Abhinanda Roy

About

Passionate about working towards addressing the issues of water resources management through developing hybrid hydrological models. My research interests includes hybrid hydrological modelling, flood forecasting, reservoir operation, uncertainty quantification, and applications of machine learning algorithms for water resources engineering.

Employment

• Florida State University Postdoctoral Fellow
  2025 - Present
• Heriot-Watt University Research Assistant
  2024 - 2024
• Indian Institute of Technology Madras Research Associate
  2018 - 2020

Education

• Indian Institute of Technology Roorkee Ph.D.
  2020 - 2025
• Government Engineering College Thrissur M-Tech
  2013 - 2015
• Mahatma Gandhi University B-Tech
  2008 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (6)

• A novel error correction modelling framework for reducing prediction uncertainty in reservoir levels for operational control
  2025 DOI: 10.5194/egusphere-egu25-639
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• A novel two-stage multi-step dynamic error correction model for improving streamflow forecast accuracy
  2025 DOI: 10.5194/egusphere-egu24-315
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• Quantifying Streamflow Prediction Uncertainty Through Process-Aware Data-Driven Models
  Hydrological Processes 2024 DOI: 10.1002/hyp.15310
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• A Novel Physics‐Aware Machine Learning‐Based Dynamic Error Correction Model for Improving Streamflow Forecast Accuracy
  Abhinanda Roy, K. S. Kasiviswanathan, Sandhya Patidar +3 more
  Water Resources Research 2023 DOI: 10.1029/2022wr033318
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• Exploring the potential of data-driven models for streamflow simulation in Himalayan region
  Modeling and Mitigation Measures for Managing Extreme Hydrometeorological Events Under a Warming Climate 2023 DOI: 10.1016/b978-0-443-18640-0.00010-9
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• A Comparative Study on the Derivation of Unit Hydrograph for Bharathapuzha River Basin
  Procedia Technology 2016 DOI: 10.1016/j.protcy.2016.05.010
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