C.V. Raman Global University | India
Dr. Abhijeet Das has made significant scholarly contributions in the field of water resource management, hydrological modeling, and GIS-based environmental assessment. His research output reflects a robust academic profile with an h-index of 8, demonstrating consistent impact and influence in his domain. He has authored or co-authored over 93 research documents, including peer-reviewed journal papers, international conference proceedings, and collaborative technical reports. His publications collectively have received more than 243 citations, highlighting the recognition and relevance of his work within the scientific community. Through his interdisciplinary research, Dr. Das has advanced the understanding of hydro-environmental challenges, particularly in the Brahmani, Mahanadi, and Baitarani River basins of India, employing modern technologies such as remote sensing, GIS-based multi-criteria decision-making, and artificial intelligence. His collaborative projects with institutions across Iceland, Australia, Lebanon, and the United Kingdom further underscore his international research footprint. The citation strength of his studies on water quality modeling, pollution vulnerability, and spatial hydrological analysis illustrates both academic rigor and practical significance, contributing directly to the United Nations Sustainable Development Goals (SDGs) on clean water and climate resilience
Profile: Scopus | Orcid
Featured Publications
Das, A. (2025). Drinking water resources suitability assessment in Brahmani River, Odisha based on pollution index of surface water utilizing advanced water quality methods. Scientific Reports.
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.
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). 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)