Hannover, July 28, 2025 — The Institute for Risk and Reliability at Leibniz University Hannover hosted the anticipated Humboldt Fellow Workshop 2025 welcoming leading researchers from around the globe for a full day of scholarly exchange, discussion, and collaboration.
The workshop began with opening remarks and a welcome coffee, setting the stage for a diverse program of presentations that spanned topics from deep learning and geotechnical engineering to structural health monitoring and probabilistic modeling.
The presenters and their contributions were as follows:
-
Prof. De-Cheng Feng (online) delivered the opening presentation.
-
Prof. Yongtao Bai (online) presented “Damage Mechanics Modeling for Predicting Fatigue Life of Steel Structures.”
-
Dr. Zhiqiang Wan shared insights on “Some Small but Possibly Interesting Ideas from Uncertainty Representation, Propagation to Updating.”
-
Dr. Kai Yao discussed “The Application of Soil Stabilization in Geotechnical Engineering.”
-
Prof. Vladik Kreinovich gave a talk titled “Spectacular Successes of Deep Learning: Why and What Next?”
-
Dr. Sifeng Bi explored “Data-driven Stochastic Model Updating with the Normalisation Flow: The 3rd Paradigm?”
-
Dr. Wei Shen presented on “Considering Loading Uncertainty in Discrete Truss Optimization.”
-
Dr. Marcos Valdebenito introduced “Beyond the Basics: Two Advanced Applications of the First-Order Reliability Method.”
-
Prof. Jianbing Chen addressed “Some Mathematical and Mechanical Challenges in the Full Probabilistic Quantification and Propagation of Uncertainties of Complex Systems.”
-
Dr. Christopher Lindley presented “On the Use of Active Learning for Efficient Acoustic Emission Sampling of Structures.”
-
Assistant Prof. Alice Cicirello concluded the academic program with her talk on “Dealing with Physics, Data and Knowledge Uncertainty in Structural Health Monitoring.”
