Frédéric Kaplan

Expertise Digital Humanities, Big Data, Models of language acquisition and evolution, Innovative Interfaces, Artificial Intelligence, Robotics, Developmental Systems, Intrinsic Motivation, Multi-agent system, Joint attention, Gesture Interaction Expertise Digital Humanities, Big Data, Models of language acquisition and evolution, Innovative Interfaces, Artificial Intelligence, Robotics, Developmental Systems, Intrinsic Motivation, Multi-agent system, Joint attention, Gesture Interaction Short biography Professor Frédéric Kaplan directs the College of Humanities at the Swiss Federal Institute of Technology in Lausanne (EPFL). He also holds the chair of Digital Humanities and is president of the Time Machine Organization, a non-profit organization of over 600 institutions. He is the author of a dozen books, translated into several languages, and more than a hundred scientific publications. His work has also been exhibited in several major museums, including the Venice Architecture Biennale, the Grand Palais, the Centre Pompidou in Paris and the Museum of Modern Art in New York. Teaching & PhD PhD Students Alexander Michael Rusnak, Tommy Bruzzese, Ziyi Liu Past EPFL PhD Students Cyril Bornet, Vincent Buntinx, Benoît Laurent Auguste Seguin, Dario Rodighiero, Giovanni Colavizza, Félicien Goguey, Sven Najem-Meyer, Paul Guhennec, Beatrice Vaienti, Rémi Guillaume Petitpierre Past EPFL PhD Students as codirector Khaled Bachour, Quentin Bonnard, Andrea Mazzei Courses Digital humanities HUM-369 This course explores how the Humanities are being transformed in the age of AI and big data. Each session focuses on the future of a specific discipline (history, philosophy, art history). Students develop a digital prototype (Vibe coding) to accelerate research and training in SHS. Foundations of digital humanities DH-405 This course introduces the core concepts and methodologies of Digital Humanities, integrating both theoretical and practical perspectives. Students learn to work with large-scale cultural datasets, acquiring the tools and techniques required for their processing, analysis, and interpretation. Urban digital twins URB-410 This course explores urban digital twins through theory and hands-on modeling. Students build dynamic models integrating real-time, historical, and predictive data. A project on the EPFL campus using real data serves as the case study.