Plenary Speaker
 | Prof. Toshio FukudaNagoya University, Japan2020 IEEE President, IEEE Life Fellow, Member of the Japan Academy of Engineering, Foreign Member of the Chinese Academy of Sciences BIO: Prof. Toshio Fukuda, born in December 1948 in Tokyo, Japan, is a robotics expert, a Member of the Japan Academy of Engineering, a Foreign Member of the Chinese Academy of Sciences, and a professor at Beijing Institute of Technology. Toshio Fukuda graduated from Waseda University in Japan in 1971, receiving a bachelor's degree; he received a Master of Engineering from the University of Tokyo in 1973; he received a Doctor of Engineering from the University of Tokyo in 1977; he began teaching at Tokyo University of Science in Japan in 1981; he taught in the Department of Mechanical Engineering at Nagoya University in 1989; he became a professor at Beijing Institute of Technology in 2013, and was elected a Member of the Japan Academy of Engineering in the same year; he was elected a Foreign Member of the Chinese Academy of Sciences in 2017; he served as President of the Institute of Electrical and Electronics Engineers (IEEE) in 2020. Toshio Fukuda's research primarily focuses on micro-nano manipulation robots and bionic robots. |
 | Prof. Jianwei ZhangUniversity of Hamburg, GermanyForeign Member of the Chinese Academy of Engineering, Member of the German National Academy of Science and Engineering, life-long Academician of Academy of Sciences in Hamburg Germany BIO: Jianwei Zhang is professor and director of TAMS, Department of Informatics, University of Hamburg, Germany. He received both his Bachelor of Engineering (1986, with distinction) and Master of Engineering (1989) at the Department of Computer Science of Tsinghua University, Beijing, China, his PhD (1994) at the Institute of Real-Time Computer Systems and Robotics, Department of Computer Science, University of Karlsruhe, Germany. Jianwei Zhang is life-long Academician of Academy of Sciences in Hamburg Germany. Jianwei Zhang´s research interests include multimodal informatin processing; cognitive sensor fusion; fast learning algorithms; neuro-fuzzy models for sensory-motor control tasks; reinforcement learning of assembly sequences; natural human-robot interaction; self-valuing learning of robot grasping and in-hand manipulation; multimodal learning architecture; experience-based robot learning; coded structured light for 3D modelling; best view algorithm for active robot vision; bio-inspired multimodal control, modular reconfigurable robots; surgical assistant robots; mobile manipulation service robots, etc. In these areas he has published about 500 journal and conference papers, technical reports and four books. He holds 40+ patents on intelligent components and systems. Jianwei Zhang is the coordinator of the DFG/NSFC Transregional Collaborative Research Centre SFB/TRR169 “Crossmodal Learning: Adaptivity, Prediction and Interaction” and several EU robotics projects, including the RACE (Robustness by Autonomous Competence Enhancement) Project which is the first one applying high-level learning, planning and reasoning AI methods in service robots. He has received multiple best paper awards. He is the General Chairs of IEEE MFI 2012, IEEE/RSJ IROS 2015, and the International Symposium of Human-Centered Robotics and Systems 2018. For the Bachelor courses of Informatics, Jianwei Zhang teaches Computer Structures and Organization Introduction to Robotic, and Embedded Systems. For the Master courses of Informatics, he holds Intelligent Robot Systems, Machine Learning, and Advanced Seminar on Intelligent Multimodal Robot Systems. As a PhD course of Interdisciplinary Research Training, he also teaches Advanced Multimodal Information Processing. |