Keynote Speakers

Introduction of Speakers

2021 Speakers

Prof. Masakatsu Fujiwara

Prof. Chih-Yu Wen

Chih-Yu Wen received the Ph.D. degree in electrical engineering from the University of Wisconsin-Madison, USA, in 2005. He joined the Department of Electrical Engineering at National Chung Hsing University, Taichung, Taiwan in 2006, where he is now a Distinguished Professor. His current research interests include wireless communications, biomedical signal processing for health monitoring, software-defined radio, smart agriculture, and distributed networked sensing and control. He has held twelve Taiwanese invention patents in pervasive healthcare. Prof. Wen is a member of Chinese Institute of Engineers and a senior member of IEEE. Since January 2018, he has served as an Associate Editor of IET signal processing. Since July 2020, he has also been a Guest Editor of the Processes Journal for the Special Issue - Smart Systems and Internet of Things (IoT). He received the Outstanding Young Investigator Award – National Chung Hsing University in 2014, and the National Innovation Awards – Institute for Biotechnology and Medicine Industry in 2016, 2018 and 2019.

Title: Networked Sensing and Control for Internet of Medical Things

Abstract: With the developments of networked sensing and information processing technologies, significant breakthroughs have been made for the Internet of Medical Things (IoMT) applications. In order to successfully implement the IoMT healthcare, smart and effective solutions linked to the cross-cutting issues will be an important subject in future engineering design. This talk will leverage IoMT techniques and describe general issues of human-centric problems, which emphasizes on design process and architecture model for problem solving and application service. Two case studies, considering pervasive rehabilitation monitoring for chronic obstructive pulmonary disease and smart carryable drip frame with automatic balancing, will be presented to demonstrate the conceptual design principles and system operation procedures.

Prof. Takayuki Ito

Dr. Takayuki ITO is Professor of Kyoto University. He received the Doctor of Engineering from the Nagoya Institute of Technology in 2000. He was a JSPS research fellow, an associate professor of JAIST, and a visiting scholar at USC/ISI, Harvard University, and MIT twice. He was a board member of IFAAMAS, the PC-chair of AAMAS2013, PRIMA2009, General-Chair of PRIMA2014, IEEE ICA2016, is the Local Arrangements Chair of IJCAI2020, and was a SPC/PC member in many top-level conferences (IJCAI, AAMAS, ECAI, AAAI, etc). He received the JSAI Achievement Award, the JSPS Prize, the Fundamental Research Award of JSSST, the Prize for Science and Technology of the Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science, and Technology (MEXT), the Young Scientists' Prize of the Commendation for Science and Technology by the MEXT, the Nagao Special Research Award of IPSJ, the Best Paper Award of AAMAS2006, the 2005 Best Paper Award of JSSST, and the Super Creator Award of 2004 IPA Exploratory Software Creation Project. He was a JST PREST Researcher, and a principal investigator of the Japan Cabinet Funding Program for Next Generation World-Leading Researchers. He is currently principal investigator of JST CREST project.

Title: Agent that Facilitates Crowd Discussion

Abstract: Online discussion among civilian is important and essential for next-generation democracy. Providing good support is critical for establishing and maintaining coherent discussions. Large-scale online discussion platforms are receiving great attention as potential next-generation methods for smart democratic citizen platforms. Such platforms require support functions that can efficiently achieve a consensus, reasonably integrate ideas, and discourage flaming. Researchers are developing several crowd-scale discussion platforms and conducting social experiments with a local government. One of these studies employed human facilitators in order to achieve good discussion. However, they clarified the critical problem faced by human facilitators caused by the difficulty of facilitating large-scale online discussions. In this work, we propose an automated facilitation agent to manage crowd-scale online discussions. An automated facilitator agent extracts the discussion structure from the texts posted in discussions by people. In this paper, we present our current implementation of D-agree, a crowd-scale discussion support system based on an automated facilitation agent, which extracts discussion structures from text discussions, analyzes them, and posts facilitation messages. We conducted a large-scale social experiment with Nagoya City’s local government. The results present that our automated facilitation agents succeeded to gather more opinions from people. Also, we found that people satisfactions on both discussions by automated facilitation agents and discussions by human facilitators were almost same score. Our main contribution is that this is one of the earliest real trials, in which an automated agent facilitated discussion among people in the real society.

Invited Speaker

Prof. Moe Pwint

Moe Pwint was born in Yangon, Myanmar. She received B.Sc. (Honours) degree in Physics from the University of Yangon in 1992. She received M.Sc. degree in Computer Science from University of Computer Studies, Yangon (formerly Institute of Computer Science and Technology) in 1996. She obtained Ph.D. degree from Nanyang Technological University, Singapore in 2006. Currently she is the rector of the University of Computer Studies, Mandalay.

2020 Speakers

Prof. Yang Xiao

Prof. JongWon Kim

Dr. JongWon Kim received Ph.D. degree in Control and Instrumentation Engineering from Seoul National University, Seoul, Korea, in 1994. In 1994-1999, he was with the Department of Electronics Engineering at the KongJu National University, KongJu, Korea, as an Assistant Professor. From 1997 to 2001, he was visiting the Signal & Image Processing Institute (SIPI) of Electrical Engineering - Systems Department at the University of Southern California, Los Angeles, USA, where he has served as a Research Assistant Professor since Dec. 1998. From Sept. 2001, he has joined Gwangju Institute of Science & Technology (GIST), Gwangju, Korea, where he is now working as a Professor and directing GIST SCENT (Super Computing cENTer). Also, with Networked Computing Systems Lab. (renamed from Networked Media Lab.) established in Sept. 2001, he has been researching networked system topics under the slogan of “Dynamic & resource-aware composition of media-centric services employing programmable/virtualized resources”. His recent research interests cover diverse topics such as software-defined networking (SDN) and cloud computing for Future Internet testbed and smart media-centric services employing heterogeneous nodes. Around these topics, he has co-authored more than 300 technical publications in academic journals and conferences. Dr. Kim is the senior member of IEEE, and the members of ACM, SPIE, KICS, IEEK, KIISE, and KIPS. He has been serving as the editorial board member of Elsevier JVIS, Elsevier ICT Express, KIISE, KIPS, and HCI-Korea Journals. He has served as various committee members (Conference/WS co-chairs, TPC co-chairs and members) of international and domestic conferences/workshops of IEEE, ACM, SPIE, and others. Also, he has/had been involved with several domestic and international working group activities based on the global R&E networks, including Technology Area director, HDTV WG chair, and Cloud WG chair of APAN (Asia-Pacific Advance Network), Chair (from Jan. 2019) and Testbed WG chair of FIF (Future Internet Forum in Korea), and Steering Group member of AsiaFI (Asia Future Internet).

Prof. Jiro Katto

Jiro Katto received the B.E., M.E., and Ph.D. degrees from the University of Tokyo in 1987, 1989, and 1992, respectively. He then worked for NEC Corporation from 1992 to 1999. From 1996 to 1997, he was a visiting scholar of Princeton University. He then joined Waseda University in 1999 in 1999 as an associate professor. Since 2004, he has been a professor of the Department of Computer Science, Waseda University. From 2004 to 2008, he had been also a director of the Electronic and Information Technology Development Department, New Energy and Industrial Technology Development Organization (NEDO). His research interest lies in the field of multimedia signal processing and multimedia communication systems. He is a fellow of IEICE and ITE, and is a member of IEEE and ACM.

Invited Speakers

Prof. Haruki Kawanaka

Haruki Kawanaka received Ph.D in Engineering from Nagoya Institute of Technology - Japan in 2005. He joined the Graduate School of Information Science and Technology, Aichi Prefectural University as a research associate in 2005, an assistant professor in 2007, a lecturer in 2012, then he currently works as an associate professor in 2007. In the meanwhile, he has been a researcher of the Information Science and Technology Collaborative Research Institute, and the Cultural Symbiosis Research Institute in Aichi prefectural University since 2008. His research interests include Computer Vision and Pattern Recognition. He has been collaborating with many companies on joint research e.g. LIXIL, DENSO, Yazaki Energy Systems Inc.. Recent major achievements include urine volume estimation and defecation property classification in toilets, cuffless blood pressure estimation from photoplethysmography, driver drowsiness estimation from drive recorder, etc. There is applied research such as learning. There are applied researches such as machine learning to estimate human states from various signals and data. He achieved the KES 2008 Best Paper Award. He is various association memberships, e.g. IEEE EMBS, The Institute of Electronics, Information and Communication Engineering (IEICE), Information Processing Society of Japan, Japanese Society for Medical and Biological Engineering. And he is a member of Aichi ITS Council, and a collaborative member of the Advanced Mobility Research Center in Institute of Industrial Science, The University of Tokyo.

Prof. Zhi Zheng

Zhi Zheng received the M.S. and Ph.D. degrees in electronic engineering and information & communication engineering from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2007 and 2011, respectively. From 2014 to 2015, he was an Academic Visitor with the Department of Electrical and Electronic Engineering, Imperial College London, U.K. Since 2011, he has been with the School of Information and Communication Engineering, UESTC, where he is currently an Associate Professor. His research interests lie in the areas of statistical and array signal processing, including direction finding, source localization, target tracking, sparse array design, robust adaptive beamforming, jammer suppression, compressive sensing, machine learning, and convex optimization, with applications to radar, sonar, navigation, wireless communications, wireless sensor networks, etc.

Prof. Tomio Goto

Tomio Goto received his B.S., M.S., and Ph.D. degrees in Computer Science and Engineering from Nagoya Institute of Technology, Japan, in 1997, 1999, and 2007, respectively. He was an assistant professor with the Department of Computer Science and Engineering, Nagoya Institute of Technology, Japan. He is currently an associate professor with the Department of Computer Science, Nagoya Institute of Technology. He was a visiting fellow at University of California, San Diego (UCSD) in 2010, and a visiting professor at University of Wollongong (UOW) from 2018 to 2019. His research interests include coding of images, non-linear filtering, noise reduction, and super-resolution, as well as most other applications of digital image processing. He is a senior member of the IEEE.