Keynote Speakers of ICDME2017
Prof. Dr. Ridha Ben Mrad
University of Toronto, Canada (加拿大多伦多大学)
Biography: Ridha Ben-Mrad, P.Eng., FCSME, Chief Research Officer and Associate Academic Director of Mitacs (www.mitacs.ca). He is Director of the Mechatronics and Microsystems Group and a Professor in the Department of Mechanical and Industrial Engineering, University of Toronto (www.mie.utoronto.ca). He is also a Co-founder and CTO of Sheba Microsystems Inc. (www.shebamicrosystems.com). He joined the University of Toronto in 1997, having previously held positions at the National Research Council of Canada in Vancouver, BC, and the Ford Research Laboratory in Dearborn, Michigan. R. Ben-Mrad received a PHD in Mechanical Engineering from the University of Michigan, Ann Arbor in 1994. He also received a Bachelor of Science in Mechanical Engineering from Penn State, a Master’s degree in Mechanical Engineering and a Master’s degree in Electrical Engineering both from the University of Michigan, Ann Arbor. R. Ben-Mrad’s research interests are micro-actuators and sensors, MEMS, microfabrication, and development of smart materials based devices. His research led to a number of patents and inventions including 12US, Canadian, European and Chinese patents and more than 160 refereed research publications. He supervised the work of more than 16 PHD students, 38 Master’s students, 14 researchers, 3 Post-Doctoral Fellows, and 64 senior undergraduate students. He received the Faculty Early Career Teaching Award in 2002 and the Connaught Innovation Award in 2013 and in 2014. R. Ben-Mrad currently chairs the IEEE IES Committee on MEMS and Nanotechnology (2015-2016), is Associate Editor of the IEEE Industrial Electronics Tech News (2013-current) and the Journal of Mechatronics (2015-current), serves on the Steering Committee of the IEEE Journal on Micro Electro Mechanical Systems (2010-current) and is a member of the IEEE IES Publication Committee (2013-current). He was the founding Director of the Institute for Robotics and Mechatronics at the University of Toronto (2009-2011) and was Associate Chair of Research of his department (2009-2012).
Speech Title: Micro Actuators and Sensors for Emerging Applications
Abstract: Micro actuators are sought for many emerging applications such as adaptive optics, spatial light modulation, positioning micro lenses for auto focusing/zooming, micromanipulators, vector display and many others. These applications require the manipulation of masses with milligram size and generation of out-of-plane displacement ranging from few to hundreds of micrometers. This is difficult to achieve at the microscale. The talk will be presenting novel micro electrostatic actuators platforms that provide out-of-plane motion leading to a stroke that is orders of magnitude higher than standard micro electrostatic actuators and generating large forces. Different implementations of these micro-actuators are shown and their use for developing a number of applications including 3D micromirrors for vector display and automotive head up display, and autofocus and optical image stabilization in phone cameras. The same micro electrostatic platform is shown to provide for very high sensitivity and very large range sensing capability and is shown through implementations as micro accelerometers and micro force sensors for high performance applications.
Prof. John Mo
Royal Melbourne Institute of Technology, Australia (墨尔本皇家理工大学)
Biography: John P. T. Mo is Professor of Manufacturing Engineering and former Head of Manufacturing and Materials Engineering at RMIT University, Australia, since 2007. He has been an active researcher in manufacturing and complex systems for over 35 years and worked for educational and scientific institutions in Hong Kong and Australia. From 1996, John was a Project Manager and Research Team Leader with Australia’s Commonwealth Scientific and Industrial Research Organisation (CSIRO) for 11 years leading a team of 15 research scientists. John has a broad research interest and has received numerous industrial research grants. A few highlights of the projects include: signal diagnostics for plasma cutting machines, ANZAC ship alliance engineering analysis, optimisation of titanium machining for aerospace industry, critical infrastructure protection modelling and analysis, polycrystalline diamond cutting tools on multi-axes CNC machine, system analysis for support of complex engineering systems John obtained his doctorate from Loughborough University, UK and is a Fellow of Institution of Mechanical Engineers (UK) and Institution of Engineers Australia.
Speech Title: The art of synthesising mechanical system irregularities and its applications
Abstract: Modern mechanical systems have increasing complexity and sophistication. Predictive control schemes require continuous assessment of the conditions of the manufacturing equipment to determine if it will operate properly in the next minute or hour. Many system monitoring methods are statistically based, that is, they raise alarms when the performance deviates beyond pre-determined and sometimes broad limits. The pre-determined limits are computed from past history and may not have direct relevance to the actual working principles of the mechanism. Hence, the problem of statistical methods in general is that it may provide only a rudimentary assessment of the system’s condition based on some ad hoc experience which may not relate to the current situation. Worse still is that the computational process can take a long time. As a consequence, the action taken is often not appropriate and unable to cure the cause. The lack of discrimination in this approach often leads to difficulties in maintaining consistent product quality and service delivery.
This paper describes an approach in which mechanical systems are analysed on the basis of recognising normal behaviour, thereby providing a means of synthesising their abnormal behaviour, i.e. irregularities. This technique has the advantage that, instead of comparing simple limits, it assesses the system’s condition based on a whole range of performance signal patterns. The outcome can be easily implemented online in real time operations so that appropriate remedial actions can be taken in time to correct errors. The approach has a wide range of applications. Examples of how the technique works on complex mechanical systems and processes are given in this paper.
Plenary Speakers of ICDME2017
Assoc. Prof. JING Xingjian
The Hong Kong Polytechnic University (香港理工大学)
Biography: Xingjian Jing (M’13, SM’17) received the B.S. degree from Zhejiang University, Hangzhou, China, in 1998, the M.S. degree and PhD degree in Robotics from Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China, in 2001 and 2005 respectively. He achieved the PhD degree in nonlinear systems and signal processing from the Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, U.K., in 2008.
He is now an Associate Professor with the Department of Mechanical Engineering, the Hong Kong Polytechnic University (PolyU) even since July 2015. Before joining in PolyU as an Assistant Professor in Nov 2009, he was a Research Fellow with the Institute of Sound and Vibration Research, University of Southampton, working on biomedical signal processing. His current research interests include: nonlinear frequency domain methods, nonlinear system identification/control or signal processing, and bio-inspired systems and methods, with applications to vibration isolation or control, robust control, sensor technology, energy harvesting, nonlinear fault diagnosis or information processing, and robotics etc.
Dr Jing is the recipient of a series of academic and professional awards including more recently the 2016 IEEE SMC Andrew P. Sage Best Transactions Paper Award and the 2017 TechConnect World Innovation Award. He is an active reviewer for many known journals and conferences. He currently severs as Technical Editor of IEEE/ASME Trans. on Mechatronics, Associate Editor of Mechanical Systems and Signal Processing, and also as editorial board members of several other international journals.
Speech Title: Nonlinearity in engineering: Theory, methods and applications
Abstract: Nonlinear analysis and design is a hot topic in the area. Employing nonlinearity in engineering applications is an even more challenging but very promising topic in the literature. Nonlinearity can be employed in various vibration control, energy harvesting and structure health monitoring for achieving advantageous performance. This talk will focus on a special X-shaped structure and its superior nonlinear benefits in passive vibration control, energy harvesting systems and others, recently developed in HK PolyU. The X-shaped structure can provide very beneficial nonlinear stiffness and damping characteristics which are exactly needed in various engineering vibration control problems.