Staff profile

• Infrastructure maintenance, Digital Twin, Non-destructive sensing, Machine learning, Computational modelling

• 2026: Sustainability Impact Award (International Underground Infrastructure Digital Challenge):
• 2025 - 2027: Marie Skłodowska-Curie Actions:
• 2025: Ludger Mintrop Award: The Ludger Mintrop Award is presented by European Association of Geoscientists and Engineers (EAGE) to the author(s) of the best paper published in Near Surface Geophysics in the calendar year preceding the award.
• 2024: Excellent Student Presentation Award (The 20th International Conference on GPR):
• 2023: Best Student Presentation Award (The 12th International Workshop on Advanced GPR):

Journal Article

• DOWSER: A DINO-based One-shot Water Seepage Recognition network for TBM tunnel inspection
  
  Ye, Z., Wang, N., Zhu, H., Zhang, Q., Li, Z., & Ninić, J. (2026). DOWSER: A DINO-based One-shot Water Seepage Recognition network for TBM tunnel inspection. Tunnelling and Underground Space Technology, 177, Article 107957. https://doi.org/10.1016/j.tust.2026.107957
• Deep learning for automated rock core image analysis: Weathering classification, fracture detection, and 3D geological modelling
  
  Li, Z., Huang, M., Zhu, H., Tang, Y., Zhao, J., & Zhang, Q. (2026). Deep learning for automated rock core image analysis: Weathering classification, fracture detection, and 3D geological modelling. International Journal of Rock Mechanics and Mining Sciences, 206, Article 106655. https://doi.org/10.1016/j.ijrmms.2026.106655
• Automating dense GPR simulations for C-scan imaging of subsurface infrastructure
  
  Zhu, H., Zhou, Y., Xiao, F., Ninic, J., Lai, W., & Zhang, Q. (2026). Automating dense GPR simulations for C-scan imaging of subsurface infrastructure. Automation in Construction, 184, Article 106828. https://doi.org/10.1016/j.autcon.2026.106828
• Transforming the maintenance of underground infrastructure through Digital Twins: State of the art and outlook
  
  Zhu, H., Huang, M., Ji, P., Xiao, F., & Zhang, Q. (2025). Transforming the maintenance of underground infrastructure through Digital Twins: State of the art and outlook. Tunnelling and Underground Space Technology, 161, Article 106508. https://doi.org/10.1016/j.tust.2025.106508
• A framework for GPR‐based water leakage detection by integrating hydromechanical modelling into electromagnetic modelling
  
  Zhu, H., Xiao, F., Zhou, Y., Lai, W. W. L., & Zhang, Q. (2024). A framework for GPR‐based water leakage detection by integrating hydromechanical modelling into electromagnetic modelling. Near Surface Geophysics, 22(2), 175-187. https://doi.org/10.1002/nsg.12281