Skip to main content
universidade lusófona

Short Course | Structural Health Monitoring | China (Special Edition)

Hybrid (12h) | Special edition at Tongji University, Shanghai, China

This special edition of the Short Course on Structural Health Monitoring (SHM), hosted by Tongji University in Shanghai, China, offers an intensive journey from the fundamental principles of SHM within a statistical pattern recognition paradigm to its implementation on real civil infrastructure. More details will be provided soon; stay tuned!

Delivered in a hybrid format, the course takes place at the home of the world’s largest and most advanced bridge monitoring systems. It will be available remotely after registration for participants worldwide. This special edition will place particular emphasis on large-scale SHM applications and the transition from research to engineering practice.

DURATION, LOCATION, DATE, AND TIME

  • Duration: 12 hours (hybrid mode)
  • Location: 201 Bridge Building, 1239 Siping, Tongji University, Shanghai 200092, China
  • Link for remote participants will be sent later on
  • Date: To be announced soon
  • Time: 14:00 to 21:00 China time (one hour for dinner)

OBSERVATIONS

  • The instructors reserve the right to modify the course organization as necessary to maintain the highest standards of content quality.
  • Course notes will be distributed during the course.
  • A Certificate of Attendance will be issued at the end of the short course.
  • If you have any questions, please send us an email: This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Last update: September 30, 2026.

INSTRUCTORS

Eloi Figueiredo – PhD in Civil Engineering (2010) and Full Professor at the Faculty of Engineering at Lusófona University in Lisbon, Portugal. He is also a Visiting Scholar at Tongji University under the 2025 Shanghai Sci-tech Co-research Program (Grant No. 25HB2707400). He has dedicated his academic career to teaching structural engineering and conducting research in structural health monitoring (SHM) and the climate change adaptation of transport infrastructure. He has been actively involved in organizing international courses on SHM, fostering knowledge exchange and training researchers and practitioners. He is currently an Associate Editor of the Structural Health Monitoring journal and Chair of IABSE Task Group 5.11, which supports the transition of SHM from research to practice. He has authored more than 125 scientific publications, including books, book chapters, peer-reviewed journal articles, and conference papers.

Ionut Moldovan – PhD in Civil Engineering (2008) and Associate Professor at Lusófona University, has more than 100 scientific publications, including books, book chapters and papers in international journals and conferences. He is the Principal Investigator of the Project INTENT, funded by the Portuguese Science Foundation (FCT), and lead developer of FreeHyTE, the first public, open-source and user-friendly computational platform using hybrid-Trefftz finite elements.

Michael Havbor Faber – Professor at Lusófona University. He is discipline Director for Risk, Resilience and Sustainability at NIRAS A/S in Denmark, and he has a position as Chair Professor at Harbin Institute of Technology in China. His research interests are directed on probabilistic modeling and analysis of systems with applications to governance and management of risks, resilience and sustainability in the built environment. Initiating president of the Joint Committee on the GLOBE Consensus, past president of the Joint Committee on Structural Safety, member of the WEF Global Expert Network on Risk and Resilience, member of the Danish Research Council and the Danish Academy of Technical Sciences. Michael was awarded the Allin C. Cornell Award in 2019.

Ye Xia – Dr. Ye Xia is an Associate Professor at Tongji University, Shanghai, China. He serves as Deputy Director of the Department of Bridge Engineering and Vice Chair of the Chinese Group of IABSE. He graduated from Tongji University and the University of California, Irvine, and worked as a Postdoctoral Associate at Rutgers University from 2011 to 2013. He has been a licensed Professional Engineer in California since 2013. His research focuses on structural health monitoring, bridge condition assessment, data-driven modeling, and AI-enabled infrastructure management. He has published over 140 SCI-indexed journal papers, authored two monographs, and holds more than 20 invention patents. He is a CNKI Highly Cited Scholar (TOP 1%) and recipient of the IABSE Early Career Prize, along with multiple science and technology awards.