Huangbin Liang is a Postdoctoral Researcher at the Chair of Structural Mechanics & Monitoring, ETH Zürich. He received his B.S. in Civil Engineering and Ph.D. in Structural Engineering from Tongji University. His academic training and research experience focus on structural resilience, seismic performance, and digital-twin-enabled decision support for the built environment. He has held postdoctoral positions at ETH Zürich and the Singapore–ETH Centre (Future Resilient Systems), where he worked on resilience modelling of cyber-physical infrastructure systems, including probabilistic risk and recovery analysis, physics-informed machine learning, and post-disaster decision optimization. His research integrates structural health monitoring (SHM), BIM-based digital twins, and probabilistic modelling to assess how buildings and infrastructure withstand, adapt to, and recover from extreme hazards over their lifecycle. He has developed a BIM-to-structural analysis (BIM2Struc) framework enabling automated model updating driven by SHM/NDT data. His work has been published in peer-reviewed journals and validated through finite element simulations and full-scale shaking table tests, particularly for electrical substations and critical infrastructure systems. He has participated in multiple national and international research projects, including those funded by the National Natural Science Foundation of China and EU–Swiss collaborative programs.