Professor Dueñas-Osorio’s research focuses on computational and theoretical models for structure and infrastructure system reliability, resilience and risk assessment in the context of natural hazards, deterioration, and complex operation. Applications include the quantification of interdependencies across critical infrastructures systems, assessment of smart grid resilience, computational complexity analysis of algorithms, development of robust topologies for networked systems, design of lifeline systems using reliability-based optimization methods, evaluation of bridge system and bridge network reliability, and prediction of wind turbine long-term availability.

His team frequently interacts with statisticians, applied mathematicians, electrical engineers, computer scientists and political scientists to address fundamental infrastructure problems of practical importance. Current multidisciplinary collaborations in the context of infrastructure systems include the time-dependent reliability assessment of power systems at the distribution level, the coupling strength quantification across utility systems based on the 27 February 2010 Mw 8.8 offshore Maule, Chile earthquake, the topology assessment of water distribution networks for the city of Houston, the evacuation behavior characterization of risk-averse Houston citizens under hurricane hazards, the quantification of inter-dependencies in the space-time domain to characterize coupling of infrastructures systems during disruptions and restoration actions, and the development of efficient formulations to optimize the recovery of interdependent systems aimed to improve resilience and support decision making.