C.V. Raman Global University (CGU), Bhubaneswar, Odisha | India
Dr. Abhijeet Das is a dedicated researcher and professional in the field of civil engineering with specialization in water resources engineering. He has gained extensive expertise in watershed hydrology, water quality management, and hydrological modeling through research, teaching, consultancy, and collaborative international projects. His work integrates advanced engineering techniques with geoinformatics, machine learning, and simulation-optimization modeling for sustainable resource management. With multiple patents, international collaborations, and numerous best paper awards, he has established himself as a promising contributor to innovative solutions in water resource engineering, climate change impact studies, and sustainable development practices.
Professional Profiles
Scopus | Orcid
Education
Dr. Abhijeet Das pursued his academic journey with a strong foundation in civil engineering and advanced specialization in water resources engineering. He earned his doctoral degree in water resource engineering from C.V. Raman Global University, Bhubaneswar. Before that, he completed his master’s degree in water resource engineering from Biju Patnaik University of Technology, Rourkela, after attaining a bachelor’s degree in civil engineering from the same university. His academic path was complemented by schooling at reputed institutions, where he developed a keen interest in engineering sciences. This strong educational background laid the groundwork for his research on hydrology, geoinformatics, and sustainable water management.
Professional Experience
Dr. Abhijeet Das has a decade of professional experience spanning teaching, consultancy, and research. He served as a faculty member at leading engineering institutions, guiding students and contributing to academic growth. His consultancy work involved projects with design and engineering firms, focusing on water resource planning and GIS-based solutions. He has also worked internationally as a project assistant, GIS consultant, and researcher in collaborative projects with institutions across Tunisia, the USA, Oman, the UK, South Africa, Syria, and Lebanon. His professional journey reflects a balance of academic leadership, technical expertise, and practical application in civil and environmental engineering.
Awards and Recognition
Dr. Abhijeet Das has received several prestigious awards for his contributions to civil and water resource engineering. His research papers have consistently been recognized with best paper awards at international and national conferences across diverse engineering and sustainability themes. These accolades highlight his innovative approaches in surface water quality assessment, hydrological modeling, geospatial applications, and decision-making techniques for water management. He has also been honored for poster presentations at academic seminars, reflecting his ability to present complex research in impactful ways. His recognition underscores his growing influence as a researcher committed to advancing sustainable engineering solutions.
Research Skills
Dr. Abhijeet Das possesses extensive research skills that bridge engineering principles with modern computational and geospatial techniques. His expertise includes watershed hydrology, hydrological modeling, and the application of machine learning for environmental studies. He is proficient in using remote sensing and GIS for water quality assessment, numerical modeling, and simulation-optimization approaches. His work also extends to climate change impact assessment, water quality control, environmental impact studies, and application of artificial neural networks and fuzzy logic in water resource management. These skills enable him to develop innovative, data-driven solutions to global challenges in water sustainability and resource management.
Notable Publications
An optimization based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance
Author: Dr. Abhijeet Das
Journal: Discover Environment
Year: 2025
Reimagining biofiltration for sustainable industrial wastewater treatment
Author: Dr. Abhijeet Das
Journal: [Not specified]
Year: 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
Author: Dr. Abhijeet Das
Journal: Discover Sustainability
Year: 2025
Conclusion
Dr. Abhijeet Das’s academic achievements, professional experiences, and research expertise collectively position him as a dedicated contributor to civil and water resource engineering. Through his collaborative projects, patents, and scholarly publications, he has demonstrated a commitment to addressing critical issues such as water quality, sustainability, and climate change impacts. His career reflects a blend of academic excellence, technical innovation, and global engagement. With a strong foundation in civil engineering and an expansive vision for sustainable water resource management, he continues to contribute meaningfully to the field and inspire future researchers and engineers.