Dr. Faiq M. Sarhan Al-Zwainy

Assistant Professor
Al Nahrain University, Iraq

Highest Degree
Ph.D. in Civil Engineering from Baghdad University, Iraq

My URL
https://livedna.org/964.14261

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Area of Interest:

Physical Science Engineering
Civil Engineering
Neural Network
Artificial Intelligence
Operation Research

Selected Publications

  1. Al-Zwainy, F.M.S., I.A. Mohammed and K.A.K. Al- Shaikhli, 2017. Diagnostic and assessment benefits and barriers of BIM in construction project management. Civil Eng. J., 3: 63-77.
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  2. Al-Zwainy, F.M.S. and M.S.K. Al-Marsomi, 2017. Developing a novel approach for evaluation performance of the engineering departments managers using 360 technique. Eurasian J. Sci. Eng., 2: 56-67.
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  3. Al-Zwainy, F.M.S. and I.A. Edan, 2017. Forecasting the cost of structure of infrastructure projects utilizing artificial neural network model (highway projects as case study). Indian J. Sci. Tech., 10: 1-12.
    CrossRef  |  

  4. Shalal, A.M., I.A. Mohammed and F.M.S. Al-Zwainy, 2016. Evaluation performance of the project management office in oil companies. J. Eng. Appl. Sci., 11: 2274-2285.
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  5. Rasool, S.H. and F.M.S. Al-Zwainy, 2016. Estimating Productivity of Brickwork item using Logistic and Multiple Regression Approaches. Scholars J. Eng. Technol., 4: 234-243.

  6. Alzwainy, F.M.S., H.K. Risan and R.I.K. Zaki, 2016. Meta-Analysis of Fiber Impact on Mechanical Properties of Ultra-High Performance Concrete. Ciencia Tecnica Vitivinicola, 31: 101-113.

  7. Al-Zwainy, F.M.S., R. Amer and T. Khaleel, 2016. Reviewing of the simulation models in cost management of the construction projects. Civil Eng. J., 2: 607-622.
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  8. Al-Zwainy, F.M.S., M.S.K. Al-Marsomi, 2016. Investigation and Evaluation the Performance of the Construction Residential Complexes Projects. Int. J. Appl. Eng. Res., 11: 8863-8877.
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  9. Al-Zwainy, F.M.S., I.A. Mohammed and S.H. Raheem, 2016. Investigation and assessment of the Project Management Methodology in Iraqi Construction Sector. Int. J. Appl. Eng. Res., 11: 2494-2507.

  10. Al-Zwainy, F.M.S., I.A. Mohammed and S.H. Raheem, 2016. Application Project Management Methodology in Construction Sector: Review. Int. J. Sci. Eng. Res., 7: 244-253.

  11. Al-Zwainy, F.M.S., F.K. Jaber and A.M. Tufiq, 2016. Statistical evaluation for communication management in Iraqi consultant bureaus. Res. J. Applied Sci. Eng. Tech., 13: 593-605.
    CrossRef  |  

  12. Al-Zwainy, F.M.S. and R. Amer, 2016. Investigation cost deviation of highway project. Res. J. Appl. Sci. Eng. Technol., 13: 843-855.
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  13. Al-Zwainy, F.M.S. and N.T. Hadhal, 2016. Building a Mathematical Model for Predicting the Cost of the Communication Towers Projects Using Multifactor Linear Regression Technique. Int. J. Constr. Eng. Manage., 5: 25-29.
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  14. Al-Zwainy, F.M.S. and N.T. Hadal, 2016. Application artificial forecasting techniques in cost management (review). J. Eng., 22: 1-15.
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  15. Zwainy, A.F.M.S. and N.T. Hadhal, 2015. Investigation and evaluation of the cost estimation methods of iraqi communication projects. Int. J. Engi. Manage. Res., 5: 41-48.

  16. Alzwainy, F.M.S., I.A. Mohammed and D.S. Mohsen, 2015. Value Management in Construction Project. LAP Lambert Academic, Germany,.

  17. Alzwainy, F.M.S., A.R.H. Suhaily and Z.M. Saco, 2015. Project Management and Artificial Neural Networks: Fundamental and Application. Lambert Academic, Germany, Pages: 288..

  18. Sarhan, F.M., I.A. Mohammed and D. Sameer, 2014. Evaluation The Performance of The Infrastructure Project Using Earned Value Management. Int. J. Civil. Eng., 5: 145-155.
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  19. AL-Zwainy, F.M.S., 2014. Development of the Mathematical Model for Predicating the Construction Productivity in IRAQ Using the Artificial Neural Perceptron Network. J. Eng. Dev., 18: 1-21.

  20. AL-Zwainy, F.M.S. and F.K. Jaber, 2014. Quality Control of Concrete Board Piles in Overpasses Projects in Iraq. AL-Taqani, 27: 29-54.

  21. Sarhan, F.M., E.K. Rana and K.A. Shaymaa, 2013. Statistical evaluation of the affective factors on the process of preparing time schedules for iraqi construction projects. J. Eng. Dev., 17: 33-61.

  22. Al-Zwainy, F.M.S., M.H. Abdulmajeed and H.S.M. Aljumaily, 2013. Using multivariable linear regression technique for modeling productivity construction in Iraq. Open J. Civil Eng., 3: 127-135.
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  23. Sarhan, F.M., F.I. Huda and A.H. Asmaa, 2012. Modern techniques and methods in engineering education. J. Eng. Dev., 16: 1-16.

  24. Alzwainy, F.M.S., 2012. The Use of Artificial Neural Networks for Productivity Estimation of finish Works for Building Projects. J. Eng. Dev., 16: 42-60.
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  25. Al-Zwainy, F.M.S., H.A. Rasheed and H.F. Ibraheem, 2012. Development of the construction productivity estimation model using artificial neural network for finishing works for floors with marble. ARPN J. Eng. Appl. Sci., 7: 714-722.
Member since January, 2017