Dr. Abhijeet Das is a dedicated academic and researcher in the field of water resources engineering. His expertise lies in watershed hydrology, hydrological modeling, and environmental impact assessment, with a strong focus on sustainable water management. He has contributed to both teaching and consultancy, applying modern techniques such as machine learning, simulation-optimization, and geoinformatics to solve critical water-related challenges. With professional exposure in consultancy firms, academic institutions, and industry training, Dr. Das has developed a multidisciplinary outlook. His commitment to advancing knowledge and creating practical solutions has made him a promising contributor to water resources and environmental engineering.
C.V. Raman Global University (CGU) | India
Author Profile
Scopus
Educational Qualification
Dr. Abhijeet Das holds a Ph.D. in Water Resource Engineering from C.V. Raman Global University (CGU), Bhubaneswar. He pursued his M-Tech in Water Resource Engineering from Biju Patnaik University of Technology (BPUT), Rourkela – CET Bhubaneswar, and completed his B-Tech in Civil Engineering from BPUT – ABIT, Cuttack. Earlier, he studied Intermediate/+2 at Stewart Science College, Cuttack and Matriculation/10th at S.C.B. Medical Public School, Cuttack (ICSE), maintaining an excellent academic record throughout his journey.
Research Interests
Dr. Das’s research spans Watershed Hydrology and Water Resources Engineering, with a strong focus on Hydrological Modeling and Hydrologic Extremes such as droughts and floods. He is actively engaged in Climate Change Impact Assessment and the Food-Energy-Water (FEW) Nexus. His expertise includes Machine Learning, Remote Sensing and GIS, and Geoinformatics, along with advanced approaches in Numerical Modeling, Optimization Techniques, and Simulation-Optimization Modeling. He also applies Artificial Neural Networks and Fuzzy Logic in solving water-related challenges, with emphasis on Water Quality Control and Environmental Impact Assessment.
Professional Experience
Dr. Das has extensive professional experience across consultancy, teaching, and industry practice. He worked as a Project Consultant at Madhu Smita Design & Engineers Studio, Bhubaneswar, with a posting in Kolkata, West Bengal, delivering innovative solutions in water resources engineering. His teaching career includes academic roles at IGIT Sarang, Dhenkanal and CET, Bhubaneswar, where he guided students in civil and water resource disciplines. He also gained valuable industry training at A.B. Consultancy Private Ltd., Bhubaneswar, strengthening his practical expertise in engineering consultancy and project execution.
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
Journal: Discover Environment
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
Journal: Discover Sustainability
Year: 2025
Evaluation and prediction of surface water quality status for drinking purposes using an integrated water quality indices, GIS approaches, and machine learning techniques
Journal: Desalination and Water Treatment
Year: 2025
Bioplastics: a sustainable alternative or a hidden microplastic threat?
Journal: Innovative Infrastructure Solutions
Year: 2025
Surface water quality assessment for drinking and pollution source characterization: A water quality index, GIS approach, and performance evaluation utilizing machine learning analysis
Journal: Desalination and Water Treatment
Year: 2025
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
Year: 2025
Conclusion
Dr. Abhijeet Das stands out as a promising professional and researcher in the field of water resources engineering. With a strong academic foundation, diverse professional experiences, and advanced research expertise, he has developed the ability to combine theory and practice for innovative problem-solving. His focus on hydrology, climate change impacts, and water quality management reflects his commitment to addressing critical challenges of sustainable water governance. By integrating advanced computational methods with engineering practice, he contributes to both academic knowledge and societal needs. Dr. Das continues to advance his career with dedication toward impactful and sustainable solutions.