AM
Abinash Mohanta
Capital Engineering College Khordha, Vellore Institute of Technology University, National Institute of Technology Rourkela
Research areas: Engineering · Civil and Structural Engineering · Hydrology and Sediment Transport Processes · Hydraulic flow and structures · Hydrological Forecasting Using AI
0000-0001-9335-6214
Employment
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Capital Engineering College Khordha Associate Professor, Head of the Department2025 - Present
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Vellore Institute of Technology University Assistant Professor (Sr.)2019 - 2024
Education
- 2014 - 2019
Projects & Funding
Projects & funding information is unavailable.
Publications (24)
- Machine Learning Approaches for Estimating Roughness Coefficients in Two-Stage Sinuous Channels Save
- Machine Learning Approaches for Estimating Roughness Coefficients in Two-Stage Sinuous Channels Save
- A Study on the Strength and Consolidation Characteristics of High-Concentrated Ash Slurry Save
- Exploration of Boundary Layer Transition Through Various Roughness Patterns Save
- Anticipating Surface Mean Pressure Coefficient on Inner Surface of C-Shaped Irregular Buildings Using Artificial Intelligence Methodology Save
- Numerical and Artificial Intelligence Techniques of Predicting Velocity Distribution in Compound Meandering Flows Save
- Closure to “Determination of Discharge Distribution in Meandering Compound Channels Using Machine Learning Techniques” by Abinash Mohanta, Arpan Pradhan, and K. C. Patra Save
- Validation of Computational Fluid Dynamics Approach of Lateral Velocity Profile Due to Curvature Effect on Floodplain Levee of Two-stage Meandering Channel Save
- Determination of Discharge Distribution in Meandering Compound Channels Using Machine Learning Techniques Save
- Assessment of Shear Stress Distribution in Meandering Compound Channels with Differential Roughness Through Various Artificial Intelligence Approach Save
- Gene-expression programming for calculating discharge in meandering compound channels Save
- Prediction of Wind-Induced Mean Pressure Coefficients Using GMDH Neural Network Save
- Enhanced Channel Division Method for Estimation of Discharge in Meandering Compound Channel Save
- Gene-expression programming for the assessment of surface mean pressure coefficient on building surfaces Save
- Multivariate adaptive regression spline approach to the assessment of surface mean pressure coefficient on surfaces of C-shaped building Save
- MARS for Prediction of Shear Force and Discharge in Two-Stage Meandering Channel Save
- Anticipate Manning’s Coefficient in Meandering Compound Channels Save
- LES Modeling with Experimental Validation of a Compound Channel having Converging Floodplain Save
- Modelling of Wind Pressure Coefficients on C-Shaped Building Models Save
- CFD Simulation And Two Phase Modeling Of a Compound Meandering Channel Save