Mona Maze | Environmental Studies | Best Researcher Award

Assist. Prof. Dr. Mona Maze | Environmental Studies | Best Researcher Award

Assistant Professor | Agricultural Research Center | Egypt

Dr. Mona Maze is an Assistant Professor at the Agricultural Research Center, Central Laboratory for Agricultural Climate in Egypt, and an accomplished scholar in agricultural sciences with expertise in climate change, plant nutrition, data-driven agriculture, and digital innovation for sustainable farming. She earned her Ph.D. in Plant Nutrition from the Technical University of Munich, where she developed predictive models for wheat performance under water stress and climate change, building on an M.Sc. in Plant Ecology from Cairo University and a B.Sc. in Science from Ain Shams University, further strengthened by advanced training in computer science, machine learning, and spatial data science. Her professional career spans Egypt and Germany, including roles at the Bavarian State Research Center for Agriculture, where she advanced renewable energy and sustainability projects, and leadership in national and USAID-funded projects that integrate artificial intelligence, remote sensing, and big data into agricultural systems. She has spearheaded initiatives such as Egypt’s Digital Dynamic Agricultural Map and web-based decision support tools for irrigation, fertilization, and crop protection, in collaboration with leading organizations including Microsoft and ESRI. Dr. Maze’s research focuses on climate change impacts on agriculture, greenhouse gas mitigation, precision farming, and the integration of AI with ecological modeling, contributing significantly to Egypt’s greenhouse gas inventory and advancing climate-smart agriculture practices. With a distinguished record of publications, international collaborations, and technology-driven solutions that enhance resilience and productivity, she exemplifies innovative leadership at the intersection of environmental science and digital transformation, making her a strong candidate for recognition.

Profiles: Scopus | ORCID

Publications

Maze, M., Attaher, S., Taqi, M. O., Elsawy, R., Gad El-Moula, M. M. H., Hashem, F. A., & Moussa, A. S. (2025). Enhanced agricultural land use/land cover classification in the Nile Delta using Sentinel-1 and Sentinel-2 data and machine learning. ISPRS Journal of Photogrammetry and Remote Sensing, 209, 282–296.

Maze, M., Attaher, S., Taqi, M. O., Elsawy, R., Gad El-Moula, M. M. H., Hashem, F. A., & Moussa, A. S. (2025, February 17). Exploring diverse AI models for enhanced land use and land cover classification in the Nile Delta, Egypt using Sentinel-based data [Preprint]. Preprints.

Salah, M., Maze, M., & Tonbol, K. (2024). Intersecting vulnerabilities: Climate justice, gender inequality, and COVID-19’s impact on rural women in Egypt. Multidisciplinary Adaptive Climate Insights, 1(2), 1041–1058.

Maze, M., Taqi, M. O., Tolba, R., Abdel-Wareth, A. A. A., & Lohakare, J. (2024). Estimation of methane greenhouse gas emissions from livestock in Egypt during 1989 to 2021. Scientific Reports, 14, 12345.

Hijazi, O., Schoo, D., Schweiger, A., Maze, M., & Bernhardt, H. (2023). Comparative life cycle assessment of FarmBot technology with conventional and organic agriculture. In Proceedings of the 2023 ASABE Annual International Meeting (Paper No. 2300749). American Society of Agricultural and Biological Engineers.