DHQ: Digital Humanities Quarterly

Author Biographies

Epameinondas-Konstantinos Barmpounis Epameinondas-Konstantinos Barmpounis is a historian with a research interest in the Greek history era beginning from the end of WWII and ending with the Regime of the Colonels. He holds a BSc in History from NKUA and an MSc in Digital Methods for the Humanities from AUEB.
Anya Dietrich Anya Dietrich is a Neuroscientist, Biologist and Laboratory Manager in Frankfurt am Main, Germany. In her doctoral thesis, she researched on the neurobiological underpinnings of the interaction of emotion and cognition. She was trained as a neurobiologist and cognitive neuroscientist at the Ernst Strüngmann Institute, Frankfurt, the Georg-August University, Göttingen and the University of Bayreuth, Germany.
David Franc David Franc is a doctoral student in the Information Engineering department at Czech University of Life Sciences in Prague. His research focuses on image object recognition. From 2021 to 2023 he participated in research addressing cuneiform recognition, as well as Palmyrene alphabet recognition, with his contribution in the area of augmenting learning datasets using GANs.
Fiammetta Ghedini Fiammetta Ghedini is the co-founder and creative director of RIVA Illustrations. She produces comics, illustrations and animations to communicate about research, by creating a bridge between top scientists and professional artists.
Shai Gordin Shai Gordin is a senior lecturer for ancient Near Eastern history and digital humanities at Ariel University, and a visiting professor at the Digital Humanities and Social Sciences Hub (DHSS Hub) at the Open University of Israel. He is the PI of the Babylonian Engine project and heads the Digital Pasts Lab, which conducts research in the computational analysis of ancient texts and artefacts ( https://digitalpasts.github.io/docs/projects.html). He is the co-initiator of the Digital Ancient Near Eastern Studies Network (DANES), co-organizer of the Ancient Language Processing Workshop at RANLP2023, and co-organizer of the first international shared task of ancient cuneiform languages translation at MT-SUMMIT2023. He currently serves on the editorial board of PLOS ONE.
Claude Grunspan Born in 1973 and a graduate of IEP Paris, Claude Grunspan went on to study image techniques at INSAS, before making documentary films in Vietnam, Italy, France and Egypt. In parallel, she currently works on archiving and documentation projects.
Martin Haltrich Martin Haltrich studied German Studies and History at the University of Vienna. His doctoral thesis dealt with late-medieval writing and practices of administration in the Chartusian monastery of Gaming (Lower Austria). He worked at the Department of Palaeography and Codicology at the Austrian Academy of Sciences and was librarian and archivist at the monastery in Zwettl. At present he is head of the library in Klosterneuburg Abbey. His research involve paleographical and codicological analyses of medieval manuscripts and late medieval administrative source material. Currently he is interested in the emergence of knowledge spaces in high medieval Central European monasteries.
Adéla Hamplová Adéla Hamplová is a doctoral student and lecturer in the field of informatics and system engineering with an emphasis on artificial intelligence at the Czech University of Life Sciences in Prague. She earned her Master's degree at the same institution, establishing a strong foundation in computer science. Her research focuses on the innovative application of deep learning and Convolutional Neural Networks for the recognition of Palmyrene characters and cuneiform in historical documents. Her passion for technology extends beyond her research, including interests in application development, 3D printing, and technical innovations. She has contributed to the field through her publications at multiple conferences and in the journal Neural Network World, as well as her reviews for the same journal. Her explorations of deep learning methods and creations of practical applications show her dedication to expanding knowledge boundaries of artificial intelligence and contributing meaningfully to the scientific community.
Dritsa Konstantina Konstantina Dritsa is a PhD student at the Business Analytics Laboratory of the Athens University of Economics and Business in Greece. She holds a BSc from the Department of Management Science and Technology and an MSc in Information Systems. Her research interests include all aspects of data science and applications of machine learning and deep learning, with a focus on machine learning models and methods that understand source code and predict its properties.
Panos Louridas Panos Louridas is an associate professor in the Department of Management Science and Technology, Athens University of Economics and Business. His research interests cover algorithmic applications and software engineering. He is also the Director of Research and Development at the National Infrastructures for Research and Technology (GRNET).
Mylène Maignant Mylène Maignant holds a PhD in Digital Humanities from Ecole normale supérieure. She studied British contemporary theatre from a digital perspective by applying data science on a large corpus based on London theatre criticism. She is currently a Data / AI consultant in Paris.
Frédérique Mélanie-Becquet Frédérique Mélanie-Becquet is an engineer in Lattice, a linguistics and natural language processing laboratory. She work on various projects in digital humanities, ranging from data digitization to the analysis and valorisation of this data.
John Pavlopoulos John Pavlopoulos is an assistant professor (elected) in machine learning in information retrieval and data mining for large document collections at the Department of Informatics of Athens University of Economics and Business, Greece. He previously served as a senior lecturer (fixed-term) in data science and NLP at the Department of Computer and Systems Sciences of Stockholm University, Sweden, and was a visiting scholar at the Venice Centre for Digital and Public Humanities, Ca’Foscari University of Venice, Italy.
Josef Pavlíček Josef Pavlicek, Ph.D., is an assistant professor at the Department of Information Engineering at the Czech University of Life Sciences in Prague, and a lecturer at the Department of Software Engineering at the Czech Technical University, Faculty Information Technology. His areas of expertise are computer vision, implementation of artificial intelligence algorithms in image recognition, and music pattern detection. He is a researcher and creator of the intelligent robotic agents educational game FactOrEasy.cz. Currently, Josef is involved in a project on weed plant recognition using a robotic platform in the specialization of machine vision and image processing automation and cooperation with other teams, especially in the areas of algorithm development.
Clément Plancq Clément Plancq is a software engineer at CNRS. He works at the MSH Val de Loire and CITERES lab, University of Tours, France. His interests include NLP for digital humanities and web development.
Thierry Poibeau Thierry Poibeau currently holds a fellowship in the Paris Artificial Intelligence Research Institute (PRAIRIE) and is also a Director of Research at CNRS, working at LATTICE, a research unit of the Ecole normale supérieure in Paris. He develops research in different areas of linguistics, natural language processing and digital humanities.
Ana Quiring Ana Quiring is the Learning Innovation Specialist at the Center for Teaching and Learning at University of Missouri — St. Louis. She received her PhD in English at Washington University in St. Louis in 2022, and she has also worked in nonprofit communications and prison education. Her scholarly work has appeared in Women’s Studies Quarterly, Feminist Modernist Studies, The Los Angeles Review of Books, and elsewhere.
Matthieu Raffard Matthieu Raffard, PhD, is a visual artist and researcher based in Paris. He teaches at Paris 1 Panthéon Sorbonne University. With the artist Mathilde Roussel under the name Raffard-Roussel, he carries on research and creations reflecting on questions of art, ecology, and technology.
Avital Romach Avital Romach is a PhD student of Assyriology at Yale University. Her second focus is on the implementation of digital humanities methodologies in traditional philological research and ancient language processing. She wrote her MA at Tel Aviv University on the fifth tablet of the Epic of Gilgamesh, and she has published articles on computational and machine learning methods used to study ancient cuneiform inscriptions and texts.
Mathilde Roussel Mathilde Roussel is a visual artist and researcher based in Paris. She is a PhD candidate in research-creation at Paris 8 Saint-Denis University. Roussel teaches at the EUR ArTeC in Paris 8 University as well as at Parsons Paris. With the artist Matthieu Raffard under the name Raffard-Roussel, she carries on research and creations reflecting on questions of art, ecology, and technology.
Markus Seidl Markus Seidl is an expert for Computer Vision and Pattern Recognition and professor at the St. Pölten University of Applied Sciences. He has gained extensive experience in scientific collaboration with other disciplines in various Digital Heritage projects, e.g. from 2010-2016 he was working intensively with an international group of archaeologists on digital documentation and analysis methods for rock art. The collaboration was awarded the Europa Nostra award for Cultural Heritage 2016. Currently Markus is working on Scribe identification in mediaeval manuscripts. In a second strand of scientific work, Markus Seidl works on digital artifacts that enhance the museum experience.
Arnošt Veselý Arnost Vesely is an associate professor of computer science at the University of Live Sciences in Prague. His research interests include deep learning, natural language processing, computer vision, bioinformatics, and artificial intelligence applications in agriculture and environmental sciences.
Julius Weißmann Julius Weißmann, is a Data Scientist at Destatis (Germany). Already in his bachelor’s program at the Goethe University, Frankfurt am Main (2015 – 2019), he was interested in big data and implemented in his thesis deep neural networks in archaeological image detection. In his Digital Humanities master at the Johannes Gutenberg-University Mainz (2019 – 2022), he focused on Machine learning and researched in his thesis on deep neural networks in scribe identification. He then worked as a junior researcher at the University of St. Pölten University of Applied Sciences.
Martin Čejka Martin Cejka, a PhD candidate in Information Engineering at the Czech University of Life Sciences in Prague, holds a Master's degree in Information and Control Technology. His expertise lies in machine learning, demonstrated through his work on "Preprocessing Audiovisual Data Using Computer Vision to Recognize UI Elements". Currently involved in ML projects, Martin focuses on SETI data analysis, unsupervised topic modeling for social networks, and eyetracking applications.