Digital twin development for increasing urban resilience.
Applications of computer vision, artificial intelligence, and machine learning techniques for infrastructure digital transformation.
Data-driven based city-scale disaster management and performance assessment of structures under multi-hazards.
Representative Research / Consultancy Projects
Photogrammetry-based computational fluid dynamics
Development of full-scale hybrid fire simulation methods
Representative Publications
Wang, X., Jaiswal, M., Corpuz, A. M., Paudel, S., Balu, A., Krishnamurthy, A., ... & Hsu, M. C*. (2023). Photogrammetry-based computational fluid dynamics.
Computer Methods in Applied Mechanics and Engineering, 417, 116311.
Wang, X., Demartino, C.*, Narazaki, Y., Monti, G., & Spencer Jr, B. F. (2023). Rapid seismic risk assessment of bridges using UAV aerial photogrammetry.
Engineering Structures, 279, 115589.
Zhu, Q.,Wang, X.*, Demartino, C., & Yan, J.* (2023). Revealing aeroelastic effects on low-rise roof structures in turbulent winds via isogeometric fluid–structure interaction.
Computational Mechanics, 1-16.
Wang, X., Kim, R. E., Kwon, O. S.*, Yeo, I. H., & Ahn, J. K. (2019). Continuous real-time hybrid simulation method for structures subject to fire.
Journal of Structural Engineering, 145(12), 04019152.
Wang, X., Kim, R. E., Kwon, O. S.*, & Yeo, I. (2018). Hybrid simulation method for a structure subjected to fire and its application to a steel frame.
Journal of Structural Engineering, 144(8), 04018118.