Dr Ahmed Mutasim Abdalla Mahmoud

Research Associate

Ahmed Mahmoud profile

School/Department: Archaeology and Ancient History, School of



Dr Ahmed Mahmoud is a Remote Sensing Geoscientist, with a PhD in Surveying Engineering and Space Geodesy from the University of Nottingham. His expertise focuses on the use of Remote Sensing, GIS and Land Surveying for Earth Observation and Environmental Monitoring.

He is currently working as a Research Associate on the Endangered Archaeology in the Middle East and North Africa project with primary responsibilities contributing to the development of the EAMENA Machine Learning Automated Change Detection (ACD) system to monitor and predict threats on archaeological sites as well as the development of user interfaces on cloud computing services to be used by Local Antiquities Authority to support the management and preservation of heritage sites.


My current research interest is to develop change detection systems that use cloud computing services such as Google Earth Engine(GEE) and Amazon Web Services (AWS) with Machine Learning Algorithms to monitor and predict the impact of climate change and geohazards on different landscapes with a special interest in monitoring threats to archaeological sites in the MENA region. 

I have special interest in monitoring sand dunes. My PhD research focused on detecting and monitoring the movement of sand dunes using various remote sensing techniques such as radar, optical satellite imagery and airborne LiDAR.

I develop methodologies and geoprocessing frameworks that utilize remote sensing and GIS datasets to detect and monitor environmental and terrestrial changes.


  • Mahmoud, A.M.A.; Hussain, E.; Novellino, A.; Psimoulis, P.; Marsh, S. Monitoring the Dynamics of Formby Sand Dunes Using Airborne LiDAR DTMs. Remote Sens.202113, 4665.
  • Mahmoud, A.M.A., A Field Survey of Formby Coastal Dunes using TLS and GNSS. SENSED, the RSPSoc newsletter, Issue 81 July 2021.
  • Mahmoud, A.M.A.; Novellino, A.; Hussain, E.; Marsh, S.; Psimoulis, P.; Smith, M. The Use of SAR Offset Tracking for Detecting Sand Dune Movement in Sudan. Remote Sens. 2020, 12, 3410.





Press and media



  • Climate Change and Environmental Monitoring.
  • Sand Movement and Desertification Monitoring. 
  • Automated Change Detection Systems.
  • Machine Learing in Archaeology.
  • Heritage Conservation.
  • Drone Aerial Imagery. 
  • Applications of Synthetic Aparture Radar for Geohazard Monitoring.



  • PhD in Engineering Surveying and Space Geodesy, 2022. University of Nottingham.
  • MSc in Engineering Surveying and Geographical Science with Distinction, 2017. University of Nottingham. 
  • BSc in Surveying Engineering with First Class, 2013. University of Khartoum.
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