Hassan El-Hajj is a data scientist and data curator within the Sphaera Project. He received an MA in Archaeology from the American University of Beirut where he focused on the study of domestic architecture in the Roman Near East. He also received an MS in Geoinformation Sciences, with a focus on Computer Vision and Remote Sensing from the Technische Universität Berlin, where he focused on Artificial Intelligence applications within advanced driver-assistance services (ADAS). Currently he is finishing his PhD in Classical Archaeology at the Philipps-Universität Marburg, focusing on the geospatial analysis and reconstruction of Roman Berytus, and is also a member of the Berlin Institute for the Foundation of Learning and Data (BIFOLD).
His research interests center around the use of Machine Learning within the humanities, whether for data extraction or the inference of new historical knowledge using computational approaches. His current research includes the development of graph-based machine learning approaches to gain insights into the intricate book network within the Sphaera dataset. He is also involved in maintaining and developing various machine learning workflows within the project. Finally, he is currently maintaining and expanding the Sphaera Knowledge Graph and Database.
Presentations, Talks, & Teaching Activities
International Congress on the Archaeology of the Ancient Near East (ICAANE 2021), University of Bologna
Artificial Intelligence, Machine Learning and Deep Learning in Archaeology, British School of Rome (BSR) and the European Space Agency Center for Earth Observation (ESA-ESRIN)
Broadening Horizons Conference 6, Freie Universität Berlin