Engr. Muhammad Junaid Iqbal
Engr. Muhammad Junaid Iqbal is a structural engineer with a passion for understanding the behavior of construction materials. He holds a Master of Science degree in Structural Engineering and is currently pursuing his PhD in structural engineering in the department of civil engineering, University of Engineering and Technology (UET) Peshawar.
Engr. Muhammad Junaid Iqbal research focuses on delving deep into the properties and performance of construction materials. His work has been published in various peer-reviewed journals, contributing valuable insights to the field.
Beyond his academic pursuits, Engr. Muhammad Junaid Iqbal actively contributes to UET’s commercial services. He possesses expertise in operating Universal Testing Machines, a vital tool for assessing the strength and behavior of construction materials. This practical experience allows him to bridge the gap between theoretical knowledge and real-world applications.
Engr. Muhammad Junaid Iqbal dedication to research and practical experience positions him as a rising star in the field of structural engineering. His ongoing doctoral studies and published works hold great promise for the advancement of construction material science.
Publications:
1. Ahmad, M., Hu, J. L., Ahmad, F., Tang, X. W., Amjad, M., Iqbal, M. J., … & Farooq, A. (2021). Supervised learning methods for modeling concrete compressive strength prediction at high temperature. Materials, 14(8), 1983.
2. Ahmad, M., Kamiński, P., Olczak, P., Alam, M., Iqbal, M. J., Ahmad, F., … & Khan, B. J. (2021). Development of prediction models for shear strength of rockfill material using machine learning techniques. Applied Sciences, 11(13), 6167.
3. Iqbal, M. J., Gul, A., Badrashi, Y. I., Shah, S. A. A., Badshah, E., Hassan, Z., & Ahmed, W. CONSTITUTIVE MATERIAL MODEL FOR BLOCK MASONRY AND ITS MECHANICAL PROPERTIES.
4. Shah, L. A., Khan, A. U., Khan, F. A., Khan, Z., Rauf, A. U., Rahman, S. U., … & Abbas, A. (2021). Statistical significance assessment of streamflow elasticity of major rivers. Civil Engineering Journal, 7(05), 893-905.
5. Asim, M., Ahmad, M., Alam, M., Ullah, S., Iqbal, M. J., & Ali, S. (2021). Prediction of rutting in flexible pavements using finite element method. Civ. Eng. J, 7(8), 1310-1326.
6. Gul, A., Alam, B., Iqbal, M. J., Ahmed, W., Shahzada, K., Javed, M. H., & Khan, E. A. (2021). Impact of length and percent dosage of recycled steel fibers on the mechanical properties of concrete. Civil Engineering Journal (Iran), 7(10), 1650-1666.
7. Mahmood Ahmad, Feezan Ahmad, Jiandong Huang, Muhammad Junaid Iqbal, Muhammad Safdar, Nima Pirhadi. Probabilistic evaluation of CPT-based seismic soil liquefaction potential: towards the integration of interpretive structural modeling and bayesian belief network[J]. Mathematical Biosciences and Engineering, 2021, 18(6): 9233-9252.
8. Ullah, B., Fawad, M., Khan, A. U., Mohamand, S. K., Khan, M., Iqbal, M. J., & Khan, J. (2023). Futuristic streamflow prediction based on CMIP6 scenarios using machine learning models. Water Resources Management, 37(15), 6089-6106.
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