Adam Jatowt

Adam Jatowt is an Associate Professor in the Social Informatics Department at Kyoto University. He is actively engaged in research and academic service, currently conducting a research visit to L3i until July 18, where he presented his work on across-time term similarity computation and explanation.

Dr. Jatowt received his Ph.D. in Information Science and Technology from the University of Tokyo in 2005, with research focused on temporal document summarization. Following his doctoral studies, he worked for one year as a postdoctoral researcher at the National Institute of Information and Communications Technology (NICT).

His research centers on information retrieval and knowledge extraction from document collections, with particular emphasis on the intersection of IR and text mining with digital history. Dr. Jatowt has developed significant approaches for estimating and explaining across-time term similarity to address the terminology gap problem in historical texts. His recent work has expanded into text comprehensibility estimation, city street attribute extraction, and pedestrian route recommendation.

Dr. Jatowt maintains an active role in the academic community, having served as PC co-chair for IPRES2011, SocInfo2013, ICADL2014 and JCDL2017 conferences, as tutorial co-chair for SIGIR2017, and as co-organizer of three NTCIR evaluation tasks. He regularly participates on program committees for major conferences including WSDM, CIKM, SIGIR, JCDL, WISE, TPDL, DASFAA, SocInfo and COLING.

He also serves as a thesis advisor, most recently as co-director for Mrs. Thi Tuyet Hai NGUYEN's doctoral research on improving access to historical documents through digitization enhancement at La Rochelle University.