Dr. Basma Saad | Water Harvesting | Best Researcher Award

Posted on by Global Sensor Awards

Dr. Basma Saad | Water Harvesting | Best Researcher Award 

Dr. Basma Saad | Water Harvesting | Alexandria University | Egypt

Dr. Basma Hassan Saad is a highly accomplished academic and researcher serving as an Assistant Professor at the Rural Development Department, Faculty of Agriculture, Alexandria University, Egypt, where she has made significant contributions to the advancement of sustainable development and rural policy innovation. Holding a Ph.D. in Rural Development from Alexandria University, her doctoral research specialized in Development Studies, Governance and Policy Analysis, and Social and Economic Modelling. She also earned her M.S. in Rural Development and B.S. in Rural Sociology from the same institution, establishing a strong academic foundation in sustainable rural and agricultural systems. Throughout her professional career, Dr. Basma Hassan Saad has held several leadership and coordination roles, including Coordinator of the Agricultural Social and Economic Sciences Program, Coordinator of the Quality Assurance Unit, and Coordinator of the Measurement and Evaluation Unit at the Faculty of Agriculture. Her international exposure includes a Visiting Fellowship at the National Center for Social and Economic Modelling (NATSEM), Institute for Governance and Policy Analysis, University of Canberra, Australia, where she deepened her understanding of evidence-based governance and social policy design. Her research interests encompass sustainable rural development, governance, environmental sociology, social institutions, and socio-economic policy modelling, with a focus on rural transformation, climate resilience, and institutional capacity building. Dr. Saad’s research skills are well-demonstrated through her expertise in statistical and econometric software such as SPSS, STATA, E-VIEWS, and GraphPad Prism, enabling her to perform advanced quantitative and qualitative analyses. Her works have been published in peer-reviewed and indexed journals recognized by Scopus and Google Scholar, contributing valuable insights to the global academic community. Among her academic recognitions, she received the Professor Salah Alabd Prize for academic excellence in Rural Development and the First Place Prize in Basketball among Egyptian universities, reflecting her excellence both in academia and extracurricular activities. She is actively involved in institutional development and sustainability initiatives within her university and beyond.

Professional Profiles: Google Scholar

Featured Publications

  1. Saad, B. H., Morsi, M. M. H., & Sherif, S. (2024). Farmers’ awareness, attitude, and role towards climate change: Case of olive production in Egypt. Journal of the Advances in Agricultural Researches, 29(2), 263–278. Citations: 2

  2. Saad, B. H., El-Ansary, D., & Sherif, S. (2023). An assessment of performance effectiveness of agricultural cooperatives in Egypt: Case study of Nubariya District. Alexandria Science Exchange Journal, 44(3), 473–487. Citations: 2

  3. Schneider, X., Rodriguez-Sinobas, L., Segovia Cardozo, D. A., Bahnassy, M., & Saad, B. H. (2024). Water-Energy-Food-Ecosystem Nexus transition through the responsible research and innovation roadmap: Lessons learned from four Mediterranean countries. EGU General Assembly Conference Abstracts, 363. Citations: 1

  4. Saad, B. H. (2024). Factors affecting farmers’ sustainable environmental behaviour in Egypt. ASEJAIQJSAE Journal, 45(4). Citations: 1

  5. Saad, B. H. (2022). Measuring the determinant and results of beneficiaries’ satisfaction in the public services to build effective institutional capacities in rural areas in Egypt (An applied study). The Egyptian Science Magazine, 9(1), 1–22. Citations: 1

  6. Saad, B. H. (2023). The role of governance in enhancing social inclusion and rural participation in Egypt’s agricultural sector. Journal of Rural Development and Policy Studies, 12(3), 155–172. Citations: 3

  7. Saad, B. H. (2024). Socio-economic modelling for sustainable agricultural policy development in rural Egypt. International Journal of Agricultural and Environmental Governance, 8(2), 99–115. Citations: 2

Mr. Mahdi Mohammadnezhad | Water Resource | Best Researcher Award

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Mr. Mahdi Mohammadnezhad | Water Resource | Best Researcher Award

Mr. Mahdi Mohammadnezhad | Water Resource | Ferdowsi University of Mashhad | Iran

Mr. Mahdi Mohammadnezhad is an emerging researcher in the field of water resources, hydrological modeling, and sensing technologies whose academic and professional journey reflects a strong commitment to advancing sustainable water management and integrating modern data-driven methods into traditional water balance frameworks; he pursued his Bachelor of Science in Water Science and Engineering at Ferdowsi University of Mashhad, where he laid the foundation for his expertise, and later completed. his Master of Science in Water Science and Engineering with specialization in water resources at the same institution, ranking first in his class and producing a thesis focused on enhancing the QDWB balance model through optimization and the Budyko framework, which exemplifies his ability to combine hydrological theory with practical innovation; during his academic training. he also gained extensive professional experience as a research assistant at Ferdowsi University of Mashhad, contributing to projects involving water-sensitive city planning, irrigation basin studies, and crop yield prediction under environmental stress, while his role as a senior technical expert at Hydrotech Toos Consulting Engineers enabled him to apply his scientific knowledge to real-world water management challenges

Professional Profile: Google scholar

Selected Publications

  1. Enhancing QDWB Balance Model by Utilizing Optimization and Implementation of Budyko Framework – 2024 – Cited by 12

  2. Estimation of saffron yield using machine learning and remote sensing techniques in the face of climate change – 2024 – Cited by 8

  3. A Novel Hybrid Model for Actual Evapotranspiration Estimation in Data-Scarce Arid Regions: Integrating Modified Budyko and Machine Learning Models using Deep Learning – 2024

  4. Assessment of the climate change scenarios on the CWatM model on a monthly and daily basis using an evolutionary algorithm – 2024