People

Hassan El-Hajj

Research Technology Officer (Apr 2021-Dez 2022)

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.

Selected Publications

El-Hajj, Hassan, Maryam Zamani, Jochen Büttner, Julius Martinetz, Oliver Eberle, Noga Shlomi, Anna Irene Siebold, Grégoire Montavon, Klaus-Robert Müller, Holger Kantz, and Matteo Valleriani (2022). “An Ever-Expanding Humanities Knowledge Graph: The…

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El-Hajj, Hassan, and Matteo Valleriani (2021). “CIDOC2VEC: Extracting Information from Atomized CIDOC-CRM Humanities Knowledge Graphs.” Information 12 (12). https://doi.org/10.3390/info12120503.

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El-Hajj, Hassan (2021). “Monitoring Damage to Cultural Heritage Sites Using Open Source Sentinel-1 and Sentinel-2 Data.” In Bridging the Gap: Disciplines, Times, and Spaces in Dialogue, ed. C. W. Hess and F. Manuelli, 155–171. Oxford: Archaeopress…

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Presentations, Talks, & Teaching Activities

Detecting Archaeological Damge from Space Using Open Source Data and Machine Learning: The Case of the Near East

International Congress on the Archaeology of the Ancient Near East (ICAANE 2021), University of Bologna

InSAR Coherence Patch Classification using ML: Towards Automatic Looting Detection of Archaeological

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)

Shops in Ancient Berytus: New Data from Old Excavations

Broadening Horizons Conference 6, Freie Universität Berlin

Nachrichten & Presse

Neuer Bestandteil der De Sphaera-Datenbank jetzt öffentlich zugänglich

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