CIVL3141 Applied Deep Learning for Civil Engineers
CIVL3138 Advanced Theory and Design of Structures
CIVL6080 Fire Engineering Design of Structures
Research Interests
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.