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John Quilty is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Waterloo, serving as the Sinnathamby Professor in Artificial Intelligence for Sustainable Solutions. His research addresses complexities in hydrological forecasting related to nonlinearity, multiscale change, and uncertainty in water resources. Prof. Quilty has developed innovative computational methods for input variable selection and uncertainty quantification, creating frameworks for multiscale stochastic forecasting that enhance forecast reliability. His research pursuits include leveraging AI and machine learning for greater computational efficiency, coupled models integrating various data sources, and establishing a unified framework to optimize urban water management against environmental changes. Before his current role, Prof. Quilty worked as a Research Associate at McGill University and previously served as a Water Meter Operations Engineer for the City of Ottawa.
McGill University • Montreal, Canada
Focused on new AI-based methods for hydrological forecasting.
City of Ottawa • Ottawa, Canada
Managed water consumption forecasting models and rate analysis for water, wastewater, and storm water systems.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.