Prof. Abdelfattah Zalat | Environment | Best Researcher Award

Prof. Abdelfattah Zalat,Tanta University, Faculty of Science, Geology Department, Egypt

Prof. Abdelfattah Zalat is a distinguished micropaleontologist specializing in diatom research, environmental studies, and Quaternary geology. He earned his Ph.D. in 1991 from a channel system between Köln University, Germany, and Tanta University, Egypt. With over 35 years of research experience, his work focuses on diatom applications in paleoecology, climate change assessment, and geoarchaeology. He has led multiple research projects funded by the Polish National Science Centre and National Natural Sciences Foundation of China. Currently, he is a Professor at Tanta University, Egypt, contributing extensively to micropaleontology, biostratigraphy, and past climate studies. 🌊🔬

Publication Profile

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🎓 Academic Qualifications

Prof. Abdelfattah Zalat holds a Ph.D. (1991) from a channel system between Köln University, Germany, and Tanta University, Egypt, specializing in micropaleontology (diatoms), environmental studies, and Quaternary geology. His doctoral research focused on the Quaternary diatomite of the Fayoum Depression, Western Desert, Egypt. He earned his M.Sc. (1987) in micropaleontology, stratigraphy, and Cenozoic geology from Tanta University, where he studied Eocene limestones at Gebel Mokattam and Mishgigah. He completed his B.Sc. (1982) in geology from Tanta University. His expertise spans diatom analysis, climate change studies, and biostratigraphy, significantly contributing to geological and paleoenvironmental research. 🏔️🔬

🏛️ Professional Employment

Prof. Abdelfattah Zalat has an extensive academic career in geology and micropaleontology. He began as a Demonstrator of Geology and Paleontology at Tanta University, Egypt (1982–1987), later serving as an Assistant Lecturer (1987–1988). He worked as a Research Scientist at the University of Köln, Germany (1988–1991). Returning to Tanta University, he became a Lecturer (1991–1997), then Associate Professor (1997–2003). Since February 2003, he has been a Professor of Micropaleontology (Diatoms) and Environmental Geology, contributing significantly to research in diatom applications, paleoenvironmental studies, and climate change. 🔬📖

Research and Experiences

Prof. Abdelfattah Zalat has over 35 years of expertise in diatom systematics and their applications in environmental studies. His research focuses on using diatom analysis to assess environmental and climatic changes, human impacts, and paleoecological reconstructions in European and Egyptian aquatic ecosystems, including archaeological sites. He also specializes in microfossils such as phytoliths, ostracoda, foraminifera, and calcareous nanofossils. His recent projects include climate reconstructions in Poland, the Nile Climate Change Project, and studies on Holocene climate dynamics in Faiyum Oasis, Egypt, funded by institutions like the Polish National Science Centre and NSFC. 🌿📜

🦠🔬 Research Focus

Prof. Abdelfattah Zalat specializes in micropaleontology, particularly diatoms, ostracods, foraminifera, and calcareous nannofossils. His research explores paleoecology, biostratigraphy, paleoclimatology, paleoceanography, and geoarchaeology, focusing on environmental and climate change during the Holocene. He has studied Egyptian Delta lakes, Faiyum Oasis, and Sinai to reconstruct past ecosystems. His interdisciplinary work integrates fossil diatom analysis, palynology, and remote sensing to assess historical climate fluctuations and human-environment interactions. His studies have broad applications in environmental geology, sedimentology, and archaeological site analysis, particularly in Europe and North Africa. 🌿🌊🏺

Publication Top Notes

1️⃣ Distribution of diatom assemblages and their relationship to environmental variables in the surface sediments of three northern Egyptian lakes – Cited by 79 (2005) 🌊🔬
2️⃣ Environmental change in Northern Egyptian Delta lakes during the late Holocene, based on diatom analysis – Cited by 77 (2007) 🌍📊
3️⃣ Maastrichtian-Early Eocene ostracodes from west-central Sinai, Egypt-taxonomy, biostratigraphy, paleoecology and paleobiogeography – Cited by 47 (2008) 🦠🗿
4️⃣ Distribution and origin of diatoms in the bottom sediments of the Suez Canal lakes and adjacent areas, Egypt – Cited by 44 (2002) 🌿🌊
5️⃣ Holocene lake sediments from the Faiyum Oasis in Egypt: a record of environmental and climate change – Cited by 42 (2018) 📜⏳
6️⃣ Distribution and paleoecological significance of fossil diatom assemblages from the Holocene sediments of Lake Manzala, Egypt – Cited by 30 (2000) 🏞️🔍
7️⃣ Calcareous nannoplankton and diatoms from the Eocene/Pliocene sediments, Fayoum Depression, Egypt – Cited by 27 (1995) 🦠🦴
8️⃣ Some Upper Cretaceous macroinvertebrates from Gebel El-Hamra and Gebel Um Heriba, Mitla Pass, western-central Sinai, Egypt – Cited by 25 (1992) 🐚🗺️
9️⃣ Diatoms from the Quaternary sediments of the Nile Delta, Egypt, and their palaeoecological significance – Cited by 24 (1995) 🌊📖
🔟 Holocene diatom assemblages and their palaeoenvironmental interpretations in Fayoum Depression, Western Desert, Egypt – Cited by 21 (2015) 📜🔬

Conclusion

Highly Suitable for the Best Researcher Award based on his extensive research experience, international collaborations, significant scientific contributions, and impact in the fields of micropaleontology, paleoenvironmental studies, and climate change.

Mr. Xin Wen | City sustainability | Best Researcher Award

Mr. Xin Wen, Harbin Institute of Technology, China

📘 Xin Wen is currently a Master’s student in Business Administration at the Harbin Institute of Technology, focusing on Advanced Statistics and Decision Theory (2023-2025). He holds a Bachelor’s degree in Information Management from Nanjing Tech University (2019-2023). 🌍 His research includes sustainable city assessment in Shandong and food safety risk prediction, with publications in high-impact journals. Xin’s professional experience spans marketing at Amer Sports and data analysis at BSH Home Appliances. He is an award-winning participant in various academic competitions. 💻 Skills: Python, Tableau, SPSS. 🎿 Interests: Skiing, rock climbing, and video creation with 257k+ plays.

Publication profile

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📚 Education

Wen Xin is currently pursuing a Master’s degree in Business Administration at Harbin Institute of Technology (2023-2025), specializing in advanced statistical methods and decision-making theories. He previously earned a Bachelor’s degree in Information Management from Nanjing Tech University (2019-2023), where he studied data analysis, systems engineering, and data visualization.

🧪 Academic Experience

Wen is engaged in an integrated city sustainability assessment study in Shandong, utilizing deep learning and multi-criteria decision-making. He has developed models using LSTM and GCN and contributed to a paper published in Sustainable Cities and Society. He also participated in a national key R&D project focusing on food safety risk prediction, publishing his findings in Foods.

🏆 Awards

Wen’s excellence is reflected in his awards, including First Prize in the Global Brand Planning Competition in Singapore and top honors in data analysis and mathematics competitions in China.

Research Focus

Xin Wen is a researcher whose work spans multiple domains, focusing particularly on sustainability and food safety. Their research on sustainability is exemplified by the recent study on city sustainability assessment using multicriteria decision-making and deep learning methodologies. This approach integrates advanced AI techniques with environmental science to evaluate urban sustainability comprehensively 🌆♻️. Additionally, Xin Wen has contributed to food safety research, employing ensemble deep learning for predicting food safety risks, specifically concerning heavy metals in grain processing 🌾⚖️. This indicates a dual focus on leveraging technology to enhance environmental sustainability and food security, crucial areas for global health and sustainability 🌍🔬.

Publication Top Notes

Sustainability assessment of cities using multicriteria decision-making combined with deep learning methods

A Voting-Based Ensemble Deep Learning Method Focused on Multi-Step Prediction of Food Safety Risk Levels: Applications in Hazard Analysis of Heavy Metals in Grain Processing Products

Abdelfattah Zalat | Environment | Best Researcher Award