Research Description:

Scalable data analytics (graph & network theory) and machine learning techniques for spatial-temporal networks applied to dynamic processes in complex multiscale civil engineered infrastructure (e.g., water, energy); risk and resilience assessments in socio-technical systems for climate change and future challenges facing cities and society; integrating data-driven approaches with physics-based models to create digital twins of their physical counterparts.