SMM News
Celebrating Three Successful Doctoral Defenses at SMM
We warmly congratulate Karin Yu, Abbas Jafari, and Ali Jafarabadi on successfully defending their doctoral theses at ETH Zürich! Their research spans interpretable structural modeling, uncertainty-aware computational mechanics, and innovative structural connections, reflecting the breadth of research pursued at the Chair of Structural Mechanics and Monitoring and the value of interdisciplinary collaboration.
SMM welcomes visiting researchers and a new postdoctoral fellow for autumn 2026
The Chair of Structural Mechanics and Monitoring at ETH Zurich welcomes seven visiting researchers and a new postdoctoral fellow this autumn. Their research spans structural health monitoring, digital twins and advanced sensing, with applications in wind energy and transport infrastructure.
SMM at EURODYN 2026 in Hannover
The Chair of Structural Mechanics and Monitoring is participating in EURODYN 2026 in Hannover, Germany, with three contributions to the minisymposium System Identification and Damage Detection.
MMDG-Bench Accepted at NeurIPS 2026
Our new benchmark study on multimodal domain generalization has been accepted at NeurIPS 2026, offering a systematic testbed for assessing progress in multimodal learning under realistic conditions.
Self-supervised learning for robust structural damage identification
Our new study, in collaboration with Kistler, introduces a label-free self-supervised learning framework that distinguishes damage-related changes in structural vibrations from variations caused by changing operational and environmental conditions.
Welcome to our new members
The Chair of Structural Mechanics and Monitoring is pleased to welcome five doctoral researchers and two postdoctoral researchers. Their work spans structural health monitoring, digital twins, scientific machine learning, reduced-order modelling, and computational materials science.
SMM at ISMA2026 in Leuven
Members of the Chair of Structural Mechanics and Monitoring and their collaborators are presenting contributions at ISMA2026 this week, spanning structural health monitoring, wind energy, fatigue assessment, graph-based learning and reduced-order modelling.
New Publication on Utility-Driven Model Selection for Digital Twins
A new study by Konstantinos Vlachas, Antonios Kamariotis and Eleni Chatzi introduces an adaptive framework that enables structural digital twins to select the most suitable computational model according to evolving operational requirements.
PHLieNet: Hypernetwork-Based Forecasting
Led by Pantelis Vlachas, in collaboration with Konstantinos Vlachas and Eleni Chatzi, this work forming part of the TURING Horizon project, presents a new hypernetwork-based approach for adaptive and generalisable forecasting in complex parametric dynamical systems.
Survey on Unsupervised Vision–Language Model Adaptation Accepted in IJCV
A comprehensive survey co-authored by Hao Dong, a member of the Chair of Structural Mechanics and Monitoring at ETHZ and the IMOS Lab at EPFL, has been accepted for publication in the International Journal of Computer Vision. The work introduces a unified taxonomy of methods for adapting vision–language models without labelled data.