Name: Prof. Junzhi Yu
Affiliation: Peking University, China
Biography: Junzhi Yu (Fellow, IEEE) received the BE degree in safety engineering and the ME degree in precision instruments and mechanology from the North University of China, Taiyuan, China, in 1998 and 2001, respectively, and the PhD degree in control theory and control engineering from the Institute of Automation, Chinese Academy of Sciences, Beijing, China, in 2003. From 2004 to 2006, he was a postdoctoral research fellow with the Center for Systems and Control, Peking University, Beijing. In 2006, he was an associate professor with the Institute of Automation, Chinese Academy of Sciences, where he became a full professor in 2012. In 2018, he joined the College of Engineering, Peking University, as a tenured full professor. His research interests include intelligent robots, motion control, and intelligent mechatronic systems.
Name: Prof. Geoff Holmes
Affiliation: University of Waikato, New Zealand
Biography: Professor Geoff Holmes has been a major contributor to the University of Waikato’s machine learning project which has had a far-reaching influence on developments in the field worldwide, principally through the open-source Weka software, one of the most widely used machine learning tools in the world today (Weka software has been downloaded 16.8 million times since it was first hosted at the Sourceforge website for open-source software in April 2000).
Professor Holmes has led the applied machine learning subgroup at the University for the past 20 years. This group has expertise in the deployment of machine learning solutions in practice and has developed a bespoke platform for this purpose (see https://adams.cms.waikato.ac.nz/). He has attracted major government and industry funding totaling several million dollars.
Professor Holmes has also been responsible for the development of a platform for processing very large (possibly infinite) datasets called MOA (Massive Online Analysis) see http://moa.cms.waikato.ac.nz/.
Aside from software contributions, Professor Holmes has made contributions to the major conferences in machine learning, data mining and deep learning (over 150 academic publications). He is currently working on a deep learning platform that enables data-owners to build models without the need for programming expertise or access to significant computing resources.
Professor Holmes has conducted several projects using machine and deep learning in the field of agricultural robotics. This includes yield estimation, plant pollination, disease identification and pruning vines.
Name: Prof. Jing Zhou
Affiliation: Zhejiang University, China
Biography: Jing Zhou is a Professor and PhD supervisor at Zhejiang University. She serves as the Deputy Director of the Zhejiang Provincial Collaborative Innovation Center for Intelligent Ocean Technology and is a member of the Marine Technology Equipment Committee of the Chinese Society for Oceanography. Her research focuses on new concept underwater robots and their key technologies. She has led several projects, including the Original Exploration Project of the National Natural Science Foundation of China (a 3-year project) and the Zhejiang Provincial Outstanding Youth Fund. Additionally, she serves as the Deputy Chief Engineer of a key project in the Innovation Zone of the Central Military Commission Science and Technology Commission. She has published over 60 papers in prestigious journals such as Nature sub-journals and Engineering, with several of her research papers selected as ESI highly cited papers. She holds 13 invention patents in China and the United States. Her achievements have been recognized with several awards, including the Second Prize of Science and Technology Progress from the China Power Supply Society, the Third Prize of Science and Technology Progress of Zhejiang Province, and the Best Paper Award at an international conference.
Name: Prof. Xingang Zhao
Affiliation: Shenyang Institute of Automation, State Key Laboratory of Robotics, Chinese Academy of Sciences, Shenyang, China
Biography: Dr. Xingang Zhao is a Distinguished Research Fellow and doctoral supervisor at the Shenyang Institute of Automation, Chinese Academy of Sciences (SIACAS), serving on the Academic Committee of the SIACAS. He directs both the Robotics Laboratory, SIACAS and the Liaoning Provincial Key Laboratory of Tri-Co Robots and Medical Equipment. Recognized as an Outstanding Member of the Youth Innovation Promotion Association CAS and Regional Development Young Scholar CAS, he is also a recipient of the Liaoning Revitalization Talents Program. His research focuses on medical rehabilitation robots, assistive robotics, and human-robot interaction. With over 200 publications and 40+ patent applications, he has led 20+ projects including China's National Key R&D Program and NSFC grants. As first contributor, he received the First Prize for Technological Invention from the Chinese Association of Automation and the First Prize for Natural Science Academic Achievements in Liaoning Province.
Name: TBA
Affiliation: TBA
Biography: TBA