation.

• Primary Affiliation: Civil Engineering, McMaster University

His work integrates advanced computational models like Bayesian neural networks, factorial optimization, and copula-based downscaling to analyze complex environmental interactions. Recent projects examine CO2 emission pathways, microplastic impacts, and climate-driven drought risks.

Key methodologies include stochastic programming, ecological network analysis, and machine learning for predictive modeling. Publications span topics from membrane technology for water treatment to large-scale hydropower socio-economic effects.

• Email: huangg31@mcmaster.ca