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Research at the SWIM lab focuses on multi-scale modeling and optimization of urban water infrastructure systems. We develop and integrate various computational methods, including reactive-transport modeling, data-driven modeling and machine-learning, mathematical optimization, and first-principles calculations, and apply them to understand the behavior of water infrastructure systems and support their safety, security, and resilience.

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