Prof. Toshio Fukuda
(IEEE, SICE, JSME, RSJ, and VRSJ Fellow)
Nagoya University / Meijo University, Japan / Beijing Institute of Technology (BIT), China
graduated from Waseda University, Tokyo, Japan in 1971 and received
the Master of Engineering degree and the Doctor of Engineering
degree both from the University of Tokyo, in 1973 and 1977,
respectively. He studied at Graduate School of Yale University in
1973-1975. He joined the National Mechanical Engineering Laboratory
in Japan in 1977, the Science University of Tokyo in 1982, and then
joined Department of Mechanical Engineering, Nagoya University,
Japan in 1989. He worked at University of Stuttgart, as Humboldt
Fellow in 1979-1981.
He is Professor Emeritus of Nagoya University. Department of Micro and Nano-Systems Engineering and Professor of Meijo University as well as Beijing Institute of Technology.
He is mainly engaging in the research fields of intelligent robotic system, micro and nano robotics, bio-robotic system, and technical diagnosis and error recovery system.
He was the President of IEEE Robotics and Automation Society (1998-1999), Director of the IEEE Division X, Systems and Control (2001-2002), the Founding President of IEEE Nanotechnology Council (2002-2005), Region 10 Director (2013-2014) and Director of Division X, Systems and Control (2017-2018). He was Editor-in-Chief of IEEE/ASME Trans. Mechatronics (2000-2002).
He was the Founding General Chair of IEEE International Conference on Intelligent Robots and Systems (IROS) held in Tokyo (1988). He was Founding Chair of the IEEE Workshop on Advanced Robotics Technology and Social Impacts (ARSO, 2005), Founding Chair of the IEEE Workshop on System Integration International (SII, 2008), Founding Chair of the International Symposium on Micro-Nano Mechatronics and Human Science (MHS, 1990-2012).
He has received many awards such as IEEE Eugene Mittelmann Achievement Award (1997), IEEE Third Millennium Medal (2000) , Humboldt Research Prize (2003), IEEE Robotics and Automation Pioneer Award (2004), IEEE Transaction Automation Science and Engineering Googol Best New Application Paper Award (2007), George Saridis Leadership Award in Robotics and Automation (2009), IEEE Robotics and Automation Technical Field Award (2010). He received the IROS Harashima Award for Innovative Technologies (2011), Friendship Award of Liaoning Province PR China (2012), Friendship Award from Chinese Government (2014), JSME Achievement Award (2015), IROS Distinguished Service Award (2015) and Honor of Medal with the Purple Ribbon from Japanese Government (2015). Award from Automation Foundation (2016).
IEEE Fellow (1995). SICE Fellow (1995). JSME Fellow (2002), RSJ Fellow (2004), VRSJ Fellow (2011) and member of Science Council of Japan (2008-2014 ), Academy of Engineering of Japan (2013-), and Foreign member of Chinese Academy of Science (2017).
Speech Title: Mutli-Scale Robotic System--From large scale cellular robot to small scale robots
Abstract--This lecture is an overview of the Multi-scale robotics, based on the Cellular Robotics System, which is the basic concept of the emergence of intelligence in the multi-scale way from Cell Level to the Organizational Level, proposed more than 30 years ago. It consists of many elements how the system can be structured from the individual to the group/society levels in analogy with the biological system. It covers with the wide range of challenging topics. Then I mainly focus on medical robots and bio cell manipulation and cell assembly and refer to applied areas for the future hybrid cyborg and bionic system to improve the quality of life of human.
Prof. Guu-Chang Yang (IEEE Fellow)
National Chung Hsing University, Taiwan
Guu-Chang Yang (S’88–M’92–SM’05–F’12)
received the B.S. degree from the National Taiwan University,
Taipei, Taiwan, in 1985, and the M.S. and Ph.D. degrees from the
University of Maryland, College Park, MD, in 1989 and 1992,
respectively, all in electrical engineering.
From 1988 to 1992, he was a Research Assistant in the System Research Center, University of Maryland. In 1992, he joined the faculty of the National Chung Hsing University, Taichung, Taiwan, where he is currently a Chair Professor with the Department of Electrical Engineering and the Graduate Institute of Communication Engineering. He was the Chairman of the Department of Electrical Engineering from 2001 to 2004. He co-authored the first-of-its-kind technical book on optical coding theory and its applications to code-division multiple access (CDMA), Prime Codes with Applications to CDMA Optical and Wireless Networks (Norwood, MA: Artech House), in 2002. He contributed one chapter on optical codes to another technical book, Optical Code Division Multiple Access: Fundamentals and Applications (Boca Raton, FL: Taylor & Francis), in 2006. In 2013, he coauthored a classical reference book, Optical Coding Theory with Prime (NY: CRC Press). His research interests include wireless and optical communication systems, modulation and signal processing techniques, and applications of CDMA.
Dr. Yang received the Distinguished Research Award from the National Science Council in 2004 and 2014, and the Outstanding Young Electrical Engineer Award and the Distinguished Electrical Engineering Professor Award from the Chinese Institute of Electrical Engineering in 2003 and 2012, respectively. He also received the Best Teaching Award from the Department of Electrical Engineering, National Chung Hsing University from 2001 to 2004 and in 2008. He served as the Chairman of the IEEE Communications Society (Taipei Chapter) from 2013 to 2014, the Vice Chairman of the IEEE Communications Society (Taipei Chapter) from 2011 to 2012, the Chairman of the IEEE Information Theory Society (Taipei Chapter) from 2003 to 2005, and the Vice Chairman of the IEEE Information Theory Society (Taipei Chapter) from 1999 to 2000. He also served as the Area Coordinator of the Ministry of Science and Technology’s Telecommunications Program in 2014, the Area Coordinator of the National Science Council’s Telecommunications Program from 2012 to 2013, and the Co-Coordinator of the National Science Council’s National Networked Communication Program from 2010 to 2014. He became an IEEE Fellow in 2012 for contributions to optical CDMA. He is currently an Associate Editor of the IEEE TRANSACTIONS ON COMMUNICATIONS, and serves as the Co-Coordinator of the Ministry of Science and Technology’s Development and Applications of Advanced Communications Networking Technologies Program from 2014 to 2018 and Coordinator of the Ministry of Education’s A Talent Cultivation Program for 5G Mobile Broadband Technology from 2018 to 2021.
Speech Title: Malicious Meter
Detection in Smart Grids
Abstract--In smart grids, smart meters may potentially be attacked or compromised to cause certain security risks. It is challenging to identify malicious meters when there are a large number of users. In this talk, we explore the malicious meter inspection (MMI) problem in neighborhood area smart grids. We propose a suite of inspection algorithms in a progressive manner. First, we present a basic scanning method, which takes linear time to accomplish inspection. The scanning method is efficient when the malicious meter ratio is high. Then, we propose a binary-tree-based inspection algorithm, which performs better than scanning when the malicious meter ratio is low. Then, we employ an adaptive-tree-based algorithm, which leverages advantages of both the scanning and binary-tree inspections. Our approaches are tailored to fit both static and dynamic situations. The theoretical and experimental results have shown the effectiveness of the adaptive tree approach.
Furthermore, we propose three novel detectors to detect Non-Technical Loss (NTL) frauds in Smart Grid. These detectors model an adversary's behavior and detect NTL frauds based on several numerical analysis methods which are lightweight and non-traditional. The first detector is named NTL Fraud Detection (NFD) which is based on Lagrange polynomial. NFD can detect a single tampered meter as well as multiple tampered meters in a group. The second detector is based on Recursive Least Square (RLS), which is named Fast NTL Fraud Detection (FNFD). FNFD is proposed to improve the detection speed of NFD. Colluded NTL Fraud Detection (CNFD) is the third detector that we propose to detect colluded NTL frauds. We have also studied the parameter selection and performance of these detectors.
Asst. Prof. Dr. Jaeryoung Lee
Chubu University, Japan
Jaeryoung Lee received her B.S. in Mechanical Engineering from Pusan National University, Korea in 2009 and her M.S. and Ph.D in Mechanical Engineering from the Nagoya University, Japan in 2012, 2014. She is currently an assistant professor of the department of Robotic Science and Technology in Chubu University, Japan. Her research interests are in robot-assisted therapy, rehabilitation robotics, and human machine interaction, social and affective robots, and Ambient assisted living. She is currently the PI of MEXT project regarding robots for autism, and a partner in EU & MIC project Culture Aware Robots and Environmental Sensor Systems for Elderly Support, and so on.
Speech Title: Social and
Affective Robot for Healthcare
Abstract--Robots are expected to elicit more active communication and provide life support for humans. Social robots have found a number of applications in many aspects of our daily life, including elderly care and therapeutic purposes (e.g. therapy for children with autism). The critical role of robots here is to interact with and assist humans in their every-day activities. Considering a wide variety of users, the robots should be also capable of deciding what kind of services and interactions they perform. The accurate and autonomous evaluation is needed through the technology, especially if the users are people with special needs. For this “user-centered” human-robot interaction, this requires that the social robots can learn the user’s states and be able to respond to it accordingly. The main topic of this talk is her current work, including CARESSES project (http://caressesrobot.org/en/), regarding the social robots for healthcare.