Eleni Chatzi

ETH Zurich

Papers

1

Total Citations

2

H-Index

1

About

Eleni Chatzi is a leading researcher in structural health monitoring (SHM), structural dynamics, and intelligent sensing systems, with particular expertise in bridging advanced computational methods with real-world engineering applications. Based at ETH Zürich, she has made pioneering contributions to the field of Population-Based Structural Health Monitoring (PBSHM), a paradigm that enhances monitoring capabilities by leveraging data across entire populations of structures rather than individual assets. Her work on robotic mobile sensing represents a significant methodological advance, addressing long-standing challenges in uncertainty quantification, algorithm development, and field validation for modal identification across bridge networks. Chatzi's research is distinguished by its full-cycle approach — from theoretical foundations through hardware realization to real-world deployment — making her contributions immediately relevant to practicing engineers and infrastructure managers. Her integration of robotics with SHM frameworks reflects a forward-looking vision for autonomous, scalable infrastructure monitoring. Though her most recent work is still accumulating citations, the interdisciplinary depth of her research — spanning civil engineering, mechanical systems, and data science — has positioned her as an influential voice in next-generation smart infrastructure. Her scholarship is essential reading for anyone working at the intersection of structural engineering and intelligent monitoring systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Robotic mobile sensing for robust modal identification across a population of bridges: Uncertainty analysis, algorithm development, hardware realization, and field validation
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: ETH Zurich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago