Keynote Speakers
主讲专家

Prof. Ryuji Kohno
IEEE Life Fellow & IEICE Fellow
Yokohama National University, Japan

Ryuji Kohno received the Ph.D. degree from the University of Tokyo in 1984. He was a Professor and the Director of Centre on Medical Information and Communication Technology, in Yokohama National University in Japan for 1998-2021 and then Professor Emeritus. In his currier he played a part-time role of a director of Advanced Telecommunications Laboratory of SONY CSL during 1998-2002, directors of UWB Technology and medical ICT institutes of NICT during 2002-2012. For 2012-2020 he was CEO of University of Oulu Research Institute Japan – CWC-Nippon Co. and since 2020 Vice-President of YRP International Alliance Institute. The meanwhile for 2007-2020 a distinguished professor in University of Oulu in Finland and since 2006 a member of the Science Council of Japan. In IEEE he was a member of the Board of Governors of Information Theory Society in 2000-2009, and editors of Transactions on Communications, Information Theory, ITS, IEEE802.15 standardization TG6ma Chair and IEEE Life Fellow. In IEICE he was Vice-president of Engineering Sciences Society of IEICE during 2004-2005, Editor-in chief of the IEICE Trans. Fundamentals during 2003-2005 and IEICE Fellow. He is a founder and a chair of steering committee of international symposia of medical information and communication technologies (ISMICT) since 2006.

Speech Title: Sustainable Platform with Enhanced Dependability Based on ICT and Data Science for Medical Healthcare and Others
Abstract: What we need for sustainable medical healthcare services in a world under COVID-19 and population ageing could be addressed in this speech. From points of view of advanced technologies, practical business and social service, research and development of information communication technology (ICT) and AI data science could have a great opportunity to carry out remote medicine and daily healthcare service but business promotion in industry and regulatory support for the service is necessary for sustainable operation. 5G and Beyond 5G(6G) infrastructure networks could be applied with sophisticated wireless body area network (BAN) and machine-learning data mining for medical social platform using advanced ICT and data science. To make such a social platform sustainable, global standard making and regulation compliance is a key for success. This speech addresses latest trend of the speaker’s chairing international standard of wireless BAN with enhanced dependability, IEEE802.15.6ma and promoting industrial business and governmental projects for the platform of integrated BAN, 5G and AI. Regulatory scientific approach to guarantee its safety and security is introduced as well as a bigger marketing the platform into automotive and other industries.





Prof. Björn Schuller
IEEE Fellow
Imperial College London, UK

Björn W. Schuller received his diploma, doctoral degree, habilitation, and Adjunct Teaching Professor in Machine Intelligence and Signal Processing all in EE/IT from TUM in Munich/Germany. He is Full Professor of Artificial Intelligence and the Head of GLAM at Imperial College London/UK, Full Professor and Chair of Embedded Intelligence for Health Care and Wellbeing at the University of Augsburg/Germany, co-founding CEO and current CSO of audEERING – an Audio Intelligence company based near Munich and in Berlin/Germany, independent research leader within the Alan Turing Institute and Royal Statistical Society Lab’s Data, Analytics and Surveillance Group, as part of the UK Health Security Agency, Guest Professor at Southeast University in Nanjing/China and permanent Visiting Professor at HIT/China amongst other Professorships and Affiliations. Previous stays include Full Professor at the University of Passau/Germany, Key Researcher at Joanneum Research in Graz/Austria, and the CNRS-LIMSI in Orsay/France. He is a Fellow of the IEEE and Golden Core Awardee of the IEEE Computer Society, Fellow of the BCS, Fellow of the ISCA, Fellow and President-Emeritus of the AAAC, and Senior Member of the ACM. He (co-)authored 1,000+ publications (40k+ citations, h-index=96), is Field Chief Editor of Frontiers in Digital Health and was Editor in Chief of the IEEE Transactions on Affective Computing amongst manifold further commitments and service to the community. His 30+ awards include having been honoured as one of 40 extraordinary scientists under the age of 40 by the WEF in 2015. He served as Coordinator/PI in 15+ European Projects, is an ERC Starting and DFG Reinhart-Koselleck Grantee, and consultant of companies such as Barclays, GN, Huawei, Informetis, or Samsung.

Speech Title: Deep Learning for Ubiquitous Health Intelligence
Abstract: Monitoring health in everyday life holds great promises for earlier detection and prevention of diseases or disorders – for all, anywhere, and anytime. At the same time, great progress was achieved in the last decade in Artificial Intelligence by Deep Learning. Deep Learning does, however, come with a number of challenges including its need for large training sample sizes, computational requirements, low explainability, security, and potentially unfair decision making. These will be addressed here in the context of ambient and mobile health monitoring. In the result, ubiquitous health intelligence at large could be around the corner – potentially improving the lives of billions.