Regular biography
Prof. Dr. Daniel Straub is a professor at the Technical University of Munich, Department of Civil Engineering. His research focuses on engineering risk analysis, including risk and reliability analysis of technical and anthropogenic systems, probabilistic modeling, and stochastic simulation methods. He develops modern risk assessment approaches by integrating probabilistic modeling, data analysis, decision theory, and artificial intelligence. His work addresses the use of dynamic information for risk assessment, managing risk and reliability of complex and autonomous systems, and applications in structural design, offshore engineering, geotechnical engineering, natural hazards, and automotive sectors. Straub received his diploma and doctorate from ETH Zurich and has held academic positions at UC Berkeley and TUM since 2008. He is also an Honorary Professor at the University of Aberdeen.
Scholar-generated biography
Daniel Straub is a researcher specializing in risk analysis, probabilistic modelling, engineering statistics, natural hazards, and structural reliability. His work focuses on developing advanced computational methods for assessing and managing risks in engineering systems. Straub's research includes Bayesian updating, Markov chain Monte Carlo (MCMC) algorithms, and dynamic Bayesian networks for modeling deterioration processes and seismic fragility. He also explores reliability updating, importance sampling, and value of information analysis to enhance decision-making under uncertainty. His publications address challenges in spatially variable soils, structural health monitoring, and risk-based inspection planning, emphasizing the integration of probabilistic models with real-world data.