Dr. Abhijeet Das | Civil Infrastructure | Water Treatment Award

Dr. Abhijeet Das | Civil Infrastructure | Water Treatment Award

Dr. Abhijeet Das | C.V. Raman Global University | India

Dr. Abhijeet Das is a distinguished researcher in water resources and Geographic Information Systems (GIS), recognized for his extensive contributions to spatial analysis, hydrological modeling, and environmental assessment. His research emphasizes evaluating water vulnerability, hydro-environmental risks, and watershed dynamics through the integration of remote sensing data, GIS-based multi-criteria analysis, and climate impact modeling. With 94 documents, 265 citations from 139 sources, and an h-index of 9 in Scopus, his scholarly work demonstrates significant impact in the fields of hydrology, geospatial science, and environmental sustainability. Dr. Das’s professional expertise spans remote sensing for water quality monitoring, GIS-based Water Quality Index mapping, and advanced hydrological simulations using tools such as SWAT, HEC-HMS, and MIKE SHE. His technical proficiency includes ArcGIS, QGIS, Python, MATLAB, and Google Earth Engine, complemented by applications of IoT-based sensor systems for real-time water quality assessment. As a peer reviewer with 62 reviews for 25 publications and grants recorded in ORCID, he plays an active role in maintaining research quality within the scientific community. Dr. Das’s work continues to advance sustainable water resource management, climate resilience, and data-driven environmental decision-making across regional and interdisciplinary contexts.

Profiles: Scopus | Orcid

Featured Publications

Das, A. (2025). Drinking water resources suitability assessment in Brahmani River, Odisha based on pollution index of surface water utilizing advanced water quality methods. Scientific Reports.

Das, A. (2025). An optimization-based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance. Discover Environment, 2 citations.

Das, A. (2025). Reimagining biofiltration for sustainable industrial wastewater treatment. Review Article, 2 citations.

Das, A. (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. Discover Sustainability, 3 citations.

Das, A. (2025). Surface water quality evaluation impacting drinking water sources and sanitation using water quality index, multivariate techniques, and interpretable machine learning models in Mahanadi River, Odisha (India). Review Article.

Das, A. (2025). Water quality assessment and geospatial techniques for the delineation of surface water potential zones: A data-driven approach using machine learning models. Desalination and Water Treatment.

Prof. Dr. Qinghe Shi | Structural Engineering | Best Researcher Award

Prof. Dr. Qinghe Shi | Structural Engineering | Best Researcher Award

Prof. Dr. Qinghe Shi | Jiangsu University of Technology | China

Dr. Shi Qinghe is a Lecturer and Master’s Supervisor at the School of Materials Engineering, Jiangsu University of Technology. He earned his Ph.D. in Engineering from the School of Aeronautic Science and Engineering, Beihang University. His research focuses on structural health monitoring, damage identification, load identification, and optimization design of composite structures. Dr. Shi has led and participated in numerous research projects funded by national and provincial foundations, as well as industry collaborations. With extensive publications in high-impact journals, he has contributed significantly to advancements in composite structure analysis and monitoring technologies, fostering innovation in materials engineering and structural safety.

Professional Profile

Scopus

Education and Experience

Dr. Shi Qinghe obtained his Ph.D. in Engineering from Beihang University’s School of Aeronautic Science and Engineering, where he specialized in advanced structural analysis and engineering applications. Following his graduation, he joined Jiangsu University of Technology as a Lecturer in the School of Materials Engineering. Since then, he has been engaged in teaching, research, and supervision of master’s students. His academic journey reflects a deep commitment to materials science, particularly in areas that combine theoretical modeling with real-world engineering challenges. Over the years, he has also established strong collaborations with industry, enabling the translation of research findings into practical solutions.

Summary Suitability

Dr. Shi Qinghe is an outstanding candidate for the Best Researcher Award, recognized for his groundbreaking contributions in structural health monitoring, damage identification, load identification, and optimization design of composite structures. As a Lecturer and Master’s Supervisor at Jiangsu University of Technology, he has led numerous high-impact research projects funded by national and provincial foundations, as well as industry collaborations. His expertise spans theoretical modeling, computational methods, and practical engineering applications, ensuring his work directly benefits aerospace, transportation, and civil engineering sectors.

Professional Development 

Throughout his career, Dr. Shi Qinghe has demonstrated continuous professional growth through active engagement in high-level research projects and academic contributions. As a principal investigator, he has managed multiple projects funded by national foundations and industry partners, enhancing his expertise in structural health monitoring and composite material optimization. He has built a strong publication record in leading international journals, reflecting his commitment to scholarly excellence. His mentorship of graduate students fosters a collaborative and innovative research environment. Dr. Shi also actively participates in provincial and national research networks, enabling cross-disciplinary advancements and reinforcing his role as a thought leader in engineering research.

Research Focus 

Dr. Shi Qinghe’s research is centered on structural health monitoring, damage identification, load identification, and optimization design for composite structures. His work emphasizes the development of advanced computational methods and probabilistic models to address uncertainties in engineering applications. By integrating theoretical mechanics, applied mathematics, and material science, he aims to create accurate and efficient techniques for evaluating and improving the performance of complex structural systems. His studies contribute to ensuring structural safety, reducing maintenance costs, and extending service life in aerospace, transportation, and civil engineering fields. Through innovative methodologies, his research bridges the gap between fundamental theory and engineering practice.

Awards and Honors

Dr. Shi Qinghe has been recognized as a Jiangsu Youth Science and Technology Talent, reflecting his significant contributions to engineering research and innovation. He has also been selected for the Zhongwu Youth Innovation Talent Program, which acknowledges promising researchers with strong potential for leadership in scientific development. These honors highlight his dedication to advancing materials engineering and structural health monitoring. His achievements demonstrate not only academic excellence but also the ability to integrate research with industrial applications, driving forward technological solutions that address practical challenges in the field.

Publication Top Details

Title: Novel study on strain modes-based interval damage identification methodology utilizing orthogonal polynomials and collocation theories
Year: 2025
Citation: 3

Title: Assessment of tensile behaviour and damage evolution of open and filled hole FMLs based on AE monitoring and numerical prediction
Year: 2025
Citation: 5

Title: Investigation on damage behaviors of carbon fiber-reinforced nylon 6 thermoplastic composite laminates using acoustic emission and digital image correlation techniques
Year: 2025
Citation: 2

Conclusion

Dr. Shi Qinghe’s exceptional research output, innovative methodologies, and ability to integrate academic excellence with practical engineering solutions make him highly deserving of the Best Researcher Award. His contributions have strengthened the field of composite structure analysis and monitoring, delivering tools and techniques that improve safety, durability, and performance in critical engineering applications. With a proven record of impactful publications, funded projects, and talent cultivation, Dr. Shi embodies the qualities of a world-class researcher committed to advancing science and engineering.