Dr. Qi ZHANG

G o o g l e Scholar

E-mail : q7zhang@polyu.edu.hk


Academic qualifications

  • Ph.D. in Civil and Environmental Engineering (Geomechanics), Stanford University, USA, 2018 – 2021
  • M.Sc. in Civil and Environmental Engineering (Geomechanics), Stanford University, USA, 2016 – 2018
  • Undergraduate Minor in Applied Mathematics, Tongji University, China, 2012 – 2014
  • B.Sc. in Civil Engineering, Tongji University, China, 2012 – 2016

Professional experience (University)

  • Postdoc Fellow, The Hong Kong Polytechnic University, 09/2021 – present
  • Research Assistant, Stanford University, USA, 01/2021 – 06/2021
  • Research Assistant, Stanford University, USA, 09/2017 – 06/2018
  • Course Assistant, Stanford University, USA, 2017 – 18 Spring quarter

Research interests

  • Thermal-Hydraulic-Mechanical modeling of sedimentary rocks with bedding structure
  • Non-Darcy flow of gas and liquid in nanopores of unconventional tight reservoirs
  • Poroelasticity and finite deformation poromechanics for single and multiple porosity material
  • Application of the Physics-Informed Neural Network (PINN) in geotechnical engineering

Topic 1:Thermodynamic modeling of double porosity media

  • Contribution: 1) Derivation of double porosity poroelastic coefficients by using the mixture theory and the principle of superposition; 2) New hydromechanical patterns in the consolidation problem of double porosity media, as shown in the 4 subfigures with different leakage parameters; 3) Impact of low-velocity non-Darcy flow in the strip load problem is revealed (under the condition of simplified flow PDEs).
  • Significance: A FINAL answer to double porosity modeling equations.




  • Zhang Q, Choo J, Borja R, On the preferential flow patterns induced by transverse isotropy and non-Darcy flow in double porosity media, Computer Methods in Applied Mechanics and Engineering, 2019.
  • Zhang Q, Yan X, Shao J, Fluid flow through anisotropic and deformable double porosity media with ultra-low matrix permeability: A continuum framework, Journal of Petroleum Science and Engineering, 2021.
  • Zhang Q, Borja R, Poroelastic coefficients for anisotropic single and double porosity media, Acta Geotechnica, 2021.
  • Zhang Q, Strip load on transversely isotropic elastic double porosity media with strong permeability contrast, Advances in Geo-Energy Research, 2021.


Topic 2:Elastoplastic geomechanics in transversely isotropic rocks

  • Contribution: 1) Impact of fluid flow on plasticity evolution; 2) Impact of bedding plane orientation; 3) Impact of elastoplasticity.


  • Zhang Q, Hydromechanical modeling of solid deformation and fluid flow in the transversely isotropic fissured rocks, Computers and Geotechnics, 2020.


Topic 3:Multi-Constitutive Neural Network for Large Deformation Poromechanics Problem

  • Contribution: A novel modeling technique called MCNN is proposed to solve the multi-constitutive problems by using a law-encoding vector.
  • Significance: MCNN could achieve good accuracies for the nonlinear large deformation problem.




  • Zhang Q, Chen Y, Yang Z, Darve E, Multi-Constitutive Neural Network for Large Deformation Poromechanics Problem, Proceedings of the Machine Learning and the Physical Sciences Workshop, 34th Conference on Neural Information Processing Systems (NeurIPS), December 2020.


Other publications

  • Zhang Q, Zhu H, Collaborative 3D geological modeling analysis based on multi-source data standard, Engineering Geology, 2018.
  • Zhang Q, Wang Z, Spatial prediction of loose aquifer water abundance mapping based on a hybrid statistical learning approach, Earth Science Informatics, 2021.
  • Zhang Q, Continuum formulation of coupled flow and geomechanics in heterogeneous porous media and its engineering applications, Continuum Mechanics and Thermodynamics, under review after a major revision, 2021.