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Professor Daniel Straub focuses on engineering risk analysis and reliability of engineering systems, integrating probabilistic modeling with data analysis and decision theory. His core research interest involves utilizing dynamic information, such as sensors within monitoring systems, to enhance risk assessment practices. He develops algorithms to analyze rare extreme events and evaluate the informational value of monitoring systems. His work extends to managing risk and reliability in complex autonomous systems, and includes applications in structural design assessment, offshore marine engineering, geotechnical engineering, natural hazards, and automotive aerospace. Straub obtained his diploma in 2000 and doctorate in 2004 from ETH Zurich, followed by tenure at UC Berkeley before joining the Technical University of Munich in 2008. He is also an honorary professor at the University of Aberdeen in the UK, frequently contributing as a keynote speaker at major conferences.
Technical University of Munich • Munich, Germany
Develops and teaches courses in risk and reliability analysis of engineering systems.