Esraa El-Fawal | Environmental Data Analysis | Best Researcher Award

Assist Prof Dr. Esraa El-Fawal | Environmental Data Analysis | Best Researcher Award

Egyptian Petroleum Research Institute | Egypt

Publication Profile

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๐Ÿงฌ Suitability Summary

With over a decade of experience in applied organic chemistry, Dr. Esraa El-Fawal is a well-rounded academic and researcher specializing in environmental remediation, nanotechnology, and renewable energy. She combines strong theoretical knowledge with hands-on laboratory expertise, demonstrated by her leadership roles and extensive publication record. Her interdisciplinary approach and collaborative mindset make her highly suitable for scientific leadership, research consultancy, and advanced educational roles in sustainability, energy, and environmental science.

๐ŸŽ“ Education & Training

Dr. Esraa El-Fawal holds a PhD in Applied Organic Chemistry from Al-Azhar University, Cairo (2013โ€“2017), where she graduated with a GPA of 4.0. Her doctoral research, supervised by Dr. Yasser Moustafa, focused on the treatment of phenolic pollutants in water using nanostructural materials. She earned her MSc in Applied Organic Chemistry from the same institution (2010โ€“2012), conducting chemical studies on local latex-producing plants as renewable fuel sources under the supervision of Dr. Ramzi Habib. Her academic foundation began with a BSc in Chemistry from the Faculty of Science, Cairo University (2004โ€“2008).

๐Ÿงช Professional Experience

Since 2017, Dr. El-Fawal has been serving as an Assistant Professor in the Department of Analysis & Evaluation at the Egyptian Petroleum Research Institute (EPRI) in Cairo. In addition to her teaching and research roles, she is the Deputy Technical Supervisor of the Characterization and Description Unit. From 2013 to 2017, she worked as an Assistant Researcher at EPRI, where she led the FTIR/UV-Vis Spectroscopy Lab in the Central Laboratory, contributing significantly to materials characterization and environmental analysis.

๐Ÿ“š Professional Development

Dr. El-Fawal is committed to continuous learning and skills enhancement. She completed the ISO/IEC 17025 Awareness Training in July 2024, equipping her with international standards for testing and calibration laboratories. She is an active member of several scientific societies, including the American Chemical Society (ACS), the Egyptian Society for Advanced Materials and Nanotechnology, the Egyptian Society for Metals Corrosion and Protection, and the Women in Science Association. These affiliations reflect her dedication to scientific collaboration, innovation, and advocacy for women in STEM.

๐Ÿ”ฌ Research Focus

Her research is at the intersection of green chemistry, nanotechnology, and environmental engineering. Dr. El-Fawal focuses on the development of photocatalytic and adsorptive materialsโ€”such as MOFs, biochar, and bimetallic nanostructuresโ€”for the degradation of pollutants, heavy metal removal, and hydrogen generation through water splitting. Her work includes solar-driven wastewater treatment, visible-light active catalysts, and biomass conversion into biofuels, bridging fundamental science with industrial application.

๐Ÿ† Honors & Awards

In recognition of her academic excellence, she received a competitive grant from the Academy of Science and Technology (2010โ€“2013), valued at EGP 36,000, which supported her MSc research. She is also a co-inventor of a 2019 patent (No. 29214), titled โ€œMethod for preparing zero nanoparticles of iron, silver, or bimetallic iron and silver using phenols extracted from industrial wastewater as reducing agents.โ€ This innovative work underscores her contribution to sustainable nanomaterials and water treatment technologies.

๐Ÿ“š Top Notes Publication

Title: Green superabsorbent nanocomposite hydrogels for high-efficiency adsorption and photo-degradation/reduction of toxic pollutants from wastewater
    • Authors: Esraa M. El-Fawal

    • Journal: Polymer Testing

    • Year: 2021

Title: Synthesis of NiFeโ‚‚Oโ‚„@AC/UiOโ€66(Zr) for Enhancement of the Photocatalytic Performance of Alizarin Yellow R Under Visibleโ€light
    • Authors: Omnia A. Elshamy, Esraa M. Elโ€Fawal

    • Journal: ChemistrySelect

    • Year: 2021

Title: Computational DFT study of magnetite/graphene oxide nanoadsorbent: Interfacial chemical behavior and remediation performance of heavy metal hydrates from aqueous system
    • Authors: El-Fawal, E.M.; Saad, L.; Moustafa, Y.M.

    • Journal: Water Environment Research

    • Year: 2020

Title: Designing AgFeOโ‚‚-graphene/Cuโ‚‚(BTC)โ‚ƒ MOF heterojunction photocatalysts for enhanced treatment of pharmaceutical wastewater under sunlight
    • Authors: El-Fawal, E.M.; Younis, S.A.; Zaki, T.

    • Journal: Journal of Photochemistry and Photobiology A: Chemistry

    • Year: 2020

Title: Preparation of solar-enhanced AlZnO@carbon nano-substrates for remediation of textile wastewaters
    • Authors: El-Fawal, E.M.; Younis, S.A.; Moustafa, Y.M.; Serp, P.

    • Journal: Journal of Environmental Sciences (China)

    • Year: 2020

Changjiang Liu | Remote sensing | Best Researcher Award

Dr. Changjiang Liu | Remote sensing | Best Researcher Award

Xinjiang Normal University, China

Author Profiles ๐Ÿ“š

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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