1. Rahman, M. M., Hossain, M. B. & Sayed, A. (2025). Prediction of Soil Liquefaction Using Machine learning Approaches. Engineering Transactions, 73(2):1-22. doi: 10.24423/engtrans.3360.2025 (Scopus; Q3; Cite Score: 2.1) |
2. Sayed, A. and Rahman, M.M.* (2025). M5 Soft Computing Techniques for Assessment of Soil Liquefaction. Journal of Rehabilitation in Civil Engineering, 13(3), 199-214. doi: 10.22075/jrce.2025.34669.2134 (Scopus; Q3; Cite Scores: 1.2) |
3. Sayed, M. A., Rose, A. S., Hasan, M. M., Khatun, M. M., & Rashid, H. A. (2025). Machine learning approaches for water quality index prediction in Paba Upazila, Rajshahi: A comparative study of Minitab and advanced algorithms. Civil Engineering Beyond Limits 2, Volume 6, Issue 2, https://doi.org/10.36937/cebel.2025.1999 |
4. Rahman, M. M., Thakur, S., Ahmed, S. T., & Sayed, A. (in press). Development of liquefaction hazard and soil distribution maps for Dinajpur Sadar Upazila, Bangladesh. Journal of Civil Engineering, Science and Technology. |
5. Rahman, M. M., Sayed, A., Yasmin, R., & Mimi, A. (2021). Development of thematic maps of geotechnical properties for Dinajpur Municipality, Bangladesh using Arc-GIS. Journal of Science and Transport Technology (Under Review). |
6. Rahman, M.M., Sayed, M.A., Khatun, M.M., and Mimi, A. (2025). Application of Heuristic Optimization Approaches to Evaluate Compaction Parameters, Civil Engineering Beyond Limits, 2(2025), 1995. https://doi.org/10.36937/cebel.2025.1995 |
7. Rahman, M. M., Sayed, M. A., Islam, M. S., & Ali, M. E. (2025). Application of RVS and Turkish method to detect seismic vulnerability of existing RC building in Jaurul Nagar, Bogura. Journal of Brilliant Engineering, Volume 6, Issue 1, Page 4972. https://doi.org/10.36937/ben.2025.4972 |
8. Rahman, M. M., Sayed, M. A., Hossain, M. R., & Rahman, M. S. (2025). Numerical Modelling Of Square Thin Plate Using Finite Difference Method [Accepted]. 4th International Conference on Structural Engineering Research (iCSER-2025), Western Sydney University, Australia. |
9. Sayed, M. A., Rose, A. S., Saif, M. S., & Nur, S. I. M. (2025). Soil bearing capacity assessment of shallow foundations using linear regression techniques [Accepted]. International Conference on Civil Engineering Research & Innovations, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh. |
10. Rashid, M. H. A., Sayed, M. A., Mia, R., & Adhikary, S. K. (2025). Assessment of drought risk in Rajshahi Division of Bangladesh using the Standardized Precipitation Index [Accepted]. International Conference on Civil Engineering Research & Innovations, Rajshahi University of Engineering & Technology. |
11. Rahman, M. M., Hossain, M., Sayed, A., & Thakur, S. (2024). Assessment of liquefaction potential based on the logistic regression machine learning algorithm. 7 th International Conference on Civil Engineering for Sustainable Development (ICCESD 2024). https://doi.org/10.13140/RG.2.2.24047.65440 |
12. Sayed, M. A., Rose, A. S., Hasan, M. M., Khatun, M. M., & Rashid, H. A. (2024). Predictive modeling of water quality index using Minitab and machine learning algorithms: Insights from Paba Upazila, Rajshahi. In Proceedings of the International Conference on Emerging Technologies for Sustainable Development (ICETSD 2024),JUST,Bangladesh |
13. Rouf, M. A., Hossain, M. S., & Sayed, M. A. (2024). Simulation-based warhead target screening using machine learning and deep learning techniques in MATLAB. In Proceedings of the International Conference on Emerging Technologies for Sustainable Development (ICETSD 2024), JUST,Bangladesh. |