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 models 

•     Other interests include parallel computing, multi-objective optimization and the risk-based management of water and environmental systems 

•     Soft Computing advances and applications in environmental and water resources modelling 

•     Current modelling case studies involve various lumped parameter hydrologic models and distributed hydrologic models such as SWAT2000, MESH and WATFLOOD 

•     Simulation and forecasting of Great Lakes inflows and water levels 

•     Optimization of Great Lakes water management policies