PhD theses

• Chan, Jianpeng, Adaptive Monte Carlo methods for network reliability assessment, 2024
• Kryda, Marco Julian, Assessing the Environment Perception Reliability of Automated Vehicles, 2023
• Kamariotis, Antonios, Decision support with health monitoring for deteriorating engineering systems, 2023
• Sebastian Geyer, Structural reliability analysis accounting for spatial variability and measurements, 2023
• Ehre, Maximilian, Uncertainty quantification and separation with high-dimensional engineering models, 2022
• Elizabeth bismut, Optimal heuristic strategies for risk- and reliability-based inspection and maintenance planning, 2022
• Luque Jimenez, Jesus Humberto, Risk-based optimal inspection strategy of structural systems using dynamic Bayesian networks, 2022
• Uribe-Castillo, Felipe, Bayesian analysis and rare event simulation of random fields, 2020
• Schneider R: Time-variant reliability of deteriorating structural systems conditional on inspection and monitoring data, 2019.
• Scherb A. F.: Quantifying the reliability and component importance of infrastructure networks subject to natural hazards, 2019.
• Berk M.: Safety Assessment of Environment Perception in Automated Driving Vehicles, 2019.
• Dittes B.: Long-term planning for flood protection infrastructure in an uncertain climate, 2018.
• Betz W.: Bayesian inference of engineering models, 2017.
• Yuan J.: Time-dependent Probabilistic Assessment of Rainfall-induced Slope Failure, 2016.
• Zwirglmaier K.: Reliability analysis with Bayesian networks, 2016.
• Papakosta P.: Bayesian network models for wildfire risk estimation in the Mediterranean basin, 2015.
• Sättele M.: Quantifying the Reliability and effectiveness of Early Warning Systems for Natural Hazards, 2015.
• Altamura A.: Reliability of structural components under variable amplitude high cycle fatigue, 2013.