Dr. Abhijeet Das | Environmental Science | Best Review Paper Award
C.V. Raman Global University (CGU), Odisha | India
Dr. Abhijeet Das is a distinguished Research Consultant in Water Resources and GIS, with nearly a decade of expertise in spatial analysis, hydrological modelling, and environmental assessment. His research has significantly contributed to understanding water vulnerability, hydro-environmental risks, and climate change impacts on river basins across Eastern India, particularly in the Mahanadi, Baitarani, and Brahmani river systems. Through innovative integration of remote sensing, GIS-based decision-making, and statistical modelling, Dr. Das has provided actionable insights for sustainable water resource management and policy development.
Professional Profile
Scopus
Education
Dr. Das’s academic journey reflects his unwavering commitment to combining engineering excellence with geospatial innovation. He earned his B.Tech in Civil Engineering from ABIT College, Cuttack (BPUT, Rourkela), where he developed a foundational understanding of structural and environmental engineering concepts. Pursuing his passion for water sciences, he completed his M.Tech in Water Resource Engineering from the College of Engineering and Technology, Bhubaneswar (BPUT, Rourkela), focusing on hydrological modelling and water quality assessment. Driven by a deep interest in research, he went on to achieve his Ph.D. in Water Resource Engineering from C.V. Raman Global University, Odisha, where his doctoral thesis explored advanced GIS and remote sensing applications for river basin hydrology and pollution analysis. This strong educational foundation has allowed him to blend theoretical principles with real-world applications in the fields of hydrology, environmental sustainability, and climate resilience.
Experience
Dr. Abhijeet Das has nearly a decade of professional experience spanning academic teaching, research, and consultancy in water resources and GIS. He has served as a GIS Analyst Intern at A.B Consultancy, a Teaching Assistant at IGIT, Sarang, and the College of Engineering and Technology, Bhubaneswar, and currently works as a Research Consultant at Madhu Smita Design & Engineers Studio. Over his career, he has led projects on water quality mapping, flood risk analysis, and hydrological modelling, integrating remote sensing, machine learning, and IoT-based systems to deliver impactful solutions for sustainable water management.
Research Interest
Dr. Das’s research interests are rooted in the intersection of hydrology, climate science, and geospatial technology. He is passionate about watershed hydrology, hydrological extremes (droughts and floods), climate change impact assessment, and the Food-Energy-Water (FEW) Nexus. His work extensively employs remote sensing and GIS integrated with machine learning, numerical modelling, and optimization techniques to predict water quality trends, assess pollution sources, and map groundwater potential zones. He is also deeply invested in simulation-optimization modelling, artificial neural networks, fuzzy logic systems, and environmental impact assessments. Beyond academic research, he actively develops predictive GIS models and automated geospatial workflows enhanced with Generative AI (GenAI), aiming to transform water governance by enabling smarter, faster, and more accurate environmental decision-making.
Awards
Over the years, Dr. Das has been honored with Multiple Best Paper Awards and recognitions at prestigious national and international conferences. These accolades celebrate his innovative contributions to water quality assessment, pollution source identification, and GIS-based multi-criteria decision-making approaches. Notable among them are his award-winning studies on the Mahanadi, Baitarani, and Brahmani river basins, which have introduced new methodologies for integrating various water quality indexes, multivariate statistical analyses, and geospatial modelling for safe drinking water supply and sustainable basin management. His research presentations have been recognized for their scientific rigor, practical applicability, and potential to influence policy. Additionally, his work has been acknowledged for advancing methodological frameworks that can be adapted to other river basins facing similar environmental and water resource challenges.
Publications
Title: 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
Journal: Discover Sustainability
Published on: 2025
Citation: 1
Title: Geographical Information System–driven intelligent surface water quality assessment for enhanced drinking and irrigation purposes in Brahmani River, Odisha (India)
Journal: Environmental Monitoring and Assessment
Published on: 2025
Citation: 4
Title: Spatiotemporal evaluation and impact of superficial factors on surface water quality for drinking using innovative techniques in Mahanadi River Basin, Odisha, India
Journal: Journal of Hydrology Regional Studies
Published on: 2025
Title: Harnessing Biotechnology for Sustainable Wastewater Treatment and Circular Economy
Journal: Earth Systems and Environment
Published on: 2025
Citation: 1
Title: Applying the water quality indices, geographical information system, and advanced decision-making techniques to assess the suitability of surface water for drinking purposes in Brahmani River Basin (BRB), Odisha
Journal: Environmental Science and Pollution Research
Published on: 2025
Citation: 5
Conclusion
Dr. Abhijeet Das exemplifies the ideal blend of academic excellence, innovative research, and practical application. His pioneering work in GIS, remote sensing, and water resource management has delivered real-world impact while advancing scientific knowledge. Recognizing him with the Best Review Paper Award would honor not just his scholarly achievements, but also his unwavering dedication to solving pressing environmental challenges for a sustainable future.
