Faculty in Duke's Risk & Resilient Systems group focus on finding new and better ways to model, estimate and quantify the dynamics, uncertainty and risks prevalent in diverse engineered and natural systems—with the ultimate goals of reducing risk, informing decisions and developing more resilient systems.
Our research methods include dynamic systems analysis, numerical modeling, uncertainty quantification and parallel computing. Our work has applications in diverse areas, such as environmental and population health; energy and climate systems; insurance risk assessment and financial engineering; and hazard mitigation and resilient infrastructure.
Research Areas
- Bayesian decision theory and environmental risk assessment
- Modeling, identification, and control for natural hazard mitigation
- Uncertainty quantification in computational mechanics
- Data analytics and numerical modeling
- System dynamics, nonlinear dynamics and optimization
- Engineering economics
- Resilience engineering and sustainability
MAJOR CENTERS & INITIATIVES
- Related Study Opportunities
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PhD and Master of Science (MS)
- Both offer a study track in Systems, Risk and Decision
Master of Engineering (MEng) in Risk Engineering
- Offers a concentration in Environmental Engineering & Public Policy
Master of Engineering (MEng) in Civil Engineering
- Offers a concentration in Systems Engineering and Optimization
Undergraduate Research