About Me

Hailing from a small village in Silchar, Assam, my journey into the world of hydrology is driven by a deep-seated curiosity about our planet's most vital resource: water. As a PhD Scholar at the Indian Institute of Technology, Mandi, I specialize in cutting-edge AI-Hydrology, leveraging artificial intelligence and machine learning to decipher the complex signatures of climate change.

My research focuses on developing robust deep learning models to better predict extreme hydrological events and safeguard our future. I am passionate about collaborating on innovative research that bridges the gap between advanced data science and pressing environmental challenges.

Research Focus

  • AI-Driven Hydrological Modeling
  • Climate Change Impact Assessment
  • Extreme Event Prediction
  • Deep Learning Applications in Environmental Science

Research Competencies

Programming
Python R MATLAB TensorFlow PyTorch
AI & ML
Deep Learning LSTM CNN Random Forest Time Series
Hydrology
SWAT GR4J HEC-HMS Rainfall-Runoff Climate Impact
Geospatial
ArcGIS QGIS Google Earth Engine Remote Sensing Spatial Analysis

Professional Experience

2024 - Present

PhD Research Scholar

Indian Institute of Technology Mandi

Research Focus: AI-Driven Hydrological Modeling

Current
May 2022 - December 2022

Junior Research Fellow

National Institute of Hydrology, CIHRC Bhopal

Research Focus: Hydrological Forecasting & Extreme Event Analysis

Academic Journey

2023 - Present

PhD in Hydrology

Indian Institute of Technology, Mandi

Research Focus: AI-Driven Hydrological Modeling

Current
2020 - 2022

Master of Technology

Maulana Azad National Institute of Technology (MANIT), Bhopal

Specialization: Water Resource Engineering

CGPA: 8.9/10
2016 - 2020

Bachelor of Technology

Maulana Abul Kalam Azad University of Technology, Kolkata

Major: Civil Engineering

First Class with Distinction

Publications

Journal Articles

Journal Article 2025

From Gauged to Ungauged: Large-Scale Deep Learning Rainfall-Runoff Modelling for Reliable Streamflow Estimation in India's Diverse Basins

Barbhuiya, S., & Gupta, V.

Authorea. doi:10.22541/au.173801002.25089607/v2

Views: 156 Downloads: 23
Journal Article 2024

Performance evaluation of ML techniques in hydrologic studies: Comparing streamflow simulated by SWAT, GR4J, and state-of-the-art ML-based models

Barbhuiya, S., Manekar, A., & Ramadas, M.

Journal of Earth System Science, 133 (136) doi:10.1007/s12040-024-02340-0

Citations: 3 Views: 234
Journal Article 2023

Assessment of streamflow in the ungauged basin by using physical similarity approach

Barbhuiya, S., Raghuvanshi, A.S., & Tiwari, H.L.

Arabian Journal of Geosciences, 16 (672) doi:10.1007/s12517-023-11786-3

Citations: 5 Views: 189

Book Chapters

Book Chapter 2025

Assessing the Impacts of Climate Change on Hydroclimatic Regimes in Beas River Basin

Barbhuiya, S., Sharma, S., Pathania, A., & Gupta, V.

In: Nanda, A., Gupta, P.K., Gupta, V., Jha, P.K., Dubey, S.K. (eds) Navigating the Nexus. Water Science and Technology Library, vol 102. Springer, Cham. doi:10.1007/978-3-031-76532-2_14

Book Chapter 2023

Performance Evaluation of Lumped Conceptual Rainfall-Runoff Genie Rural (GR) Hydrological Models for Streamflow Simulation

Raghuvanshi, A.S., Barbhuiya, S.A., & Tiwari, H.L.

In: Timbadiya, P.V., Patel, P.L., Singh, V.P., Sharma, P.J. (eds) Hydrology and Hydrologic Modelling. HYDRO 2021. Lecture Notes in Civil Engineering, vol 312. Springer, Singapore. doi:10.1007/978-981-19-9147-9_22

Book Chapter 2023

Nonstationary Flood Frequency Analysis: Review of Methods and Models

Barbhuiya, S., Ramadas, M., & Biswal, S.S.

In: River, Sediment and Hydrological Extremes: Causes, Impacts, and Management, Disaster Resilience and Green Growth. Springer, Singapore. doi:10.1007/978-981-99-4811-6_15

Conference Papers

Conference Paper 2025

Comparative Analysis of Satellite and Gauge-Based Precipitation Data for Landslide Risk Assessment in Himalayas

Sharma, S., Barbhuiya, S., Gupta, V., & Das, S.

EGU General Assembly 2025, Vienna, Austria. doi:10.5194/egusphere-egu25-19794

EGU 2025
Conference Paper 2024

Analysing precipitation extremes in South Asia Using Expert Team on Climate Change Detection and Indices (ETCCDI) Indices

Barbhuiya, S., Bilal, S.B., Pathania, A., & Gupta, V.

AGU Fall Meeting Abstracts (Vol. 2024, pp. H05-06)

AGU 2024
Conference Paper 2024

Will Mamba Rise or Fall? A Real-World Test of Its Rainfall-Runoff Modelling in Indian Basins

Barbhuiya, S., & Gupta, V.

AGU Fall Meeting Abstracts (Vol. 2024, pp. H02-28)

AGU 2024
Conference Paper 2023

Trend Analysis and Forecasting of Streamflow using RF and LSTM Models

Barbhuiya, S., Ramadas, M., Jena, S., & Biswal, S.

EGU General Assembly 2023 doi:10.5194/egusphere-egu23-10952

EGU 2023

Get in Touch

Contact Information

Location Mandi, Himachal Pradesh, India

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