Keynote Speakers


  • Geoffrey Charles Fox

    ACM Fellow, Indiana University, USA.

    Keynote Title:  High-Performance Big Data Computing

        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 67 students and published around 1300 papers in physics and computer science with an hindex of 72 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.

    Keynote Title:  From Invisible to Inevitable: Challenges in Data-Driven Discovery

        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.



  • Jiannong Cao

    IEEE Fellow, Hong Kong Polytechnic University, China.

    Keynote Title:  Towards Smart Internet-of-Things

    Abstract:  As the Internet becomes increasingly ubiquitous, it is evolving into the medium for connecting objects that are embedded in the physical world. The coupling between such objects and a worldwide standard-based communication infrastructure constitutes the Internet of Things (IoT) and is characterized by machine-to-machine (M2M) communications. IoT has many applications including smart cities, logistics, industrial control and healthcare. Currently, IoT technologies still largely focus on the networking aspect of connecting and controlling the things. As the IoT continues to develop, further potential can be realized by a combination with related technology approaches such as Smart objects, Cloud computing, Big Data, and AI. In this talk, I will describe the evolution of IoT from instrumentation and interconnection to intelligence and summarize our research in the past years along this direction towards smart IoT. Smart IoT will facilitate a sustainable platform empowering advanced applications. I will focus on the current challenges and future development of smart IoT that adds intelligence to IoT leveraging big data analytics and edge computing.

    Biography:  Dr. Cao is currently a chair professor and head of the Department of Computing at Hong Kong Polytechnic University, Hung Hom, Hong Kong. His research interests include parallel and distributed computing, computer networks, mobile and pervasive computing, fault tolerance, and middleware. He has co-authored 3 books, co-edited 9 books, and published over 300 papers in major international journals and conference proceedings. He is a fellow of IEEE, a senior member of China Computer Federation, and a member of ACM. He was the Chair of the Technical Committee on Distributed Computing of IEEE Computer Society since 2012. Dr. Cao has served as an associate editor and a member of the editorial boards of many international journals, including ACM Transactions on Sensor Networks, IEEE Transacitons on Computers, IEEE Transactions on Parallel and Distributed Systems, IEEE Networks, Pervasive and Mobile Computing Journal, and Peer-to-Peer Networking and Applications. He has also served as a chair and member of organizing / program committees for many international conferences, including PERCOM, INFOCOM, ICDCS, IPDPS, ICPP, RTSS, DSN, ICNP, SRDS, MASS, PRDC, ICC, GLOBECOM, and WCNC. Dr. Cao received the BSc degree in computer science from Nanjing University, Nanjing, China, and the MSc and the Ph.D degrees in computer science from Washington State University, Pullman, WA, USA.



  • Marian Bubak

    AGH University of Science and Technology in Poland and University of Amsterdam in The Netherlands.

    Keynote Title:  To be announced ...

        Biography: Marian Bubak has an M.Sc. degree in Technical Physics and Ph.D. in Computer Science. He is an adjunct at the Institute of Computer Science and ACC Cyfronet AGH University of Science and Technology, Kraków, Poland, and a Professor of Distributed System Enginnering at the Universiteit van Amsterdam. His research interests include parallel and distributed computing, grid systems, and e-science; he is the author of about 200 papers in this area, co-editor of 28 proceedings of international conferences and the Associate Editor of FGCS Grid Computing. In the CrossGrid Project he was the leader of the Architecture Team, the Scientific Coordinator of the K-WfGrid, the member of the Integration Monitoring Committee of the CoreGRID, and the WP leader in ViroLab and GREDIA EU IST projects, and he is the strategic Planning Team leader in PL-Grid Project.



  • Zhiwei Xu

    Chinese Academy of Sciences, China.

    Keynote Title:  T-REST: an Architectural Style for the Smart Web of Things

        Biography: Zhiwei Xu is a professor and CTO of the Institute of Computing Technology (ICT) of the Chinese Academy of Sciences (CAS). His prior industrial experience included chief engineer of Dawning Corp. (now Sugon as listed in Shanghai Stock Exchange), a leading high-performance computer vendor in China. He currently leads “Cloud-Sea Computing Systems”, a strategic priority research project of the Chinese Academy of Sciences that aims at developing billion-thread computers with elastic processors. Zhiwei Xu holds a Ph.D. degree from the University of Southern California, an MS degree from Purdue University, and a BS degree from University of Electronic Science and Technology of China.



  • Hai Zhuge

    ACM Distinguished Scientist.

    Keynote Title:  Human-Machine-Natue symbiosis

        Biography: Prof. Zhuge has made systematic contribution to semantics modeling, knowledge modelling and practice of the cyber-infrastructure for knowledge sharing and management through lasting fundamental innovation on knowledge, semantics, dimension and self-organization. He is extending his research to a long-term plan of cyber-physical society, which concerns multi-disciplinary methodological, theoretical and technical innovations with significant practical impact.



  • Weichang Du

    Professor at University of New Brunswick, Canada.

    Keynote Title:  Semantic Social Network Analysis for Business Big Data

        Biography: Weichang Du has been a Professor in Computer Science at University of New Brunswick, Canada since 1991. He obtained his MSc and PhD in Computer Science from University of Victoria, Canada in 1985 and 1991. In past 27 years, he has published many research articles and supervised more than 50 Master’s and PhD students. In recent years, he focuses on research Projects about context-aware knowledge systems.



  • Xiangyang Li

    IEEE Fellow, Professor at Illinois Institute of Technology, Chicago, USA.

    Keynote Title:  IoT in the era of AI: Intelligence, Security , and Battery-free.

        Biography: Dr. Xiang-Yang Li is a professor at Computer Science Department of IIT. He was elected as IEEE Fellow (class 2015), and ACM Distinguished Scientist (class 2015) in 2014. He is currently an EMC Visiting Chair Professor at Tsinghua University (2014.01 to 2017.07). He was an Associate Professor (from 2006 to 2012) and Assistant Professor (from 2000 to 2006) of Computer Science Department at the Illinois Institute of Technology. He was a distinguished visiting scientist at TNLIST (Tsinghua National Laboratory for Information Science and Technology), Tsinghua University from 2009-2011; a visiting professor of Microsoft Research Asia from May, 2007 to August 2008; and was also a visiting professor at HongKong Baptist University, and HongKong University of Science and Technology from 2006-2007. He is recipient of China NSF Outstanding Overseas Young Researcher (B) in 2008 and 2012. Dr. Li received MS (2000) and PhD (2001) degree at Department of Computer Science from University of Illinois at Urbana-Champaign. He received a Bachelor degree at Department of Computer Science and a Bachelor degree at Department of Business Management from Tsinghua University, P.R. China, both in 1995. He was a member of the gifted student class (with 20 students in total) in China prepared for the International Mathematics Olympics (IMO) from 1988 to 1990.



  • Weijia Jia

    Chair professor at The University of Macau.

    Keynote Title:  A Glance of Smart City Research at The University of Macau.

        Biography: Weijia Jia is the chair professor and the head of centre for data science at the university of Macau. His research interests include AI and Big Data, Men-Machines-Things Knowledge Graph Completions, Smart City and IoT Designs, Next Generation Networking and Communications, Fog Computing. He has directed 5 national basic research fund projects of China and 2 national research fund projects of China. His researches have also been funded by lots of external applied R&D grants and RGC General Research. His team published hundreds of highly-cited journal or magzine papers, and wrote or participanted in 14 books. He was awarded National Science and Tech. Achievements (China) in 1999, 2nd Prize of Science & Technology Award in 2005, National 1000 Talent of China in 2013, 3rd prize of Guangdong provincial science and technology progress in 2015, and 1st prize for scientific and technological progress by Chinese ministry of education in 2017.