Armando Duarte | Environmental Data Analysis | Best Researcher Award

Prof Dr. Armando Duarte | Environmental Data Analysis | Best Researcher Award

University of Aveiro | Portugal

Author Profile

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Early Academic Pursuits ๐ŸŽ“

Prof. Dr. Armando Duarte began his academic journey with a focus on both Public Health Engineering and Chemistry. He was awarded a Ph.D. in Public Health Engineering at the University of Newcastle-upon-Tyne in 1981. Later, he pursued an Aggregation in Chemistry at the University of Aveiro in 1989, demonstrating his dedication to deepening his expertise across diverse scientific fields. His early studies laid a strong foundation for a highly successful academic career.

Professional Endeavors ๐ŸŒ

With over 35 years of internationally recognized experience, Prof. Duarte has made significant strides in Analytical Chemistry, Qualimetrics, and Analytical Quality Assurance. His work has largely focused on generating experimental data that supports crucial decisions concerning food safety, environmental protection, health, and sustainable development. His contributions span several sectors, and he has collaborated with professionals across various industries, always pushing the boundaries of scientific inquiry.

Contributions and Research Focus Onย  Environmental Data Analysis ๐Ÿ”ฌ

Prof. Duarteโ€™s research is especially notable for its focus on understanding the distribution, availability, and fate of chemical compounds in various environmental compartments. His work in the characterization of natural organic matter and its interaction with environmental contaminants has been groundbreaking. By examining how these compounds behave in ecosystems, his research has informed policies and practices aimed at better environmental management and public health safety.

Impact and Influence ๐ŸŒŸ

Prof. Duarteโ€™s influence extends far beyond his own research. With over 580 peer-reviewed publications, including 10 books and 30 book chapters, he has shaped the global scientific landscape. His work has earned him recognition in the Highly Cited Researchers index from 2021 to 2023, cementing his place among the top 1% of scientists worldwide based on citation counts. His h-index has reached impressive figuresโ€”ranging from 80 on SCOPUS to 95 on Google Scholar, reflecting the broad impact his research has had on his field.

Academic Cites ๐Ÿ“š

Prof. Duarte has garnered significant academic recognition, as evidenced by his citation counts. His work is frequently cited by researchers across the world, a testament to the quality and relevance of his contributions. As of March 2024, his total citations range from 27,644 on SCOPUS to 38,882 on Google Scholar, solidifying his standing as a leading figure in environmental sciences and analytical chemistry.

Technical Skills ๐Ÿงช

Prof. Duarte possesses extensive technical expertise in Analytical Chemistry, Qualimetrics, and Environmental Chemistry. His proficiency in experimental design and data interpretation has been central to his ability to carry out meaningful research that informs public health and environmental policies. His technical acumen has enabled him to successfully coordinate and lead more than 20 environmental research projects.

Teaching Experience ๐Ÿ‘ฉโ€๐Ÿซ

As a mentor and educator, Prof. Duarte has supervised over 30 Ph.D. and M.Sc. students. His passion for teaching and commitment to developing the next generation of researchers is evident in the many students who have gone on to have successful careers of their own. His influence as a teacher extends through the many collaborative efforts with students and colleagues alike.

Legacy and Future Contributions ๐Ÿ”ฎ

Prof. Duarteโ€™s legacy is defined by his dedication to research that enhances public health and environmental sustainability. His work has contributed significantly to understanding the behavior of environmental contaminants and supporting sustainable practices. Moving forward, Prof. Duarte is expected to continue influencing scientific research, providing invaluable insights that help address the pressing challenges of environmental protection, health, and sustainable development. His ongoing involvement in research projects promises to further strengthen his legacy in the scientific community.

๐Ÿ“‘ Notable Publicationsย 

The impact of fiscal decentralization, green energy, and economic policy uncertainty on sustainable environment: a new perspective from ecological footprint in five OECD countries
    • Authors: S Zahra, RA Badeeb
    • Journal: Environmental Science and Pollution Research
    • Year: 2022
Innovation dynamics in the natural resource curse hypothesis: a new perspective from BRICS countries
    • Authors: RA Badeeb, KR Szulczyk, S Zahra, TC Mukherjee
    • Journal: Resources Policy
    • Year: 2023
Fiscal policy and environment: a long-run multivariate empirical analysis of ecological footprint in Pakistan
    • Authors: S Zahra, D Khan, M Nouman
    • Journal: Environmental Science and Pollution Research
    • Year: 2022
Assessing the asymmetric impact of physical infrastructure and trade openness on ecological footprint: An empirical evidence from Pakistan
    • Authors: S Zahra, D Khan, R Gupta, J Popp, J Olรกh
    • Journal: PLOS ONE
    • Year: 2022
A sustainable greenโ€“blue revolution in Pakistan: a new perspective from quantile regression analysis
    • Authors: S Zahra, SAR Shah, RA Badeeb
    • Journal: Environment, Development and Sustainability
    • Year: 2023
Do energy diversification and green growth transition help to achieve the target of carbon neutrality? Testing the validity of the EKC hypothesis under the prism of green growth
    • Authors: S Zahra, SN Fatima
    • Journal: Applied Energy
    • Year: 2024
Green growth transition and carbon neutrality nexus: A comparative study on the top carbon emitters
    • Authors: S Zahra, EA Selvanathan, R Gupta, MS Jayasinghe
    • Journal: Journal of Environmental Management
    • Year: 2025

Changjiang Liu | Remote sensing | Best Researcher Award

Dr. Changjiang Liu | Remote sensing | Best Researcher Award

Xinjiang Normal University, China

Author Profiles ๐Ÿ“š

Scopus

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Early Academic Pursuits ๐ŸŽ“

Dr. Changjiang Liu’s academic journey centers on the field of cartography and geographic information systems (GIS). His early pursuits focused on understanding the intricacies of remote sensing and its applications to environmental monitoring. This foundation laid the groundwork for his subsequent research on water environment extraction in arid regions, specifically lakes and reservoirs, using advanced remote sensing techniques. His work over the past five years has contributed significantly to the understanding of water dynamics in such challenging environments.

Professional Endeavors ๐Ÿ’ผ

Dr. Liu’s professional career has been marked by continuous engagement with cutting-edge research in remote sensing applications, particularly in the context of arid areas. He has secured various research grants, including the Open Project of Xinjiang Laboratory of Lake Environment and Resources in Arid Zone, and the Xinjiang Uygur Autonomous Region Natural Science Foundation. These projects have allowed him to explore the relationship between water quality, quantity, and environmental changes, contributing to the advancement of remote sensing technologies in resource management.

Contributions and Research Focus ๐Ÿ”ฌ

Dr. Liu’s primary research focuses on the remote sensing of water environments, especially in arid regions. His studies examine the spatiotemporal variations in water quality and quantity in lakes and reservoirs, emphasizing the role of shallow water bottom reflection and its impact on remote sensing data. By developing radiative transfer simulations, he has made significant strides in enhancing the accuracy of water monitoring. Additionally, his work on quantifying the radiation transmission mechanism in shallow water environments has improved the understanding of water behavior in arid areas.

Impact and Influence ๐ŸŒ

Dr. Liuโ€™s research has had a profound impact on the scientific community, with 10 SCI papers as the first author and numerous collaborations with international researchers. His work has been widely cited (913 times), reflecting its importance and influence in the fields of remote sensing and environmental science. His papers in prestigious journals like Journal of Cleaner Production and Science of the Total Environment have contributed to advancing knowledge on water quality monitoring, environmental protection, and sustainable resource management in arid regions.

Academic Cites ๐Ÿ“š

Dr. Liu has an H-Index of 16, which reflects the citation impact of his published work. With a total of 29 papers, his research is well-regarded in the field of environmental sciences, particularly in remote sensing. His influential articles continue to shape the discourse on water quality monitoring, environmental management, and the utilization of GIS and remote sensing technologies to assess and manage natural resources.

Technical Skills ๐Ÿ› ๏ธ

With a strong background in remote sensing and GIS, Dr. Liu possesses advanced technical skills in radiative transfer simulation, spatial data analysis, and environmental monitoring using remote sensing technologies. His expertise extends to the application of these techniques for analyzing water quality, quantity, and the environmental impacts of shallow water reservoirs and lakes. Dr. Liuโ€™s contributions to technical advancements in these areas have enhanced the accuracy of environmental assessments in arid regions.

Teaching Experience ๐ŸŽ

As a lecturer at Xinjiang Normal University, Dr. Liu imparts his knowledge and expertise to students, fostering a new generation of researchers and professionals in the fields of cartography, remote sensing, and GIS. His teaching experience includes guiding students through complex topics such as environmental monitoring, remote sensing analysis, and geographic information system applications, emphasizing both theoretical and practical aspects.

Legacy and Future Contributions ๐Ÿ”ฎ

Dr. Liu’s legacy lies in his pioneering work in the application of remote sensing for environmental monitoring in arid regions. His research has contributed to the development of more accurate techniques for assessing water quality and quantity in challenging environments. Moving forward, Dr. Liu is poised to make continued contributions to the field, with ongoing research projects that aim to refine remote sensing methodologies and improve sustainable water management practices. His future work will undoubtedly further the understanding of arid region water systems, with broad applications for resource management and environmental protection.

Top Noted Publications ๐Ÿ“–

An Advanced Spatiotemporal Fusion Model for Suspended Particulate Matter Monitoring in an Intermontane Lake
    • Authors: Zhang, F.; Duan, P.; Jim, C.Y.; Johnson, V.C.; Liu, C.; Chan, N.W.; Tan, M.L.; Kung, H.-T.; Shi, J.; Wang, W.
    • Journal: Remote Sensing
    • Year: 2023
Determining the main contributing factors to nutrient concentration in rivers in arid northwest China using partial least squares structural equation modeling
    • Authors: Wang, W.; Zhang, F.; Zhao, Q.; Liu, C.; Jim, C.Y.; Johnson, V.C.; Tan, M.L.
    • Journal: Journal of Environmental Management
    • Year: 2023
High-Resolution Planetscope Imagery and Machine Learning for Estimating Suspended Particulate Matter in the Ebinur Lake, Xinjiang, China
    • Authors: Pan Duan; Fei Zhang; Changjiang Liu; Mou Leong Tan; Jingchao Shi; Weiwei Wang; Yunfei Cai; Hsiang-Te Kung; Shengtian Yang
    • Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    • Year: 2023
Reconstruction of Sentinel Images for Suspended Particulate Matter Monitoring in Arid Regions
    • Authors: Duan, P.; Zhang, F.; Jim, C.-Y.; Tan, M.L.; Cai, Y.; Shi, J.; Liu, C.; Wang, W.; Wang, Z.
    • Journal: Remote Sensing
    • Year: 2023
Remote sensing for chromophoric dissolved organic matter (CDOM) monitoring research 2003โ€“2022: A bibliometric analysis based on the web of science core database
    • Authors: Li, Z.; Zhang, F.; Shi, J.; Chan, N.W.; Tan, M.L.; Kung, H.-T.; Liu, C.; Cheng, C.; Cai, Y.; Wang, W. et al.
    • Journal: Marine Pollution Bulletin
    • Year: 2023