Tamal Kanti Saha
Jamia Millia Islamia Faculty of Natural Sciences, University of Gour Banga
About
Tamal Kanti Saha, is a dedicated, resourceful, and goal-driven professional researcher with experience in the supervision of research work. Collaborative teamwork with project management skills to keep projects or tasks on time. Ability to motivate co-researcher and maintain good relations. Can work well in a team or individually. Wish to utilize his knowledge, skills & experience in a team or Institute that values creativity, free will, and the betterment of young researchers.
Disciplines: Remote Sensing, Geomorphology, Hydrology
Skills and expertise: Hydrological Modeling, Wetlands, Geographic Information Systems, Groundwater, Landslides, Climate Prediction, Rainfall Simulation, River Ecology, Watershed Modeling, Integrated River Basin Management, Wetland Restoration, Droughts, Machine Learning, Flood Forecasting
Employment
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Jamia Millia Islamia Faculty of Natural Sciences Post-Doctoral Fellow2022 - Present
Education
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University of Gour Banga M.Sc2013 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (18)
- Assessing and Predicting Wetland Water Quality Using Water Quality Index and Ensemble Machine Learning Models: A Case Study of Deepor Beel (Ramsar Site), Assam, India Save
- Flood susceptibility mapping using remote sensing and ensemble machine learning in Upper Jhelum Sub-catchment, India Save
- A systematic review on climate change-induced flood susceptibility, vulnerability and risk: future research perspective Save
- Assessment of flood risk using remote sensing data and machine learning models in Upper Jhelum Sub-catchment, India Save
- Landslide risk using Geospatial techniques and machine learning: Shimla district of Himachal pradesh, India Save
- Assessment of Habitat Suitability and Potential Corridors for Bengal Tiger (Panthera tigris tigris) in Valmiki Tiger Reserve, India, Using MaxEnt Model and Least-Cost Modeling Approach Save
- Vulnerability assessment of forest ecosystem based on exposure, sensitivity and adaptive capacity in the Valmiki Tiger Reserve, India: A geospatial analysis Save
- Trend analysis and forecasting of meteorological variables in the lower Thoubal river watershed, India using non-parametrical approach and machine learning models Save
- Morphometric parameters based prioritization of watersheds for soil erosion risk in Upper Jhelum Sub-catchment, India Save
- Exploring the impact of land use/land cover changes on the dynamics of Deepor wetland (a Ramsar site) in Assam, India using geospatial techniques and machine learning models Save