The SMM group at IOMAC 2025 – Advancing Structural Dynamics and Monitoring
The Chair of Structural Mechanics and Monitoring (ETH Zurich) is proud to take part in the 11th International Operational Modal Analysis Conference (IOMAC 2025), held from May 20–23 in Rennes, France. With contributions ranging from keynote talks to special session organization and technical presentations, our group continues to lead research at the intersection of structural dynamics, monitoring, and physics-informed AI.
IOMAC is a leading international forum for developments in Operational Modal Analysis (OMA), bringing together academic and industry experts to explore advances in dynamic testing and structural monitoring. This year’s edition in Rennes, France, highlights the evolving role of OMA in the era of digitalization and intelligent infrastructure systems.
The Chair of Structural Mechanics and Monitoring is contributing to the conference through the following activities by current, affiliate and former members of the group:
🔹 Keynote Lecture
Prof. Eleni Chatzi will deliver a keynote on "Structural dynamics as a principal pillar to AI-enhanced digital twinning", emphasizing the role of physics-based methods in enabling interpretable and trustworthy digital representations of infrastructure.
🔹 Special Session Organization
Our group is co-organizing three special sessions on current topics at the interface of monitoring and intelligent modeling:
S2 – Monitoring for railway infrastructure: technologies and methods
(Ch. Stoura, E. Chatzi, V. Dertimanis, ETH Zurich; P. Chiariotti, Politecnico di Milano)S9 – Physics-enhanced learning for structural health monitoring tasks
(K. Vlachas, M. Haywood-Alexand, K. Agathos, University of Exeter)S11 – Bayesian filters for identification and infrastructure monitoring
(S. Greś, Aalborg University; K. Tatsis, SDSC; S. Sen, IIT Mandi; L. Mevel, Inria)
🔹 Technical Presentations by our Group
V. Panagiotopoulou will present work on "Damage Identification in Rotary Shafts via Vibration Monitoring and Physics-Informed Neural Networks" (Wednesday, May 21 at 10:40).
S. Bogoevska will speak on "Robust data-driven health monitoring of full-scale concrete dam structures via stochastic ML schemes" (Wednesday, May 21 at 12:00).
We look forward to a productive exchange of ideas and are excited to contribute to the advancement of data-informed, physics-based monitoring methods that support the resilience and sustainability of engineering systems.
🔗 Learn more about IOMAC 2025: external page iomac2025.com