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Department of Archaeology

 

Biography

I am the database developer of Mapping Africa’s Endangered Archaeological Sites and Monuments (MAEASaM) project.

I studied geology, remote sensing and GIS at Damietta and Cairo universities (Egypt). I hold MSc in Spatiotemporal Analytics and Big Data Mining from University College London. My career started with the position of an exploration geologist at a gold mining operation in Egypt and then progressed to a leading role in the Industrial Development Authority, where I helped with the digital transformation and redesigning of the industrial licensing system. Later, I built a custom API for spatiotemporal data analysis at a major multinational real estate company. Most recently I have worked for the Central Asian Archaeological Landscapes project at UCL to assist with the development and management of the Arches platform.

Research

My research focuses on analysing spatiotemporal data in multiple domains, including traffic, crime, health, real estate, manufacturing, supply chain, urban development, and government procedures. I also worked on improving the quality of urban 3D models with the help of drones and computer vision algorithms. Analysing the spread of information and misinformation on social media with NLP techniques constitutes a further application of my work.

In my current role, I help collecting, organizing, and storing archaeological data using a variety of online and offline tools. 

Publications

Key publications: 

Abdelrazek, Mahmoud & Ayad, Hassan & Hammed, Mohamed & Farag, Tamer. (2015). Fuzzy connectedness segmentation of remote sensing data in geological mapping by feature extraction.

Job Titles

Research Assistant, McDonald Institute of Archaeological Research

General Info

Available for consultancy
Research Expertise / Fields of study: 
Computational and Quantitative Archaeology

Affiliations

Person keywords: 
Database, Web Development, Artificial Intelligence, GIS, Computer Vision.
Subjects: 
Archaeology
Themes: 
Science, Technology and Innovation
Rethinking Complexity
Geographical areas: 
Africa
Egypt and Sudan