A5087688538- Hydrological Forecasting Using AI
- Groundwater flow and contamination studies
- Reservoir Engineering and Simulation Methods
- Advancements in Semiconductor Devices and Circuit Design
- Hydrology and Watershed Management Studies
- Groundwater and Isotope Geochemistry
- Quantum and electron transport phenomena
- Plant Water Relations and Carbon Dynamics
- Solar Radiation and Photovoltaics
- Agricultural Economics and Practices
- Water resources management and optimization
- Semiconductor Quantum Structures and Devices
- Molecular Junctions and Nanostructures
- Surface and Thin Film Phenomena
- Irrigation Practices and Water Management
- Water Quality Monitoring Technologies
- Integrated Circuits and Semiconductor Failure Analysis
- Agricultural risk and resilience
- Semiconductor materials and devices
- Hydrology and Drought Analysis
- Agricultural Science and Fertilization
- Force Microscopy Techniques and Applications
- Energy Load and Power Forecasting
- Climate variability and models
- Ethnobotanical and Medicinal Plants Studies
Bangladesh Agricultural Research Institute
2014-2025
North Bengal Medical College and Hospital
2024
Agricultural Research Service
2024
Arkansas State University
2024
United States Department of Agriculture
2024
Delta Water Management Research Unit
2024
Hajee Mohammad Danesh Science and Technology University
2023
Technische Universität Berlin
2021
Bangladesh Rice Research Institute
2021
James Cook University
2016-2020
Precise forecasting of reference evapotranspiration (ET0) is one the critical initial steps in determining crop water requirements, which contributes to reliable management and long-term planning world’s scarce sources. This study provides daily prediction multi-step forward ET0 utilizing a long short-term memory network (LSTM) bi-directional LSTM (Bi-LSTM) model. For predictions, model’s accuracy was compared that other artificial intelligence-based models commonly used forecasting,...
Abstract This study evaluated the rainfall historical simulations of 15 Global Climate Models (GCMs) Coupled Model Intercomparison Project phase 6 (CMIP6) in replicating annual and seasonal climatology, their temporal variability trends Bangladesh for period 1979–2014, considering ERA5 (ECMWF Reanalysis 5th Generation) reanalysis as reference dataset. Shannon's Entropy decision‐analysis was employed GCMs' rating based on eight statistical indicators a comprehensive metric final grading GCMs....
Abstract Appraisal of the long‐term precipitation trends and variability is crucial for sustainable water resources management. This research intended to evaluate Bangladesh's monthly, seasonal, annual spatiotemporal rainfall using 40 global climate models two representative concentration pathways (RCPs), RCP4.5 RCP8.5. Statistical downscaling model (SimCLIM) was used ensemble projection in near (2011–2040), middle (2041–2070), far (2071–2100) futures. Modified Mann–Kendall test applied...
The counteraction of exogenous L-proline at different concentrations with salinity (100 mM NaCl sublethal concentration) were observed on germinating rice. Supplemented 30 was shown to be the most effective; higher concentration it reduced seedling growth and K+/Na+ ratio. Thus can alleviate stress in rice seedlings.
Application of multivariate adaptive regression spline ensembles (En-MARS) in a coupled simulation-optimization methodology to derive multiple-objective optimal groundwater extraction strategies for multilayered coastal aquifer system is demonstrated. Two conflicting objectives are solved using controlled elitist multiobjective genetic algorithm. A three-dimensional density-dependent flow and salt-transport numerical simulation model used generate the training patterns resulting saltwater...
Sustainable irrigation method is now essential for adaptation and adoption in the areas where water resources are limited. Therefore, a field experiment was conducted to test performance of alternate wetting drying furrow (AWDFI) on crop growth, yield, use efficiency (WUE), fruit quality profitability analysis tomato. The laid out randomized complete block design with six treatments replicated thrice during dry seasons 2013–2014 2014–2015. Irrigation applied through three ways furrow: AWDFI,...
This study demonstrates the influence of climate change-induced sea level rise on multiobjective saltwater intrusion management strategies in coastal aquifers. Three metamodels were developed from solutions a numerical simulation model coupled flow and salt transport processes aquifer system. Results revealed that proposed are capable predicting density-dependent patterns quite accurately. Based comparison three methods, best metamodel was selected as computationally inexpensive substitute...
Accurate groundwater level (GWL) forecasts are crucial for the efficient utilization, strategic long-term planning, and sustainable management of finite resources. These resources have a substantial impact on decisions related to irrigation crop selection, water supply. This study evaluates data-driven models using different machine learning algorithms forecast GWL fluctuations one, two, three weeks ahead in Bangladesh’s Godagari upazila. To address accuracy limitations inherent individual...
Predicting groundwater levels is critical for ensuring sustainable use of an aquifer’s limited reserves and developing a useful abstraction management strategy. The purpose this study was to assess the predictive accuracy estimation capability various models based on Adaptive Neuro Fuzzy Inference System (ANFIS). These included Differential Evolution-ANFIS (DE-ANFIS), Particle Swarm Optimization-ANFIS (PSO-ANFIS), traditional Hybrid Algorithm tuned ANFIS (HA-ANFIS) one- multi-week forward...
Drought prediction is the most effective way to mitigate drought impacts. The current study examined ability of three renowned machine learning models, namely additive regression (AR), random subspace (RSS), and M5P tree, their hybridized versions (AR-RSS, AR-M5P, RSS-M5P, AR-RSS-M5P) in predicting standardized precipitation evapotranspiration index (SPEI) multiple time scales. SPEIs were calculated using monthly rainfall temperature data over 39 years (1980–2018). best subset model...
Linked simulation-optimisation (S–O) models need to simulate the physical processes either by using a rigorous numerical model, or trained surrogate model approximating processes. A methodology is proposed evolve Pareto optimal management strategies for multi-layered coastal aquifer system and tested Multivariate Adaptive Regression Spline (MARS) linked multi-objective saltwater intrusion model. Performance of developed evaluated an illustrative system. Solution results indicate that MARS...