Keynote & Plenary Speakers


The Hong Kong Polytechnic University, Hong Kong (香港理工大学)  

Biography: Professor Jiannong Cao is a chair professor of the Department of Computing at The Hong Kong Polytechnic University. He is also the director of the Internet and Mobile Computing Lab in the department. Before joined The Hong Kong Polytechnic University in 1997, he has been on faculty of computer science in James Cook University and The University of Adelaide in Australia, and the City University of Hong Kong. Professor Cao is currently an adjunct professor ofSun Yat-Sen University. He also held several adjunct and visiting positions, including an adjunct chair professor of Central South University; an adjunct professor of National University of Defense Technology, Northeastern University, Shanghai Jiao Tong University, Northwest Polytechnic University, and Beijing Jiaotong University; a guest professor of Shenzhen University; a visiting research professor in the National Key Lab for Novel Software Technology, Nanjing University of China; a visiting fellow in the School of Computer Science and Engineering, Nanyang Technological University of Singapore; a visiting scholar of the Institute of Software at Chinese Academy of Science, and Peking University Overseas Scholar Lecture Program.
Professor Cao’s research interests include parallel and distributed computing, wireless networks and mobile computing, big data and cloud computing, pervasive computing, and fault tolerant computing. He has co-authored 5 books in Mobile Computing, co-edited 9 books, and published over 500 papers in major international journals and conference proceedings (including top journals IEEE Network, TC, TMC, TPDS, TWC, TDSC, JSAC, TCOM, TSE; ACM TOSN, TOIT, TAAS; and PMCJ, TON, JPDC, and top conferences INFOCOM, ICNP, PERCOM, WWW, DSN, ICDCS, SRDS).  



Prof. Hayato YAMANA

Waseda University, JAPAN  

Biography: Hayato YAMANA received his Dr. Eng. degree at Waseda University in 1993. He began his career at the Electrotechnical Laboratory (ETL) of the former Ministry of International Trade and Industry (MITI), and was seconded to MITI's Machinery and Information Industries Bureau for a year in 1996. He was subsequently appointed Associate Professor of Computer Science at Waseda University in 2000, and has been a professor since 2005. From 2003 to 2004, he was IEEE Computer Society Japan Chapter Chair. Since 2015, he has been director of IPSJ (Information Processing Society of Japan) and vice chairman of information and communication society of IEICE (the institute of electronics, information and communication engineers). At Waseda University, he has been deputy Deputy Chief Information Officer and WasedaX project director since 2015. His research area is big data analysis. Currently, his group engages in Japanese government funded project called “Secure Data Sharing and Distribution Platform for Integrated Big Data Utilization - Handling all data with encryption.” For more information, please refer to  

Title of Speech: Fully Homomorphic Encryption in Cloud Computing 

Abstract: In this talk, I will pick up a privacy issue that effects to our society followed by introducing secure computation using fully homomorphic encryption (FHE) in cloud computing. IDC reported that “At least 40 percent of big data requires some level of security, from privacy protection to full-encryption.” Especially, medical information should be kept strictly secured. To handle such sensitive data, FHE is one of the key technology to realize secure computation, i.e., handling all data with encryption throughout the data life cycle. Curranty, we are engaged in Japanese government awarded project called “Secure Data Sharing and Distribution Platform for Integrated Big Data Utilization” which continues until March, 2021. Our final goal is to speed-up encrypted calculation over 1,000 times over current methods by theoretical and computer architecture optimization-approaches. Although the bottleneck of FHE is large time and space complexity, we have successfully achieved over 400 times speed-up for data mining in comparison with the state-of-the-art method. Besides, we have implemented a secure search technique without leaking any information to cloud servers. In this talk, we will introduce its current status and the future direction of secure computation.  



Prof. Hongwei Du

California State University, East Bay, USA (加州州立大学东湾校区)  

Biography: Professor Hongwei Du is the Coordinator of Information Technology Management Program in the College of Business and Economics at California State University, East Bay. He holds a Ph.D. in Operations Research from Florida Institute of Technology, a M.S. in Computer Science from Bowling Green State University and a M.S. in System Engineering from Beijing Institute of Automation. His works have been published in the California Journal of Operations Management, the European Journal of Information Systems, the International Journal of Innovation and Learning, the International Journal of Intercultural Information Management, the International Journal of Information and Decision Science, the International Journal of Electronic Healthcare, the Journal of Economic Studies, and the International Review of Business Research Papers.    

Title of Speech: Professional Sports meet Big Data 



Prof. Neil Bergmann

University of Queensland, Australia  

Biography: Neil W. Bergmann has been Professor of Embedded Systems in the School of Information technology and Electrical Engineering at the University of Queensland, Brisbane, Australia since 2001. He has bachelor degrees in electrical engineering and computer science from University of Queensland, and a PhD in Computer Science from University of Edinburgh, UK, in 1984. His research interests are in computer systems, wireless sensor networks, and in understanding the data streams that those sensors collect. He is a member of IEEE, and a Fellow of the Institution of Engineers, Australia.    

Title of Speech: Location, Location, Location: Understanding human mobility through data analytics 

Abstract: Technology trends such as Internet-of-Things, Cloud Computing, Big Data, Machine Learning and Data Analytics all affect our understanding of the world. These trends mean that an enormous amount of data is captured from people’s everyday interactions with digital systems, a proportion of that data is stored, and an even smaller amount of that data is analysed to gain useful social insights.
Human mobility within cities and between cities is an area of increasing interest. People follow regular patterns of movement from home to work, home to shopping, home to school, etc. However human mobility also includes aspects of randomness, as people visit new locations, attend special events or simply explore their environment. Understanding both the regularity and randomness of movement can provide insights that are useful for transport planning, infrastructure management, disease control, and emergency responses.
This talk will look at some of the data sources that can be used for monitoring location and mobility, and also some of the insights that can be gained from analysis of this data. This work will include a summary of some of the work done in this area by our research students at University of Queensland.  



Prof. Nen-Fu Huang

National Tsing Hua University, Taiwan  

Biography: Nen-Fu (Fred) Huang received the Ph.D. degree in computer science from National Tsing Hua University (NTHU), Taiwan, in 1986. He is now serving as the Dean of College of Electrical Engineering and Computer Science, NTHU. From 1997-2000, he was the Chairman of Department of Computer Science, NTHU and since 2008, he is a Distinguished Professor of NTHU. From 2015-2016, he was the director of Computer and Communication Research Center (CCRC) of NTHU.
His current research interests include Internet of Things (IoT) sensor networks, network security, SDN/NFV networks, MOOCs (Massive Open Online Courses) platform and learning behavior analysis , and network applications/flows identification technologies.
He received the Outstanding Teaching Award from the NTHU in 1993, 1998, and 2008, the Outstanding University/Industrial Collaboration Award from Ministry of Education, Taiwan in 1998, and Outstanding IT people Award from ITmonth, ROC in 2002. He received the Technology Transfer Award from National Science Council (NSC) of Taiwan in 2004. He received the Technology Creative Award from Computer and Communication Research Center (CCRC), NTHU in 2005, and the Outstanding University/Industrial Collaboration Award from the NTHU in 2010. He is the founder of Broadweb Corp., ( and from 2002 to 2006, he served as the CEO/Chairman of Broadweb, which was acquired by TrendMicro in 2013. He is also the founder of NetXtream Corp. (, a company developing MOOCs platform and providing MOOCs service ( Dr. Huang has published more than 200 journal and conference papers, including more than 25 IEEE/ACM Transactions papers and 50 papers in IEEE INFOCOM/ICC/GLOBECOM flag-ship conferences. Dr. Huang also has granted/pending more than 50 patents. He is a senior member of the IEEE.    


Assoc. Prof. Simon Fong

University of Macau, Macau  

Biography: Simon Fong graduated from La Trobe University, Australia, with a 1st Class Honours BEng. Computer Systems degree and a PhD. Computer Science degree in 1993 and 1998 respectively. Simon is now working as an Associate Professor at the Computer and Information Science Department of the University of Macau. He is a co-founder of the Data Analytics and Collaborative Computing Research Group in the Faculty of Science and Technology. Prior to his academic career, Simon took up various managerial and technical posts, such as systems engineer, IT consultant and e-commerce director in Australia and Asia. Dr. Fong has published over 396 international conference and peer-reviewed journal papers, mostly in the areas of data mining, data stream mining, big data analytics, meta-heuristics optimization algorithms, and their applications. He serves on the editorial boards of the Journal of Network and Computer Applications of Elsevier, IEEE IT Professional Magazine, and various special issues of SCIE-indexed journals.  

Title of Speech: Internet-of-Urgent-Things (IoUT) powered by Fog Computing and Real-time Big Data Analytics 

Abstract: Emergency control is a crucial part of smart city initiatives. Based on IoT technology, for example, fire disasters can be better managed if the sensing and analytics could be supported in real-time and in large scale. This type of networks must be scalable and (in case of urgency) the priority information transfer within, the decision making that are delegated at the device edges and at the backend must be fast enough for efficiently covering areas of various sizes, from a single room to a whole city, and even national-wide. In this talk, a new research project called Internet-of-Breath (IoB) which is a typical application scenario of IoUT is introduced as a solution to disaster control using Wireless Sensor Network, for enhancing fire-and-rescue operations with real-time information of the air quality (toxic gas) and human presence at the proximity of the fire-site. Though IoB can be useful in emergency scenario, IoB would be a useful tool in detecting human occupancy in a confined area. It can estimate approximate head-counts by inferring from the size of a room and the measured CO2 concentration level inside the room. Based on the previous experiences of SafetyNET by Professor Yang Shuanghua (Ref: which is a successful project led by Loughborough University UK and Southern University of Science and Technology Shenzhen, the team extends the capacity of the SafetyNET sensor with the additional capability of CO2 concentration measurement for IoB. With this new sensing capability, new information such as human occupancy can be measured. By knowing whether and how many people exist at the fire site and its nearby locations, extra intelligence can be obtained in addition to toxic gas, fire severity etc; this will greatly help FRS operations. Under non-urgent conditions, with the human occupancy information, we are able to design and build prototypes of applications for different scenarios that can benefit from knowing the human occupancy in real-time, through the IoB wireless sensing network. Integration of this new information on existing WSN data and systems will be presented. R&D possibilities and challenges of new applications based on human occupancy detection will be discussed in this talk.