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- Keynote Speech I
- Brain Growing Even beyond the Age of 50
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- M.D., Ph.D. Toshinori Kato
- KatoBrain Co. Ltd., Tokyo, Japan
- Our brain continues to grow throughout our lifetime. Of course, our brain is immature at birth, but it will still be an immature organ even at the age of 100. About 50 years ago in 1963, the number of centenarians in Japan was 153. In the recent figures, according to a statistical survey in 2017, it has now increased to over 67,000. This means that the number of centenarians has increased more than 400 times in this 50-year. However, even though our life span has expanded, we were not taught or studied of the way to grow our brains for our 100-year life span. The possibility of our life is in our brain. The way to grow our brain is not just to study at school. In my lecture, I will talk about a brain training method that the brain grows day by day even if it is over 80 years old. Brain cells certainly decrease every day starting from 1 year old. However, there are so many immature brain cells that cannot be fully utilized even after a lifetime. The immature cells in our brain grow and it increases the density of brain network, by accumulating our life experience, which leads to changing the shape of our brain.
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Toshinori Kato is the CEO of the KatoBrain Co. Ltd., Director of Kato Platinum Clinic, and Visiting Professor of School of Medicine, Showa University, Tokyo, Japan. He is a medical doctor from 1987 and has received the Ph.D. degree from School of Medicine, Showa University, Tokyo, Japan in 1993. He is an expert on human brain development science using MRI and fNIRS.
At the age of 14, inspired by athletic training, he realized the important role of the brain, and determined to go to a medical school. In 1991 at the National Center of Neurology and Psychiatry in Japan, he discovered a principle to visualize brain functions by lighting from the scalp – photon using near-infrared spectroscopy (fNIRS). fNIRS is currently used for brain research at more than 700 facilities in the world. In 2013, his team succeeded in measuring the brain functions of the driver driving on the expressway in real time.
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From 1995 to 2001, he conducted a research on brain function and dementia using MRI at the Center for Magnetic Resonance Research, Department of Radiology, Medical School, University of Minnesota. In 2006, he founded KatoBrain Co., Ltd. He has developed the MRI technology to detect brain personality and a brain training system that matches the personalities.
In the academic field, he has more than 10 patents, over 100 papers, and more than 150 conference papers that have been published. He also published more than 60 books related to the brain as a writer. “Brain Enhancement Book” (ASA Publishing) published in 2010 has become a best seller exceeding 250,000 copies, and also been translated in China, Korea, Taiwan, Thailand, Indonesia, and so on. In 2017, the brain training system he developed was released as “Pepper Brain” by SoftBank Group Corp.
- Keynote Speech II
- Cloud Control Systems
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- Professor Yuanqing Xia
- School of Automation
- Key Laboratory of Intelligent Control and Decision of Complex Systems
- Beijing Institute of Technology, China
- With the rapid development of computing, control, communication and network technology, the industrial Internet has greatly expanded the mode and scale of interconnection, intercommunication and control among the objects of industrial systems. The fusion of clouds brings about a new model of industrial cooperation, which will comprehensively improve the level and efficiency of industrial production and become an enabling technology of new industrial revolution in the world. However, the immensity and complexity of the object system generated by this fusion put forward the challenges to traditional control theory. The current industrial closed-loop control is still concentrated in the industrial terminal. The industrial production scene in a form of “cloud-terminal” needs a closed-loop control from cloud site. However, the current techniques still cannot meet the real-time control requirement in this scene. The trend is to study the cloud control methods and technology. In this presentation, some basic concepts, theories and methods of cloud control systems will be given.
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Prof. Xia graduated from the Department of Mathematics, Chuzhou University, Chuzhou, China, in 1991. He received his M.S. degree in Fundamental Mathematics from Anhui University, China, in 1998 and his Ph.D. degree in Control Theory and Control Engineering from Beijing University of Aeronautics and Astronautics, Beijing, China, in 2001. From 1991 to 1995, he was with Tongcheng Middle-School, Anhui, China, where he worked as a teacher. During January 2002 to November 2003, he was a Postdoctoral Research Associate in the Institute of Systems Science, Academy of Mathematics and System Sciences, Chinese Academy of Sciences, Beijing, China, where he worked on navigation, guidance and control. From November 2003 to February 2004, he was with the National University of Singapore as a Research Fellow, where he worked on variable structure control. From February 2004 to February 2006, he was with the University of Glamorgan, Pontypridd, U.K., as a Research Fellow, where he worked on networked control systems. From February 2007 to June 2008, he
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was a Guest Professor with Innsbruck Medical University, Innsbruck, Austria, where he worked on biomedical signal processing. Since July 2004, he has been with the School of Automation, Beijing Institute of Technology, Beijing, first as an Associate Professor, then, since 2008, as a Professor. And in 2012, he was appointed as Xu Teli Distinguished Professor at the Beijing Institute of Technology, then in 2016, as Chair Professor. In 2012, he obtained the National Science Foundation for Distinguished Young Scholars of China, and in 2016, he was honored as the Yangtze River Scholar Distinguished Professor and was supported by National High Level Talents Special Support Plan (“Million People Plan”) by the Organization Department of the CPC Central Committee. In 2017, he was approved to enjoy the special government allowances of the State Council. He is now the dean of School of Automation, Beijing Institute of Technology.
His current research interests are in the fields of networked control systems, robust control a-
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nd signal processing, active disturbance rejection control and flight control. He has published eight monographs in Springer and John Wiley, and more than 200 papers in journals. He is an Editor in deputy of the Journal of the Beijing Institute of Technology, Associate Editor of Acta Automatica Sinica, Control Theory and Applications, International Journal of Innovative Computing, Information and Control, International Journal of Automation and Computing. He is currently the director of specialized committee on cloud control and decision of Chinese Institute of Command and Control (CICC), the vice chairman of China Internet of Things Working Committee, the director of the ninth Council of the Systems Engineering Society of China, and the director of the first Council of CICC. He obtained the Second Award of the Beijing Municipal Science and Technology (No. 1) in 2010 and 2015, the Second National Award for Science and Technology (No. 2) in 2011, and the Second Natural Science Award of The Ministry of Education (No. 1) in 2012 and 2017.
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