My research interests include groundwater modeling, inverse problems of parameter structure identification, and the development of methodologies and models for optimizing large-scale water resources systems.
I have been involved in the development of computer models for optimal operations of large-scale hydropower and water supply systems, such as the California Central Valley Project and the Metropolitan Water District of Southern California. The optimization models are based on mathematical programming techniques, such as Linear Programming, Nonlinear Programming and Dynamic Programming.
Another major component of my research is groundwater modeling and management, which includes the inverse problems of parameter structure identification and experimental design. Nonlinear parameter estimation procedures are developed for solving inverse problems. Parameter structure identification includes the determination of the optimum parameter dimension, its corresponding pattern and parameter values.
I am also involved in the development of methodologies for conjunctive use planning of surface water and groundwater for sustainable management of water resources in the semi-arid regions.