Ed McBean

Ed McBean is a Professor at the University of Guelph, affiliated with the AI Affiliated Faculty and specializing in Water Resources Engineering. His research focuses on water supply security, municipal infrastructure integrity, risk assessment, statistical environmental data analysis, and solid waste management. He teaches graduate courses in risk assessment and undergraduate courses in hydrology and engineering design.

His work addresses challenges in urban water security, climate change impacts, and sustainable water treatment. Notable contributions include flood susceptibility mapping, AI-driven flood forecasting, and transboundary water cooperation frameworks. He has explored innovative solutions for water security in Indigenous communities and low-income regions, emphasizing low-tech filtration systems. His research also extends to environmental monitoring using passive samplers and wastewater-based surveillance for public health threats like avian influenza and SARS-CoV-2.

McBean’s interdisciplinary approach integrates machine learning, statistical modeling, and environmental engineering to address global challenges in water management and sustainability. His studies on rainfall patterns, urban evapotranspiration, and infrastructure resilience reflect his commitment to advancing both technical and policy-based solutions.