1. A machine learning framework for evaluating cyclic resistance of sands with non-plastic fines [Read Paper]

Mushtaq, A., Salman, M., Noman, M., Faizan, M., & Ahmed, A.

Innovative Infrastructure Solutions, 2026

2. Classification of clay bricks using vision-based machine learning algorithms [Read Paper]

Faizan, M., Salman, M., Noman, M., Akhtar, A., Ahmad, A., & Bakhtyar, M.

Innovative Infrastructure Solutions, 2026

3. Predicting fire resistance of reinforced concrete (RC) and concrete-filled steel tubular (CFST) columns through machine learning [Read Paper]

Noman, M., Salman, M., Mati Ullah, M., Faizan, M., & Ahmed, A.

Innovative Infrastructure Solutions, 2026

4. Development of Machine Learning Algorithms to Predict the Ultimate Axial Capacity of Fire Damaged Circular Columns Repaired with CFRP Composites [Read Paper]

Salman, M., Yaqub, M., Noman, M., Faizan, M., Javaid, M.A., & Maqsood, S.

Journal of Civil Engineering Frontiers (JoCEF), 2026

5. Predicting axial load capacity of CFRP fire-damaged RC columns through DANN [Read Paper]

Noman, M., Yaqub, M., Salman, M., Faizan, M., Mahmoudabadi, S., & Ahmad, A.

Innovative Infrastructure Solutions, 2025

6. A Statistical Comparative Analysis of Fire Resistance of Reinforced Concrete (RC) and Concrete Filled Steel Tubular (CFST) Columns using Deep Learning [Read Paper]

Noman, M., Ahmed, A., Salman, M., & Faizan, M.

Proceedings of the 2nd Olympiad in Engineering Science (OES 2025), University of Stavanger, Oslo, Norway, 2025

7. Applying Machine Learning in Predicting the Effect of Cross-Sectional Shape on the Axial Strength of Thermally Damaged and CFRP-Repaired Concrete Columns [Read Paper]

Salman, M., Faizan, M., Noman, M., & Salati, M.

International Journal of Innovations in Science and Technology (IJIST), 2024

1. Machine learning-driven web application for dynamic photographer hiring and recommendation system [Read Paper]

Bachelor’s Thesis

UET Taxila (Industry Collaboration with AIIT Solutions), 2023

1. Development of Convolutional Neural Network (CNN) Based Models for Detection, Classification & Localization of Residential Buildings’ Defects

UET Taxila, 2024