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.
On February 21, 2025, Kiran Bacsa successfully defended his PhD thesis, titled "Physics-Enhanced Machine Learning for Engineered Systems." His research bridges the gap between theoretical advancements in neural networks and practical applications in infrastructure monitoring, contributing to the development of digital twins for transport infrastructure. His work includes feature extraction techniques for structural health monitoring (SHM) and the design of AI-driven tools for large-scale assessment using mobile sensor data—such as vibration-based monitoring from vehicles, cycles, and robots.
Kiran’s thesis was supervised by Prof. Dr. Eleni Chatzi (ETH Zurich) and examined by a distinguished committee of experts in structural mechanics and monitoring:
- Prof. Dr. David S. Kammer
- Prof. Dr. Andreas Wieser
- Prof. Dr. Ivan Au
- Alice Cicirello
- Zhilu (Oscar) Lai
His research has led to the development of data-driven and physics-informed models for infrastructure condition assessment, including novel monitoring frameworks for urban transport networks. A significant part of his work was conducted within the Future Resilient Systems (FRS) program, where he contributed to Cluster 1: Infrastructure and System Resilience.
We extend our congratulations to Kiran for this outstanding achievement and look forward to the real-world impact of his research on infrastructure monitoring and digital twin development.
👉 Learn more about Kiran’s work at Cluster 1 of the FRS program:
🔗 external page Future Resilient Systems Program