Keynote Speech(기조연설)

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Editor-in-Chief Hamido Fujita(Elsevier)

Vice President of International Society of Applied Intelligence (ISAI)
Editor-in-Chief Knowledge-Based System Elsevier

Challenges on Data Analytics for Risk Predictions based on Ensemble Classifiers and Subjective Analysis

20IJ4 / 12.20(수) 16:00~16:45 / 201-202호

Discovering patterns from big data attracts a lot of attention due to its importance in discovering accurate patterns and features that are used in predictions of decision making. The challenges in big data analytics are the high dimensionality and complexity in data representation analytics especially for on-line feature selection. Granular computing and feature selection on data streams are among the challenge to deal with big data analytics that is used for Decision making. We will discuss these challenges in this talk and provide new projection on ensemble learning for on-line health care risk prediction. In decision making most approaches are taking into account objective criteria, however the subjective correlation among different ensembles provided as preference utility is necessary to be presented to provide confidence preference additive among it reducing ambiguity and produce better utility preferences measurement for good quality predictions. Different type of data (time series, linguistic values, interval data, etc.) imposes some difficulties to data analytics due to preprocessing and normalization processes which are expensive and difficult when data sets are raw, or imbalanced. We will highlight these issues through project applied to health-care for elderly, by merging heterogeneous metrics from multi-sensing environment for providing health care predictions for active aging elderly at home. We have utilized ensemble learning as multi-classification techniques on multi-data streams using incremental learning for modified data. Subjectivity (i.e., service personalization) would be examined based on correlations between different contextual structures that are reflecting the framework of personal context, for example in nearest neighbor based correlation analysis fashion. Some of the attributes incompleteness also may lead to affect the approximation accuracy. Attributes with preference-ordered domain relations properties become one aspect in ordering properties in rough approximations. We outline issues on Virtual Doctor Systems, and highlights its innovation in interactions with elderly patients, also discuss these challenges in multiclass classification and decision support systems research domains. In this talk I will present the current state of art and focus it on health care risk analysis applications with examples from our experiments.



He is professor at Iwate Prefectural University (IPU), Iwate, Japan, as a director of Intelligent Software Systems. He is the Editor-in-Chief of Knowledge-Based Systems, Elsevier of impact factor (3.325) for 2015. He received Doctor Honoris Causa from O’buda University in 2013, and a title of Honorary Professor from O’buda University, Budapest, Hungary in 2011. He received honorary scholar award from University of Technology Sydney, Australia on 2012. He is Adjunct professor to Stockholm University, Sweden, University of Technology Sydney, National Taiwan Ocean University and others. He has supervised PhD students jointly with University of Laval, Quebec, Canada; University of Technology, Sydney, Australia; Oregon State University (Corvallis), University of Paris 1 Pantheon-Sorbonne, France and University of Genoa, Italy. He has four international Patents in Software System and Several research projects with Japanese industry and partners. He is vice president of International Society of Applied Intelligence, and Co-Editor in Chief of Applied Intelligence Journal, (Springer). He has given many keynotes in many prestigious international conferences on intelligent system and subjective intelligence. He headed a number of projects including Intelligent HCI, a project related to Mental Cloning as an intelligent user interface between human user and computers and SCOPE project on Virtual Doctor Systems for medical applications.

손상혁 교수(대구경북과학기술원)

President of DGIST, Korea
Professor of University of Virginia
WCU Chair Professor at Sogang University

Computing for An Era of Innovation

21M3 / 12.21(목) 14:00~14:45 / 205호

We are entering into an era of innovation and rapid change, fueled by disruptive technology. It is a new kind of technological revolution that will fundamentally change the way we live and work. In its scale, scope, and impact, the transformation will be unlike anything mankind has experienced before. If we look closely into the current revolution, it has intelligence information technologies at its core, converging with existing industries and being combined with science and engineering in diverse fields, bringing out novel innovations. One of the computational systems driving the innovation is Cyber Physical Systems (CPS). Systems featuring a tight combination of, and coordination between, the system’s computational and physical elements are broadly called CPS. They have the potential to transform how humans interact with and control the physical world. Advances in key technologies are changing how these types of systems operate. For instance, the level of uncertainty in which these systems operate is increasing, creating the need for greater resiliency. Pervasive wireless access is pushing these systems to unprecedented dynamic and non-deterministic situations. There is a critical demand for CPS to be adaptive to provide robustness to meet the requirements. In this talk, we illustrate few technologies driving the innovation, and discuss the research challenges that need to be addressed to achieve the dream of a smart and safe new world.



Sang Hyuk Son is the President of DGIST. He has been a Professor of Computer Science Department at the University of Virginia, and WCU Chair Professor at Sogang University. He received the B.S. degree in electronics engineering from Seoul National University, M.S. degree from KAIST, and the Ph.D. in computer science from University of Maryland, College Park. He has been a Visiting Professor at KAIST, City University of Hong Kong, Ecole Centrale de Lille in France, and Linkoping University and University of Skovde in Sweden. Prof. Son is IEEE Fellow, and a member of both the Korean Academy of Science & Technology and the National Academy of Engineering of Korea. He has served on the editorial board of the ACM Transactions on Cyber Physical Systems, IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, and Real-Time Systems Journal. He is a founding member of the ACM/IEEE CPS Week, and serving as a member of the steering committee for the IEEE RTCSA and Cyber Physical Systems Week. He received the Outstanding Contribution Award from the Cyber Physical Systems Week in 2012. His research interests include cyber physical systems, real-time and embedded systems, database and data services, and wireless sensor networks. He has written or co-authored over 340 papers and edited/authored 5 books in these areas. His research has been funded by the Korean Government, National Research Foundation, National Science Foundation, DARPA, Office of Naval Research, Department of Energy, National Security Agency, and IBM.

President Hironori Kasahara(2018 IEEE Computer Society)

Waseda University
IEEE Computer Society President 2018

Green Multicore Computing: Co-design of Software and Architecture

21M4 / 12.21(목) 16:00~16:45 / 205호

Green multicore computing has been attracting much attention to improve performance and reduce power consumption of computing systems facing the end of Moore’s Law. To obtain high performance and low power on multicores, co-design of hardware and software like parallelizing and power reducing compiler is very important. As an example, OSCAR (Optimally Scheduled Advanced Multiprocessor) compiler and multicore architecture, which have been researched in Kasahara’s group since 1985, are introduced. This talk includes the followings:

● Requirement of green multicore computing in automobile, smart home, AI, medical, scientific application including natural disaster simulation,
● Importance of software, especially compiler, in multicore computing,
● OSCAR multigrain parallelization compiler that hierarchically exploits coarse grain task parallelism and loop parallelism,
● global data locality optimization for cache and local memory,
● automatic power reduction controlling DVFS (Dynamic Vontage and Frequency Scaling), clock and power gating,
● heterogeneous multicore computing,
● performance and power consumption of real applications including automobile engine control, cancer treatment, scientific applications and so on various multicore systems, such as Intel, ARM, IBM, Fujitsu, Renesas and so on.



Hironori Kasahara is IEEE Computer Society (CS) 2018 President and 2017 President Elect and has served as a chair or member of 245 society and government committees, including the CS Executive Committee and Board of Governors; chair of CS Planning Committee, Multicore STC and CS Japan chapter; associate editor of IEEE Transactions on Computers; vice PC chair of the 1996 ENIAC 50th Anniversary ACM International Conference on Supercomputing; general chair of LCPC 2012; PC member of SC, PACT, and ASPLOS; board member of IEEE Tokyo section; and member of Japanese Supercomputer project committees including the Earth Simulator and K. He received a PhD in 1985 from Waseda University, Tokyo, joined its faculty in 1986, and has been a professor of computer science since 1997 and a director of the Advanced Multicore Research Institute since 2004. He was a visiting scholar at University of California, Berkeley, and the University of Illinois at Urbana?Champaign’s Center for Supercomputing R&D. Kasahara received the CS Golden Core Member Award, IEEE Fellow, IFAC World Congress Young Author Prize, IPSJ Fellow and Sakai Special Research Award, and the Japanese Minister’s Science and Technology Prize. He led Japanese national projects on parallelizing compilers and embedded multicores, and has presented 215 papers, 147 invited talks, and 30 patents. His research on multicore architectures and software has appeared in 578 newspaper and Web articles. He is also a member of IEEE Eta-Kappa-Nu, The Engineering Academy of Japan, and Science Council of Japan.



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