Posts by Collection

portfolio

1. Dashey Booking Platform

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5. D2p – Book Selling Platform

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6. D2p – Book Selling Platform (Admin Panel)

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7. Eksplode – Ecommerce Platform

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8. Eksplode – Ecommerce Platform (Admin Panel)

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9. eMoney – Digital Currency Platform

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11. Printful Print-on-Demand Services Platform

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13. Sidekig AI Side-Hustle Project

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16. Black Money Movement – Business Empowerment Platform

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17. Africa Commerce Platform

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publications

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

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

UET Taxila, 2024

3. 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

4. A statistical analysis with a machine learning framework to probe in density measure suitable for cyclic resistance of sands containing non-plastic fines

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

Submitted, 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]

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

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

6. 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

7. 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

8. 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

9. 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

talks

1. Talk 1 on Relevant Topic in Your Field

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2. Tutorial 1 on Relevant Topic in Your Field

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3. Talk 2 on Relevant Topic in Your Field

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4. Conference Proceeding talk 3 on Relevant Topic in Your Field

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teaching

1. Teaching experience 1

Undergraduate course, University 1, Department, 2014

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2. Teaching experience 2

Workshop, University 1, Department, 2015

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