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Speakers of ICISS 2018

Prof. Guo Song
The Hong Kong Polytechnic University, Hong Kong

Song Guo received his Ph.D. in computer science from University of Ottawa. He is currently a full professor at Department of Computing, The Hong Kong Polytechnic University. Prior to joining PolyU, he was a full professor with the University of Aizu, Japan. His research interests are mainly in the areas of cloud and green computing, big data, wireless networks, and cyber-physical systems. He has published over 300 conference and journal papers in these areas and received multiple best paper awards from IEEE/ACM conferences. His research has been sponsored by JSPS, JST, MIC, NSF, NSFC, and industrial companies. Dr. Guo has served as an editor of several journals, including IEEE Transactions on Parallel and Distributed Systems (2011-2015), IEEE Transactions on Emerging Topics in Computing (2013-), IEEE Transactions on Green Communications and Networking (2016-), IEEE Communications Magazine (2015-), and Wireless Networks (2013-). He has been actively participating in international conferences as general chair and TPC chair. He is a senior member of IEEE, a senior member of ACM, and an IEEE Communications Society Distinguished Lecturer.

Speech Title: AI in Geo-Distributed Systems: From Cloud to Edge
Abstract: When accessing cloud-hosted modern applications, users often suffer a significant latency due to the long geo-distance to the central cloud. Edge computing thus emerges as an alternative paradigm that can reduce this latency by deploying services close to users. In this talk, we will analyze the methodology and limitations of popular approaches for supporting AI services on geo-distributed systems along the evolution from cloud computing to edge computing. In particular, we shall discuss how to deal with different sets of challenges in training and inference, the two phases of machine learning based applications, over heterogenous geo-distributed systems. We shall also present our recent studies on data driven resource management among networked collaborative edges.

Prof. Dong Hwa Kim
Hanbat National University, South Korea

Dr. Dong Hwa Kim received Ph.D from Ajou University in Korea and also got Ph.D from Dept. of Computational Intelligence and Systems Science, TIT (Tokyo Institute of Technology, K. Hirota Lab.), Tokyo, Japan.
He has experience in many areas such as Visiting Professor, Mechanical, Optic, Engineering Informatics, Budapest University of Technology and Economic (March 20, 2012-2013), President, Korea Institute HuCARE (President of Hu-CARE (Human-Centered Advanced Technology Research/Education, 2009 – ), EU-FP NCP (ICT) in Korea (Nov. 2009-), Korea Atomic Energy Research Institute (Nov., 1977-March, 1993), President, Daedeok Korea-India Forum (March 1, 2010 – ), Vice-president of the recognition board of the world congress of arts, sciences and communications, IBC (Sept. 1, 2007, UK), Co-editor, Japan Society for Fuzzy Theory and Intelligent Informatics, executive committees (June 2, 2007 -2009), Co-editor, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII, Fujii press, Japan (2006-), Director of National Science Foundation (2006-2008).

He wrote many columns about science & technology strategy and policy in major newspaper in Korea. He also had ever have lecture and keynote speaker in over 100 University and conference or forum over the world. He was Book Author in Hybrid Evolutionary Algorithms (Computational Intelligence 75), Springer, Germany, 2007, and published 200 papers in international Journal and awards 2000 Outstanding Intellectuals of the 21st Century, Top 100 Engineers 2008 (UK), International Einstein Award for Scientific achievement.
He got also best innovation award from Hankook Illbo (Korea major daily newspaper) on 2009. He is now working at Hanbat National University (2009 – ).

Speech Title: The Impact of Artificial Intelligence in 4th Wave Era of 21C?
Abstract: Many experts have been mentioning the impact of AI technology in the Fourth Industrial Revolution. And they prospect that this technology will change the social situation such as life style, product method, city, education, and etc. It means that our life pattern will be changed by artificial intelligence for IoT (Internet of Things), smart city, smart education, and autonomous vehicles.
Of course, these technologies will lead economy and can give opportunities to get a job and product method will be changed by these technologies. So, as researcher and engineer, we should create on how an institution is organized, how it defines operation, how it relates to surrounding communities or teams, how it responds to research solutions or the results, and how it takes part in the strategies and plan.
With the results, technology will go to convergences and smart which gives an impact to works in plan for research, education. For that we need to connect research experiences and create idea.
This lecture deals with research motivation and hybrid artificial intelligence for student, young professor and researchers, offers various research materials about hybrid artificial intelligence method and emotional technology as artificial intelligence obtained from research experience.
Conclusion suggests many possible approaches and why it is important at this point to introduce artificial intelligence, especially why we should recognize and study emotion technology earlier.
And this lecture also gives why we should innovate and how we can obtain a good idea for emotion as topic of 4th wave through experience.

Prof. Franklin Bien
Ulsan National Institute of Science and Technology, South Korea

Professor Franklin Bien received the B.S. degree from Yonsei University in 1997.
He received his M.S. and Ph.D. degrees from the Georgia Institute of Technology at Atlanta, GA in 2000 and 2006 respectively. Dr. Bien’s heritage roots from Dr. Joy Laskar. This also means Dr. Bien’s heritage roots from a Nobel laureate and the father of ‘transistor’, Dr. John Bardeen as you can see from the ‘People’ tab.
Prior to joining UNIST in 2009, Dr. Franklin Bien was with Staccato Communications, San Diego, CA as a Senior IC Design Engineer working on analog/mixed-signal IC and RF front-end blocks for Ultra-Wideband (UWB) products such as Wireless-USB.
Before working at Staccato, Dr. Bien was with Agilent Technologies and Quellan Inc., developing transceiver ICs for enterprise segments that improve the speed and reach of communication channels in consumer, broadcast, enterprise and computing markets.
In the early stage of his career including the Ph.D. work, Dr. Bien’s research interests included signal integrity improvement with alternate modulation schemes, cross-talk noise cancellation, and equalization techniques for 10+Gb/sec broadband communication applications. Dr. Bien’s research and design experiences includes CMOS RF front-end circuits for UWB wireless communications, adaptive circuits for wireless power transfer (WPT) applications, and electronics design for future automobiles and electric vehicles. For more, please visit http://bicdl.unist.ac.kr/UNIST_ECE_Franklin_Bien/Home.html.

Speech Title: Realizing the IoT Age: How to power up various sensors?
Abstract: Everyone has been talking about the Internet of Things (IoT) for several years now. From users point of view, life style can change drastically with various sensors planted everywhere helping each users in many different ways. Sensors can talk to each other to enhance the quality of life by automatically actuating different modules. However, it becomes a vary practical question to ask: How are we going to power up various sensors that enable the true IoT age?
In this keynote, several data sets will be shown to convince the forth coming IoT age. Not only to enhance the life style of users, but also to strive telecommunication business. Then from a hardware realization point of view, different technologies to send power to remotely located sensors will be introduced along with the limitations and possibilities of each technologies.

Invited Speaker

Prof. Vitaliy Mezhuyev
University Malaysia Pahang, Malaysia

Vitaliy Mezhuyev received BS and MS degrees in physics and informatics from Berdyansk State Pedagogical University (BSPU), Ukraine, in 1997. In 2002, he received a PhD in Physics Instruction from Kiev National Pedagogical University and, in 2012, a ScD in Information Technologies from Odessa National Technical University, Ukraine. From 2004 until 2014, he was a Head of the Department of Informatics and Software Engineering at BSPU, Ukraine. Now he is Professor at Faculty of Computer Systems and Software Engineering in University Malaysia Pahang, Head of the Software Engineering Research Group. During his career, Vitaliy Mezhuyev participated in the multiple international scientific and industrial projects, devoted to formal modelling, design, and development of advanced software systems as a network-centric real-time operating system; IDEs for the automation of development of parallel real-time applications; tools for specification, verification and validation of software products; visual environment for metamaterials modelling and others. His current research interests include formal methods, metamodeling, safety modelling and verification of hybrid software systems, and the design of cyber-physical systems.

Speech Title: Metamodelling Approach for Modelling Domains having Different Mathematical Structure
Abstract: The methodology of Domain Specific Mathematical Modelling (DSMM), which implementation aims to overcome the shortcomings of an existing methodology of Domain-Specific Modelling is proposed. DSMM introduces an additional level of the metamodelling architecture, which allows us to take into account the mathematical structure of the modelled domains, and to apply mathematical operations for the development of new effective methods for solving domain-specific problems. The concepts of the metamodel, metamodelling, levels of the metamodelling architecture and the formal semantics of the DSMM metamodels are defined. Examples of DSMM application for the development of metamodels and their use for the domains modelling are discussed.