CC
Chandranath Chatterjee
Indian Institute of Technology Kharagpur, National Institute of Hydrology, Orissa University of Agriculture and Technology, BJB Autonomous College
0000-0002-6201-1667
About
My Research Interests:
1. Flood inundation modeling, hazard and risk analysis
2. Flood forecasting using machine learning tools
3. Impact of climate change on flood risk
4. Design flood estimation using deterministic and probabilistic approaches
5. Geo-informatics for hydrological/hydraulic modeling
6. Application of Unmanned Aerial Vehicle (UAV) for crop condition monitoring
Employment
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Indian Institute of Technology Kharagpur Professor2014 - Present
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Indian Institute of Technology Kharagpur Associate Professor2010 - 2014
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Indian Institute of Technology Kharagpur Assistant Professor2004 - 2010
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National Institute of Hydrology Scientist 'C'2000 - 2004
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National Institute of Hydrology Scientist 'B'1997 - 2000
Education
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Indian Institute of Technology Kharagpur PhD (Water Management)1994 - 1999
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Indian Institute of Technology Kharagpur M Tech (Soil and Water Conservation Engineering)1992 - 1994
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Orissa University of Agriculture and Technology B Tech1988 - 1992
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BJB Autonomous College HSC1986 - 1988
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D M School AISSE1976 - 1986
Projects & Funding
Projects & funding information is unavailable.
Publications (81)
- Growing Pluvial Flood Hazard and Exposure From Heatwave‐Preconditioned Rainfall Extremes in Chennai Metropolitan Area, India Save
- A Modelling Framework to Assess and Manage the Impacts of Deltaic Flooding on Agriculture in a Changing Climate Save
- Assessment of Damage Due to Grain Discoloration Disease in Paddy Crop Using High-Resolution UAV Imagery Save
- Time-Varying Evaluation of Compound Drought and Hot Extremes in Machine Learning–Predicted Ensemble CMIP5 Future Climate: A Multivariate Multi-Index Approach Save
- Estimation of aboveground biomass from spectral and textural characteristics of paddy crop using UAV-multispectral images and machine learning techniques Save
- Crop Yield Prediction Using Multimodal Meta-Transformer and Temporal Graph Neural Networks Save
- Addressing effective real-time forecasting inflows to dams through predictive uncertainty estimate Save
- Damage Assessment Due to Wheat Lodging Using UAV-Based Multispectral and Thermal Imageries Save
- Data-Centric Client Selection for Federated Learning Over Distributed Edge Networks Save
- Channel-State Information-Driven Data Rate Optimization for Multi-UAV IoT Networks Save