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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.

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.

Our research team from the Future Resilient Systems (FRS) programme at the Singapore-ETH Centre (SEC) conducted a successful pilot test in collaboration with the BE-FIT project under the Future Health Technologies (FHT) programme. The test marks a significant step toward understanding built environment factors affecting mobility.

This new survey paper, led by Hao Dong, explores the evolving landscape of multimodal adaptation and generalization, bridging traditional techniques with the power of foundation models.

The Chair of Structural Mechanics and Monitoring at ETH Zurich was well represented at IMAC 2025, held in Orlando, Florida. Our researchers and collaborators contributed to discussions on structural dynamics, uncertainty quantification, and vibration analysis, showcasing cutting-edge methodologies and novel applications.

Gregory Duthé offered an input talk on use of Graph Neural Network methods for wind farm predictive modelling during the Applied Machine Learning Days (AMLD), in the Machine Learning for Science and Engineering session, organized by Olga Fink and Johannes Brandstetter.