Project Team
Coordinator KU Leuven
Hendrik Hameeuw
Dr. Hendrik Hameeuw Coordinator of the Cune-IIIF-orm project, is advanced imaging specialist at the Imaging Lab, KU Leuven Libraries and is affiliated as research fellow with the Ancient History Unit at KU Leuven. He studied Assyriology and Archaeology (2002 \& 2003 KU Leuven) and obtained a PhD in archaeology at UGent (2021). He is member of the executive committee of the KU Leuven Core Facility VIEW. His research interests include multi-light reflectance and multi-spectral imaging, multi-modal documentation and research strategies for heritage Studies and Digital Archaeology and Assyriology.
KU Leuven
Eli Verwimp
Eli Verwimp is a postdoctoral researcher at KU Leuven on the CUNE-IIIF-ORM project. He studied Mathematical Engineering (2020, KU Leuven) and obtained a PhD in Electrical Engineering (2025, KU Leuven) on the topic of continual learning in computer vision. His research interests include using AI as a means for advancing scientific research and leveraging AI to perform advanced data analyses. His focus is on OCR of cuneiform signs, ultimately aiming to accelerate and support the transliteration of unstudied cuneiform tablets.
Coordinator UGent
Katrien De Graef
Prof. Dr. Katrien De Graef is an Associated Professor of Assyriology and History of the Ancient Near East at Ghent University. Her research interests include the socio-economic history of Babylonia and Elam (late 3rd and early 2nd millennium BCE), gender studies, sealing praxis, multilingualism and digital Assyriology.
UGent
Gustav Ryberg Smidt
Gustav Ryberg Smidt is a PhD student at Ghent University on the CUNE-IIIF-ORM project. He is trained in Assyriology at the University of Copenhagen and has since his studies worked with digital methods to support his research. He is focused on the Old Babylonian period and the Akkadian language. Currently, his methodology leans heavily on Digital Humanities in general and especially computational linguistics.
UGent
Els Lefever
Els Lefever is an associate professor at the LT3 language and translation technology team at Ghent University. She has a strong expertise in machine learning of natural language and multilingual natural language processing, with a special interest for computational semantics, cross-lingual word sense disambiguation and sentiment analysis, multilingual terminology extraction, and digital humanities.
UGent
Lise Foket
Lise Foket joined the team of GhentCDH in 2021 as a research collaborator. As a Liaison Officer, her tasks include the coordination, communication and outreach of GhentCDH projects, mostly in the context of the CLARIAH-Flanders Open Humanities Research Infrastructure Project (CLARIAH-VL). Examples of projects on which she collaborates include the IIIF annotation and crowdsourcing platform Madoc. Her personal research interests as an historian include animal history, social history and ecological history.
Coordinator RMAH
Els Angenon
Els Angenon She leads the eCollections and Digitization team at KMKG, where she coordinates the implementation of the museum’s digital strategy. Her focus lies on the management, valorization, and preservation of digital documentation related to KMKG’s scientific collections. Currently, she is working on innovative approaches to imaging collection objects, with an emphasis on image quality, metadata accessibility, and data interoperability.
RMAH
Chris Vastenhoud
Chris Vastenhoud He is an international project coordinator within the eCollections team at KMKG, specializing in innovation in the field of cultural heritage, with a focus on 3D technologies. Among various initiatives, he coordinated Pixel+, a research project exploring the integration of RTI and PLD technologies. The project aimed to combine both into a single viewer, enhancing access to collections for diverse user communities.
RMAH
Krishna Kumar
Krishna Kumar Thirukokaranam Chandrasekar is a postdoctoral researcher at Ghent University, a scientific developer at the Ghent Centre for Digital Humanities and scientific programmer at KMKG. He is an expert in building computer vision pipelines and OCR workflows to address unique problems pertaining to the enrichment and utilisation of heritage collections. His research interests include computer vision, applied machine learning and image processing focused within the digital heritage space.
RMAH
Tony Vlogaert
Tony Vlogaert joined the project in oktober 2023 in the department of Ecollections at the Art & history museum. He holds a MA in archaeology. He is responsible for day-to-day coordination between the various partners. And assists in the realisation of work packages targeted for the KMKG
cune-iiif-orm 