SMM News

A new hybrid modelling approach combining GNNs and physics-based ROMs offers a scalable solution for post-earthquake infrastructure assessment , demonstrate on the case study of Interconnected Electrical Equipment components.

In their Master thesis with our chair, Roman Dautzenberg and Timo Küster, demonstrate how uncrewed aerial systems can revolutionize infrastructure monitoring.

We are delighted to welcome two new doctoral candidates to the Chair of Structural Mechanics and Monitoring at ETH Zurich, who will contribute to ongoing research in wind energy systems and railway dynamics.

Each year, the Swiss Community for Computational Methods in Applied Sciences  awards the SWICCOMAS Prize for outstanding thesis dissertation.

At the forefront of AI-driven infrastructure innovation, Prof. Eleni Chatzi (ETH Zurich) delivered a keynote at the AI in AEC 2025 conference in Helsinki, highlighting the transformative role of physics-informed AI for monitoring and maintaining the built environment.

Gregory has successfully defended his PhD thesis. His research focuses on Geometric Deep Learning for Wind Energy, bridging the gap between computational modeling and turbine diagnostics to enhance the efficiency and longevity of wind farms.

Prof. Eleni Chatzi from ETH Zurich will present on the role of structural dynamics in learning, monitoring, and digital twinning as part of the ongoing EVACES IA Webinar Series.

Kiran Bacsa, a doctoral researcher at the Chair of Structural Mechanics and Monitoring at ETH Zurich and a member of the Future Resilient Systems (FRS) team at the Singapore-ETH Centre, has successfully defended his PhD thesis. His research focuses on Physics-Enhanced Machine Learning for Engineered Systems, with applications in infrastructure monitoring and digital twins.

New paper out, led by Lingzhen Li (Empa / SMM Group, ETH Zurich / Hong Kong Polytechnic University) in collaboration with Sizhe Wang (Empa / Nanyang Technological University), Tao Chen (Tongji University), Eleni Chatzi (SMM Group, ETH Zurich), Hossein Heydarinouri (Empa), and Elyas Ghafoori (Leibniz University Hannover)

The 3rd IACM Digital Twins in Engineering Conference (DTE 2025) and the 1st ECCOMAS Artificial Intelligence and Computational Methods in Applied Science (AICOMAS 2025) brought together experts at the forefront of AI-driven engineering and digital twinning. We were thrilled to actively contribute with keynote inputs and engage in discussions, exchange ideas, and explore cutting-edge advancements in the domain.