Resilience curves are used to communicate quantitative and qualitative aspects of system
behavior and resilience to stakeholders of critical infrastructure. Generally, these curves …

When encountering crisis events, systems, organizations, and people must react and handle
these unpredictable events. Under these circumstances, important social functions and …

This text offers comprehensive and principled, yet practical, guidelines to critical
infrastructures resilience. Extreme events and stresses, including those that may be …

Infrastructure resilience for a scenario can be assessed quantitatively from resilience curves
that plot the evolution of system performance. Summary metrics map these curves to a single …

Climate change and projected rises in sea level will pose increasing flood risks to coastal
cities and infrastructure. This thesis proposes a general framework of engineering resilience …

Algorithmic approaches to learning problems are essentially about discerning order within
seemingly random datasets. The theoretical exploration of such algorithms seeks to …

We propose a new model for the study of resilience of coevolving multiplex scale-free
networks. Our network model, called preferential interdependent networks, is a novel …

We propose a new model for the study of resilience of coevolving multiplex scale-free
networks. Our network model, called preferential interdependent networks, is a novel …

Natural disasters are increasingly costly to society as they disrupt basic infrastructure
functions. Infrastructure managers face challenges from growing urbanization, climate …

Infrastructure resilience considers how systems prepare for, respond to, and recover from
disruptions. Within this broad topic, analytical interests and techniques vary; scenario-based …