Water Infrastructure Laboratory

To advance multiphysics and multiphase flow prediction in natural and built water infrastructures, and to enable robust and efficient NexGen water infrastructure design, optimization, and retrofit.

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Our Research

(1) leverages the high-performance computing (HPC) and high-order numerical method to elucidate the underlying turbulence physics and physicochemical fate dynamics of particulate matter, pathogens, and chemicals in fluid systems; (2) develops and benchmarks a wide range of open-source computational fluid dynamics (CFD) tool for water infrastructure simulation, optimization, uncertainty quantification and vulnerability assessment; (3) integrates machine learning (ML) and CFD for robust and efficient water infrastructure optimization and retrofit, and create CFD-ML augmented frameworks for engineering practices and environmental regulations.