ICMEAS 2024 Speakers
Prof. Jianrong Tan Academician of CAE Member |
Title of the speech: TBA Abstract: TBA Brief Bio: Prof. Tan Jianrong is an expert in mechanical engineering, academician of the Chinese Academy of Engineering, vice president of the Chinese Mechanical Engineering Society, vice president of the China Graphics Society, also a distinguished professor and doctoral supervisor of the "Qiushi Scholar" of Zhejiang University, and director of the Department of Mechanical Engineering; deputy director of the Academic Committee of the State Key Laboratory of Fluid Power & Mechatronic Systems of Zhejiang University; director of the Institute of Engineering and Computer Graphics of Zhejiang University. Academician Tan was born in October 1954 in Huzhou, Zhejiang Province. He holds a master's degree in engineering and a doctorate in science. He is mainly engaged in research on mechanical design and digital manufacturing. Academician Tan proposed the design technology of mass customization combining batch and customization, the simulation technology of engineering transition state, fuzzy state, random state modeling, and digital prototype integration, and the analysis technology of complex equipment multi-component association, multi-level configuration, and multi-parameter matching combining numerical and geometric. He won 4 national awards, including 2-second prizes in the National Science and Technology Progress Award, 1 first prize and 1-second prize in the National Excellent Teaching Achievement Award, and 6 first prizes in provincial and ministerial science and technology progress awards; he solidified the proposed technology in software, developed and obtained 12 computer software copyrights, and successfully applied them in some manufacturing enterprises; he published 8 monographs or edited 142 papers indexed by SCI/EI. In 2007, Academician Tan was elected as an academician of the Chinese Academy of Engineering, and his department is the Department of Mechanical and Transportation Engineering. Research direction: mainly engaged in mechanical design and theory, computer-aided design and graphics, digital design, and manufacturing. Director of the Department of Mechanical Engineering and Automation of Zhejiang University, mainly engaged in mechanical design and digital manufacturing research.
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Prof. Guofa Wang Academician of CAE Member |
Title of the speech: TBA Abstract: TBA Brief Bio: Researcher Wang Guofa, an academician of the Chinese Academy of Engineering and an expert in coal mining technology and equipment. He is currently the chief scientist of CCTEG China Coal Research Institute, a national model worker, and an outstanding engineer. He has presided over and participated in the completion of more than 60 national 973, national 863, national science and technology support plans, National Natural Science Foundation, and provincial and ministerial projects. He has won 1 first prize in the National Science and Technology Progress Award, 4 second prizes in the National Science and Technology Progress Award, and more than 30 provincial and ministerial science and technology awards. Wang Guofa has long been engaged in the research of coal-efficient comprehensive mining theory, technology, and equipment systems.
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Prof. Dan Zhang Hong Kong Polytechnic University, HKSAR,China Fellow of Canadian Academy of Engineering, ASME Fellow |
Title of the speech: Innovation Design and Applications of Robotic Manipulators in Intelligent Manufacturing System Abstract: Due to the potential high rigidity, high accuracy, and high loading capacities of parallel manipulators, research and development of various parallel mechanism applications in engineering are now being performed more and more actively in every industrial field, and it is considered a key technology of robot applications in industry in the future. However, the parallel manipulators haven’t widely been adopted by industry due to the limitations of their existing performance capabilities, including (1) the small orientation workspaces; (2) the singular configurations in kinematic chains; (3) the change of the overall stiffness. In this presentation, the rational of using parallel robots for parallel robotic machines will be discussed and explained. A comparative study will be carried out on some successful parallel robotic machines and conventional machine tools. The research activities on parallel manipulator and its innovative design in the Laboratory of Advanced Robotics and Mechatronics at York University will be introduced, they are: Innovation Design for Parallel Robots; Performance Improvement of Parallel Robots by Structure Construction; Reconfigurable Robotic Systems; and the applications of parallel manipulators. The new design methodologies and technologies for next-generation high performance Generalized Parallel Manipulators (GPMs) will be introduced. These new GPMs will effectively overcome the limitations of conventional parallel manipulators and be used for manufacturing applications including high precision assembly, fast product handling, milling and surface finishing as well as applications in other industries. This will enable technology transfer of these techniques to industry applications by focusing on the critical technology gaps and rigorous experiments. Brief Bio: Professor Dan Zhang is a Chair Professor of Intelligent Robotics and Automation, and Director of PolyU-Nanjing Technology and Innovation Research Institute, Director of Consortium for Intelligent Robotics Research at the Hong Kong Polytechnic University. He received his PhD in Mechanical Engineering from Laval University, Canada in 2000. He joined Ontario Tech University (OTU), Canada, as Assistant Professor in 2004 and was promoted to Associate Professor and Professor in 2006 and 2011 respectively. During the appointment period in OTU, he also served as Founding Chair in the Department of Automotive, Mechanical and Manufacturing Engineering (2012 – 2014) and was awarded the Canada Research Chair in Advanced Robotics and Automation (2009 – 2015). Since 2016, he transferred to York University, Canada as a Kaneff Professor and also took up the role of Department Chair in the Department of Mechanical Engineering from 2016 to 2018. Thereafter, he was awarded the Tier 1 York Research Chair in Advanced Robotics and Mechatronics in 2017. Professor Zhang's research interests include synthesis and optimization of parallel and hybrid mechanisms; generalized parallel mechanisms research; reconfigurable robots; innovation design of parallel robots: parallelization of serial robots; micro/nano manipulation and mems devices (e.g., sensors); rescue robots; smart biomedical instruments (e.g., exoskeleton robots and rehabilitation robotics); AI/robotics/autonomous systems; Aerial and Underwater Robotics; Artificial Intelligence for Robotics; intelligent reconfigurable adaptive landing gear and manipulator (manipulander). Professor Zhang is a well-accomplished educator and an internationally renowned expert in the areas of parallel robotic machines and their applications in manufacturing systems. His influential scientific contributions have led to novel robotic system designs and development of new comprehensive models for better understanding of globe stiffness and robotic calibrations. His research applications have tackled some of the world's most challenging problems in high dynamic performance manufacturing robotic systems. His leadership has resulted in significant contributions to the areas of robotics, mechatronics, reconfigurable/sustainable manufacturing systems and MEMS devices. His accomplishments have been recognized by many honors and awards including Canada Research Chair, Research Excellence Awards, Tier 1 York Research Chair, Lassonde Innovation Awards --- Established Researcher, Early Researcher Award by Ministry of Research and Innovation, Fellow of the Canadian Academy of Engineering (CAE), Fellow of the Engineering Institute of Canada (EIC), Fellow of the American Society of Mechanical Engineers (ASME) and Fellow of the Canadian Society for Mechanical Engineering (CSME). Professor Zhang has published 266 journal papers and 190 conference papers, 12 books, 9 book chapters and numerous other technical publications. Professor Zhang has served as a General Chair for 69 International Conferences and delivered 122 keynote speeches. Professor Zhang is listed as the World’s Top Two Percent Researchers by Stanford’s Standardized Citation Indicators in 2020, 2021, 2022 and 2023. |
Prof. Makoto Iwasaki IEEE Fellow |
Title of the speech: Rolling Friction Model-Based Initial Value Compensation in Fast and Precision Positioning for Industrial Positioning Devices Abstract: Fast-response and high-precision motion control is one of indispensable techniques in a wide variety of high performance mechatronic systems including micro and/or nano scale motion, such as data storage devices, machine tools, manufacturing tools for electronics components, and industrial robots, from the standpoints of high productivity, high quality of products, and total cost reduction. In those applications, the required specifications in the motion performance, e.g. response/settling time, trajectory/settling accuracy, etc., should be sufficiently achieved. In addition, the robustness against disturbances and/or uncertainties, the mechanical vibration suppression, and the adaptation capability against variations in mechanisms should be essential properties to be provided in the performance. The plenary talk presents the fast and precision motion control techniques, where a 2-degrees-of-freedom (2DOF) control framework is especially handled as one of practical and/or promising approaches to improve the motion performance. Actual issues and relevant solutions for each component in the 2DOF control structure are clarified and, then one of examples, a 2DOF controller design for fast and vibration suppression positioning, is presented as an application to industrial high precision positioning devices. In this speech, especially, a practical approach of mathematical modelling and compensation for friction in the precision positioning is discussing for typical industrial manufacturing machines, e.g. laser processing machine, electronic chip placement machine, semiconductor manufacturing machine, e.tc., where a nonlinear stiff characteristic with hysteresis property of friction in the micro-displacement region can be mathematically modeled using a rheology-based rolling friction model. The friction model can be applied to analyze response variations and slow settling responses in positioning and then, an initial value compensation by mode switching control to ensure the required positioning control specifications. Brief Bio: 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 from 2016 to 2022, 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. Bingfeng Ju Zhejiang University, China |
Title of the speech: TBA Abstract: TBA Brief Bio: Bingfeng Ju, Qiushi Distinguished Professor and Doctoral Supervisor of Zhejiang University. He received his Ph.D. in Engineering from Zhejiang University in 1999 and conducted postdoctoral research at Nanyang Technological University in Singapore from 2000 to 2002. From 2002 to 2003, he worked as a Research Scientist at DSO National Laboratories in Singapore. He worked as a Foreign Special Researcher of the Japan Society for the Promotion of Science (JSPS) at Tohoku University in Japan from 2003 to 2005 and as an Assistant Professor at this University from 2005 to 2007. In 2007, he returned to China to work and was promoted to Professor of the School of Mechanical Engineering at Zhejiang University. From 2009 to 2014, he served as Deputy Director of the State Key Laboratory of Fluid Power and Mechatronic Systems. He has published more than 100 papers in international journals indexed by SCI and obtained 16 national invention patents. The main research directions of Prof. Bingfeng Ju are ultra-precision machining technology, micro-nano measurement, and precision mechatronic systems. |
Prof. Guodong Yin Southeast University, China |
Title of the speech: TBA Abstract: TBA Brief Bio: Yin Guodong, Fellow of the China Society of Automotive Engineers, Chief Professor of Southeast University, Distinguished Professor of Jiangsu, Director of the Academic Affairs Office of Southeast University, Professor of the School of Mechanical Engineering, Director of the Intelligent Connected Vehicle Information Security Research Center of the School of Cyberspace Security, and Director of the Jiangsu Intelligent Electric Vehicle Engineering Research Center. He is also a member of the Higher Education Engineering Training and Teaching Steering Committee of the Ministry of Education, a director of the China Society of Automotive Engineers, Vice Chairman of the Vehicle Control and Intelligence Committee of the Chinese Automation Society, Executive Vice Chairman and Secretary-General of the Jiangsu Higher Education Teaching Management Research Association, Vice Chairman of the Jiangsu Intelligent Connected Vehicle Standardization Technical Committee, and Vice Chairman of the Jiangsu Society of Automotive Engineers. He is mainly engaged in research on vehicle dynamics and control, electric vehicles and intelligent connected vehicles, vehicle networking and vehicle-road collaboration, and high-end mechanical equipment. |
Prof. Zhifeng Liu Jilin University, China |
Title of the speech: TBA Abstract: TBA Brief Bio: Prof. Zhifeng Liu, the doctoral supervisor of Jilin University. Distinguished professor of the Major Talent Project of the Ministry of Education, Deputy Director of Key Laboratory of CNC Equipment Reliability, Ministry of Education, director of the Jilin Province Key Laboratory of Advanced Manufacturing and Intelligent Technology for High-end CNC Equipment; Director of the Key Laboratory of Digital Design and Testing of Heavy Machine Tools in the Machinery Industry, deputy secretary-general of the High-end CNC Machine Tool Innovation Alliance; deputy leader of the Ministry of Science and Technology’s High-end CNC Machine Tool Technology Tracking Research Expert Group, core expert of the Machine Tool Special Continuation Development Strategy Research Writing Group/Technical Roadmap, and expert in the supervision and evaluation/mid-term evaluation/acceptance evaluation of the “High-end CNC Machine Tools and Basic Manufacturing Equipment” major science and technology project; deputy director of the Mechanical Industry Automation Branch of the Chinese Society of Mechanical Engineers, and standing member of the Grouping and Intelligent Integration Technology Branch of the Chinese Society of Mechanical Engineers. His main research directions are: (1) High-end CNC machine tools; (2) Intelligent manufacturing; (3) Digital twins; (4) Intelligent robots. |
Prof. Jun Wang Nanjing University of Aeronautics and Astronautics, China |
Title of the speech: TBA Abstract: TBA Brief Bio: Wang Jun is a professor and doctoral supervisor at Nanjing University of Aeronautics and Astronautics, and a recipient of the National Outstanding Youth Fund. He is currently the deputy director of the National Key Laboratory, a member of the expert group of the National Key R&D Program, a member of the National Industrial Foundation Committee, and the chairman of the Jiangsu Intelligent Manufacturing Engineering Society. From 2008 to 2010, he worked as a postdoctoral researcher at the University of California and the University of Wisconsin, respectively; from 2010 to 2013, he worked at Leica Measurement in Silicon Valley, USA, and presided over the research and development of ultra-large-scale lidar measurement technology and equipment. Since returning to China, he has been funded by projects such as Jiangsu Province's Double Innovation Plan Talents, Jiangsu Province's Outstanding Youth, the National Major Talent Project Youth Plan, and the National Outstanding Youth; he won the Fifth National Outstanding Engineer Youth Award and the title of Outstanding Science and Technology Worker in the Machinery Industry. He has been engaged in research in digital detection technology and equipment, intelligent robot technology and equipment, machine vision and intelligent detection technology, machine (deep) learning methods and industrial applications for a long time. He has published more than 100 SCI journal papers in related fields, obtained more than 100 national invention patents and more than 20 US patents, published 2 monographs, and led the formulation of 3 standards. He is also the deputy editor-in-chief of the American Society of Manufacturing Engineers (ASME) Journal of Computing and Information Science in Engineering (SCI-indexed), an editorial board member of the Chinese Journal of Mechanical Engineering, and an editorial board member of the Journal of Computer-Aided Design and Computer Graphics.
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ICMEAS Past Speakers
Prof. Dan Zhang York University, Canada |
Prof. Xinjun Liu Tsinghua University, China |
Prof. Makoto Iwasaki Nagoya Institute of Technology, Japan |
Prof. Ruxu Du South China University of Technology, China |
Prof. Ian McAndrew Capitol Technology University, USA |
Prof. Y. Lawrence Yao Columbia University, USA |
Prof. Harijono Djojodihardjo Universiti Putra Malaysia, Malaysia |
Prof. Valeriy Vyatkin Luleå University of Technology, Sweden |
Prof. Yong Zhao Nazarbayev University, Kazakhstan |
Prof. Jian Huang Huazhong University of Science and Technology, China |
Prof. Mohd Hamdi Bin Abd Shukor University of Malaya, Malaysia |
Prof. Kyle Jiang Haina Power System Research Center of Zhejiang Tsinghua Yangtze River Delta Research Institute, China |
Prof. Peter X. Liu Carleton University, Canada |
Prof. Zhufeng Shao Tsinghua University, China |
Prof. Zengguang Hou Chinese Academy of Sciences, China |
Prof. Dennis Y.C. Leung The University of Hong Kong, HKSAR, China |
Prof. M. Chandrasekaran Vels University, India |
Prof. Alvo Aabloo Institute of Technology,
University of Tartu, Estonia |
Prof. Dmitry Uglanov Samara National Research University, Russia |
Prof. Qiaokang Liang Hunan University, China |
Dr. Tan Zhang Shenzhen Technology University, China |
Dr.Wilhelm Pfleging Karlsruhe Institute of Technology (KIT), Germany |