Keynote Speakers

Prof. Makoto IWASAKI (IEEE Fellow, IEEJ Fellow)

Nagoya Institute of Technology, Japan

Biography: Makoto Iwasaki received the B.S., M.S., and Dr. Eng. degrees in electrical and computer engineering from Nagoya Institute of Technology, Nagoya, Japan, in 1986, 1988, and 1991, respectively. He is currently a Professor at the Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology. As professional contributions of the IEEE, he has participated in various organizing services, such as, a Co-Editors-in-Chief for IEEE Transactions on Industrial Electronics since 2016, a Vice President for Planning and Development in term of 2018 to 2021, etc. He is IEEE fellow class 2015 for "contributions to fast and precise positioning in motion controller design".
He has received many academic, foundation, and government awards, like the Best Paper and Technical Awards of IEE Japan, the Nagamori Award, the Ichimura Prize, and the Commendation for Science and Technology by the Japanese Minister of Education, respectively. He is also a fellow of IEE Japan, and a member of Science Council of Japan.
His current research interests are the applications of control theories to linear/nonlinear modeling and precision positioning, through various collaborative research activities with industries.

Prof. Mingcong Deng, Tokyo University of Agriculture and Technology, Japan

Biography: Prof. Mingcong Deng received his BS and MS in Automatic Control from Northeastern University, China, and PhD in Systems Science from Kumamoto University, Japan, in 1997. He was with Kumamoto University; University of Exeter, UK; NTT Communication Science Laboratories; Okayama University. Now, he is with Tokyo University of Agriculture and Technology, Japan, as a professor. Prof. Deng specializes in three complementary areas: Operator based nonlinear fault detection and fault tolerant control system design; System design on human factor based robot control; Learning based nonlinear adaptive control. Prof. Deng has over 550 publications including 195 journal papers, in peer reviewed journals including IEEE Transactions, IEEE Press and other top tier outlets. Prof. Deng is a co-chair of agricultural robotics and automation technical committee, IEEE Robotics and Automation Society; also a chair of the environmental sensing, networking, and decision making technical committee, IEEE SMC Society. He was the recipient of 2014 & 2019 Meritorious Services Award of IEEE SMC Society, 2020 IEEE RAS Most Active Technical Committee Award (IEEE RAS Society). He is a member of The Engineering Academy of Japan

Prof. Liangjing Yang, Zhejiang University-University of Illinois at Urbana-Champaign (ZJUI) Institute, China

Biography: Liangjing Yang is an assistant professor in Zhejiang University-University of Illinois at Urbana-Champaign (ZJUI) Institute, Zhejiang University (ZJU) where he is appointed as the Vice Director of Research Division for Data and Information Sciences. He is also the principal investigator leading the Intelligent Robot, Vision & Control research group (IRVC) in ZJUI. The group’s research vision is to advance the science and technology of robotics in a human-centric fashion with an emphasis in intuitive and interactive man-machine interface, especially in the biomedical and healthcare domains.
Liangjing Yang received the B.Eng. and M.Eng. degrees in mechanical engineering from the National University of Singapore (NUS). He obtained the D.Eng. degree from the University of Tokyo (UTokyo) before receiving a joint postdoctoral fellowship to work at the Singapore University of Technology and Design (SUTD), and Massachusetts Institute of Technology (MIT). His work on image mapping for 3D ultrasound-guided endoscopic procedures is featured in both engineering and medical journals. He also developed a robotic system for overlapping ablation of large liver tumor, which is published in a special issue on “Surgical and Interventional Medical Devices” of ASME/IEEE Transactions on Mechatronics. He holds two US patents one on a Robotic Surgical Training System, which was named “Best Innovation in Biomedical Application” in a challenge organized by National Instruments.