Risk and Reliability Research Group 
Welcome!
We develop computational tools for uncertainty quantification, uncertianty propagation, and decision analysis in the field of civil engineering by working at the confluence of physics-based and data-driven modeling and simulation, information theory, stochastic calculus, optimization theory, and high-performance computing.
Our past and ongoing works — which are funded by NASA, NSF, USDOT, NIST, and the industry — are primarily centered around developing tools for multi-hazard resilience analysis of civil infrastructure objects and systems that are prone to extreme events such as earthquake, windstorm, and flood. Uncertainties are inevitable in predictions of the behavior of civil infrastructure during future extreme events. Both the hazards and parameters of predictive models of civil infrastructure are uncertain. Our efforts — with a broad goal of assessing and managing the associated risks — have focused on:
- Characterization and quantification of those uncertainties using appropriate statistical techniques
- Development of stochastic simulation tools for propagation of thus quantified uncertainties through the predictive models in estimating probabilities of damage
- Subsequent life-cycle cost-benefit and resilience analyses
Announcements
- Applications are solicited from motivated, prospective Ph.D. students to join the group. Applicants must have strong background in mathematics and programming. For consideration, please email detailed CV to Professor Sett