Rajib Maity
Papers
1
Total Citations
28
H-Index
1
About
Rajib Maity is a leading researcher at the intersection of artificial intelligence, hydrology, and sustainable water resource management. His work focuses on developing innovative computational models to address critical challenges in agricultural water sustainability, particularly under the pressures of climate variability. Maity’s most-cited paper, "Demystifying artificial intelligence amidst sustainable agricultural water management" (2022), has garnered 28 citations, reflecting its timely impact in bridging AI techniques with practical water management solutions. His broader contributions include advancing machine learning and deep learning frameworks for hydrological forecasting, drought prediction, and reservoir operation optimization, often integrating remote sensing data to enhance model accuracy. Maity’s research is notable for its applied focus, directly aiding policymakers and farmers in regions facing water scarcity. He has also contributed to understanding the complex dynamics of monsoon rainfall and streamflow, with his work widely cited in hydrology and environmental engineering journals. Through his interdisciplinary approach, Maity continues to shape how AI can be harnessed for resilient and efficient water systems, making him a key voice in sustainable resource management.
Research Focus
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Top Papers
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