Keynote Speakers


  • Geoffrey Charles Fox

    ACM Fellow, Indiana University, USA.

    Keynote Title:  Learning Everywhere: Machine Learning Delivers HPC.

    Biography: Fox received a Ph.D. in Theoretical Physics from Cambridge University and is now distinguished professor of Informatics and Computing, and Physics at Indiana University where he is director of the Digital Science Center, and Chair of Department of Intelligent Systems Engineering at the School of Informatics and Computing. He previously held positions at Caltech, Syracuse University and Florida State University after being a postdoc at the Institute of Advanced Study at Princeton, Lawrence Berkeley Laboratory and Peterhouse College Cambridge. He has supervised the PhD of 72 students and published around 1300 papers in physics and computer science with an hindex of 70 and over 28000 citations.
        He currently works in applying computer science from infrastructure to analytics in Biology, Pathology, Sensor Clouds, Earthquake and Ice-sheet Science, Image processing, Deep Learning, Network Science, Financial Systems and Particle Physics. The infrastructure work is built around Software Defined Systems on Clouds and Clusters. The analytics focuses on scalable parallelism. He is involved in several projects to enhance the capabilities of Minority Serving Institutions. He has experience in online education and its use in MOOCs for areas like Data and Computational Science. He is a Fellow of APS (Physics) and ACM (Computing).



  • Jiming Liu

    IEEE Fellow, Hong Kong Baptist University, Hong Kong China.

    Keynote Title:  AI for Social Good: Can AI Help Achieve the UN's Sustainable Development Goals?

    Biography: Jiming Liu received an M.Eng. and a Ph.D. in Electrical Engineering (Robotics) from McGill University, after a master’s in Arts and a bachelor’s in Physics. He is currently Chair Professor of Computer Science and Associate Vice-President (Research) at Hong Kong Baptist University, where he also directs Centre for Health Informatics as well as Joint Research Laboratory for Intelligent Disease Surveillance and Control (a partnership with Chinese Center for Diseases Control and Prevention, or China CDC). He has served as the Editor-in-Chief of Web Intelligence Journal (IOS), and an Associate Editor of IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Cybernetics, Big Data and Information Analytics (AIMS), Network Modeling and Analysis in Health Informatics and Bioinformatics (Springer), Neuroscience and Biomedical Engineering (Bentham), and Computational Intelligence (Wiley), among others. His recent research focuses on Data-Driven Modeling, Complex Networks, Web Intelligence (WI), Multi-Agent Autonomy-Oriented Computing (AOC), and Healthcare Informatics. He is a Fellow of IEEE.



  • Toru Ishida

    IEEE Fellow, Waseda University, Japan.

    Keynote Title:  Interdisciplinary Education for Design Innovation

    Abstract:  The global society is facing complex problems such as global warming, disasters, energy, food, population, and so on. To seek solutions, we need to develop specialists capable of designing systems and architectures for societies in collaboration with experts from different research fields.

    In 2013, "Collaborative Graduate Program in Design" started in Kyoto University (so called Kyoto University Design School). In this program, we educate experts in Cyber (such as informatics) and Physical (such as engineering) fields to develop their problem finding/solving skills in collaboration with experts in management, psychology and arts. Cross-disciplinary courses on design theory and methods have been introduced: field-based/problem-based learning (FBL/PBL), leadership training courses including field internships, as well as various academia-industry education activities in order to develop talent with a broad view and creativity.

    In 2013, "Collaborative Graduate Program in Design" started in Kyoto University (so called Kyoto University Design School). In this program, we educate experts in Cyber (such as informatics) and Physical (such as engineering) fields to develop their problem finding/solving skills in collaboration with experts in management, psychology and arts. Cross-disciplinary courses on design theory and methods have been introduced: field-based/problem-based learning (FBL/PBL), leadership training courses including field internships, as well as various academia-industry education activities in order to develop talent with a broad view and creativity.

    This talk presents experiences on interdisciplinary design education for both graduate and undergraduate students.

    Reference:  Toru Ishida, Tetsuo Sawaragi, Kumiyo Nakakoji and Takushi Sogo. Interdisciplinary Education for Design Innovation. IEEE Computer, Vol.50, No. 5, pp. 44-52, 2017.

    Biography:  Toru Ishida is a professor of Faculty of Science and Engineering, Waseda University. His academic background includes a professor of of Kyoto University from 1993 to 2019, visiting scientist/professor positions at Columbia University, Technische Universitaet Muenchen, Universite Pierre et Marie Curie, University of Maryland, Shanghai Jiao Tong University, Tsinghua University, Xinjiang University and Hong Kong Baptist University. He experienced a vice president of IEICE, and a member of the Science Council of Japan. He was a co-founder of the Department of Social Informatics, Kyoto University, and the Kyoto University Design School. His research interest lies with Autonomous Agents and Multi-Agent Systems and modeling collaboration within human societies. He contributed to create AAMAS/ICMAS/PRIMA conferences on Autonomous Agents and Multi-Agent Systems. His projects include Community Computing, Digital City, Intercultural Collaboration and the Language Grid. He is a fellow of IEEE, IEICE and IPSJ.



  • Yanchun Zhang

    Victoria University, Australia.

    Keynote Title:  Smart Health: Sleep structure analysis and computer aided diagnosis of sleep disorders

    Biography: Prof. Yanchun Zhang is the Director of the Centre for Applied Informatics (CAI), and coordinates a multidisciplinary e-research program across the University. He is an international research leader in databases, data mining, health informatics, web information systems, and web services. He has published over 220 research papers in international journals and conferences proceedings, and authored/edited 12 books. His research has been supported by a number of Australian Research Council (ARC) linkage projects and discovery project grants. His research has made significant impacts on society. For example, the multidisciplinary research into e-health has produced software systems and mapping tools to assist relevant government/industry organisations establish health needs, allowing the development of policy based on firm evidence.Prof Zhang is the Editor-In-Chief of World Wide Web journal (Springer), and Health Information Science and Systems (BioMed Central). He is Chairman of the International Web Information Systems Engineering Society (WISE Society.)
    He has won VU's Medal for Excellence in Research in 2005, and the VU Vice Chancellor's Peak Award for Research and Research Training in Research Supervision in 2011, respectively.
    Prof Zhang was a member of ARC College of Experts from 2008 to 2010.
    He received the National "Thousand Talent Program" Award from China in 2010, and is currently a director on the Australia-China Joint Lab on Social Computing and E-Health, a joint initiative from Graduate University of Chinese Academy of Science and Victoria University.



  • Domenico Talia

    DIMES Università della Calabria, Italy.

    Keynote Title:  Programming Models for Scalable Data Analysis: Towards Smart Data on Exascale

    Biography: Domenico Talia works in the area of parallel and distributed computing. His current research interests are on Cloud Computing, Big Data Analysis, Grid Computing, Parallel and Distributed Data Mining, Social Data Mining, Mobile Computing, Peer-to-Peer Computing, Parallel Programming Languages, Cellular Automata, and Distributed Systems.






  • Qing Li

    The Hong Kong Polytechnic University , Hong Kong China.

    Keynote Title:  Event Modeling and Mining for Explainable Events: a Plank Road Ahead

    Abstract:  Recently, research on event management has redrawn much attention and made great progress. As the core tasks of event management, event modeling and mining are essential for accessing and utilizing events effectively. In this talk, we provide a detailed review of event modeling and event mining. Based on a general definition, different characteristics of events are described, along with the associated challenges. Then, we define four forms of events in order to better classify currently available but somewhat confusing event types; we also compare different event representation and relationship analysis techniques used for different forms of events. We present Event Cube as an example event model which, devised to accommodate multi-sourced event discovery and multi-dimensional analysis of events, represents a big step forward towards explainable events. Finally, we discuss several pending issues and application-specific challenges which also shed light on future research directions.

    Biography: Qing Li is currently a Chair Professor (Data Science) and the Head of the Department of Computing, the Hong Kong Polytechnic University. Formerly, he was the founding Director of the Multimedia software Engineering Research Centre (MERC), and a Professor at City University of Hong Kong where he worked in the Department of Computer Science from 1998 to 2018. Prior to these, he has also taught at the Hong Kong University of Science and Technology and the Australian National University (Canberra, Australia). Prof. Li served as a consultant to Microsoft Research Asia (Beijing, China), Motorola Global Computing and Telecommunications Division (Tianjin Regional Operations Center), and the Division of Information Technology, Commonwealth Scientific and Industrial Research Organization (CSIRO) in Australia. He has been an Adjunct Professor of the University of Science and Technology of China (USTC) and the Wuhan University, and a Guest Professor of the Hunan University (Changsha, China) where he got his BEng. degree from the Department of Computer Science in 1982. He is also a Guest Professor (Software Technology) of the Zhejiang University (Hangzhou, China) -- the leading university of the Zhejiang province where he was born. Prof. Li has been actively involved in the research community by serving as an associate editor and reviewer for technical journals, and as an organizer/co-organizer of numerous international conferences. Some recent conferences in which he is playing or has played major roles include APWeb-WAIM'18, ICDM 2018, WISE2017, ICDSC2016, DASFAA2015, U-Media2014, ER2013, RecSys2013, NDBC2012, ICMR2012, CoopIS2011, WAIM2010, DASFAA2010, APWeb-WAIM'09, ER'08, WISE'07, ICWL'06, HSI'05, WAIM'04, IDEAS'03,VLDB'02, PAKDD'01, IFIP 2.6 Working Conference on Database Semantics (DS-9), IDS'00, and WISE'00. In addition, he served as a programme committee member for over fifty international conferences (including VLDB, ICDE, WWW, DASFAA, ER, CIKM, CAiSE, CoopIS, and FODO). He is currently a Fellow of IET/IEE, a Senior Member of IEEE, a member of ACM-SIGMOD and IEEE Technical Committee on Data Engineering. He is the chairperson of the Hong Kong Web Society, and also served/is serving as an executive committee (EXCO) member of IEEE-Hong Kong Computer Chapter and ACM Hong Kong Chapter. In addition, he serves as a councilor of the Database Society of Chinese Computer Federation (CCF), a member of the Big Data Expert Committee of CCF, and is a Steering Committee member of DASFAA, ER, ICWL, UMEDIA, and WISE Society.