Keynote Speakers


 


Prof. Shane Xie
University of Leeds, UK
(Fellow of IPENZ)

Biodata: Professor Shane Xie joined the University of Leeds as Chair in Robotics and Autonomous Systems (2017- ). He received his BE in Control Engineering, M.Sc., and Ph.D. in Mechatronics Engineering from Huazhong University of Science and Technology (HUST), China, in 1992, 1995, and 1998, respectively. He was a Research Associate (1998-1999) and a FoRST (Foundation for Research, Science and Technology) Postdoctoral Fellow (1999-2002) at the University of Canterbury and was awarded a second PhD in Mechanical Engineering. He worked in the University of Auckland, New Zealand as Lecturer (2003-2005), Senior Lecturer (2006-2009), Associate Professor (2010-2011) and Chair Professor (2011-2017), in Mechatronics Engineering.

Prof Xie is an elected fellow of IPENZ (Institution of Professional Engineers New Zealand), a Strategic Scientist of Wuhan University of Technology and a Chutian Scholar of Huazhong University of Science and Technology in China. He was the David Bensted Fellow, Simon Fraser University, Canada. He played a leadership role in the establishment of the Mechatronics Engineering programme and was the Director of a Master of Engineering Programme on Medical devices and Technologies (2010-2017) at the University of Auckland. This programme was funded by TEC ($1.8M) to support innovation in medical technology, and was collaborated between the Faculties of Engineering and Medical and Health Sciences, as well as the Medical Technology Association of New Zealand. The programme provided 15~30 Masters each year with multidisciplinary knowledge and skills required to underpin successful innovation in the medical devices industry, filling the large demand for these skills in NZ medical device industry.

Prof Xie led many government funded research projects as Principal Investigator and so far has completed over 50 funded research projects totalling over $15M of research contracts from government granting agencies and industries in New Zealand and overseas. The projects he led have been closely engaged with local industries and overseas. For example, the project “Enabling Technology for Rapid Development of High Value-added Customised Products” , funded by FoRST, contributed to three leading NZ companies including Rakon Ltd, Compac Sorting Equipment Ltd and Gallagher Ltd. Another project “Novel Enabling Technology for Wearable Assistive Devices” funded by FoRST was selected as the key international collaborative project between New Zealand and China. He also led 5 overseas projects totalling over $5M, funded by the National Natural Science Foundation of China and the Federal Ministry of Education and Research of Germany. He has also actively contributed to other large government funded projects over $30M in both New Zealand and overseas. One project he involved as an Associated Investigator was supported by The Medical Technologies Centre of Research Excellence (CoRE) totalling $23M from 2015 to 2020.

Prof Xie has published more than 400 refereed papers and 7 books in areas largely related to advanced robotics and mechatronics technologies for medical and rehabilitation. He has supervised over 100 postgraduate students in the field of Mechatronics and Robotics Engineering including 23 post-doctoral fellows/visiting fellows, 42 PhDs, 38 MEng students, and over 140 BE project students. Prof Xie has been recognised internationally as world leader in the field of Mechatronics and Robotics. He was invited to be the Editor or Technical Editor of five reputable international journals. He was the Technical Editor of IEEE/ASME Transaction on Mechatronics (2013-2017), the Editor-in-Chief for the International Journal of Biomechatronics and Biomedical Robotics; the Associate Editor of International Journal of Mechatronics and Manufacturing Systems, International Journal of Advanced Mechatronic Systems, and International Journal of Mechatronics and Intelligent Manufacturing. He was invited to be a national or international panel member by funding organisations from the Foundation for Research, Science and Technology of NZ, the NSERC Discovery grant/Partnership grant of Canada, the National Natural Science Foundation of China, and the National Science Foundation of Korea. For more information, please browse here.


Prof. Chun-Yi Su
Concordia University, Canada

Biodata: Prof. Chun-Yi Su received his Ph.D. degrees in control engineering from South China University of Technology in 1990. After a seven-year stint at the University of Victoria, he joined Concordia University in 1998, where he is currently a Professor of Mechanical, Industrial & Aerospace Engineering and holds the Concordia University Research Chair in Control. He has also held several short-time visiting positions including a Chang Jiang Chair Professorship by China’s Ministry of Education and JSPS Invitation Fellowship from Japan.

Dr. Su’s research covers control theory and its applications to various mechanical systems, with a recent focus on control of systems involvinghysteresis nonlinearities. He has made fundamental contribution to modeling and control of nonlinear systems involving hysteresis nonlinearities. He developed some fundamental properties for the early development of constrained robotic control. He is the author or co-author of over 400 publications, which have appeared in journals, as book chapters and in conference proceedings.

Dr. Su has served as an Associate Editor of IEEE Transactions on Automatic Control, the IEEE Transactions on Control Systems Technology. He has been on the Editorial Board of several journals, including IFAC’s Mechatronics. He is a Distinguished Lecturer of IEEE RA Society and he has served for many conferences as an organizing committee member.


Prof. Zhengtao Ding
The University of Manchester, UK


Biodata: Zhengtao Ding received B.Eng. degree from Tsinghua University, Beijing, China, and M.Sc. degree in systems and control, and the Ph.D. degree in control systems from the University of Manchester Institute of Science and Technology, Manchester, U.K. After working as a Lecturer with Ngee Ann Polytechnic, Singapore, for ten years, he joined the University of Manchester in 2003, where he is currently Professor of Control Systems with the Dept of Electrical and Electronic Engineering. He serves a member of the school/department leadership team, and Deputy Head of Control, Communication and Signal Processing Division in the university. He is the author of the book: Nonlinear and Adaptive Control Systems (IET, 2013) and has published over 260 research articles. His research interests include nonlinear and adaptive control theory and their applications, more recently network-based control, distributed optimization and distributed machine learning, with applications to power systems and robotics. Prof. Ding has served as an Associate Editor for the IEEE Transactions on Automatic Control, IEEE Control Systems Letters, and several other journals. He is a member of IEEE Technical Committee on Nonlinear Systems and Control, IEEE Technical Committee on Intelligent Control, and IFAC Technical Committee on Adaptive and Learning Systems.

 

Plenary Speaker

Prof. Richard Mitchell
University of Reading, UK

Biodata: Richard Mitchell is Professor of Cybernetics and a University Teaching Fellow at the University of Reading, which he first attended as an undergraduate reading Cybernetics & Control Engineering, prior to his PhD, entitled 'Multimicroprocessor Control of Processes with Pure Time Delay', before becoming a lecturer. He has held many offices at Reading, including Head of Department of Cybernetics, Director of Teaching and Learning and then Senior Tutor in the School of Systems Engineering, and is currently Director of Technology Enhanced Learning in the School of Mathematical, Physical and Computational Sciences at Reading. He is the lead educator for the successful open online course on FutureLearn entitled “Begin Robotics”. He programmed the "seven dwarf" robots in Cybernetics which were forerunners of the ERIC robot which features in "Begin Robotics". His interests include artificial intelligence, control, robotics, Gaia and online learning.

to be announced soon......



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