Keynote Speakers/ 大会主讲人

CMAME2018 Keynote Speakers 

Prof. Wei-Hsin Liao (廖維新教授)


The Chinese University of Hong Kong, Hong Kong  (香港中文大学)


Biography: Wei-Hsin Liao received his Ph.D. in Mechanical Engineering from The Pennsylvania State University, University Park, USA. Since August 1997, Dr. Liao has been with The Chinese University of Hong Kong, where he is currently the Associate Dean (Student Affairs), Faculty of Engineering. His research has led to publications of over 215 technical papers in international journals and conference proceedings, 16 patents in US, China, Hong Kong, Taiwan, Japan, and Korea. He was the Conference Chair for the 20th International Conference on Adaptive Structures and Technologies (ICAST 2009). He was the Conference Chair of Active and Passive Smart Structures and Integrated Systems, SPIE Smart Structures/NDE in 2014 and 2015. He received the T A Stewart-Dyer/F H Trevithick Prize 2005, awarded by the Institution of Mechanical Engineers (IMechE). He is a recipient of the 2008 Best Paper Award in Structures and 2017 Best Paper Award in Mechanics and Material Systems from the American Society of Mechanical Engineers (ASME). He also received the Best Paper Award in Automation in the 2009 IEEE International Conference on Information and Automation, and the Best Conference Paper Award in the 2011 IEEE International Conference on Mechatronics and Automation. Dr. Liao currently serves as an Associate Editor for Mechatronics, Journal of Intelligent Material Systems and Structures, as well as Smart Materials and Structures. Dr. Liao is a Fellow of ASME, HKIE, and IOP.  


Title of Speech: Shape Adaptive Structures by 4D Printing 


Abstract: In this talk, a 4D printing method is introduced to program shape memory polymers (SMPs) during fabrication process. Fused deposition modeling (FDM) as a filament-based printing method is employed to program SMPs during depositing the material. This method is implemented to fabricate complicated polymeric structures by self-bending features without need of any post-programming. Experiments are conducted to demonstrate feasibility of one-dimensional (1D)-to 2D and 2D-to-3D self-bending. It is shown that 3D printed plate structures can transform into masonry-inspired 3D curved shell structures by simply heating. Good reliability of SMP programming during printing process is also demonstrated. A 3D macroscopic constitutive model is established to simulate thermo-mechanical features of the printed SMPs. Governing equations are also derived to simulate programming mechanism during printing process and shape change of self-bending structures. In this respect, a finite element formulation is developed considering von-Kármán geometric nonlinearity and solved by implementing iterative Newton–Raphson scheme. The accuracy of the computational approach is checked with experimental results. It is demonstrated that the theoretical model is able to replicate the main characteristics observed in the experiments. This research is aimed to advance the state of the art FDM 4D printing, and provide pertinent results and computational tool that are instrumental in design of smart materials and structures with self-bending features. 




Prof. Ka Wai E. Cheng (鄭家偉教授)


The Hong Kong Polytechnic University, Hong Kong  (香港理工大学)


Biography: Prof Eric Cheng obtained his BSc and PhD degrees both from the University of Bath in 1987 and 1990 respectively. Before he joined the Hong Kong Polytechnic University in 1997, he was with Lucas Aerospace, United Kingdom as a Principal Engineer and led a number of power electronics projects.
He is the electrical designer for the Hong Kong 1st commercial electric vehicle in Hong Kong. He is also the designer for the 1st charging network in Hong Kong. He received the numerous awards related to electrical engineering, energy and automotive. He has published over 400 papers and 7 books. He has over 200 interviews by media on his research and development. He is now the professor and director of Power Electronics Research Centre of the university. He also management the electric vehicle laboratory that have conducted over 30 electric vehicle projects. His research interests are all aspects of power electronics, Power Quality, Renewable energy, Motor drives, Energy Saving, EMI, high speed rail, Electric Vessel, Electric Vehicle and Automotive advanced components. He is the recipient of the international award in 2016 iCAN Gold Medal for his contribution in active suspension and the Hong Kong Innovation Gold award 2017 and Seoul International Invention Fair 2015 Gold prize for his contribution in super-capacitor to electric vehicles.  


Title of Speech: Future Electric vehicle development and its energy management 


Abstract: Electric vehicle (EV) is one of the major challenges in this century. With the major countries gradually cease the production the petrol vehicle by 2040, the electric vehicle will be certainly the key player in most road transportation. One of the key developments in EV is the energy storage that governs the cost and the travelling distance. Super-capacitor and fuel cells are the other alternatives. Battery and super-capacitor management system is now so important and is a key management and safety component for batteries or energy storage system. A body-integrated super-capacitor system makes use of the all possible space in a vehicle and therefore simplifies the vehicle energy storage design.
High efficiency motor and power converters are also important task. Today we can see many new electric motor topologies with direct drive without gear. And high torque. Also an EV usually consists of tens to hundreds of moving parts that are programmed with intelligent actuation and motion control. All of the above technologies are power electronics based. With the power electronic devices replacing most of the mechanical system, the vehicle will be highly electric. The in-wheel motor, active suspension, active braking, battery swapping robot are now gradually implemented in a vehicle. The vehicle performance data including the battery and super-capacitor are communicated to clouds for monitoring and control.
The talk will discuss the recent and future developments in electric vehicle and the associated control, vehicle safety and energy management.  




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 ( He is Director of the Mechatronics and Microsystems Group and a Professor in the Department of Mechanical and Industrial Engineering, University of Toronto ( He is also a Co-founder and CTO of Sheba Microsystems Inc. ( 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).  


Title of Speech: Micro Actuators in Consumer Electronics and Display Applications 


Abstract: Micro actuators with high performance are needed for a large number of emerging applications including manipulation of lenses and imaging sensors for adaptive optics, positioning lenses for auto focusing/zooming in cameras, micromanipulators, sensing for autonomous vehicles and vector display for HUD in automotive systems and many others. These micro actuators offer varying requirements in terms of stroke, speed, accuracy, reliability, linear versus rotational motion and a number of other requirements. The talk will be presenting novel MEMS actuator platforms that large stroke, generate large forces per unit area and a number of degrees of freedom. 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 miniature cameras. 




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.  


Title of Speech: Making precision cutters from the hardest tool materials 


Abstract: In the last couple of decades, the concept of good product design has shifted from functionality to sustainability. With more customers demanding fuel efficiency, aircraft and automotive industries are using more composite fibre reinforced plastics (CFRP) materials in their products. However, CFRP materials are prone to delamination and local breakage if it is machined with cutter tools that are not sharp enough to cut with minimum forces. The unpredictable large variations in cutting forces damage the cutting edges easily if the tool material is not hard enough. Recently, polycrystalline diamond tools have been increasingly used in CFRP machining operations. However, polycrystalline diamond material is the hardest tool material and is extremely hard to grind to shape. In a complex product, thousands of accurate holes are required to be drilled. Similarly, complex profiles are shaped from the moulded CFRP components. Large number of ground and re-ground cutters are required to ensure these machining processes are completed with precision.
Polycrystalline diamond tools have traditionally been ground by machinist who have developed great skills and dexterity in using their grinding machines. Armed with experience and an intuitive feel for the pressure needed to be exerted on the tool, they can take anywhere from four to five hours to grind one drill. While this exceptional skill is to be admired, such a time consuming and laborious process is clearly impractical to be duplicated for large scale production. Thus there is a need for a more efficient automated process.
This paper reviews the development of a CNC grinding machine for polycrystalline diamond tools. Based on the principle of electric discharge erosion, several strategies for controlling the electric discharge process to produce high precision and reliable tools are discussed. Scientific findings are explained and further research direction to advance the process is recommended.  


Plenary Speaker

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. 


Title of Speech: Nonlinear analysis and design in the frequency domain and applications 


Abstract: Nonlinearity can be employed in various vibration control, energy harvesting and structure health monitoring for achieving advantageous performance. This talk will focus on a brief introduction of a theory for nonlinear analysis and design in the frequency domain with several new concepts such as nonlinear characteristic output spectrum (nCOS) or nonlinear output frequency response function (NOFRF). This method can present a novel and powerful insight into understanding nonlinear dynamics, developed in recent years. Based on this, some R&D activities will be introduced about a class of bio-inspired anti-vibration structures and their applications in passive vibration control, energy harvesting systems, fault detection and diagnosis and robotics etc, recently investiaged in HK PolyU. 




Prof. Ji Wang (王骥 教授)


Ningbo University, China (中国宁波大学)


Biography: Professor Ji Wang has been a Qianjiang Fellow of Zhejiang Province at Ningbo University since 2002. Professor Ji Wang is the founding director of the Piezoelectric Device Laboratory, which is a designated Key Laboratory of City of Ningbo. Professor Ji Wang was employed at SaRonix, Menlo Park, CA, as a senior engineer from 2001 to 2002; NetFront Communications, Sunnyvale, CA, as senior engineer and manager from 1999 to 2001; Epson Palo Alto Laboratory, Palo Alto, CA, as Senior Member of Technical Staff from 1995 to 1999. Professor Ji Wang also held visiting positions at Chiba University, University of Nebraska-Lincoln, and Argonne National Laboratory. He received his PhD and Master degrees from Princeton University in 1996 and 1993 and bachelor from Gansu University of Technology in 1983. Professor Wang has been working on acoustic waves in piezoelectric solids for resonator design and analysis in his research with US and Chinese patents and over 120 journal papers. Professor Wang has been a member of many international conference committees and currently serving the IEEE UFFC Technical Program Committees of the Frequency Control and Ultrasonics Symposia, the IEEE MTT-S, and the IEC TC-49. From 2015, Profess Wang is the editor-in-chief of Structural Longevity. 


Title of Speech: The Vibration Mode Identification of Quartz Crystal Plates with Energy Based Techniques and Finite Element Analysis 


Abstract: For the design of quartz crystal resonators, fast finding and accurate determining the vibration modes have always been very important and useful. Vibration modes are usually identified through plotting displacement mode shapes of each coupled modes. Over the years, there is not much improvement in the identification procedure while tremendous efforts have been made in refining the equations of Mindlin plate theory to obtain more accurate results, such as the adoption of the finite element method (FEM) by implementing the high-order Mindlin plate equations for efficient analysis. However, due to the old fashioned mode identification method, the FEM application is still inadequate and cannot be fully automated for this part. In order to have this procedure improved, we propose a new method by using the proportions of strain and kinetic energies to characterize the energy concentration of each vibration mode. Instead of using the spatial distribution of displacements, we calculate the energy distribution of each vibration mode and designate the mode with the highest energy concentration at a specific frequency as the dominant mode. Then the thermal effect on vibrations including mode variation and conversion are also included to enable a more detailed analysis for quartz crystal resonators. Furthermore, artificial coupling of vibration modes are used for the unified evaluation of uncoupled modes. Eventually, all these methods and procedures are implemented in our FEM program for quartz crystal resonators to enable the optimized and improved functions for efficient visualization of frequency spectra and mode shapes. These results have been validated with the traditional approach by plotting mode shapes at each frequency. Clearly, this energy approach will be advantageous with the finite element analysis for vibration mode identification with minimal human interaction. 







CMAME2017 Keynote Speakers 


Prof. Dr. Ridha Ben Mrad

University of Toronto, Canada

Prof. John Mo

Royal Melbourne Institute of Technology, Australia 

Assoc. Prof. JING Xingjian

The Hong Kong Polytechnic University 

Prof. Ji Wang (王骥 教授)

Ningbo University, China