This web site provides information on current research from Professor Leonardo Dueñas-Osorio’s group at Rice University, as well opportunities for undergraduate, graduate, and post-doctoral students to apply and join the team (find more about research opportunities here ).
Professor Dueñas-Osorio’s research focuses on computational and theoretical models for structure and infrastructure system reliability 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, development of robust topologies for networked systems, design of lifeline systems using reliability-based methods, evaluation of bridge system and bridge network reliability, and prediction of wind turbine long-term availability.
Risk of wind-induced roof damage for Harris County, Texas
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, and the evacuation behavior characterization of risk-averse Houston citizens under hurricane hazards.
Leonardo Duenas-Osorio is an Associate Professor of Civil and Environmental Engineering at Rice University. He obtained his Master degree from the Massachusetts Institute of Technology in 2001, and Ph.D. from the Georgia Institute of Technology in 2005, both in Civil and Environmental Engineering. He received the Science Applications International Corporation (SAIC) award in 2005 for the paper entitled “Interdependent Response of Networked Systems”, the Best Ph.D. Thesis Award in Civil and Environmental Engineering from the Georgia Institute of Technology in 2006 for his work on interdependent infrastructure performance modeling and prediction, and the National Science Foundation (NSF) CAREER award in 2008 to investigate risk mitigation principles for smart utility systems.
Dr. Dueñas-Osorio joined Rice University as an Assistant Professor of the department of Civil and Environmental Engineering in July of 2006. He is an Associate Member of the American Society of Civil Engineers (ASCE), a Member of the Earthquake Engineering Research Institute (EERI), a Member of the American Wind Energy Association (AWEA), a Member of the Institute for Electric and Electronic Engineers (IEEE), and a Member of the Complex Systems Society (CSS). He is also a Member of the Joint Committee in Structural Safety (JCSS), the International Association of Structural Safety and Reliability (IASSAR), and the Civil Engineering Risk and Reliability Association (CERRA).
In the News
07/02/2013 Dr. Duenas-Osorio and Dr. Hulet win MURI awards
03/19/2013 Wired re-prints Simons Foundation article highlighting
the role of mathematical models to understand cascading failures across
networks; Duenas-Osorio’s research is featured.
03/18/2013 The Simons Foundation highlights recent research in science
and engineering on interacting networks, including Rice’s work on
09/22/2012 Dr. Duenas-Osorio’s group research on interdependent
infrastructure systems is featured as part of Science News cover story “When
06/06/2012 Houston unveils Storm Risk Calculator for 2012 hurricane
season; Duenas-Osorio’s group and collaborators discuss the tool.
03/29/2010 TCLEE investigates damage on lifeline systems after the 2010 Chile earthquake
01/21/2010 Civil engineering's Dueñas-Osorio to look at complex networks in next Scientia lecture
10/02/2008 Rice among nation’s top CAREER grant recipients
06/12/2008 Thirteen Faculty Initiatives Fund proposals awarded grants
03/19/2008 Dueñas-Osorio receives NSF award