Research Areas
•    Advanced methods for environmental simulation model development and subsequent use in environmental decision-making•    Environmental simulation model calibration, optimization, sensitivity and uncertainty analysis, particularly methods for computationally expensive simulation modelsÂ
•    Other interests include parallel computing, multi-objective optimization and the risk-based management of water and environmental systemsÂ
•    Soft Computing advances and applications in environmental and water resources modellingÂ
•    Current modelling case studies involve various lumped parameter hydrologic models and distributed hydrologic models such as SWAT2000, MESH and WATFLOODÂ
•    Simulation and forecasting of Great Lakes inflows and water levelsÂ
•    Optimization of Great Lakes water management policies
