Dr. SANDEEP SAMANTARAY

About

Dr. Sandeep Samantaray received B.Tech in civil engineering from Biju Patnaik University of Technology, Odisha, in 2013, M.Tech in water resources engineering from Veer Surendra Sai University of Technology, Odisha, in 2016, and Ph.D. degree from the Department of Civil Engineering at the National Institute of Technology, Silchar, Assam, India. He works as an Assistant Professor in the Department of Civil Engineering at the National Institute of Technology Srinagar, Jammu and Kashmir, India. His research interests focus on watershed management, hydrological forecasting, hydrologic modeling, and developing sustainable means of managing the environment. He has published 45 international journals and 24 nos book chapters and attended around 65 international conferences (SCOPUS Indexing). He also published 2nos Indian patents and 7nos of South African Patents. He also authored two books published in Taylor & Francis, UK, and one book in Scrivener, Wiley. He is serving as an Editorial Board member of Discover Geoscience, Springer; Discover Civil Engineering, Springer; Discover Atmosphere, Springer; PLOS ONE; Frontiers of Environmental Science journals.

Employment

• National Institute of Technology Srinagar Assistant Professor
  2022 - Present
• Odisha University of Technology and Research Assistant Professor (On contract)
  2021 - 2022
• College of Engineering and Technology Assistant Professor (Contract.)
  2017 - 2017
• Veer Surendra Sai University of Technology Assistant Professor (Contract.)
  2016 - 2016

Education

• National Institute Of Technology Silchar Ph.D Scholar
  2017 - 2021
• Veer Surendra Sai University of Technology M.Tech
  2014 - 2016
• Biju Patnaik University of Technology B.Tech
  2009 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (161)

• Improving groundwater level prediction based on optimized deep learning model with Coati algorithm
  Environmental Modelling & Software 2026 DOI: 10.1016/j.envsoft.2026.107071
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• Flood Susceptibility Assessment in the Jhelum Basin Using Machine Learning and GIS Techniques
  Natural Hazards Review 2026 DOI: 10.1061/NHREFO.NHENG-2672
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• Erratum: “Assessing morphology of Jhelum River and prediction of centerline shifting using autoregressive integrated moving average model” [Phys. Fluids 37, 075141 (2025)]
  Physics of Fluids 2026 DOI: 10.1063/5.0341129
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• Improving Long-term Drought Forecasting with a novel Hybrid Deep Learning model based on Standardized Groundwater Level Index
  2026 DOI: 10.5194/egusphere-egu26-22079
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• A comparative study of developed rainfall intensity-duration-frequency curves for Ganjam District, Odisha, India
  PHYSICS AND CHEMISTRY OF THE EARTH 2026 DOI: 10.1016/J.PCE.2026.104284
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• Advances in AA6082-T6 aluminium alloy: processing, property evolution, corrosion behaviour, and surface engineering - a review
  EMERGENT MATERIALS 2026 DOI: 10.1007/S42247-026-01398-4
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• Application of Hybrid Machine Learning for Groundwater Level Prediction: A Comprehensive Review
  ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING 2026 DOI: 10.1007/S11831-025-10447-W
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• Hybrid Support Vector Machine Model with Harris Hawks Optimization is a Successive Tool for Flood Prediction: A Case Study
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-981-96-5126-9_1
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• Hybrid a Symmetric Huber Loss Function-Based ELM Approach for Average Temperature Prediction: A Case Study on Kokernag, Jhelum River Basin, India
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-981-95-2872-1_44
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• Optimized Humidity Prediction: A Random Forest and Aquila Optimizer Approach
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-3-032-06253-6_4
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