1. Classification of clay bricks using vision-based machine learning algorithms [Read Paper]
Innovative Infrastructure Solutions, 2026
1. Classification of clay bricks using vision-based machine learning algorithms [Read Paper]
Innovative Infrastructure Solutions, 2026
2. Predicting fire resistance of reinforced concrete (RC) and concrete-filled steel tubular (CFST) columns through machine learning [Read Paper]
Innovative Infrastructure Solutions, 2026
3. Development of Machine Learning Algorithms to Predict the Ultimate Axial Capacity of Fire Damaged Circular Columns Repaired with CFRP Composites [Read Paper]
Journal of Civil Engineering Frontiers (JoCEF), 2026
4. Predicting axial load capacity of CFRP fire-damaged RC columns through DANN [Read Paper]
Innovative Infrastructure Solutions, 2025
5. A Statistical Comparative Analysis of Fire Resistance of Reinforced Concrete (RC) and Concrete Filled Steel Tubular (CFST) Columns using Deep Learning [Read Paper]
Proceedings of the 2nd Olympiad in Engineering Science (OES 2025), University of Stavanger, Oslo, Norway, 2025
6. 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]
International Journal of Innovations in Science and Technology (IJIST), 2024
1. A statistical analysis with a machine learning framework to probe in density measure suitable for cyclic resistance of sands containing non-plastic fines
Submitted, 2025
1. Machine learning-driven web application for dynamic photographer hiring and recommendation system [Read Paper]
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