Mohamed Hafedh Hamza | GIS and Geospatial Applications | Excellence in Research

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Assist. Prof. Dr. Mohamed Hafedh Hamza | GIS and Geospatial Applications | Excellence in Research

Professor (Assitant), FST, Tunisia.

Dr. Mohamed Hafedh HAMZA is a Permanent Assistant Professor of Geomatics with a Ph.D. in Earth Sciences. Since 2007, he has actively contributed to academia in Tunisia and Saudi Arabia, specializing in GIS, remote sensing, and spatial data infrastructure. His multidisciplinary expertise spans education, research, scientific supervision, and journal reviewing, shaping geospatial sciences through innovation and practical applications.

Professional Profile

Scopus

Google Scholar

Orcid

🎓 Education

Dr. HAMZA earned his Doctorate in Earth Sciences, grounding his academic profile in environmental analysis and geoinformatics. His studies laid the foundation for applying parametric modeling methods (like DRASTIC and SINTACS) to assess aquifer vulnerability and land degradation in arid regions.

💼 Experience

Beginning his academic career in 2007 as Assistant Professor at the Faculty of Science of Tunis, Dr. HAMZA spent six years guiding Bachelor and Master students in geomatics. From 2013 to 2023, he joined King Abdulaziz University (Saudi Arabia), where he significantly advanced research in remote sensing and spatial analysis. He returned to his parent university in 2023, continuing his mission in academia and scientific mentorship.

🔬 Research Interests

Dr. HAMZA’s research focuses on applied GIS and remote sensing 🌍, emphasizing environmental modeling, aquifer vulnerability, spatial data infrastructures, soil erosion, urban planning, and flood risk analysis. He also explores machine learning and crowd-sourced data for mapping and geostatistical analysis, contributing to sustainable land and water management.

🏆 Awards

Dr. HAMZA’s contributions were acknowledged internationally, including an invitation to present at the “Image Information Mining” conference by ESA, JRC, and EUSC in 2011. He served on Tunisia’s National Recruitment Commission for Assistant Professors and is a frequent reviewer for high-impact journals like Elsevier, MDPI, Springer, and Taylor & Francis.

📚 Top Noted Publications

Assessment of the vulnerability to pollution potential by pesticides, La Houille Blanche (2004) — Cited by 80+ articles.

GIS-based DRASTIC vulnerability and net recharge reassessment, Journal of Environmental Management (2006) — Cited by 180+ articles.

Validity of DRASTIC, SINTACS and SI for nitrate pollution, Comptes Rendus Geoscience (2007) — Cited by 110+ articles.

GeoSpatial Visual Analytics: Validity of Methods, Springer Book Chapter (2009) — Cited by 40+ articles.

Spatial Data Infrastructure for ROSELT/OSS, Journal of Geographic Information System (2014) — Cited by 50+ articles.

Vulnérabilité à la pollution des nappes phréatiques, Book, PAF Germany (2014) — Referenced in academic libraries worldwide.

RUSLE-based soil erosion prediction, Natural Hazards (2016) — Cited by 90+ articles.

Dasymetric Mapping in Jeddah, Current Urban Studies (2016) — Cited by 30+ articles.

School Network of Makkah, Current Urban Studies (2018) — Cited by 25+ articles.

Mineral Exploration Using Geospatial Tech, Open Journal of Geology (2018) — Cited by 35+ articles.

Conclusion

Dr. Mohamed Hafedh HAMZA is a highly suitable candidate for the  Excellence Research Award, given his outstanding scholarly production, cross-continental academic engagements, supervision legacy, and peer-recognition as a reviewer. With further emphasis on citation impact, grant acquisition, and global research leadership, he stands out as a leading scholar in applied geomatics and Earth sciences.

Zezhong Zheng | remote sensing | Best Researcher Award

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Assoc. Prof. Dr. Zezhong Zheng | remote sensing | Best Researcher Award

Associate professor, University of Electronic Science and Technology of China, China🧬

Dr. Zezhong Zheng is an accomplished Associate Professor at the University of Electronic Science and Technology of China (UESTC). With over two decades of academic and industrial experience, his expertise spans remote sensing, landslide monitoring, deep learning, and geospatial intelligence. Having begun his career as an Assistant Engineer in petroleum geology, Dr. Zheng has grown into a leading researcher with over 20 peer-reviewed publications in top-tier journals. 🌏📡

Profile

Scopus

🎓 Education

Dr. Zheng completed his Ph.D. in Civil Engineering from the Southwestern Jiaotong University in 2010. He earned his M.S. in Information Engineering from Chengdu University of Technology in 2006 and received his B.S. in Earth Science from Jianghan University of Petroleum in 1999. His interdisciplinary education has laid the foundation for innovative research in geospatial science and engineering. 📘🎓🛰

👨‍🏫 Experience

Currently serving as an Associate Professor at UESTC since July 2013, Dr. Zheng previously held the position of Assistant Professor at the same university. Prior to academia, he contributed as an Assistant Engineer of Petroleum Geology at the Bohai Research Institute of CNOOC Ltd. from 1999 to 2003, enriching his expertise in geotechnical and geological fields. 🏢🛢🧑‍🏫

🔬 Research Interest

Dr. Zheng’s research interests include InSAR-based landslide detection, machine learning in remote sensing, geological hazard monitoring, and high-resolution image analysis. He is particularly focused on leveraging artificial intelligence for environmental risk mitigation and infrastructure safety. 🛰️🌋🧠

🏆 Awards

While specific awards are not listed, Dr. Zheng’s consistent publication in highly reputed journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, and Photogrammetric Engineering and Remote Sensing reflect his academic excellence and recognition in the scientific community. 🏅📚✨

📚 Publications

Landslide evolution assessment using sequential InSAR methods – Photogrammetric Engineering and Remote Sensing, 2025.
Cited for geohazard risk assessment using remote sensing.

Wildfire detection from Himawari-8 data – IEEE Transactions on Geoscience and Remote Sensing, 2024.
Cited for enhancing early wildfire response through spatiotemporal data.

Machine learning for landslide early warning – Natural Hazards Review, 2024.
Cited for AI-driven landslide prediction models.

YOLO network for UAV-based defect detection – Photogrammetric Engineering and Remote Sensing, 2024.
Cited for improving aerial inspection accuracy.

Defect prediction in power systems – Applied Sciences, 2024.
Cited for electrical system reliability diagnostics.

InSAR monitoring of Xinmo Village landslide – Photogrammetric Engineering and Remote Sensing, 2024.
Cited for landslide mapping precision.

Impervious surface extraction using Landsat and ML – Remote Sensing Applications: Society and Environment, 2023.
Cited for urban planning and environmental management.

Deep learning for satellite insulator detection – IEEE GRSL, 2023.
Cited for advancing satellite inspection techniques.

Reactor magnetic field simulation – IEEE Transactions on Power Delivery, 2023.
Cited for deep learning in energy systems.

Domain adaptation in land use classification – IEEE Transactions on Geoscience and Remote Sensing, 2023.
Cited for transfer learning in geospatial analytics

Conclusion

Zezhong Zheng is a highly accomplished researcher with a remarkable contribution to his field. His innovative work in remote sensing, machine learning applications, and environmental monitoring showcases his dedication to advancing both science and practical solutions for global challenges. With his expertise, impactful publications, and commitment to research excellence, he is undoubtedly a strong contender for the Best Researcher Award.