Design Under Uncertainty
    • Reliability analysis of complex systems using computational simulation models
    • Efficient and accurate reliability-based design optimization (RBDO) and robust design optimization (RDO) methods
    • Surrogate modeling for efficient reliability estimate
    • Reliability analysis of multidisciplinary systems
    • Design for resilience and failure recovery
    • Advanced statistical methods for uncertainty modeling
Uncertainty Quantification
    • Surrogate modeling
    • Bayesian calibration
    • Model verification and validation (V&V)
    • Bayesian Networks
Data Analytics for Health Diagnosis and Prognosis
    • Bayesian Networks learning
    • Diagnosis & Prognosis
    • Sensor network design
Applications
    • Uncertainty Quantification of Additive Manufacturing process
    • Multi-scale modeling and multi-level uncertainty propagation in additive manufacturing
    • Reliability analysis of hypersonic vehicle considering epistemic uncertainty
    • Reliability analysis and design optimization of hydrokinetic turbine blades