2009 B.Tech in Civil Engineering from Biju Patnaik University of Technology (BPUT), Rourkela
2013 M.Tech in Hydraulic and Water Resources Engineering from IIT Kharagpur
2018 PhD in Hydraulic and Water Resources Engineering from IIT Kharagpur
28
Scopus Publications
173
Scholar Citations
6
Scholar h-index
4
Scholar i10-index
Scopus Publications
Integrated GIS and AHP framework for groundwater potential mapping in a Himalayan foothill district of Northeast India Sagar Basumatary, Soumen Maji Scientific Reports, 2026 Groundwater plays a crucial role in sustaining agriculture, drinking water supply, and socio-economic development, particularly in the Eastern Himalayan Foothills, where surface water availability is highly variable and hydrogeological conditions are complex. In Baksa District, Assam, groundwater occurrence is strongly influenced by steep slopes, high runoff, intense monsoonal rainfall, and structural controls, making groundwater assessment challenging and underscoring the need for a region-specific and validated approach. The objective of this study is to delineate groundwater potential zones using an integrated Geographic Information System (GIS) and Analytical Hierarchy Process (AHP) framework tailored to the foothill environment. Seven thematic factors were systematically evaluated and weighted based on their influence on groundwater. The resulting Groundwater Potential Index (GWPI) classified the study area into five categories. Model validation was carried out using groundwater depth data from 11 Central Ground Water Board (CGWB) observation wells for the period 2019–2020, and predictive performance was assessed through Receiver Operating Characteristic (ROC) curve analysis. An Area Under the Curve (AUC) value of 0.80 indicates good agreement between predicted groundwater potential zones and observed groundwater conditions, confirming the reliability of the proposed approach. High- to very-high groundwater potential zones are mainly associated with flat terrain, while foothill transition areas show reduced potential owing to steep slopes and enhanced runoff. The study demonstrates that the GIS-AHP framework, supported by field-based validation, provides a reliable decision-support tool for groundwater resource planning, artificial recharge site identification, and sustainable water management in data-scarce foothill regions of the Eastern Himalayas.
ML and AI-Based Prediction of Precipitation Trends Soumen Maji, Debshri Swargiary, Apurbalal Senapati, Utpal Sikdar Procedia Computer Science, 2024 Rainfall patterns are vital in shaping ecosystems and supporting life on Earth. However, changing rainfall distribution and intensity due to environmental factors and climate change have become increasingly evident in recent years. This study aims to utilize machine learning (ML) and Artificial intelligence (AI) techniques to predict rainfall trends in the Kokrajhar region, a district in Assam, India. Accurate rainfall prediction is crucial for effective water resource management, agriculture planning, and disaster preparedness in the area. To achieve this objective, 31 years of historical rainfall data from Kokrajhar have been collected. Various machine learning algorithms, including Random Forests, MLP, ETS, and MEDIAN, have been employed. The models were trained and evaluated using the data set, with performance metrics mean absolute percentage error (MAPE). The results suggest that the ETS model (Average MAPE 424.11% after removing outliers) exhibited the best performance among the other models in the second fold. In the third fold, the MLP model outperformed the others. These findings demonstrate the effectiveness of AI and ML techniques in predicting rainfall trends in the Kokrajhar area.
Data representation and performance in a prediction model Mathematics and Computer Science, 2023
A Knowledge based Approach to Analyze the Sentiment of Online Reviews Alok Ranjan Pal, Yogesh Kumar Mishra, Soumen Maji, Subhapriya Sen, Partha Pratim Manna 2018 International Conference on Recent Innovations in Electrical Electronics and Communication Engineering Icrieece 2018, 2018
Turbulent hydrodynamics through cross-sections at upstream, interior and downstream of sparse vegetation patch in open channel flow River Sedimentation Proceedings of the 13th International Symposium on River Sedimentation Isrs 2016, 2017
Comparison of turbulent features through upstream, interior and downstream of sparsely vegetated open channel turbulent flow River Flow 2016 Iowa City Usa July 11 14 2016, 2016
Comparison of imd and CMIP5 rainfall products for annual daily extreme precipitation: India Soil and Water Engineering Principles and Applications of Modeling, 2016
Integrated GIS and AHP framework for groundwater potential mapping in a Himalayan foothill district of Northeast India S Basumatary, S Maji Scientific Reports , 2026 2026
Regional Climate Review: CMIP6 GCM Precipitation Patterns in Northeast India A Paul, S Maji Journal of The Institution of Engineers (India): Series A, 1-10 , 2026 2026
SHAP-based interpretation of machine learning models in bed load transport prediction MM Basumatary, S Maji, B Kumar Modeling Earth Systems and Environment 12 (1), 65 , 2026 2026 Citations: 1
A study on hydrodynamics of rigid and emergent vegetated flows using machine learning approach S Maji, A Senapati, A Mondal Innovations in Systems and Software Engineering 21 (1), 271-278 , 2025 2025 Citations: 4
Advanced intelligence model for prediction of sediment transport rate and friction factor in alluvial channel MM Basumatary, P Wary, S Maji, B Kumar Multiscale and Multidisciplinary Modeling, Experiments and Design 7 (6 … , 2024 2024 Citations: 4
ML and AI-based prediction of precipitation trends S Maji, D Swargiary, A Senapati, U Sikdar Procedia computer science 235, 2279-2287 , 2024 2024 Citations: 8
Mitigation of Flash Floods in Kokrajhar of the State of Assam in North East India R Hubballi, S Maji Sustainability, Agri, Food and Environmental Research-DISCONTINUED 12 (2) , 2024 2024
Applications for Water Resources Management in Foot-Hill: A Comprehensive Review S Basumatary, S Maji International Conference on Hydraulics, Water Resources and Coastal … , 2023 2023 Citations: 2
Data Representation and Performance in a Prediction Model A Senapati, S Maji, A Mondal Mathematics and Computer Science Volume 1, 271-284 , 2023 2023
Dissolution and Precipitation Effect on Salinity Ingestion During Flow Through Biotic and Abiotic Porous Media B Narzary, S Maji, M Ronghang International Association for Hydraulic Environmental Engineering and … , 2022 2022
A Fuzzy String Matching-Based Reduplication with Morphological Attributes A Senapati, A Mondal, S Maji Pattern Recognition and Data Analysis with Applications, 183-190 , 2022 2022 Citations: 1
Subsurface Flow Characteristics in and Around Kokrajhar, Assam P Borah, S Maji North-East Research Conclave, 121-135 , 2022 2022
Unsteady Flow Model of Gaurang River at Kokrajhar Using HEC-RAS 6.0 T Basumatary, S Maji North-East Research Conclave, 201-210 , 2022 2022
Prediction of Transient Bed Profiles in an Aggrading Stream Using ANN A Das, V Kumar, S Maji North-East Research Conclave, 139-155 , 2022 2022
Investigation and validation of flow characteristics through emergent vegetation patch using machine learning technique S Maji, A Senapati, A Mondal Evolution in Computational Intelligence: Proceedings of the 9th … , 2022 2022 Citations: 4
A Sustainable Approach for Flood Mitigation in Kokrajhar, Assam S Basumatary, S Maji, D Swargiary International Conference on Hydraulics, Water Resources and Coastal … , 2021 2021 Citations: 1
A novel framework for COVID-19 case prediction through piecewise regression in India A Senapati, A Nag, A Mondal, S Maji International Journal of Information Technology 13 (1), 41-48 , 2021 2021 Citations: 45
Limitations and Implications of Doubling Time Approach in COVID-19 Infection Spreading Study: A Gradient Smoothing Technique A Senapati, S Maji, A Mondal Data Preprocessing, Active Learning, and Cost Perceptive Approaches for … , 2021 2021
Piece-wise linear regression: A new approach to predict COVID-19 spreading A Senapati, S Maji, A Mondal IOP Conference Series: Materials Science and Engineering 1020 (1), 012017 , 2021 2021 Citations: 8
A review on hydrodynamics of free surface flows in emergent vegetated channels S Maji, PR Hanmaiahgari, R Balachandar, JH Pu, AM Ricardo, ... Water 12 (4), 1218 , 2020 2020 Citations: 46
MOST CITED SCHOLAR PUBLICATIONS
A review on hydrodynamics of free surface flows in emergent vegetated channels S Maji, PR Hanmaiahgari, R Balachandar, JH Pu, AM Ricardo, ... Water 12 (4), 1218 , 2020 2020 Citations: 46
A novel framework for COVID-19 case prediction through piecewise regression in India A Senapati, A Nag, A Mondal, S Maji International Journal of Information Technology 13 (1), 41-48 , 2021 2021 Citations: 45
Hydrodynamics and turbulence in emergent and sparsely vegetated open channel flow S Maji, D Pal, PR Hanmaiahgari, UP Gupta Environmental Fluid Mechanics 17 (4), 853-877 , 2017 2017 Citations: 30
Phenomenological Features of Turbulent Hydrodynamics in Sparsely Vegetated Open Channel Flow S Maji, D Pal, PR Hanmaiahgari, JH Pu Journal of Applied Fluid Mechanics 9 (6) , 2016 2016 Citations: 14
ML and AI-based prediction of precipitation trends S Maji, D Swargiary, A Senapati, U Sikdar Procedia computer science 235, 2279-2287 , 2024 2024 Citations: 8
Piece-wise linear regression: A new approach to predict COVID-19 spreading A Senapati, S Maji, A Mondal IOP Conference Series: Materials Science and Engineering 1020 (1), 012017 , 2021 2021 Citations: 8
A study on hydrodynamics of rigid and emergent vegetated flows using machine learning approach S Maji, A Senapati, A Mondal Innovations in Systems and Software Engineering 21 (1), 271-278 , 2025 2025 Citations: 4
Advanced intelligence model for prediction of sediment transport rate and friction factor in alluvial channel MM Basumatary, P Wary, S Maji, B Kumar Multiscale and Multidisciplinary Modeling, Experiments and Design 7 (6 … , 2024 2024 Citations: 4
Investigation and validation of flow characteristics through emergent vegetation patch using machine learning technique S Maji, A Senapati, A Mondal Evolution in Computational Intelligence: Proceedings of the 9th … , 2022 2022 Citations: 4
Eddy Viscosity Turbulence Model for Incompressible Fluid Flow in Closed Conduits PR Hanmaiahgari, S Maji Proceedings of the 19th IAHR-APD Congress, Hanoi, Vietnam 21 , 2014 2014 Citations: 3
Applications for Water Resources Management in Foot-Hill: A Comprehensive Review S Basumatary, S Maji International Conference on Hydraulics, Water Resources and Coastal … , 2023 2023 Citations: 2
SHAP-based interpretation of machine learning models in bed load transport prediction MM Basumatary, S Maji, B Kumar Modeling Earth Systems and Environment 12 (1), 65 , 2026 2026 Citations: 1
A Fuzzy String Matching-Based Reduplication with Morphological Attributes A Senapati, A Mondal, S Maji Pattern Recognition and Data Analysis with Applications, 183-190 , 2022 2022 Citations: 1
A Sustainable Approach for Flood Mitigation in Kokrajhar, Assam S Basumatary, S Maji, D Swargiary International Conference on Hydraulics, Water Resources and Coastal … , 2021 2021 Citations: 1
Turbulent Flow Characteristics in Interior and Wake Region of Emergent and Sparse Vegetation Patch S Maji, PR Hanmaiahgari, R Balachandar, V Roussinova International Congress and Exhibition" Sustainable Civil Infrastructures … , 2018 2018 Citations: 1
Experimental studies of local scour in the pressurized OCF below a wooden log across the flow S Maji, PR Hanmaiahgari, S Dey Sadhana 39 (5), 1245-1257 , 2014 2014 Citations: 1
Integrated GIS and AHP framework for groundwater potential mapping in a Himalayan foothill district of Northeast India S Basumatary, S Maji Scientific Reports , 2026 2026
Regional Climate Review: CMIP6 GCM Precipitation Patterns in Northeast India A Paul, S Maji Journal of The Institution of Engineers (India): Series A, 1-10 , 2026 2026
Mitigation of Flash Floods in Kokrajhar of the State of Assam in North East India R Hubballi, S Maji Sustainability, Agri, Food and Environmental Research-DISCONTINUED 12 (2) , 2024 2024
Data Representation and Performance in a Prediction Model A Senapati, S Maji, A Mondal Mathematics and Computer Science Volume 1, 271-284 , 2023 2023