Keynote Speakers

ICCAR 2018

Dr. Ferial El-Hawary, Dalhousie U., Canada, IEEE Life Fellow

Ferial El-Hawary received the M. Sc. from the University of Alberta, Canada in Electrical Engineering and the Ph.D. from Memorial University of Newfoundland in Oceans Engineering. She is Cofounder and President of BH Engineering Systems Limited of Halifax, and the "Modeling and Signal Analysis Research Laboratory" in the Faculty of Engineering at the Technical University of Nova Scotia (TUNS). Dr. El-Hawary supervised many of graduate students at TUNS and her research work has been supported by Natural Sciences and Engineering Research Council of Canada (NSERC) Grants.

Dr. El-Hawary has been involved in OCEANS Activities both technically and administratively having been a member of the Marine Technology Society (MTS) since over two decades. She is the founding Chair of the MTS' Canadian Maritime Section, Halifax, N.S., Canada and has served the MTS with many capacity.

Dr. El-Hawary continues to be involved in OCEANS Activities both technically and administratively as a current member of the IEEE Oceanic Engineering Society Administrative Committee (AdCom) having served as Vice- President International, and Past Chairman of the Membership Development Committee. She was nominated to serve as President of the Society. Ferial has been instrumental in establishing the Canadian Atlantic Chapters of Oceanic Engineering Society, and she is recognized for her leadership roles in establishing strong IEEE/OES European Chapter based in France as well as the IEEE/OES Chapter based in Trondeheim, Norway. Ferial was heavily involved in the organizing Committees of OCEANS'87, OCEANS'97 Conferences, and CCECE'2000 in Halifax, N.S., Canada and OCEANS'94, OCEANS'98 in France. Dr. El-Hawary is the current Chair of Eastern Canada Council of IEEE Canada, and a member of IEEE Committee on Women in Engineering.

She has organized and chaired many Technical sessions as well as Panel Discussions at the OCEANS Conferences for the past two decades. Dr. El-Hawary served as Chair of the Tutorial Program for many OCEANS Conferences including OCEANS'01. She has published widely, and was guest editor of a special sequence of issues for the IEEE Journal of Oceanic Engineering on Advanced Applications of Control and Signal Processing in the Oceans Environment. Also she is the Chief Editor of "The OCEANS Engineering Handbook" published in 2001 by IEEE and CRC Press. Currently she is an Associate Editor of the IEEE Journal of Oceanic Engineering Society (JOES).

She is a recipient of IEEE Canada Wally Read Service Award for 2000, the IEEE Third Millennium Medal' 2000, the 1999 RAB Achievement Award, 1997 IEEE Oceanic Engineering Society Distinguished Service Award . She is a Fellow of IEEE, a Fellow of the Engineering Institute of Canada (EIC), and a Fellow of the Marine Technology Society (MTS). Ferial served as president of IEEE Canada in 2008 and 2009.

Prof. Peter Xu, University of Auckland, New Zealand

Prof Weiliang Peter Xu received the B.E. degree in manufacturing engineering and the M.E. degree in mechanical engineering from Southeast University, Nanjing, China, in 1982 and 1985, respectively, and the Ph.D. degree in mechatronics and robotics from Beijing University of Aeronautics and Astronautics, Beijing, China, in 1988. He joined The University of Auckland, Auckland, New Zealand, on February 1, 2011, as Chair Professor in Mechatronics Engineering. Before this appointment, from 2007 to 2010, he was a Professor of mechatronics, from 2005 to 2006, was an Associate Professor, and from 1999 to 2004, was a Senior Lecturer in the School of Engineering and Advanced Technology, Massey University, New Zealand. Prior to coming to New Zealand, from 1993 to 1998, he was with the City University of Hong Kong, from 1990 to 1992, was with the University of Stuttgart, Germany, and from 1988 to 1989, was with Southeast University, China.

Dr. Xu is a Fellow of the Institution of Professional Engineers of New Zealand. Since 2003, he has been serving as an Associate Editor of the IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS; from 2008 to 2009, was an Associate Editor of the IEEE Robotics and Automation Magazine; and from 2005 to 2010, was an Editor for the International Journal of Intelligent Systems Technologies and Applications. He received the Alexander von Humboldt Research Fellowship (Germany) in 1990, the Fung Ying Tung Young Academics Research Award (China) in 1996, the Korean Federation of Science and Technology Research Fellowship (South Korea) in 2006, and the Japan Society of the Promotion of Science Research Fellowship (Japan) in 2010.

Prof Xu is the Director of Mechatronics Engineering Program. He is also Principal Investigator of the New Zealand Medical Technologies Centre of Research Excellence (CoRE) and Associate Investigator of The Dodd-Walls Centre for Photonic and Quantum Technologies (CoRE) and Riddet Institute (CoRE).

"Soft Robotic Digestion Organs"

Abstract: This talk introduces the research program on soft robotics for human digestion system including tongue, esophagus and gastric tract. These robotic organs are developed for in vitro simulation of the digestive system interacting with food to test medical hypotheses and assist in developing novel food products. The biological principle and the biomimetic design of these robotic organs are presented with focus on their distributed actuation, sensing and closed-loop control. Science challenges in the soft robotics are outlined, including data-driven modelling and control.

Prof. Wei-Hsin Liao, The Chinese University of Hong Kong

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 (CUHK), where he is currently the Associate Dean (Student Affairs), Faculty of Engineering. His research has led to publications of over 200 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 in 2009; the 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 received 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 three Best Paper Awards in IEEE conferences. As the Chair of Joint Chapter of Robotics, Automation and Control Systems Society (RACS), IEEE Hong Kong Section, Dr. Liao received 2012 Chapter of the Year Award from the IEEE Robotics and Automation Society. He 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.

"Design and Control of Powered Ankle-Foot Prosthesis with Nonlinear Parallel Spring Mechanism"

Abstract: Ankle-foot prostheses are used to help regain walking function in individuals having amputations below the knee. Transtibial prostheses generally can be classified into two main types: passive and powered prostheses. As passive transtibial prostheses do not contain actuators, these cannot provide net positive work during a gait cycle, as does an intact human ankle. This lack of positive work hinders amputees from restoring a more natural gait behavior. Amputees with passive prostheses have various problems during walking, such as non-symmetric gait patterns and higher metabolic cost as compared to the gait of intact individuals. For powered prostheses, actuators are employed to deliver net positive energy to propel the body forward during walking. We have developed an innovative powered ankle-foot prosthesis with a compact parallel spring mechanism. The parallel spring mechanism consisting a cam and two linear springs are used to reduce the power and torque requirement of actuators, while improving the system energy efficiency. Herein, the cam profile is designed to generate desired spring torque rather than the stroke versus angle curve. Therefore, the spring can reproduce human ankle controlled dorsiflexion stiffness. For evaluating the developed prosthesis, clinical trials on a below knee amputee are conducted. The results show that the performances of prosthesis are similar to the normal gait.

Prof. Antonio Moran, Pontifical Catholic University of Peru, Peru

Dr. Antonio Moran obtained the Doctor and Master degrees in Mechanical Systems Engineering from Tokyo University of Agriculture and Technology, Japan, where he has been professor and scientific researcher at the Laboratory of Robotics, Automation and Control Systems developing research projects for automotive industry companies. Dr. Moran has been president of the IEEE Robotics and Automation Society RAS, Peru Chapter, and obtained the 2014 Best Society Award in the International Conference in Robotics and Automation ICRA held in Hong Kong, China.
Dr. Moran is visiting professor at Tokyo University of Agriculture and Technology, Japan, Ilmenau University of Technology, Germany, and Stockholm University, Sweden. He is professor at the Graduate School of Pontifical Catholic University of Peru, and technical manager of Technova SAC, company providing engineering solutions to industry. His research interests include computational intelligence, integration of neural networks, fuzzy logic and genetic algorithms, learning systems, mobile robotics, nonlinear systems modeling and control, and their applications to industry.

"Advances in Deep Recurrent Neural Networks: Training and Applications"

Abstract: Recurrent neural networks RNN are networks with feedback connections exhibiting a dynamic temporal behavior, common in real-world applications where the response of a system depends on present and past inputs and states. Recurrent neural networks possess internal memory that allows them to process sequence of inputs with arbitrary temporal relationships. These properties make RNN applicable to complex tasks such speech and handwritten recognition, signal processing, modeling and control of nonlinear dynamic systems, robot path planning and control, among other applications that include deep learning and LSTM networks.