Engineering Risk Analysis Group
Optimize decisions in infrastructure systems & environment
We develop and utilize engineering reliability, risk & decision analysis methods to enhance optimal & sustainable decision making for civil systems and the environment.
Our goal is to do cutting edge research that leads to practical solutions that make a difference in the world. We are internationally active and collaborate with other leading research groups worldwide, while actively pursuing projects and contacts locally.
We are active in a number of research areas and in education. Please contact us if you have an interest in working with us.
Prof. Dr. Daniel Straub, Group leader
News & events
We have an open PhD position on PhD Position in Bridge Risk Assessment with Remote Sensing and Machine Learning. The announcement can be found here.
We organize a Workshop on Time-Variant Reliability Analysis under the auspices of the Joint Committee on Structural Safety, Dec. 2-3, 2024, at TUM. This is preceded by a half-day tutorial on the topic, intended for PhD students, researchers, and practitioners.
Three new Humboldt fellows in our group! Dr. Kai Cheng is developing and employing machine learning methods for data-informed structural reliability analysis, Prof. Xinyu Jia will work on a hierarchical Bayesian modeling framework and Dr. Dimitris Georgiadis will develop a probabilistic digital twin methodology for real-time risk-informed decision-making of ships under extreme events.
Prof. Daniel Straub is awarded the 2023 C. Allen Cornell Award of the Civil Engineering Risk and Reliability Association at the ICASP conference in Dublin. Every 4 years, this award "recognizes an individual for contributions made to the development of risk and reliability methods in civil engineering."
Prof. Elizabeth Qian of Georgia Tech will be a Hans Fischer Fellow of the TUM Institute of Advanced Studies in our group from 2023-26. We will jointly develop reduced models for reliability analysis.
Dr.-Ing. Max Ehre is awarded the first place in the 2023 Hochschulpreis des Bayerischen Bauindustrieverbandes e.V. in the category Computer-aided modelling and manufacturing for his dissertation titled Uncertainty quantification and separation with high-dimensional engineering models. Congratulations!
Luca Sardi is awarded the third place in the 2023 Hochschulpreis des Bayerischen Bauindustrieverbandes e.V. in the category Computer-aided modelling and manufacturing for his dissertation titled Bayesian filtering for joint state and parameter estimation of structural deterioration. Congratulations!
Antonis Kamariotis successfully defended his PhD thesis on Decision support with health monitoring for deteriorating engineering systems. Congratulations!
Sebastian Geyer successfully defended his PhD thesis on Structural reliability analysis accounting for spatial variability and measurements. Congratulations!