Hajee Mohammad Danesh Science and Technology University, Dinajpur-5200

Chuadanga Govt. College, Chuadanga-7200

Panch Kamlapur Aliat Nagar Secondary School, Chuadanga

November 16, 2025 to Present

November 16, 2022 to November 15, 2025

Hossain, M.B., Rahman, M.M., Roke, M.A.I. & Hamza, M.A. (2026). Experimental and Numerical Evaluation of Lime-Stabilized Soil-Pond Ash Mixtures for Geotechnical Applications. Computational Engineering and Physical Modeling, 9(1):1396.(Accepted) (Scopus; Q3; SJR: 0.15)

Sizan, M.M.A., Rahman, M.M.* & Rasel, M.O.G. (2026). GEE-Based Spatiotemporal Analysis of Rainfall Variability and Soil Erosion in Northern Bangladesh. International Journal of Environment and Geoinformatics, 13(3):01-22. (Accepted)

Nuhash, M.M.R., Rahman, M.M.,* & Roy, S. (2026). SCS–CN and GIS-Based Spatiotemporal Surface Runoff and Flow Network Analysis in the Upper Surma–Kushiyara Basin, Bangladesh. International Journal of Engineering and Geosciences, 11(3):0-19. (Accepted).  (Scopus; Q2; IF - 2.5; SJR: 0.53) 

Rasel, M.O.G., Rahman, M.M.* & Sizan, M.M.A. (2026). Investigating Spatiotemporal Patterns of Land Surface Temperature in Relation to Urbanization and Salinity in a Coastal District of Bangladesh. Brilliant Engineering, 4(2026), 41138. https://doi.org/10.36937/ben.2026.41138

Hossain, M.B., Islam, M.N., Rahman, M.M*., Bhuiyan, A.R., Rahman, F.U., & Roke, M.A.I. (2026). Sustainable Slope Stabilization Using Biochar and Vegetation Root Reinforcement. Engineering Perspective, 6 (3), 374-388. https://doi.org/10.64808/engineeringperspective.1870732 (Scopus; Q2; SJR: 0.59)

Sizan, M.M.A., Rahman, M.M*., Rasel, M.O.G., Sohan, M.S., & Nag, P. (2026). Sentinel-5P TROPOMI Data-Based Spatiotemporal Variations and Trends of Atmospheric Gaseous Pollutants in Dinajpur District, Bangladesh. International Journal of Engineering and Geosciences, 11(3), 701-721. https://doi.org/10.26833/ijeg.1841881 (Scopus; Q2; IF - 2.5; SJR: 0.796)

Rahman, M.M., Alam, M.N., & Sarder, M. (2026). GIS-Based Estimation of Corrected Standard Penetration Number Using the Best Semi-Variogram Model for Naogaon Sadar. International Journal of Engineering Technologies IJET, 11(1), 1-16. https://doi.org/10.19072/ijet.1840805

Rasel, M. O.G., Rahman, M.M.* & Sizan, M.M.A. (2026). Spatiotemporal Trends and WHO Guideline Exceedances of PM₂.₅ in Bangladesh. Civil Engineering Beyond Limits, 3(2026), 11131. https://doi.org/10.36937/cebel.2026.11131

Rahman, M. M., Nuhash, M.M.R., Ray, S., & Reza, M.S. (2026). Evaluation of machine learning algorithms in land use/land cover change detection using remote sensing and GIS for Moulvibazar, Bangladesh. Turkish Journal of Engineering, 10(3), 50-61. https://doi.org/10.31127/tuje.1823517 (Scopus; Q2; SJR: 0.33)

Islam, M.A., Rahman, M.M.* & Chy., M.J.A. (2026). Influence of Casting Delay on Concrete Compressive Strength. Challenge Journal of Concrete Research Letters, 17(2), 82–93. https://doi.org/10.20528/cjcrl.2026.02.001 (Scopus; Q3; SJR: 0.24)

Rahman, M. M., & Biswas, M. E. (2026). Machine Learning Algorithm-Based Prediction of Groundwater Table in Bogura District, Bangladesh. Turkish Journal of Engineering, 10(3), 936-947. https://doi.org/10.31127/tuje.1808553 (Scopus; Q2; SJR: 0.33)

Rahman, M.M., and Hossain, M.B. (2026). Assessment and Mitigation of Liquefaction Vulnerability for Selected Zones of Bogura Sadar, Bangladesh, Brilliant Engineering, 2(2026), 41092. https://doi.org/10.36937/ben.2026.41092

Hossain, M.B., Puspo, S.A., Meem, M., and Rahman, M.M. (2026). Experimental Evaluation of Strength Improvement in Class F Pond Ash through Cement Stabilization and Jute Fiber Reinforcement, Civil Engineering Beyond Limits, 1(2026), 11087. https://doi.org/10.36937/cebel.2026.11087

Rahman, M. M., & Sayed, A. (2025). Application of cross-validation approaches to examine soft computing systems for forecasting soil liquefaction. Big Data and Earth System (Elsevier). 100038. https://doi.org/10.1016/j.bdes.2025.100038 

Rahman, M. M., Thakur, S., Ahmed, S.T., and Sayed. A. (2026). Development of Liquefaction Hazard Map for Dinajpur Municipality, Bangladesh. Journal of Civil Engineering, Science and Technology, 17(1): 19-29. https://doi.org/10.33736/jcest.7382.2026

Rahman, M,M., Islam, M.T., Roknuzzaman, M. Ansari, S., Hossain, M,N., (2025). GIS-Based Physiochemical and Regression Analysis of Drinking Water Quality in Dhaka South City Corporation, Bangladesh. International Journal of Engineering and Geosciences, 11 (2), 321-335. https://doi.org/10.26833/ijeg.1705195 (Scopus; Q2; IF - 2.5; SJR: 0.53)

Rahman, M. M., Thakur, S., Ahmed, S. T., Yasmin, R. (2025). GIS-based development of liquefaction hazard and soil distribution maps for Dinajpur Sadar, Bangladesh. International Journal of Engineering and Geosciences, 11(2), 263-273. https://doi.org/10.26833/ijeg.1662672 (Scopus; Q2; IF - 2.5; SJR: 0.53)

Rahman, M. M., Sarder M., (2026). GIS-based semi-variogram model selection for the preparation of Modified Mercalli Intensity map of Dinajpur Sadar, Bangladesh. International Journal of Engineering and Geosciences, 11(1), 136-148. https://doi.org/10.26833/ijeg.1656666.(Scopus; Q2; IF - 2.5; SJR: 0.53)

Rahman, M. M., Hossain, M. B. & Sayed, A. (2025). Prediction of Soil Liquefaction Using Machine learning Approaches. Engineering Transactions, 73(2):1-22. https://doi.org/10.24423/engtrans.3360.2025  (Scopus; Q3; IF - 1.0; Cite Score: 2.1)

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

Rahman, M.M.* (2025). GIS based allowable bearing capacity thematic maps of shallow foundation for Bogura District, Bangladesh. International Journal of Engineering and Geosciences, 10(3), 329-338. https://doi.org/10.26833/ijeg.1589939  (Scopus; Q2; IF - 2.5; SJR: 0.53)

Roknuzzaman, M., Rahman, M.M.* and Islam, M.M. (2025). Performance and Usability Assessment of Recycled Aggregate Extracted from Demolished Concrete Subjected to Multiple Recycling. Journal of Rehabilitation in Civil Engineering, 13(4), 163-179. doi:  10.22075/jrce.2025.35008.2158  (Scopus; Q3; Cite Scores: 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)

Hossain, M. B., & Rahman, M.M.* (2025). Seismic Microzonation and Probability of Ground Failure Assessment Caused by Liquefaction for Bogura District, Bangladesh. Journal of Rehabilitation in Civil Engineering, 13(2), 218-242. doi: 10.22075/jrce.2024.34111.2086 (Scopus; Q3; Cite Scores: 1.2)

Roknuzzaman, M., Serker, NHM. K., & Rahman, M.M.* (2024). Old residual mortar as a quality indicator of recycled brick aggregate. Sustainable Structures, 4(3): 000061. doi: 10.54113/j.sust.2024.000061 (Scopus; Q1; IF-9.0; Cite Scores: 13.1)

Roknuzzaman, M., & Rahman, M.M.* (2024). Compressive strength of recycled green concrete affected by chloride and sulfate exposures. Journal of Rehabilitation in Civil Engineering, 12(4), 55-65. doi:  10.22075/jrce.2024.32378.1938  (Scopus; Q3; Cite Scores: 1.2)

Rashid, M.H.A., Kabir, M.H., Rahman, M.M.* & Ahmed, R., Compressibility Characteristics of Southwest Bangladesh Organic Soil Stabilized with Sand Columns, Civil Engineering Beyond Limits, 4(2022),1731. https://doi.org/10.36937/cebel.2022.1731.

Hossain, M.B., Roknuzzaman, M., and Rahman, M.M. 2022. Liquefaction Potential Evaluation by Deterministic and Probabilistic Approaches. 8(7):1459-1481. http://dx.doi.org/10.28991/CEJ-2022-08-07-010 (Scopus; Q1; IF - 4.9; Cite Scores: 6.5)

Hossain, M.B., Rahman, M.M., and Haque, M.R. (2021). Empirical Correlation between Shear Wave Velocity (Vs) and Uncorrected Standard Penetration Resistance (SPT-N) for Dinajpur District, Bangladesh. Journal of Nature, Science & Technology, 3(2021):25-29. https://doi.org/10.36937/janset.2021.003.005

Ray, S., Nuhash, M.M.R., & Rahman, M.M.* (2026). A Multi-Criteria AHP Approach for Landslide Susceptibility Zonation in Moulvibazar District Using GIS and Remote Sensing. Proceedings of the 6th Annual Paper Meet of Civil Engineering Division of Institutions of Engineers, (APMCE2026), 11-12 July 2026, IEB Headquarters, Dhaka, Bangladesh.

Hossain, M.B., Roke, M.A.I, Hamza, M.A. & Rahman, M.M. (2026). Physicochemical and Mineralogical Assessment of Barapukuria Thermal Power Plant (BTPP) Pond Ash. Proceedings of the 8th International Conference on Civil Engineering for Sustainable Development, 5-7 February 2026, Khulna University of Engineering & Technology, Khulna, Bangladesh.

Rahman, M.M.,* Hossain, M.B., Islam, M.A., and Rahaman, M.S. (2026). Evaluation of Ground Failure Probability Caused by Soil Liquefaction for Bogura Sadar, Bangladesh. Proceedings of the 8th International Conference on Civil Engineering for Sustainable Development, 5-7 February 2026, Khulna University of Engineering & Technology, Khulna, Bangladesh.

Poddar, D., Alam, M.N., Hossen, M.S. and Rahman, M.M. (2025). Geospatial Estimation of Corrected SPT-N Values Using Optimal Semi-Variogram Modeling in GIS: A Case Study of Bashundhara City. Presented at the RUEC 1st International Research Conference, Rajshahi.

Rahman, M.M., Sakib, N., Yasmin, R., & Ahmed, R. (2025). Assessing Heat Index Changes in the Context of Climate Change in Bangladesh.  Proceedings of the International Conference on Civil Engineering Research & Innovations, Rajshahi, Bangladesh.

Rahman, M.M., Shipon, M.H., & Sakib, M.O.R. (2025). Analysis of Overloading Effect and Service Life Prediction of the Beldanga-Dinajpur Road.  Proceedings of the International Conference on Civil Engineering Research & Innovations, Rajshahi, Bangladesh.

Rahman, M.M., Nuhash, M.M.R., & Ray, S. (2025). Effect of Land Use/Land Cover (LULC) Changes on Land Surface Temperature for Chuadanga, Bangladesh. Proceedings of the International Conference on Civil Engineering Research & Innovations, Rajshahi, Bangladesh.

Rahman, M.M., Ray, S., Nuhash, M.M.R. (2025). Spatial and time-series analysis of aerosol optical depth over Rangpur District, Bangladesh. Presented in 3rd International Poster Competition for Young Researchers.

Mimi, A., Roy, N.C., Swarna, S.S.A. & Rahman, M.M.* (2025). GIS and Remote Sensing-Based Method for Land Surface Temperature Change Mapping for 2004 to 2024 for Rangpur District. International Conference on Emerging Technologies for Sustainable Development (ICETSD 2025), Bangladesh.

Alam, M.N & Rahman, M.M.* (2025). GIS-Based Estimation of Corrected Standard Penetration Number Using the Best Semi-Variogram Model for Naogaon Sadar. International Conference on Emerging Technologies for Sustainable Development (ICETSD 2025), Bangladesh.

Rahman, M.M.,* Roknuzzaman, M., Muntaha, J., Ray, A., and Azad, M.N. (2024). Development of Regression Equations for the California Bearing Ratio of Cohesionless Soil. Presented at the 7th International Conference on Civil Engineering for Sustainable Development (ICCESD 2024), Bangladesh.

Rahman, M.M.,* Hossain, M.B., Sayed, A., and Thakur, S. (2024). Assessment of Liquefaction Potential Based on the Logistic Regression Machine Learning Algorithm. Presented at the 7th International Conference on Civil Engineering for Sustainable Development (ICCESD 2024), Bangladesh.

Rahman, M.M.,* Hossain, M.B., and Roknuzzaman, M. (2023). Effect of peak ground acceleration (PGA) on liquefaction behavior of subsoil: A case study of Dinajpur Sadar Upazilla, Bangladesh.  AIP Conference Proceedings 2713, 030002 (28 April 2023)  doi: https://doi.org/10.1063/5.0129770 (SCOPUS)

Mostazid, M.I., Rahman, M.M.,* and Mahbur, M. (2019). Seismic Vulnerability Assessment of Existing RCC Buildings in Dinajpur City: A Case Study on Ward No. 6, Presented at the International Conference on Planning, Architecture and Civil Engineering (ICPACE 2019), organized by RUET, Bangladesh.

Funded by: Institute of Research and Training (IRT), Hajee Mohammad Danesh Science and Technology University

Position: Co-PI

Description: Using sustainable materials has become an increasingly significant topic for geotechnical researchers and engineers. The burning of coal for energy generates vast amounts of pond ash, posing a severe disposal concern and developing environmental and health issues. In Bangladesh, where the land-to-population ratio is too low, it is difficult to dispose of pond ash over a large land area. So, to address the aforementioned issue, it is critical to use pond ash in such a way that it does not affect the ecosystem. The purpose of this research is to evaluate the suitability of pond ash and soil-pond ash mixes for geotechnical applications using a variety of laboratory experiments. Specific Gravity, fineness, gradation, texture, and physical and chemical features of pond ash samples will be determined in a laboratory using samples taken from the Barapukuria Coal-Based Thermal Power Plant under the standard sampling method. Pond ash in various amounts and the impact of this addition will be investigated by an examination of the geomaterial's compaction, swelling, strength, and California bearing ratios. The applicability of pond ash applications for slope stabilization, road subgrade, embankment, and structural fill material will be examined in this study. This research will offer significant perspectives for the enhancement and employment of pond ash in diverse geotechnical contexts.

Funded by: Institute of Research and Training (IRT), Hajee Mohammad Danesh Science and Technology University

Position: Co-PI

Description: The aim of this study is to create a Mercalli intensity map and evaluate the ground failure probability caused by liquefaction in the Bogura district. To generate a Mercalli intensity seismic microzonation map, first the shear wave velocity (Vs) was determined by analyzing data from 345 soil test reports. The conversion of Vs to site amplification factor (AF) and Peak Ground Acceleration (PGA) was carried out using the widely used empirical equations, considering earthquake magnitudes 1850–2023. Finally, the susceptibility of liquefaction was evaluated for the study area using 345 borehole data, considering a probable earthquake magnitude and site-specific PGA. Some of the frequently used empirical methods are utilized for the evaluation, and the results are presented in the form of hazard maps indicating factors of safety, liquefaction potential, and ground failure probability. The results demonstrate that the least and maximum PGA are both 0.06 g and 0.16 g, while the AF ranges from 1.903 to 3.98 between the minimum and maximum. Moreover, the surface acceleration (SA) varies between 0.143 g and 0.51 g. Based on the Mercalli Intensity seismic microzonation map, 22.45% of the areas have intensity VII, 72.9% of the regions have intensity VIII, and 4.65% of the areas have intensity IX. The hazard map reveals that 2% of the study region is judged to be at extremely high risk for ground failure due to liquefaction during the scenario earthquake. Additionally, it was determined that 13% and 44% of the study region's regions were at high or moderate risk of ground failure under the aforementioned earthquake scenario. The intensity and hazard maps created for Bogura district are crucial to achieving sustainable development goals.

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URL: https://scholar.google.com/citations?user=kHyhIw8AAAAJ&hl=en

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