Subhadeep Mandal

About

Subhadeep Mandal is an academic researcher specializing in Water Resources Engineering at the School of Water Resources, Indian Institute of Technology (IIT) Kharagpur (2018–present). He earned his B.E. in Civil Engineering (2015) and M.Tech in Water Resources Engineering (2017) from the Indian Institute of Engineering Science and Technology (IIEST), Shibpur, where his postgraduate research focused on rainfall-runoff modeling using the SCS-CN method and Artificial Neural Networks (ANN). At IIT Kharagpur, his research centers on modeling hydroclimatological fluxes using integrated SWAT and WRF modeling frameworks to assess both short-term weather impacts and long-term hydrologic dynamics. His expertise spans physical hydrologic modeling, atmospheric-hydrologic coupling, machine learning in hydrology, and hydroclimate impact analysis.

Employment

• Indian Institute of Technology Kharagpur Research Scholar

Education

• IIEST Shibpur M.Tech
  2015 - 2017
• IIEST Shibpur BE
  2011 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (3)

• Assessment of Future Hydrological Flow Regime Analysis Under Changing Climate in a Tropical River Basin
  International Journal of Latest Technology in Engineering Management & Applied Science 2026 DOI: 10.51583/ijltemas.2026.150600155
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• Comparative assessment of WRF’s parameterization scheme combinations in assessing land-surface feedback flux and its drivers: a case study of Phailin tropical cyclone
  Theoretical and Applied Climatology 2024 DOI: 10.1007/s00704-024-05032-3
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• Runoff Prediction Using Artificial Neural Network and SCS-CN Method: A Case Study of Mayurakshi River Catchment, India
  Lecture Notes in Civil Engineering 2021 DOI: 10.1007/978-981-15-9805-0_4
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