Professor at Al al-Bayt University, Jordan
Prof. Majed Ibrahim is a distinguished professor and researcher in Remote Sensing and Geographic Information Systems (GIS) at the Faculty of Earth and Environmental Sciences, Al al-Bayt University, Jordan. He holds a Ph.D. in Remote Sensing and Landscape Information Systems from the University of Freiburg, Germany (2014), with research focused on land degradation due to agricultural activities in northeastern Jordan.
Profile:
🎓 Education:
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📍 Ph.D. in Remote Sensing & Landscape Information System – University of Freiburg, Germany (2014)
Thesis: “The Use of Geoinformatics in Investigating the Impact of Agricultural Activities on Land Degradation in NE Jordan (1990–2010)”
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🎓 M.Sc. in Remote Sensing & GIS – Al al-Bayt University, Jordan (2010)
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🎓 B.Sc. in Geology and Environmental Sciences – Al al-Bayt University, Jordan (2008)
💼 Professional Roles:
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🔹 Professor & Researcher – GIS & Remote Sensing Dept., Faculty of Earth & Environmental Sciences (2023–present)
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🔹 Director of Academic Accreditation & Acting Director of Quality and Development Center (2020–present)
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🔹 Consultant on University Rankings (QS, THE, UI GreenMetric) – Al al-Bayt University
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📍 Former Head of GIS & Remote Sensing Department (2017–2019)
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📍 Former Assistant & Associate Professor (2014–2023)
🔬 Research Interests:
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🌍 Remote Sensing Applications in Geology, Hydrology, Groundwater, and Environment
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🔥 Climate Change Modeling (LST, Evapotranspiration)
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🤖 Integration of Remote Sensing with AI
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🌱 Land Use / Land Cover Monitoring
🧑🔬 Research Visits & Projects:
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🏞️ Freiburg University, Germany – Research Visitor (2019)
Project: Land Surface Temperature in Arid and Semi-Arid Lands
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💧 Soil and water quality assessments in NE Jordan
🏆 Certifications & Training:
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✅ Certified Internal Auditor (ISO 21001 & ISO 9001)
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🏅 External Assessor Qualification – Association of Arab Universities, Egypt
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🧭 ABET & AACSB training, Microsoft Innovative Educator (MIE), Python & SWAT Analysis
🧑💼 Committee Engagements:
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🔧 Chair/Member of over 20 internal committees at Al al-Bayt University
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🌐 Chair of QS & UI GreenMetric University Ranking Committees
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🌿 Chair, University Sustainability Committee (SDGs)
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🧪 Member of the Red Sea Projects Committee (Supreme Council for Science)
💻 Technical & Software Proficiency:
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🌐 GIS & Remote Sensing Software: ArcGIS, QGIS, ENVI, ERDAS, GPS
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📊 Data & Statistical Tools: R, R Studio
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🧱 Geological Software: Surfer 16, RockWorks 16
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🖥️ Microsoft Office, Adobe, Web tools
📊 Citation Metrics:
Publication Top Notes:
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Developing a scalable framework for accurate flood forecasting in arid regions: A case study of the Jerash Basin, Jordan
Ecological Engineering & Environmental Technology, 2025.
DOI: 10.12912/27197050/201999
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Estimating land and sea surface temperatures using remote sensing and GIS: Insights into built-up areas and lithological formations in Aqaba, Jordan
Ecological Engineering & Environmental Technology, 2025.
DOI: 10.12912/27197050/200918
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Hydrological analysis of Wadi Arab Valley Dam by integrating Soil Conservation Service and GIS
Ecological Engineering & Environmental Technology, 2024.
DOI: 10.12912/27197050/194026
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Mapping of population growth influence on land use transformation from 1994 to 2015 in Madaba Governorate, Jordan
Environmental Monitoring and Assessment, 2024.
DOI: 10.1007/s10661-024-12436-1
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Derivation of flood hydrographs using SCS synthetic unit hydrograph technique for Housha catchment area
Water Supply, 2022.
DOI: 10.2166/ws.2022.169
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Delineating potential sites for artificial groundwater recharge using remote sensing and GIS techniques
Water Supply, 2022.
DOI: 10.2166/ws.2022.046
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Latest concrete materials dataset and ensemble prediction model for concrete compressive strength containing RCA and GGBFS materials
Construction and Building Materials, 2022.
DOI: 10.1016/j.conbuildmat.2022.126525
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Development of prediction model to estimate compressive strength of eco-friendly concrete using multivariate polynomial regression and stepwise method
Materials, 2022.
DOI: 10.3390/ma15010317
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Detection and modeling of soil salinity variations in arid lands using remote sensing data
Open Geosciences, 2021.
DOI: 10.1515/geo-2020-0244
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Evaluate the effect of land surface temperature in arid and semi-arid lands using remote sensing data and GIS techniques
International Journal of Global Warming, 2021.
DOI: 10.1504/IJGW.2021.116713
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Surface water quality monitoring and pollution of Ismailia Canal, Egypt, using GIS techniques
Fresenius Environmental Bulletin, 2021.
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Estimation of changes in the Dead Sea surface water area through multiple water indices and geospatial techniques
Global NEST Journal, 2021.
DOI: 10.30955/gnj.004018