Muhammad Farjad Iqbal (on Study Leave)
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Muhammad Farjad Iqbal (on Study Leave)


Qualifications: M.Sc. (Civil Engineering)
Research Interests: Structures, Sustainable Construction Materials, Green Concrete, Concrete Durability, Progressive Collapse, Artificial Intelligence in Civil Engineering, Gene Expression Programming, Artificial Neural Network, 3-D Concrete Printing, Geo-polymer Concrete


M.Sc. (Civil & Structural Engineering)                                    2017 – 2019

Shanghai Jiao Tong University, Shanghai, P.R. China

B.Sc. (Civil Engineering)                                                            2012 – 2016

University of Engineering and Technology, Lahore, Pakistan


Major Research Projects

  • Utilization of green materials in construction to reduce greenhouse gases emission.
  • Progressive collapse assessment of reinforced concrete (RC) structures.
  • Application of Artificial Intelligence to model the mechanical properties of sustainable concrete, resisting mechanisms involved in progressive collapse of RC frame structures and chloide diffsivity in RC structures.

Research Publications

  • M.F. Iqbal, Q.-f. Liu, I. Azim, X. Zhu, J. Yang, M.F. Javed, M. Rauf, 2020, Prediction of mechanical properties of green concrete incorporating waste foundry sand based on gene expression programming, Journal of Hazardous Materials (HEC-Platinum), 384, 121322 (SCI | IF-7.65). URL
  • M.F. Iqbal, M.F. Javed, M. Rauf, I. Azim, M. Ashraf, J. Yang, Q.-f. Liu, 2021, Sustainable utilization of foundry waste: Forecasting mechanical properties of foundry sand based concrete using multi-expression programming, Science of the Total Environment (HEC-Platinum), 146524 (SCI | IF-6.55). URL
  • Q.-f. Liu, M.F. Iqbal, J. Yang, X.Y. Lu, P. Zhang, M. Rauf, Prediction of chloride diffusivity in concrete using artificial neural network: modelling and performance evaluation, 2021, Construction and Building Materials (HEC-Platinum), (SCI | IF-4.419). URL
  • Meng Z, Liu QF, Cai Y, Iqbal MF. (2021): Electrochemical deposition method for loading-induced crack repair of reinforced concrete structures: A numerical study, Engineering Structures (HEC-Platinum), (Elsevier-Q1), 246, 112903 (SCI | IF-4.471). URL
  • I. Azim, J. Yang, M.F. Iqbal, Z. Mehmood, M.F. Javed, F. Wang, Q.-f. Liu, 2021, Prediction of the Catenary Action Capacity of RC Frame Structures under a Column Removal Scenario Using Evolutionary Algorithm, KSCE Journal of Civil Engineering, (SCI | IF-1.515) – URL
  • I. Azim, J. Yang, M.F. Iqbal, M.F. Javed, S. Nazar, F. Wang, Q.-f. Liu, 2020, Semi-analytical model for compressive arch action capacity of RC frame structures, Structures, 27, 1231-1245 (SCI | IF-1.839)URL
  • I. Azim, J. Yang, M.F. Javed, M.F. Iqbal, Z. Mahmood, F. Wang, Q.-f. Liu, 2020, Prediction model for compressive arch action capacity of RC frame structures under column removal scenario using gene expression programming, Structures, 25, 212-228 (SCI | IF-1.839). URL
  • M.F. Iqbal, Q.-f. Liu, I. Azim, 2019, Experimental study on the utilization of waste foundry sand as embankment and structural fill. IOP Conference Series: Materials Science and Engineering, 474, 012042. URL


  • Study on the utilization of waste foundry sand for sustainable construction, 2020, MSc Thesis.
  • Valorization of waste materials of foundries for Civil Engineering applications, 2016, BSc Thesis.
Courses Taught

  • Mechancis of Solids II
  • Basic Structural Analysis
  • Indeterminate Structural Analysis
  • Advance Theories of Concrete Structures
External Links

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