Hassan El-Hajj

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 His current work focuses on historical document analysis using Machine Learning methods, as well as knowledge generation, discovery, and recommendation in Knowledge Graphs.