Bhabani Shankar Das

National Institute of Technology — Japan

Environmental Science · Physical Sciences

24h-index2.1kcitations116works2.82yr avg
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Research Topics

Hydrology and Sediment Transport Processes(49), Hydraulic flow and structures(48), Hydrology and Watershed Management Studies(18), Flood Risk Assessment and Management(13), Malaria Research and Control(10)

Publications115 total

Bridge pier scour depth modelling using experimental and machine learning approaches
Marine Georesources and Geotechnology·2026
Hydrodynamic zones in river confluences: a comprehensive review of challenges and future research prospects
Hydrological Sciences Journal·2025
Disaster management with efficient user allocation using quantum-inspired cuckoo search and UAV-edge computing
Cluster Computing·2025
Review on Electrocatalytic CO<sub>2</sub> Reduction: From Molecular Mechanisms to Scalable Systems
Energy & Fuels·2025· 1 cited
Soft computing techniques for predicting thermal conductivity of bentonite–fly ash/-sand composite materials
Neural Computing and Applications·2025
Long-term Provincial Load Forecasting In the Context of DERs: A Hybrid Approach
2025
A holistic methodology for evaluating flood vulnerability, generating flood risk map and conducting detailed flood inundation assessment
Scientific Reports·2025· 6 citedOpen Access
An experimental investigation and dimensional analysis for zonal flow prediction in compound open channels
ISH Journal of Hydraulic Engineering·2025
Micro-Electrolysis Assisted Floating Vegetated System (ME-FVS): A Novel Hybrid System for Wastewater Treatment Focusing on Experiment and Modeling
Water Air & Soil Pollution·2025
Molecular dynamics simulation of diamond tool cutting: temperature, stress, and tool integrity analysis
Molecular Simulation·2025· 1 cited
Prediction of Thermal Diffusivity of Non-Plastic Soil for the Design of Ground Heat Exchanger Using Machine Learning Approach
Indian geotechnical journal·2025· 3 cited
Modelling of live bed scour depth around bridge pier using machine learning techniques
2025
ANFIS and GEP applications in predicting boundary shear in two-stage open channel flow
2025
Prediction of discharge in compound channel with converging and diverging floodplain using different machine learning approach
2025
Machine Learning approach for bed shear stress distribution in compound channel flows
2025
Estimation of Bridge Pier Scour Depth Under Clear Water and Live Bed Scouring Conditions Using MARS and ETR Machine Learning Technique
Iranian Journal of Science and Technology Transactions of Civil Engineering·2025· 2 cited
Review on modelling approaches of raceway pond: experimental, numerical and machine learning approaches
ISH Journal of Hydraulic Engineering·2025· 6 cited
Fertility Restoration Following Myomectomy and Unilateral Oophorectomy for Large Fibroid and Ovarian Tumor: A Case Report
Scholars Journal of Medical Case Reports·2025Open Access
Velocity and Shear Distribution in Converging Compound Channel Using Large Eddy Simulation (LES) Turbulence Model
Lecture notes in civil engineering·2025· 1 cited
Discharge Prediction in Meandering Compound Channel Using ANN PSO and M5 Tree
Lecture notes in civil engineering·2025· 1 cited
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Frequent Co-authors

Kishanjit Kumar Khatua(12), Kamalini Devi(10), Anubhav Baranwal(8), Nagaratnam Sivakugan(5), Aaron Mohanty(4), Sastry Kolluri Venkatrama(4), C. R. Patra(4), Dilip Kumar Patel(4), Ranjeet Singh Mashon(4), Siris Patel(4), Jnana Ranjan Khuntia(4), Bangalore A. Chandramouli(3), Sarala Das(3), Basrur Ravimohan Rao(3), Vinod K. Srivastava(3), Sudhanshu S. Pati(3), Surya K Sharma(3), Chetan E. Chitnis(3), Preetinanda M. Dash(3), Nalini K. Nanda(2)