C.V. Raman Global University | India
Dr. Abhijeet Das is a distinguished researcher in Water Resource Engineering, with expertise spanning watershed hydrology, hydrological modeling, climate change impact assessment, water quality control, machine learning, and geoinformatics. He has authored 89 documents that have collectively garnered 205 citations across 103 documents, reflecting an h-index of 8, underscoring his growing academic influence. With over a decade of combined experience in teaching, consultancy, and research, he has actively contributed to international collaborative projects in Saudi Arabia, Tunisia, South Africa, the UK, USA, Oman, Syria, and Lebanon, focusing on sustainable water management, GIS applications, and machine learning-driven environmental assessments. His prolific research output is complemented by more than 30 patents filed/published in areas such as artificial intelligence, IoT-based water quality systems, waste management, and sustainable environmental technologies. In addition, Dr. Das has published several books covering civil engineering, wastewater management, artificial intelligence in education, research methodology, and cancer biology. His work has been recognized through multiple “Best Paper Awards,” international speaking invitations, and honors such as the “Inspiring Educator Award” and “Research Excellence Award.” Serving as a reviewer for leading international journals, he continues to advance interdisciplinary solutions addressing hydrological extremes, climate resilience, and sustainable resource management.
Profiles : Scopus | Orcid
Featured Publications
Das, A. (2025). 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.
Das, A. (2025). Reimagining biofiltration for sustainable industrial wastewater treatment. [Journal name not specified].
Das, A. (2025). 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.
Das, A. (2025). Evaluation and prediction of surface water quality status for drinking purposes using an integrated water quality indices, GIS approaches, and machine learning techniques. Desalination and Water Treatment.
Das, A. (2025). Bioplastics: A sustainable alternative or a hidden microplastic threat? Innovative Infrastructure Solutions.
Das, A. (2025). Surface water quality assessment for drinking and pollution source characterization: A water quality index, GIS approach, and performance evaluation utilizing machine learning analysis. Desalination and Water Treatment.
Das, A. (2025). Geographical Information System–driven intelligent surface water quality assessment for enhanced drinking and irrigation purposes in Brahmani River, Odisha (India). Environmental Monitoring and Assessment.
Das, A. (2025). Spatiotemporal evaluation and impact of superficial factors on surface water quality for drinking using innovative techniques in Mahanadi River Basin, Odisha, India. Journal of Hydrology Regional Studies.