Hassan El-Hajj is a data scientist and research IT scholar at the Institute. He received an MA in Archaeology from the American University of Beirut as well as an MSc in Geoinformation Sciences, focusing on Computer Vision and Remote Sensing research from the Technische Universität Berlin. In his thesis, he worked on Artificial Intelligence applications within advanced driver-assistance services (ADAS). He finished his PhD in Classical Archaeology at the Philipps-Universität Marburg, focusing on the geospatial analysis and reconstruction of Roman Berytus. He worked as a geospatial consultant and data scientist for numerous archaeological projects before joining the Berlin Institute for the Foundation of Learning and Data (BIFOLD) as a data scientist within the Sphaera Project of Department I between 2021 and 2022.
Hassan’s research interests center on the use of Machine Learning within the humanities and cultural domains, where he aims to bridge the gap between computer science and the humanities. His current work focuses on historical document analysis using Machine Learning methods, as well as knowledge generation, discovery, and recommendation in Knowledge Graphs.
Selected Publications
Eberle, Oliver, Jochen Büttner, Hassan El-Hajj, Grégoire Montavon, Klaus-Robert Müller, and Matteo Valleriani (2023). “Insightful Analysis of Historical Sources at Scales beyond Human Capabilities Using Unsupervised Machine Learning and XAI.” arXiv …
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El-Hajj, Hassan, Oliver Eberle, Anika Merklein, Anna Irene Siebold, Noga Shlomi, Jochen Büttner, Julius Martinetz, Klaus-Robert Müller, Grégoire Montavon, and Matteo Valleriani (2023). “Explainability and Transparency in the Realm of Digital…
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El-Hajj, Hassan and Matteo Valleriani (2023). “Prompt Me a Dataset: An Investigation of Text-Image Prompting for Historical Image Dataset Creation Using Foundation Models.” arXiv [cs], September 4, 2023. https://doi.org/10.48550/arXiv.2309.01674.
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Zamani, Maryam, Hassan El-Hajj, Malte Vogl, Holger Kantz, and Matteo Valleriani (2023). “A Mathematical Model for the Process of Accumulation of Scientific Knowledge in the Early Modern Period.” Humanities and Social Sciences Communications 10 …
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Past Events
Digital Humanities Brown Bag Lunch
Explainable AI in the Digital Humanities
MOREPresentations, Talks, & Teaching Activities
Technische Universität Berlin
BIFOLD Opening Ceremony Symposium
Berlin-Brandenburgische Akademie der Wissenschaften (BBAW)
6th Graphs and Networks in the Humanities Conference
6th Graphs and Networks in the Humanities Conference
All-Hands-Meeting der KI-Kompetenzentren – Poster
Digital Humanities and Artificial Intelligence (DHAI) Seminar
International Workshop on Machine Learning and Digital Humanities
Technische Universität Berlin
Case of the Near East
12th International Congress on the Archaeology of the Ancient Near East (ICAANE), University of Bologna
Conference on Cultural Heritage and New Technologies, Vienna
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)
British School of Rome and the European Space Agency Earth Observation Center (ESA-ESRIN)
Broadening Horizons Conference 6, Freie Universität Berlin
Freie Universität Berlin
Freie Universität Berlin
British Association of Near Eastern Archaeologists (BANEA), University of Wales Trinity Saint David – Lampeter