Journals
Basumatary S and Maji S (2026). From Hillslope Runoff to Channel Migration: A Multi-Scale Decision-Support Framework for Sustainable Water Management in an Eastern Himalayan Foothill Region. Journal of Hydrology: Regional Studies. Elsevier. https://doi.org/10.1016/j.ejrh.2026.103950.
Basumatary, M., Maji, S., & Kumar, B. (2026). Deep Learning-Based Prediction of Incipient Motion in Alluvial Channel. Iranian Journal of Science and Technology, Transactions of Civil Engineering. Springer. https://doi.org/10.1007/s40996-026-02220-1.
Basumatary S, Maji S, Yachang O, Brahma J, Paron O and Swargiary D (2026). Hydrological Performance Assessment of SWAT Model in Beki River Basin: Implications for Sustainable Watershed Management in Northeast India. Journal of Studies in Science and Engineering. (Accepted)
Basumatary S and Maji S (2026). Surface runoff modeling at the event scale, incorporating sensitivity and uncertainty analysis within a foothill watershed. Global Journal of Environmental Science and Management. https://doi.org/10.22034/gjesm.2026.03.21.
Basumatary S and Maji S (2026). Integrated GIS and AHP framework for groundwater potential mapping in a Himalayan foothill district of Northeast India. Scientific Reports. https://doi.org/10.1038/s41598-026-39210-2.
Paul, A., & Maji, S. (2026). Regional Climate Review: CMIP6 GCM Precipitation Patterns In Northeast India. Journal of The Institution of Engineers (India) Series A. Springer. https://doi.org/10.1007/s40030-025-00943-4.
Basumatary, M., Maji, S., & Kumar, B. (2025). SHAP-Based Interpretation of Machine Learning Models in Bed Load Transport Prediction. Modeling Earth Systems and Environment. Springer. https://doi.org/10.1007/s40808-025-02679-3.
Senapati, A., Paron, O., & Maji, S. (2025). Correlation-based Breakpoint Detection for Piecewise Linear Regression. Journal of Applied Mathematics and Informatics. Vol. 43(2025), No. 6, pp. 1687- 1708. https://doi.org/10.14317/jami.2025.1687 .
Basumatary, M., Wary, P., Maji, S., & Kumar, B. (2024). Advanced Intelligence Model for Prediction of Sediment Transport Rate and Friction Factor in Alluvial Channel. Multiscale and Multidisciplinary Modeling, Experiments and Design. Springer. Vol 7. pp.5915–5931 https://doi.org/10.1007/s41939-024-00563-8.
Maji, S., Swargiary, D., Senapati, A., & Sikdar, U. (2024). ML and AI-Based Prediction of Precipitation Trends. Procedia Computer Science, Elsevier. 235, 2279-2287. https://doi.org/10.1016/j.procs.2024.04.216.
Hubballi, R., & Maji, S. (2024). Mitigation of Flash Floods in Kokrajhar of the State of Assam in North East India. Sustainability, Agri, Food and Environmental Research. 12(2). https://doi.org/10.7770/safer-V13N1-art599.
Maji, S., Senapati, A. & Mondal, A. (2023). A study on hydrodynamics of rigid and emergent vegetated flows using machine learning approach. Innovations in Systems and Software Engineering: A NASA Journal. Springer. https://doi.org/10.1007/s11334-022-00519-6
Senapati, A., Nag, A., Mondal, A. & Maji, S. (2021). A novel framework for COVID-19 case prediction through piecewise regression in India. International Journal of Information Technology. Springer. 13, 41–48. https://doi.org/10.1007/s41870-020-00552-3.
Maji, S., Hanmaiahgari, P.R., Balachandar, R., Pu, J.H., Ricardo, A.M., & Ferreira, R.M. (2020). A Review on Hydrodynamics of Free Surface Flows in Emergent Vegetated Channels. Water. 12(4), 1218. https://doi.org/10.3390/w12041218.
3. Maji, S., Pal, D., Hanmaiahgari, P. R., & Gupta, U. P. (2017). Hydrodynamics and turbulence in emergent and sparsely vegetated open channel flow. Environmental Fluid Mechanics. Springer. 1-25. https://doi.org/10.1007/s10652-017-9531-2.
Maji, S., Pal, D., Hanmaiahgari, P. R., & Pu, J. H. (2016). Phenomenological Features of Turbulent Hydrodynamics in Sparsely Vegetated Open Channel Flow, Journal of Applied Fluid Mechanics. 9(6). https://doi.org/10.29252/jafm.09.06.26202.
Maji, S., Hanmaiahgari, P. R., & Dey, S. (2014). Experimental studies of local scour in the pressurized OCF below a wooden log across the flow. Sadhana. Springer. 39(5), 1245-1257. https://doi.org/10.1007/s12046-014-0267-0.