Researcher at University of Kassel, Germany
Abdelrazek Elnashar is a soil and water scientist specializing in remote sensing, GIS, and machine learning applications for environmental sustainability. He earned his B.Sc. from Kafr El-Sheikh University, M.Sc. from Cairo University, and Ph.D. from the University of Chinese Academy of Sciences. Currently, he is a lecturer at Cairo University and a researcher at the University of Kassel, Germany. His expertise includes cloud computing, Earth observation, and geospatial analysis for soil-crop modeling. Passionate about achieving Sustainable Development Goals (SDGs), he integrates advanced data analytics with environmental research to address global challenges in soil and water management.
Publication Profile
Orcid
Academic Background š
Elnashar holds a B.Sc. in Soil and Water Sciences from Kafr El-Sheikh University (2008), followed by an M.Sc. in Natural Resources (Soil Resources) from Cairo University (2016). He later earned a Ph.D. in Cartography and Geographic Information Systems from the University of Chinese Academy of Sciences (2022), specializing in remote sensing of land and water resources. His education focused on Earth observation, geospatial modeling, and machine learning applications in soil and water sciences. His academic journey reflects a strong interdisciplinary approach, integrating environmental sciences, remote sensing, and computational techniques for sustainable land and water management.
Professional Experience š¼
Elnashar has held various research and academic positions, starting as an assistant researcher at Egyptās Ministry of Water Resources (2009-2011). He then served as a demonstrator (2011-2016) and assistant lecturer (2016-2018) at Cairo University, followed by a research assistantship at the University of Chinese Academy of Sciences (2018-2022). Since 2022, he has been a lecturer at Cairo University and a researcher at the University of Kassel, Germany. His expertise spans remote sensing, machine learning, and soil-water modeling, integrating cloud computing and GIS technologies for environmental research and sustainable resource management.
Awards and Honorsš
Elnashar received several academic distinctions, including the “Excellent International Graduate Student” award from the University of Chinese Academy of Sciences (2022) and the “Outstanding Graduate Scholarship” from the Aerospace Information Research Institute (2021). He was also recognized as an “Excellent International Student” by UCAS in 2021. His achievements highlight his contributions to remote sensing and environmental modeling, earning recognition for innovative research and academic excellence. His work in Earth observation, machine learning, and soil-water sciences continues to receive global acknowledgment for advancing sustainable land management solutions.
Research Focus š¬
Elnasharās research integrates Earth observation, remote sensing, and machine learning to address environmental challenges in soil and water sciences. His work includes cloud computing applications like Google Earth Engine, statistical downscaling, and geospatial modeling for soil erosion, evapotranspiration, and crop yield prediction. He has developed machine learning-driven tools for land and water resource assessment, contributing to sustainable agriculture and climate resilience. His expertise in GIS, remote sensing, and computational modeling supports global efforts in environmental monitoring and achieving SDGs through advanced data analytics and geospatial technologies.
Publication Top Notes
Conclusion
Abdelrazek Elnashar is a distinguished researcher specializing in Soil and Water Sciences, Remote Sensing, GIS, Machine Learning, and Cloud Computing, with a strong international presence across Egypt, Germany, and China. His impactful research in evapotranspiration mapping, climate modeling, soil erosion assessment, and crop yield prediction has been published in top-tier journals like Journal of Hydrology and Scientific Reports. He has received prestigious awards, including the Excellent International Graduate Student Award (UCAS, 2022) and the Outstanding Graduate Scholarship (AIRCAS, 2021). With expertise in Google Earth Engine, Python, and AI-driven geospatial applications, his work significantly contributes to climate adaptation, water resource management, and agricultural sustainability, making him a strong candidate for the Best Researcher Award.