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Keynote Speakers


Prof. Angel P. del Pobil
Director
  Robotic Intelligence Laboratory, Jaume I University
Professor
  Engineering and Computer Science Deparment
Jaume I University, Spain




Prof. James Won-Ki Hong
Dean
  Graduate School for Information Technology, POSTECH, Korea
Professor
  Dept. of Computer Science and Engineering
POSTECH, Korea





Prof. Feng Xia
Assistant Dean
  School of Software
Dalian University of Technology, China
Head
  Department of Cyber Engineering
Dalian University of Technology, China
Professor
  Dalian University of Technology, China



2017


Prof. Hiroyuki Kitagawa
Former President
  Database Society of Japan
Professor
  Center for Computational Sciences
University of Tsukuba, Japan



Real World Big Data Integration and Analysis: Research Issues and Challenges

Big data technologies have been bringing a huge impact on every aspect of human activities and human society and transforming the world. They are serving as a major driving force which will lead us to the next generation society and industry. In recent several years, many research and development projects have been launched to advance big data technologies and apply them to real societies around the globe. In Japan, the Ministry of Education, Science, Culture, Sports, Science and Technology (MEXT) started "Research and Development on Real World Big Data Integration and Analysis" two years ago, and we, a research team formed by researches from four major Japanese universities, are collaborating and actively working towards its goals. This talk will give an overview of the project including its objectives and goals, main research activities, and the research outcomes obtained in the past two years. Big Data is often characterized by several V's such as Volume, Variety, Velocity, Veracity and Value. This talk will especially highlight our research efforts to address Variety and Velocity issues, since utilization and integration of real-time social streaming data is one of key research issues in the project. I will elaborate on them such as our event-oriented stream processing system, stream OLAP analytics, unified big data processing framework integrating streaming and batch processing, and meta data inference techniques for big streaming data integration.



Prof. Jin Woo Kim
Professor
  School of Business
Yonsei University, Korea


Digital Companions: A combination of HCI and AI for Life-Companionship

In the past, we had been surrounded by many human companions who share activities with us, who involve social relations with others, and who knows us well. Companions include but not limited to husband and wife, sisters and brothers, and good old friends. However, these human companions have become less available recently due to numerous cultural and economic reasons. The lack of life companions leads to serious social problems, such as depression and suicide. In order to cover up the lack of human companions, Digital Companions have been suggested such as Pepper and Jibo. In this talk, I would like to present a conceptual model of digital companion that includes pre-requisites and core components of ideal companions. The conceptual model is composed of seven core technologies, which combine HCI and AI. This talk will explain the seven technologies and present video clips from SF movies that clearly exhibit future direction of digital life companion.



Prof. Dong-Hee Shin
Distinguished Scholar
  Ministry of Education (National Research Foundation), Korea
Professor
  School of Media and Communication
Chung-Ang University, Seoul, Korea


A User-based Model of Quality of Experience for the Internet of Things

The exponential growth of services via the Internet of Things (IoT) is making it increasingly important to cater to the quality expectations of end users. Quality of experience (QoE) can become the guiding paradigm for managing quality provisioning and application design in the IoT. This study examines the relationship between consumer experience and quality perception of IoT and develops a conceptual model for QoE in personal informatics. Using an ethnographic observation, it first characterizes quality of service (QoS) and subjective evaluation to compare QoS with QoE. It then performs a user survey to identify user behavior factors in personal informatics. It finally proposes a user experience model, conceptualizing QoE specific to personal informatics and highlighting its relationships with other factors. The model establishes a foundation for IoT service categories through a heuristic quality assessment tool from a user-centered perspective. The results overall provide the groundwork for developing future IoT services with QoE requirements, as well as for dimensioning the underlying network provisioning infrastructures, particularly with regard to wearable technologies.

2016
Prof. Jim Jansen Professor
  College of Information Sciences and Technology
Director
  Information Searching and Learning Laboratory
  The Pennsylvania State University, USA
Principal Scientist
Qatar Computing Research Institute, Qatar
   
Prof. Hongbin Zha Professor
  Department of Machine Intelligence
Director
  Key Lab of Machine Perception (MOE)
  Peking University, China

The Transformed Role of the Viewer: Second Screens and the Social Soundtrack

The nearly ubiquitous use of mobile devices integrated with easy interface with social media platforms facilitates a unique social interaction about broadcast media and other events that alters the role of the viewer from a passive to an active function, with the visitor engaged in information sharing, consumption, and dissemination often in real time. This technology affordance for online conversation about an event is referred to as the second screen phenomenon, although there may be multiple (i.e., more than two) screens involved. The resulting online conversation from second screen interaction about an event is referred to as the social soundtrack. The social soundtrack is an interesting conversational form of information sharing, information interaction, and information diffusion. This keynote will introduce the theoretical constructs and empirical measures of social soundtrack and second screen research, along with application of these constructs and measures in current investigations involving millions of posts on multiple social media platforms. Research concerning social soundtrack and secondary screens is important in identifying the influence and affordances that technology has on social media conversations from an information sharing. Research findings can also shed light on social communication in relationship to the cultural impact of broadcast media events, the social interaction in cross technology usage for second screens, and the effect of second screen technologies on pop culture and human information processing.

   

3D Reconstruction for Object Modeling and Scene Analysis

3D reconstruction is an important field in computer vision, and results accumulated in the field have found wide applications in virtual reality, creative media design, and robotics. But nevertheless, we still face great challenges when we try to use the techniques in modeling both objects with complex structures or large-scale scenes. The major difficulties come from several constraints in traditional approaches, including ambiguity and uncertainty inherent in the reconstruction algorithms, limitation on viewpoint movements, occlusion of objects, and low-resolutions of available 3D data. In the talk, I will introduce some newly developed methods aiming to solve the problems by making good use of imaging geometry principles and fusion of data from different sensors. Main topics include: reconstruction from silhouettes from a camera system with two planar mirrors; depth image super-resolution based on similarity-aware patchwork assembly; urban scene description by analysis of 3D data collected from car-mounted sensors. I also will report results from an application of such 3D digitization techniques in heritage documentation, mainly for grotto objects and scenes.



2015
Dr. Jihie Kim Vice President
Software R&D Center
Samsung Electronics, Korea
   
Prof. Mary Beth Rosson Professor and Interim Dean
College of Information Sciences and Technology
Pennsylvania State University, USA

Intelligence in Education

Social software such as online forums, Wikis, and social networking sites, plays an important role in various fields, including science, politics, and education. Our goal is to analyze social activities within online communication and collaboration environments, and develop computational tools that support and promote effective interactions and participation. This talk present our work on online discussion modeling and intelligent tools for assisting discussion participants. We first analyze how messages and individual discussants contribute to Q&A discussions. We present a model for capturing information seeking or information providing roles of messages, such as question, answer or acknowledgement. We also identify user intent in the discussion as an information seeker or a provider. We show how the role information can be combined with linguistic and temporal features for developing a predictive model of discussant performance. We also demonstrate how such role information can be used for promoting interactions among potential peer collaborators.
In the latter part of the presentation, we show how such analyses can be a powerful tool for dialogue mediators and participants. In particular, we present a computational workflow (big data) framework that enables efficient and robust integration and analyses of diverse datasets. The analysis results are used for assisting discussion mediators or facilitating just-in-time adaptation to discussants' needs, such as identifying unresolved issues or help seekers who need more assistance.

   

The iSchool Vision for Interdisciplinary University Research and Education

The emergence of iSchools has been much discussed, with respect to an interdisciplinary vision for both research and education of undergraduate and graduate students. The Pennsylvania State University was one the first iSchools, launched in 1998 to meet the needs for workforce development of students who have the skills of information technology but also to research topics in real world interdisciplinary computing. In this talk, I will give a brief history of how and why this new realm of academic pursuits has emerged, illustrated throughout with examples drawn from education and research activities at Penn State and other iSchools. Reflecting on the past 15 years, I will also point to a set of continuing challenges and opportunities for interdisciplinary study that is founded on the integration of the information sciences, an increasingly ubiquitous technological substrate, and the broad and ambiguous implications of human individuals and organizations situated in real world activities.



2014
Prof. Ben Lee Professor
School of Electrical Engineering
   and Computer Science
Oregon State University, USA
   
Prof. Hamid R. Arabnia Professor
Department of Computer Science
University of Georgia, USA

Wireless HD Video Transmission Technology: Challenges and Future Applications

Wireless High Definition Video Transmission (WHDVT) over 802.11-based networks is an important enabling technology for home networks, viewing videos on the move, and N-screen environments. However, significant challenges exist in delivering smooth playback of HD content as WHDVT becomes more pervasive and multiple streams will need to be supported on the same network. These include lossy and delay prone nature of wireless media, unequal importance of video packets, and user mobility. This talk first introduces the basic concepts of WHDVT, which include characteristics of 802.11 networks, H.264 video compression, and video streaming protocols. Then, several solutions at the various layers will be presented, which include application, RTP/UDP and RTP/TCP, MAC, and physical layers. Finally, the talk will conclude with open research issues and future directions.
   

Bio-Inspired Supercomputing and Big Data

In order to convert data to knowledge, it is necessary to search (+process) data sets that are on the order of zettabytes in size (Big Data). Conventional computers (uniprocessor systems) are unable to process Big Data in a timely manner. Inherent limitations on the computational power of sequential uniprocessor systems have lead to the development of parallel multiprocessor systems. The two major issues in the formulation and design of parallel multiprocessor systems are algorithm design and architecture design. The parallel multiprocessor systems should be so designed so as to facilitate the design and implementation of the efficient parallel algorithms that exploit optimally the capabilities of the system. From an architectural point of view, the system should have low hardware complexity, be capable of being built of components that can be easily replicated, should exhibit desirable cost-performance characteristics, be cost effective and exhibit good scalability in terms of hardware complexity and cost with increasing problem size. In distributed memory multiprocessor systems, the processing elements can be considered to be nodes that are connected together via an interconnection network... The design presented in this talk is bio-inspired.

2013
Prof. Hitoshi Aida Professor
Department of Electrical Engineering and
  Information Systems, School of Engineering
The University of Tokyo, Japan
Chairman
Committee for Information, Computer
  and Communications Policy in
  Organisation for Economic Co-operation
  and Development (OECD)
   
Prof. Tei-Wei Kuo Distinguished Professor
Department of Computer Science
  and Information Engineering
National Taiwan University, Taiwan
Executive Director
Intelligent and Ubiquitous Computing
  Thematic Center of the Research Center
  of the IT Innovation, Academia Sinica, Taiwan
Board Director
Genesys Logic, Taiwan
Chairman
Embedded Systems Group of the National
  Networked Communication Program Office
Taiwan

Renewable Energy Powered, Disaster-Resilient Wireless Network Infrastructure

Because of rapid increase of smart phones, mobile phone operators are desperately trying to offload mobile phone traffic to femto cells, WiFi hotspots or WiMAX coverage. On the other hand in Japan, because many base stations stopped operation due to long commercial power failure or broken fiber trunk after Great East Japan Earthquake, people began thinking resilience of network infrastructure seriously. Attaching large batteries or powering mobile phone base station by renewable energy, however, is not usually practical because of the size and weight of the equipments. In this talk, we investigate about the feasibility of WiFi-based wireless network infrastructure powered by renewable energy, which is connected by fiber trunk and is used to offload mobile phone traffic in ordinary times and act as a wireless-relayed mesh network after disaster.
   

The Positioning of Non-Volatile Memory in Embedded System Designs

In recent years, non-volatile memory has shown its great potentials in serving as a layer in the memory hierarchy, such as flash memory for the secondary storage of mobile devices. Their inherent characteristics also point out new directions in system designs and grand challenges. In this talk, we will first have a brief introduction to the non-volatile memory, especially flash memory and phase change memory. We will then present challenges and solutions for flash memory as a storage medium. The talk is concluded by key challenges for system designs of phase change memory.
2012
Prof. Sajal K. Das University Distinguished Scholar Professor
  Department of Computer Science
  and Engineering
Director
  Center for Research in Wireless
  Mobility and Networking (CReWMaN)
The University of Texas at Arlington, USA
   
Prof. Abdullah Mohd Zin Professor
Faculty of Information Science and Technology
Universiti Kebangsaan Malaysia

Cyber-Physical and Networked Sensor Systems: Challenges and Opportunities

Rapid advancements in embedded systems, sensors and wireless communication technologies have led to the development of cyber-physical systems, pervasive computing and smart environments with important applications such as smart grids, sustainability, health care and security. Wireless sensor networks play significant role in building such systems as they can effectively act as the human-physical interface with the digital world through sensing, communication, computing and control or actuation. However,the inherent characteristics of wireless sensor networks, typified by resource constraints, high degree of uncertainty, heterogeneity and distributed control pose significant challenges in ubiquitous information management. After introducing the basic challenges, opportunities and applications, this talk will present a novel framework for multi-modal context recognition from sensor streaming data, context-aware data fusion, and situation-aware decision making with a trade-off between information accuracy (inference quality) and energy consumption. The underlying approach is based on dynamic Bayesian and probabilistic models, machine learning, information theoretic reasoning, and game theory. The talk will be concluded with open research issues and future directions.
   

Beyond Ubiquitos Computing: The HoneyBee Ensemble Computing Environment

Since the 1980s, computing environment has moved from a centralized environment into a distributed computing environment. The distributed computing environment has also moves from one phase to another. In the 1980s, this distributed environment was provided in the form of a client-server computing, followed by the Internet computing in the 1990s. The wide availability of mobile devices together with wireless network has changed the computing environment into mobile computing and later into pervasive or ubiquitos computing environment. In 2008, European Union Interlink WG1 task group has proposed that the next wave of computing environment should be the ensemble computing in order to answer four major research challenges in the current computing environment. These challenges are (i) massive number of nodes in a system, (ii) open environment, (iii) non-deterministic environment, and (iv) adaptation. In an ensemble computing environment, computing devices can communicate and work together to complete a certain task based on peer-to-peer protocol and supporting services. The advantages of this environment can be summarized as follows: ad hoc interaction, fluidity, transience and scalability. There are two models of ensemble computing: a swarm of bats or a bee-hive. In this paper we will describe our proposed model of an ensemble environment known as the HoneyBee environment. The discussion in this paper is be divided into four main issues. The first issue is about the ensemble computing in general followed by a discussion on the formal model of HoneyBee environment. Some possible applications (two issues) within the HoneyBee environment will be described next. The fourth issue is concerning Agent Oriented Programming, which is considered to be the most suitable software development approach for this type of computing environment.
2011
Prof. S. Shyam Sundar Distinguished Professor of Communications
Co-Director
Media Effects Research Lab
The Pennsylvania State University, USA
   
Prof. Ding-Zhu Du Professor
Department of Computer Science
University of Texas at Dallas, USA

Living Interactively and Socializing Ubiquitously

This keynote talk will address the psychology of living in a ubiquitous computing environment, by focusing on how new technological affordances enable individuals to express agency and build community in an ongoing manner. The recent proliferation of location-based information tools and the popularity of communication technologies that encourage social interaction have contributed to a computationally intensive environment, with users constantly managing information for themselves as well as sharing information with others at unprecedented levels. We constantly straddle real and virtual worlds without making the distinction between the real and the virtual. We have come to expect high-fidelity, context-aware systems that serve to blur the boundary between the two. As a result, rules of interaction management are undergoing dramatic changes, with consequences for design of future systems and interfaces.
   

Next Generation Network, Wireless Network and Topology Control with Small Routing Cost

One of important components in the potential next generation network is the wireless network. Topology control is one vital factor to a wireless network efficiency. Since wireless network has no physical infrastructure, it may lead to a severe problem, known as broadcast storm problem caused by flooding inherent in on-demand routing schemes. Inspired by physical backbone in classical wired networks, the virtual backbone has been proposed and studied extensively in the literature for wireless networks to reduce the damage caused by flooding and to maximize resource utilization. However, when we employ the virtual backbone, two problems may be introduced. The first one is the increasing of routing cost. The second one is that the road load on some links may increase, which may cause traffic jam. How do we solve those problems. In this talk, we will introduce recent research work on their solutions.


 
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