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Research Consultant | C.V. Raman Global University | India
Dr. Abhijeet Das is a distinguished researcher and consultant specializing in Water Resource Engineering and Geographical Information Systems (GIS), with over a decade of experience in hydrological modeling, spatial data analysis, and environmental sustainability. His expertise spans watershed hydrology, water quality assessment, climate change impact modeling, and the integration of machine learning and artificial intelligence into hydrological forecasting. Dr. Das has contributed to numerous international research collaborations, including projects at the University of the West of Scotland, Texas Christian University (USA), University of Iceland, Queensland University of Technology (Australia), and University of Johannesburg (South Africa), focusing on surface water quality modeling, hydro-chemical assessment, and GIS-based decision support for sustainable resource management. He has an impressive record of innovation with over thirty patents related to environmental monitoring, smart water systems, and IoT-based pollution control devices. His academic contributions are reflected in numerous peer-reviewed publications, technical reports, and conference papers, many of which have received best paper awards at international venues such as NIT Rourkela, BITS Pilani, and Amity University. Dr. Das’s work has had significant societal impact, advancing the precision of water quality monitoring, promoting data-driven decision-making in water governance, and contributing to the achievement of United Nations Sustainable Development Goals (particularly SDG 6—Clean Water and Sanitation, and SDG 13—Climate Action). His research on GIS-integrated multi-criteria decision-making models and AI-driven predictive systems for water quality forecasting demonstrates a forward-looking approach to addressing global water security and climate resilience challenges. Through his interdisciplinary collaborations, technical innovation, and commitment to environmental sustainability, Dr. Das continues to play a pivotal role in shaping the future of water resource management and applied geoinformatics research globally.
Publications:
Drinking water resources suitability assessment in Brahmani River, Odisha, based on pollution index of surface water utilizing advanced water quality methods. Scientific Reports. (Cited by: 0)
An optimization-based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance. Discover Environment.
(Cited by: 2)
A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in Mahanadi River Basin, Odisha, India. Discover Sustainability.
(Cited by: 3)
Surface water quality evaluation impacting drinking water sources and sanitation using water quality index, multivariate techniques, and interpretable machine learning models in Mahanadi River, Odisha (India).
(Cited by: 0)
Water quality assessment and geospatial techniques for the delineation of surface water potential zones: A data-driven approach using machine learning models. Desalination and Water Treatment.
(Cited by: 0)
Reimagining biofiltration for sustainable industrial wastewater treatment.
(Cited by: 2)