Teaching
Supervised Theses
- Calibration of Expensive Computer Models Using Engineering Reliability Methods
- Efficient random set uncertainty quantification by means of advanced sampling techniques
- Learning from accidents: human errors, preventive design and risk mitigation
- Novel strategies to assess sparse data in human reliability analysis
- On Optimal Risk and Benefit Sharing in Engineering Projects.
- Reliability and Maintenance of Structures under Severe Uncertainty
- Robust Allocation of Decentralized Photovoltaic and Energy Storage Systems in a Power Grid under Uncertainty
- Robust and informed Deep Learning for bad data with applications in earthquake engineering
- Uncertainty Quantification and Risk Assessment Methods for Complex Systems subject to Natural Hazards
- Uncertainty modeling, propagation, and quantification techniques with applications in engineering dynamics