| Machine learning-driven predictive models for compressive strength of steel fiber reinforced concrete subjected to high temperatures R Alyousef, MF Rehman, M Khan, M Fawad, AU Khan, AM Hassan, ... Case Studies in Construction Materials 19, e02418, 2023 | 42 | 2023 |
| Optimizing durability assessment: Machine learning models for depth of wear of environmentally-friendly concrete M Khan, AU Khan, M Houda, C El Hachem, M Rasheed, W Anwar Results in Engineering 20, 101625, 2023 | 34 | 2023 |
| Predictive modeling for depth of wear of concrete modified with fly ash: A comparative analysis of genetic programming-based algorithms A Khan, M Khan, M Ali, M Khan, AU Khan, M Shakeel, M Fawad, T Najeh, ... Case Studies in Construction Materials 20, e02744, 2024 | 23 | 2024 |
| Intelligent prediction modeling for flexural capacity of FRP-strengthened reinforced concrete beams using machine learning algorithms M Khan, A Khan, AU Khan, M Shakeel, K Khan, H Alabduljabbar, T Najeh, ... Heliyon 10 (1), 2024 | 22 | 2024 |
| Predictive modeling for compressive strength of blended cement concrete using hybrid machine learning models AU Khan, R Asghar, N Hassan, M Khan, MF Javed, NA Othman, ... Multiscale and Multidisciplinary Modeling, Experiments and Design 8 (1), 25, 2025 | 1 | 2025 |
| Case Studies in Construction Materials R Alyousef, MF Rehman, M Khan, M Fawad, AU Khan, AM Hassan, ... | | |
| Design Of Civil Components of Micro Hydro Power Plant: A Case Study M Khan, A Khan, M Shakeel, AU Khan | | |
Majid KhanGraduate Research Assistant at Southern Illinois University Edwardsville, USAEmail verificata su siue.edu