Professor at National Authority for Remote Sensing and Space Sciences
Short Bio
- Safaa Mohamed Hassan Sayed is a Remote Sensing & GIS Expert and the Head of the Geographic Information Systems Division at the National Authority for Remote Sensing and Space Sciences (NARSS), Cairo, Egypt. With a strong academic background and extensive professional experience, he specializes in remote sensing applications, GIS, and natural resource management. He is involved in the analysis of space and airborne sensor data, image processing, and environmental management, with significant expertise in GIS design and implementation.
Professional Profile
Educational Background
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- Ph.D. in Remote Sensing, GIS, and Geological Applications, Faculty of Sciences, Helwan University, Cairo, Egypt (2008).
Thesis: Improved Image Processing and Geographic Information Systems Techniques for Lithological, Structural, and Geomorphological Applications.
- M.Sc. in Geo-Environmental Science, GIS, and Remote Sensing, Institute of Environmental Studies and Research, Ain Shames University, Cairo, Egypt (2003).
Thesis: Geo-Environmental Study in Shalateen Area Using Remote Sensing and GIS Techniques.
- B.Sc. in Geophysics, Faculty of Science, Ain Shames University, Cairo, Egypt (1987).
Professional Experience
- Current Position: Head of the Geographic Information Systems Division, Data Reception, Analysis, and Receiving Station Affairs Division at NARSS, Cairo, Egypt.
- Expertise in:
- Digital Image Processing and GIS for remote sensing applications, natural resource assessment, terrain analysis, and environmental issues.
- Remote sensing applications in irrigation water and environmental management.
- Operation and utilization of advanced digital image processing facilities at NARSS, Cairo.
- Operation of Thermovision Infrared Cameras and analysis of thermal images for diverse applications.
- Ground truth data collection during field trips using multispectral measurements and radiometers.
- Proficient in multiple operating systems and GIS software (ERDAS Imagine, ArcGIS, and more).
Academic Experience:
- Teaching both undergraduate and postgraduate courses in remote sensing, GIS, environmental pollution, environmental hazard, and other environmental studies at multiple universities in Egypt, including Helwan University, Future University of Egypt, and the Arab Academy for Science, Technology & Maritime Transport.
- Supervised several graduation projects on GIS and remote sensing applications, including AI-based web systems for desertification evaluation using big data analysis.
Author Metrics
- While specific author metrics are not mentioned in the provided details, Safaa Mohamed Hassan Sayed’s substantial contributions in the field, particularly in remote sensing and GIS applications, reflect his impact in both academia and professional circles.
Research Interests
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- Remote sensing applications in environmental monitoring, natural resource management, and terrain analysis.
- Geographic Information Systems (GIS) design, application, and implementation.
- Environmental pollution, hazards, and geo-environmental studies.
- Image processing techniques and GIS for various geological and environmental applications.
Publication Top Noted
Semantic Segmentation of Some Rock-Forming Mineral Thin Sections Using Deep Learning Algorithms: A Case Study from the Nikeiba Area, South Eastern Desert, Egypt
- Authors: Hassan, S.M., Laban, N., Abo Khashaba, S.M., Drüppel, K., Keshk, H.M.
- Journal: Remote Sensing, 2024, 16(13), 2276.
- Citations: 1
- This article discusses the use of deep learning algorithms for semantic segmentation in rock-forming mineral thin sections, focusing on a case study from the Nikeiba Area in Egypt.
Genesis of Rare Metal Granites in the Nubian Shield: Tectonic Control and Magmatic and Metasomatic Processes
- Authors: Khedr, M.Z., Abo Khashaba, S.M., Takazawa, E., Abdelrahman, K., Ichiyama, Y.
- Journal: Minerals, 2024, 14(5), 522.
- Citations: 5
- This paper examines the genesis of rare metal granites in the Nubian Shield, highlighting tectonic controls and magmatic and metasomatic processes.
Real-ESRGAN and SWIN-U-NET Applications in Enhancing NASA Imagery for VR Solar System Models (Conference Paper)
- Authors: Ali, M., Zakaria, A., Ahmed, A., Abdelhafez, H., Hassan, S.
- Conference: 6th International Conference on Computing and Informatics (ICCI 2024), pp. 229–236.
- Citations: 0
- This conference paper explores the application of Real-ESRGAN and SWIN-U-NET techniques for enhancing NASA imagery used in virtual reality solar system models.
Integration of Remote Sensing and Geochemical Data to Characterize Mineralized A-type Granites, Egypt: Implications for Origin and Concentration of Rare Metals
- Authors: Khedr, M.Z., Khashaba, S.M.A., El-Shibiny, N.H., El-Arafy, R.A., Ichiyama, Y.
- Journal: International Journal of Earth Sciences, 2023, 112(6), pp. 1717–1745.
- Citations: 12
- This study integrates remote sensing and geochemical data to characterize mineralized A-type granites in Egypt, with insights into the origin and concentration of rare metals.
Application of Remote Sensing Data Integration in Detecting Mineralized Granitic Zones: A Case Study of the Gabal Al-Ijlah Al-Hamra, Central Eastern Desert, Egypt
- Authors: Abo Khashaba, S.M., El-Shibiny, N.H., Hassan, S.M., Takazawa, E., Khedr, M.Z.
- Journal: Journal of African Earth Sciences, 2023, 200, 104855.
- Citations: 20
- This article focuses on the integration of remote sensing data to detect mineralized granitic zones, with a case study of the Gabal Al-Ijlah Al-Hamra region in Egypt.
Conclusion
Prof. Dr. Safaa Hassan is highly suitable for the Best Researcher Award, given her outstanding contributions to remote sensing, GIS, and environmental monitoring. Her work in digital image processing, AI-integrated GIS models, and geospatial data applications demonstrates significant scientific impact and innovation. Strengthening her international funding, citation metrics, and leadership roles in global research communities will further enhance her eligibility for prestigious research awards.