Ageing Society in the Era of Pandemics: Approaches in Japan and Canada

PTJC Webinar 3: Applying AI in COVID-19

03 December 2020



Monday, December 14, 2020 | 3:00 pm (MST)
Tuesday, December 15, 2020 | 7:00 am (Japan)


Prof. Yuzuru Tanaka has been a professor emeritus of Hokkaido University (2013- ), an adjunct professor of Department of Computing Science, University of Alberta (2018- ), an affiliated scientist of ICS-FORTH (Foundation for Research and Technology - Hellas )(2010- ), the research supervisor (program officer) of the JST CREST Program on Big Data Applications (2013-2021), the program officer of EIG JST CONCERT-Japan Program on ICT for Resilient, Safe and Secure Society (2020- ), an MI (Materials Informatics) research advisor of Research and Services Division of Materials Data and Integrated System at National Institute of Materials Science (2017-2019), and visiting professors of National Institute of Informatics (2004- ), Institute of Catalysis at Hokkaido University (2017- ), and specially appointed researcher at Comprehensive Research Organization for Science and Society (CROSS)(2019- ). He had been a full professor of computer architecture at the Department of Electrical Engineering (1990-2003), then of knowledge media architecture at the Department of Computer Science, Graduate School of Information Science and Technology (2004-2017), Hokkaido University, and the founding director of Meme Media Laboratory (1995-2013), Hokkaido University. He also worked as a visiting research fellow at IBM T.J. Watson Research Center (1985-1986), a full professor of Digital Library, Graduate School of Informatics, Kyoto University (1998-2000), and series editor of Springer’s LNAI (Lecture Notes in Artificial Intelligence). His research areas covered multiprocessor architectures, database schema-design theory, database machine architectures, full text search of document image files, and automatic cut detection in movies and full video search. His recent research areas cover meme media architectures, knowledge federation frameworks, proximity-based federation of smart objects, their application to digital libraries, e-Science, clinical trials, materials informatics, and social cyber-physical systems especially for the optimization of snow removal in Sapporo based on the big data analysis of weather, traffic and road conditions.

Prof. Randy Goebel is currently professor of Computing Science in the Department of Computing Science at the University of Alberta, Associate Vice President (Research & Innovation), and Fellow and co-founder of the Alberta Machine Intelligence Institute (Amii). He received the B.Sc. (Computer Science), M.Sc. (Computing Science), and Ph.D. (Computer Science) from the Universities of Regina, Alberta, and British Columbia, respectively. Professor Goebel's theoretical work on abduction, hypothetical reasoning and belief revision is internationally well known; his recent research is focused on the formalization of visualization and explainable artificial intelligence (XAI). He has worked on optimization, algorithm complexity, systems biology, and natural language processing, including applications in legal reasoning and medical informatics. Goebel continues to run the Explainable AI Lab within Amii, working in a broad variety of research areas, including algorithm complexity, systems biology, and natural language processing, with a focus on legal reasoning and medical informatics, and is a former academic lead of the University of Alberta Precision Health Signature Area. Randy has previously held faculty appointments at the University of Waterloo, University of Tokyo, Multimedia University (Kuala Lumpur), Hokkaido University (Sapporo), visiting researcher engagements at National Institute of Informatics (Tokyo), DFKI (Germany), and NICTA (now Data61, Australia); is actively involved in collaborative research projects in Canada, Japan, China, and Germany.


Chelsea Miya is a PhD Candidate and CGS SSHRC fellow in English and Film Studies at the University of Alberta with a background in journalism. Her work explores the intersections of data and art/culture. She is a researcher with the SpokenWeb, a cross-institutional project dedicated to the discovery and preservation of literary recordings, and she will be producing an upcoming episode of Season 2 of the SpokenWeb Podcast.


Please register by Sunday, December 13 at
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