Maria Pina Limongelli

Short CV

Maria Pina Limongelli is Professor of Structural Analysis and Design at Politecnico di Milano, with over 25 years of experience in research and teaching. She holds a PhD in Seismic Engineering and has developed internationally recognized expertise in structural health monitoring, seismic engineering, and infrastructure integrity management. Her work focuses on vibration-based damage detection, value of monitoring information, and large scale sensing, including satellite-InSAR and crowdsensing. She has coordinated and participated in major European and national research projects, fostering collaborations across Europe, the USA, and China. Prof. Limongelli has held visiting positions in Greece, USA, France and Sweden. She has authored over 200 scientific publications, serves on editorial boards of leading journals, and plays active roles in international organizations, contributing to policy, research, and professional development in civil engineering.

Selected Awards

• 2025: Hans Fischer Senior Fellowship, Technical University of Munich
• 2022-2025: Lise Meitner Guest Professorship, Lund Technical University
• 2022, 2024: Editorial Excellence Award, Journal of Civil Structural Health Monitoring 

Research Interests

• Structural Health Monitoring (SHM) for civil infrastructures
• Vibration-based damage detection and system identification
• Value of information and decision-making in SHM
• Satellite InSAR and remote sensing for infrastructure monitoring
• Digitalization of bridge integrity management
• Seismic engineering and performance of structures 
   

My research focuses on advancing structural health monitoring (SHM) as a key enabler for the safe, sustainable, and resilient management of civil infrastructures. I develop methodologies for vibration-based damage detection, integrating experimental data, analytical modeling, and, more recently, data-driven approaches. A central contribution of my work is the development of interpolation-based techniques for damage localization, validated on real structures and addressing uncertainties that often limit practical applications.

A second research line investigates the quantification of the value of information provided by monitoring systems, supporting risk-informed decision-making for infrastructure management under hazards such as earthquakes and floods. More recently, I have expanded my work to remote sensing, particularly satellite InSAR, proposing methods to extract structural performance indicators from large-scale data while accounting for environmental effects.

Through interdisciplinary collaborations and international projects, my research contributes to the digitalization of infrastructure management, bridging sensing technologies, data analytics, and engineering decision frameworks. The ultimate goal is to transform monitoring data into actionable knowledge for improving the safety, reliability, and sustainability of the built environment.

Selected Publications

• Massarelli E., Civera M., Mara S., Raimondi M., Giordano P.F., Quqa S., Aimar M., Limongelli M.P., Chiaia B., (2026). Crowdsensing-based automated operational modal analysis for indirect bridge structural health monitoring, Engineering Structures, Vol 353, Part A, 2026, ISSN 0141-0296, doi.org/10.1016/j.engstruct.2026.122203.
• Li Z., Lin W., Kim C.-W., Limongelli M.P., Chatzi E. (2026). A comprehensive review of indirect bridge health monitoring. Mechanical Systems and Signal Processing, 247, DOI: 10.1016/j.ymssp.2026.113918Mallardi M.G., D'Arenzo G., Giordano P.F., Limongelli M.P. (2025) Influence of perpendicular wall interactions on the lateral behaviour of multi-storey cross-laminated timber structures: An analytical and numerical study. Engineering Structures, 340, DOI: 10.1016/j.engstruct.2025.120727
• Giordano P.F., Kamariotis A., Giardina G., Chatzi E., Limongelli M.P. (2025) Uncertainty propagation in satellite InSAR data analysis for structural health monitoring. Automation in Construction, 177, DOI: 10.1016/j.autcon.2025.106371
• Limongelli M.P., Thomson D., Alampalli S. et al. (2024). SCSHM benchmark study on bridge in-service structural monitoring. J Civil Struct Health Monit. https://doi.org/10.1007/s13349-024-00846-1
• Limongelli M.P. et al. (2024). Bridge structural monitoring: the Lombardia regional guidelines. Structure and Infrastructure Engineering. DOI: 10.1080/15732479.2022.2107023.
• Bolognini, M., Marchisotti D. Fagiano L., Limongelli M.P., Zappa E. (2022). Vision-Based Modal Analysis with Multiple Drones. Automation in Construction. DOI: 10.1016/j.autcon.2022.104550.
• Quqa S., Giordano P. F., Limongelli, M. P. (2022). Shared micromobility-driven modal identification of urban bridges. Automation in Construction, 134 DOI:10.1016/j.autcon.2021.104048.
• Giordano P.F., Turksezer, Z.I., Previtali M., Limongelli, M.P. (2022). Damage detection on a historic iron bridge using satellite DInSAR data. SHM Journal. Structural Health Monitoring, Vol. 0(0) 1–21. DOI: 10.1177/14759217211054350.
• Giordano, P.F., Iacovino, C., Quqa, S., Limongelli M.P. (2022). The value of seismic structural health monitoring for post-earthquake building evacuation. Bulletin of Earthquake Engineering 20, 4367–4393 (2022). DOI: 10.1007/s10518-022-01375-2.
• Limongelli M.P. (2014). “Seismic health monitoring of an instrumented multistorey building using the Interpolation Method”. Earthquake Engineering and Structural Dynamics 43, pp 1581-1602. doi: 10.1002/eqe.2411.