HIS 2024
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Qun Jin

Department of Human Informatics and Cognitive Sciences, Waseda University, Japan

Title: Understanding and Promoting Human Health through Convergent Research and with Technology Convergence of Big Data and AI

Abstract: The purpose of science and technology development around the world is shifting to human well-being. The grand challenges facing human society in the twenty-first century, such as protecting human health and promoting human well-being, cannot be solved by one discipline alone. Comprehensive use of convergence knowledge, the merging of insights obtained through convergent research from widely diverse fields, can be expected to address these challenges. Convergence is a process that stimulates innovation and discovery and leads to the creation of new problem-driven solutions by multidisciplinary and interdisciplinary collaborations. In this talk, after introducing the promising paradigm of convergent research and the concept of convergence knowledge, we will depict our vision on computing for human well-being and technology for the common good. We will further present our recent work in understanding and promoting human health through convergent research and with technology convergence of big data and artificial intelligence, such as comprehensive health data analysis for healthcare, living support and well-being promotion for the elder people.

Bio: Qun Jin is a professor in the Department of Human Informatics and Cognitive Sciences, Faculty of Human Sciences, Waseda University, Japan. He has been extensively engaged in research works in the fields of computer science, information systems, and human informatics, with a focus on understanding and supporting humans through convergent research. His recent research interests cover behavior and cognitive informatics, health informatics, artificial intelligence and machine learning, big data, personal analytics and individual modeling, trustworthy platforms for data federation, sharing, and utilization, cyber-physical-social systems, and applications in healthcare and learning support and for the realization of a carbon-neutral society. He authored or co-authored several monographs and more than 400 refereed papers published in academic journals and international conference proceedings. He served as a general chair, program chair, and keynote speaker for numerous IEEE/ACM sponsored international conferences. He served as a guest editor in recent years for IEEE Transactions on Industrial Informatics, IEEE Transactions on Computational Social Systems, IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE Transactions on Emerging Topics in Computing, IEEE MultiMedia, and IEEE Cloud Computing. He is a foreign fellow of the Engineering Academy of Japan (EAJ). More information can be found here.

alejandro

Chunxiao Xing

Department of Computer Science and Technology BNRist Institute of Internet Industry, Tsinghua University, Beijing, China

Title: Huading Medical AI System - Research and Application of Large Models for Smart Healthcare

Abstract: The report introduces the research foundation of information science and technology at Tsinghua University, analyzes the development trend of the new generation of information technology, discusses the core technology of the new generation of information technology, describes the latest progress and development trend of smart healthcare, deeply explores the development trend of medical artificial intelligence large language models, and briefly introduces the key core technologies. Finally, it provides the research and development achievements and typical cases of smart healthcare big models for Huading Medical AI system, and summarizes and prospects them.

Bio: Dr. Chunxiao Xing was born in December 1967. He is a professor of the Tsinghua University Beijing National Research Center for Information Science and Technology(BNRist), dean of Tsinghua University-Client Service International Inc. Joint Institute for Advanced Intelligent Database (JI-AIDB), associate dean of Institute for Interdisciplinary Medicine and Engineering(THUIIME), Tsinghua University. Formerly served as the associate dean of Research Institute of Information Technology(RIIT), Institute of Internet Industry(TUIII) and Institute for China Sustainable Urbanization(TUCSU), Tsinghua University.
His research primarily focuses on the Database and data warehouse, Big data and knowledge engineering, Artificial intelligence, software engineering, Blockchain technology, Smart city and E-government.
His research primarily focuses on the Database and data warehouse, Big data and knowledge engineering, Artificial intelligence, software engineering, Blockchain technology, Smart city and E-government.
He is a board member of China Computer Federation, the director of the Committee of the information system (China Computer Federation), a member of the database, the big data and software engineering (China Computer Federation) committee, the deputy director of the Blockchain Branch of Chinese Institute of Electronics, the deputy director of the Zhongguancun blockchain industrial alliance, the deputy director of health big data and digital medical branch of China International Exchange and Promotion Association for Medical and Healthcare; the executive director of Intelligent Medical Branch of Chinese Medical Doctor Association, a member of intelligent medical committee of China Medical Doctor Association, the chairman of Metaverse Special Committee(China University Artificial Intelligence and Big data Innovation Alliance), the Distinguished member of China Computer Federation.
He has won the second prize of the National Science and Technology Progress Award, the Science and Technology Achievement Award of the Ministry of Education, the first prize of China Assocition of Inventions' Innovation Award of Invention and Entrepreneurship Award, the second prize of the Achievement Award for China Industry University Research Collaboration Innovation , the Individual Award for China Industry University Research Collaboration Innovation , the annual "Metaverse 30 People" for China Metaverse Innovator Award, the annual "Blockchain 60 People" for China blockchain Innovator Award, and the Blockchain Person of the Year award.
He published more than 380 papers, including 40 SCI and 230 EI journal and conference articles. He has received 33 software copyrights, 43 patents of invention, and a technological achievement of Ministry of Education of China. His research has been supported by a number of national programs of China, such as National Basic Research Program (973), Natural Science Foundation of China, National High-Tech R&D Program (863), National High-Tech Industrialization Project of CNGI, National Science and Technology Support Program, and more than 40 projects was achieved.

Time in Hong Kong, China

Previous Conferences

HIS 2023   Melbourne, Australia
HIS 2022   Biarritz, France
HIS 2021   Melbourne, Australia
HIS 2020   Amsterdam and Leiden, Netherlands
HIS 2019   Xi'an, China
HIS 2018   Cairns, Australia
HIS 2017   Puschino, Russia
HIS 2016   Shanghai, China
HIS 2015   Melbourne, Australia
HIS 2014   Shenzhen, China
HIS 2013   London, UK
HIS 2012   Beijing, China