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Bryan Tolson started at the University of Waterloo in 2005 and was promoted to Professor in 2020. His research interests encompass field environmental water resources systems analysis, the development and testing of heuristic algorithms for efficient single and multiple-objective optimization, and uncertainty estimation through risk-based probabilistic assessments of environmental water resources systems. His work has applied a variety of application areas, including hydrologic model calibration, water distribution network calibration, and optimal design for Great Lakes water level management. His research interests also include hydrological modelling, model calibration, optimization, multi-objective optimization, water resources planning and management, lake-river routing networks, machine learning in hydrological modelling, flood forecasting, environmental and water resources, environmental simulation model development, and environmental decision-making. He has been engaged in parallel computing research to enhance the efficiency and effectiveness of these systems.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.