C.V. Raman Global University (CGU), Bhubaneswar, Odisha | India
Dr. Abhijeet Das is a dynamic and highly skilled civil engineering professional specializing in Water Resource Engineering, with extensive expertise in watershed hydrology, hydrological modeling, and advanced engineering design. He has contributed significantly to the development and optimization of water management systems, integrating innovative methodologies with emerging technologies like machine learning, GIS, and remote sensing. With a vision to address global water resource challenges, Dr. Das has been actively engaged in collaborative research and consultancy projects across multiple countries, enhancing water quality assessment, environmental impact studies, and sustainable infrastructure planning.
Professional Profiles
Education
Dr. Das holds a Ph.D. in Water Resource Engineering from C.V. Raman Global University, Bhubaneswar. He completed his M-Tech in Water Resource Engineering from Biju Patnaik University of Technology (BPUT), Rourkela, and a B-Tech in Civil Engineering from the same university. His academic foundation is rooted in rigorous research and practical exposure, enabling him to integrate theoretical knowledge with real-world applications in hydrological systems, climate change impact studies, and sustainable water management.
Experience
Dr. Das possesses over a decade of cumulative professional experience encompassing project consultancy, teaching, research, and industry exposure. He served as a Project Consultant at Madhu Smita Design & Engineers Studio, where he worked on large-scale projects related to water resource planning and GIS-based analysis. His teaching experience spans prestigious institutions such as IGIT Sarang and CET Bhubaneswar, where he mentored students in civil and water resource engineering disciplines. Additionally, he has gained valuable industrial exposure through internships and consultancy projects focusing on flood management, water quality optimization, and environmental sustainability.
Research Interests
His research interests include watershed hydrology, climate change impact assessment, drought and flood analysis, Food-Energy-Water (FEW) Nexus, machine learning applications in water resource engineering, remote sensing and GIS-based modeling, numerical and simulation-optimization modeling, water quality control, environmental impact assessment, and geoinformatics. Dr. Das is passionate about integrating artificial intelligence techniques like artificial neural networks and fuzzy logic to enhance predictive accuracy in water management systems.
Awards and Recognitions
Dr. Das has been honored with multiple Best Paper Awards at reputed national and international conferences. His research on water quality assessment, pollution source investigation, and surface water potential zone characterization has been recognized across forums such as ISDMME, ICSEEGT, RASTEMS, TRACE, and ICET. He has also presented award-winning posters on sustainable water quality demarcation and innovative water management techniques. These accolades reflect his commitment to advancing sustainable water resource engineering through cutting-edge research and practical applications.
Publications
An optimization based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance. (2025). Discover Environment.
Reimagining biofiltration for sustainable industrial wastewater treatment. (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. (2025). Discover Sustainability.
Evaluation and prediction of surface water quality status for drinking purposes using an integrated water quality indices, GIS approaches, and machine learning techniques. (2025). Desalination and Water Treatment.
Bioplastics: a sustainable alternative or a hidden microplastic threat? (2025). Innovative Infrastructure Solutions.
Conclusion
Dr. Abhijeet Das represents a new generation of civil engineering professionals dedicated to sustainable water management and environmental conservation. His career integrates academic excellence, industry-focused research, and impactful contributions to international collaborative projects. With his multidisciplinary expertise, he aims to contribute to the global mission of ensuring water security, optimizing resource utilization, and promoting climate-resilient infrastructure. His work continues to bridge the gap between scientific innovation and real-world challenges, fostering sustainable development across diverse regions.