Dr. X.W. Deng

Associate Professor (Structural Engineering)
Dr. X.W. Deng

BEng, Southeast University, China
MSc, Tshinghua University, China
PhD, California Institute of Technology, US




Office: HW 6-28
Phone: +852 2859 1974
Fax: +852 2559 5337
E-mail: xwdeng@hku.hk
Homepage: Google Scholar


Teaching Activities
    Undergraduate Courses:
  • ENGG1320 Engineers in the Modern World
  • CIVL3112 Wind Engineering
  • CIVL4101 Capstone Design Project
  • CIVL4102 Project
  • CIVL6053 Wind Engineering
  • CIVL7009 Dissertation


Research Interests
  • Design of lightweight and composite structures
  • Fluid-structure interaction of renewable energy system
  • Computational mechanics with focus on isogeometric analysis and finite element method
  • Structural optimization with applications in civil infrastructures and biomedical devices


Representative Research / Consultancy Projects
  • A Novel Multistage Machine Learning Framework for Multisource Data Driven Wake Steering of Smart Wind Farms, Research Grants Council/General Research Fund, PI;
  • Fluid-Structure Interaction Modeling for Failure Analysis of Wind Turbines under Extreme Wind Conditions, Research Grants Council/Early Career Scheme, PI;
  • Structural Analysis of Offshore Steel Wind Turbine Tower with Monopile Platform subject to Wind and Ocean Waves, National Natural Science Foundation China NSFC/ General Program, PI;
  • Towards a Comprehensive Understanding of the Performance of Offshore Wind Turbine Systems in Complex Environments, Research Grants Council/Collaborative Research Fund, Co-PI;
  • Collaboration Research on Temperature effects on Highway Structures due to Climate Change, Highways Department of HK government, PI.


Professional Activities
  • Professional membership: President, American Society of Civil Engineers (ASCE), Greater China Section; Co-opted director, Hong Kong Wind Engineering Society (HKWES); Non-official committee member, Technical Committee for The Code of Practice for Dead and Imposed Loads, Buildings Department; Non-official committee member, Technical Committee on the Code of Practice on Wind Effects in Hong Kong, Buildings Department
  • Professional awards: Technological Innovation Award from China Steel Construction Society, First Class of Science and Technology Progress Award from Chongqing municipal government, Outstanding PhD dissertation (Caltech), Best paper award from AIAA and ASME"


10 Selected Representative Publications
  • Yang, K., & Deng, X., Layout optimization for renovation of operational offshore wind farm based on machine learning wake model. Journal of Wind Engineering and Industrial Aerodynamics, 232, 105280, 2023.
  • Yang, S., Deng, X., Zhang, M., & Xu, Y. Effect of wave spectral variability on the dynamic response of offshore wind turbine considering soil-pile-structure interaction. . Ocean Engineering, 267, 113222, 2023.
  • Ti, Z., Song, Y., & Deng, X., Spatial-temporal wave height forecast using deep learning and public reanalysis dataset. Applied Energy, 326, 120027, 2022.
  • Deng, X., Zhao, J. , Cai, J., & Liu, X., Tunable origami metamaterial with arbitrary single-curvature configuration. Mechanism and Machine Theory, 171, 104745, 2022.
  • Yang, S., Deng, X., & Yang, J.*, Modeling of soil-pile-structure interaction for dynamic response of standalone wind turbines. Renewable Energy, 186, 394-410, 2022.
  • Ti, Z., & Deng, X., Layout optimization of offshore wind farm considering spatially inhomogeneous wave loads. Applied Energy, 306, 117947, 2022.
  • Ti, Z., Deng, X., & Zhang, M., Artificial Neural Networks based wake model for power prediction of wind farm. Renewable Energy, 172, 618-631, 2021.
  • Huang, S., Deng, X., & Lam, L. K., Integrated design framework of 3D printed planar stainless tubular joint: Modelling, optimization, manufacturing, and experiment. Thin-Walled Structures, 169, 108463, 2021.
  • Liu, C., Deng, X., Liu, J., Peng, T., Yang, S., & Zheng, Z., Dynamic response of saddle membrane structure under hail impact. Engineering Structures, 214, 110597, 2020.
  • Ti, Z., Deng, X., Yang, H. Wake modeling of wind turbines using machine learning. Applied Energy, 257, 114025, 2020.


For more information of Dr. X.W. Deng , please visit Google Scholar.