SWIM Lab

Research at the SWIM lab focuses on multi-scale modeling and optimization of urban water infrastructure systems. We develop various computational tools, including reactive-transport water quality models, data-driven/machine-learning tools, and mathematical optimization algorithms, and apply them to understand the behavior of water infrastructure systems and support their operations. Our current and past research projects have primarily focused on modeling and optimization of drinking water distribution networks. This included:

• Developing a fundamental understanding of the fate and transport of different species of interest in the distribution system.
• Leveraging big data into tracking the spatiotemporal evolution of water quality parameters and informing asset management decisions.
• Mining online sensing data for the real-time identification of threats and contamination episodes.