Antoine Doucet is a tenured full Professor in computer science at the L3i laboratory of the University of La Rochelle since 2014. At La Rochelle, he leads the research group in document analysis, digital contents and images (about 50 people) and directs the ICT department of the Vietnam-France University of Science and Technology of Hanoi. In addition, he is the coordinator of the H2020 project NewsEye (NewsEye: NewsEye), running until 2022, focusing on augmenting access to historical newspapers across domains and languages. He further leads the effort on semantic enrichment for low-resourced languages in the context of the H2020 project Embeddia (EMBEDDIA – Cross-Lingual Embeddings for Less-Represented Languages in European News Media). His main research interests lie in the fields of information retrieval, natural language processing, (text) data mining and artificial intelligence. The central focus of his work is the development of methods that scale to very large document collections and that use as few external resources as possible, in order to be particularly applicable to documents of any type written in any language, from news articles to social networks, and from digitized manuscripts to digitally-born documents. Antoine Doucet holds a Ph.D. in computer science from the University in Helsinki (Finland) since 2005, and a French research supervision habilitation (HDR) since 2012.
CV updated on 2021-10-11.