SMM News
Congratulations to Gregory Duthé for his successful PhD Defense
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.
EVACES IA Webinar Series with Prof. Eleni Chatzi
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.
Congratulations to Kiran Bacsa for his successful PhD Defense
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.
Arresting fatigue cracks in steel plates using prestressed bonded Fe-SMA strips
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)
Insights from DTE 2025 & AICOMAS 2025 in Paris
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.
Advancing Walkability Assessment: First Pilot Test of Robotic Sensing Platform at SEC
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.
Advances in Multimodal Adaptation and Generalization: A Comprehensive Survey
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 next stage in the revolution
Founded with a view to boosting the lifespan and reliability of wind turbines, the ETH spin-off RTDT is now improving the devices’ electricity production and performance – all with the help of an intelligent plaster for rotor blades.
SMM at IMAC 2025: Highlights from Our Contributions
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 at AMLD 2025
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.