Dr. Abhijeet Das | Environmental Toxicology | Global Impact in Research
Dr. Abhijeet Das is a civil and water resource engineer with a Ph.D. in Water Resource Engineering. Currently engaged in teaching, research, and consulting, he specializes in hydrological modeling, water quality assessment, and GIS applications. With numerous publications, awards, and invited talks worldwide, he is recognized as an emerging leader in integrating machine learning and geoinformatics into sustainable water management.
Dr. Abhijeet Das holds a strong academic foundation in civil and water resource engineering. He completed his Ph.D. in Water Resource Engineering from C.V. Raman Global University, Bhubaneswar, where he excelled in advanced hydrological studies and modeling approaches. He also pursued his M.Tech. in Water Resource Engineering and a B.Tech. in Civil Engineering from Biju Patnaik University of Technology, Rourkela, gaining expertise in hydrology, geoinformatics, and engineering design. His early academic journey was rooted in strong performance during his schooling in Cuttack, which paved the way for a career in applied research and engineering.
Experience
Dr. Das brings a diverse blend of teaching, consulting, and project experience in civil and water resource engineering. He has served as a faculty member in reputed engineering institutes, imparting knowledge and mentoring young engineers in water resources, GIS, and civil engineering practices. He later transitioned into consultancy, where he worked with engineering design studios, delivering technical expertise in hydrology, optimization, and GIS-based water quality assessment. He also gained valuable early experience through internships in consultancy firms, which helped him develop industry-oriented skills. His project consultancy and technical assistance roles have extended across India and multiple international collaborations, strengthening his practical and global exposure.
Awards and Recognition
Dr. Das has been widely recognized for his research contributions in water resources and civil engineering. He has received prestigious honors such as Best Researcher Award, Young Researcher Award, and multiple awards for best paper and project presentations at national and international platforms. He has been invited as a keynote and distinguished speaker at global conferences in Europe, Asia, and Africa, reflecting his growing recognition as a thought leader. His awards also include acknowledgments for integrating machine learning, GIS, and optimization techniques in water quality and hydrology studies.
Skills and Expertise
Dr. Das has developed advanced skills in hydrological modeling, watershed hydrology, climate change impact assessment, and optimization techniques. His expertise extends to the use of machine learning, artificial intelligence, and fuzzy logic in water resource engineering. He is proficient in remote sensing and GIS applications, geoinformatics, and numerical simulation, which he applies in flood prediction, drought analysis, and water quality monitoring. He also brings experience in multi-criteria decision-making, environmental impact assessment, and water quality control, making him a highly versatile researcher and consultant.
Research Focus
Dr. Das’s research is centered on water resources management and hydrological extremes such as floods and droughts. He is deeply engaged in climate change impact assessments, exploring how hydrological systems respond to environmental shifts. His work integrates advanced computational approaches, including machine learning and neural networks, to develop models for water quality, surface water potential zones, and sustainable water management. His research interests also span across the food-energy-water nexus, optimization of hydrological systems, and geospatial applications in environmental sustainability. Through collaborative projects across different countries, he contributes to global solutions in water security and sustainable resource management
Research Projects
Dr. Abhijeet Das has led and contributed to diverse projects in water resource engineering and environmental sustainability. His work includes hydrological modeling for flood and drought assessment, GIS-based mapping of water potential zones, and water quality monitoring through advanced geoinformatics tools. He has applied machine learning and optimization methods to predict hydrological extremes and improve water management strategies. Internationally, he has collaborated on projects addressing the food-energy-water nexus and climate change impacts, further extending the global relevance of his research.
Publications
Futuristic Trends in Construction Materials & Civil Engineering Volume 3
Authors: Abhijeet Das (Editor)
Journal/Publisher: Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd
Applications of Artificial Intelligence Using Chat GPT in Education
Authors: Abhijeet Das (Co-editor)
Journal/Publisher: Red Shine Publications
A Text Book of Cancer Biology
Authors: Gunawan Widjaja, Abhijeet Das
Journal/Publisher: Raja Rammohun Roy National Agency, Dept. of Higher Education, Govt. of India
Research Methodology
Authors: Chandram Karri, H. Venkatesan, Keerthi Shetty, Abhijeet Das
Journal/Publisher: Raja Rammohun Roy National Agency, Dept. of Higher Education, Govt. of India
Waste Water Management
Authors: R. Sivakumar, V. Vidyapriya, A. Senthil Kumar, Abhijeet Das
Journal/Publisher: Raja Rammohun Roy National Agency, Dept. of Higher Education, Govt. of India
Conclusion
Dr. Das’s research exemplifies the integration of engineering expertise with innovative computational methods to address pressing water resource challenges. His contributions to hydrological prediction, climate impact studies, and sustainable resource planning highlight his academic excellence and global vision. With a strong record of publications, awards, and collaborations, he stands out as a researcher whose work bridges scientific advancement and practical solutions for society.