Dr. El-Hawary is Associate Dean of Engineering
and has been Professor of Electrical and Computer Engineering at
Dalhousie University since 1981. He has a Bachelors degree in
Electrical Engineering, Distinction from the University of
Alexandria, Egypt, 1965, and a Ph.D. from University of Alberta,
Edmonton, 1972, where he was a Killam Memorial Fellow.
He served on faculty, and was chair of the Electrical Engineering Department at Memorial University of Newfoundland for eight years. He was Associate Professor of Electrical Engineering at the Federal University of Rio de Janeiro for two years and was Instructor at the University of Alexandria. He pioneered many computational and artificial intelligence solutions to problems in economic/environmental operation of power systems. He has written ten textbooks and monographs, and 120+ refereed Journal articles. He has consulted and taught for 30+ years, is a Fellow of EIC and IEEE, and the Canadian Academy of Engineering (CAE).
Mo has been a member of IEEE since 1968 and a very active volunteer in IEEE - in the Newfoundland and Labrador Section, IEEE Canada, the Power Engineering Society, and the IEEE Board of Directors. He has been awarded the IEEE Canada General A.G.L. McNaughton Gold Medal, the IEEE Educational Activities Board Meritorious Achievement Award, and the IEEE Power Engineering Educator of the Year award. In May 2010, he received the IEEE Canada W.S. Reid Outstanding Service Medal.
At present, Dr. E-Hawary is Vice President Development and chair of the Development Committee of the IEEE Canadian Foundation. He is a past president of IEEE Canada, and a past Secretary of IEEE.
"Smart Grid intelligent functions for coordinating control solutions"
Abstract:World-wide smart grid initiatives are
motivated by overstressed networks; shifts in social, energy and
environmental policy trends and the aging of the electric power
infrastructure. Power systems are required to be more adaptive and
secure more than ever before. Consumers are also demanding enhanced
power quality and reliability of supply and delivery.
The presentation outlines Smart Grid intelligent functions that promote interactions of control, and optimization technologies to achieve adaptability, self-healing, efficiency and reliability of power systems. Conventional power system operational control is based on steady-state optimization that may break down when fast variations are present in the system. To provide a coordinating control solution to multiple grid-connected energy systems, an intelligent real-time power flow control method, namely the dynamic stochastic optimal power flow (DSOPF) control, has been advocated. The integration of DSOPF to achieve the design goals with advanced capabilities are discussed. This presentation also outlines research focus for developing next generation advanced tools for efficient and flexible power systems operation and control. .
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 190 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). In 2008, he received the Best Paper Award in Structures 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. 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.
“Robotic Exoskeletons for Motion Assistance of Paralyzed Patients”
Abstract: The number of paralyzed patients caused by stroke, spinal cord injury (SCI) or other related diseases is increasing. In order to improve the physical and mental health of these people, robotic devices that can help them to regain the mobility to stand and walk are highly desirable. We aim to develop a wearable exoskeleton suit to help paralyzed patients regain the ability to stand up/sit down (STS) and walk. A lower extremity exoskeleton named CUHK-EXO was developed with considerations of ergonomics, user-friendly interface, safety, and comfort. The mechanical structure, human-machine interface, reference trajectories of the exoskeleton hip and knee joints, and control architecture of CUHK-EXO were designed. Clinical trials with a paralyzed patient were performed to validate the effectiveness of the whole system design. With the assistance provided by CUHK-EXO, the paralyzed patient was able to STS and walk. As designed, the actual joint angles of the exoskeleton well followed the designed reference trajectories, and assistive torques generated from the exoskeleton actuators were able to support the patient’s STS and walking motions. The whole system design of CUHK-EXO is effective and can be optimized for clinical application. The exoskeleton can provide proper assistance in enabling paralyzed patients to stand up, sit down, and walk
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
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.
" Overview of Robotics Evolution Emphasizing Underwater Applications"
Abstract:While there has been much progress in advancing robotic technologies as applied on land, air, and even planetary exploration, the biggest challenge is still in underwater vehicles such as Remotely Operated Vehicles (ROV) and Autonomous Underwater Vehicles (AUV) maneuvering to respond to oceanographic agencies world-wide. This presentation focuses on recent trends in practical underwater search such as cable burial, salvage, search and surveying for mineral resources, oil spill, marine accidents, and wreckage sites for salvage and recovery purposes. Examples of the latter include Swiss Air flight 111, TWA Flight 800, and more. The accurate location is a basic requirement for autonomous underwater robot deployment. The location methods of mobile robots using multi-sensor data fusion to combine multi-sensor's information, which is redundant or complementary in the space or time to obtain an appropriate uniform description or the understanding of the target object according to a certain criterion. It is demonstrated that technology extends bottom time from minutes to hours, even in shallow water while reducing risk to personnel. Tethered vehicles have been shown to be important inspection and recovery tools. Compared with fifteen years ago, there are many more assets available which can be mobilized to access targets even in very deep water. The numbers and diversity of assets available and developed expertise continues to grow.
Aderazek Ben Abdallah is a full Professor of Computer Science and Engineering and the Head of the Division of Computer Engineering, the University of Aizu since April 2014. He has been a faculty member at the Division of Computer Engineering, the University of Aizu since 2007. Before joining the University of Aizu, he was a research associate at the Graduate School of Information Systems, the University of Electro-Communications at Tokyo from 2002 to 2007. Dr. Ben Abdallah received his Ph.D. degree in Computer Engineering from the University of Electro-Communications at Tokyo in 2002. His research interests cover a broad spectrum of areas, including adaptive and reconfigurable multi/manycore and processor architectures, photonic interconnects, on-chip networks, power- and reliability aware computing, neuro-inspired computing, and computer architecture. He has authored three books, published more than 150 journal articles and conference papers in these areas and given invited talks as well as courses at several universities, including Hong Kong University of Science and Technology (HKUST) and Huazhong University of Science and Technology (HUST). He has been a PI or CoPI of several projects for developing next generation high-performance reliable computing systems for applications in general purpose and pervasive computing.
He is a senior member of IEEE, and a member of ACM and IEICE. He was awarded a Presidential prize for scientific research and technology in 2010, and several best-paper awards (BWCCA2010, FAN2009, PDCAT2007). He served on the chair, editorial, and review boards of several journals and conferences including, steering chair of the IEEE MCSoC Symposium Series. He has been also involved in co-organizing many symposia, and conferences as well as guest editor of special issues in journals, such as IEEE Transactions on Emerging Topics in Computing.
" Neuro-inspired Vision System-on-Chip with On-chip Learning for Mission-Critical Applications "
Abstract:With the advance in multicore processors, demands for real-time pattern recognition have been appearing in many mission-critical applications, such as security, surveillance, mobile robot, defence, avionics, and automotive. Such applications also require energy efficiency, reliability and adaptively. Processing vision algorithms in these applications requires huge computing power and data transactions among tasks. In addition, having a real-time decision also requires low latency from the system, which makes the analysis of the large input data set even more complicated. In this talk, the benefits and methods of the integration of the neuro-inspired logic with multi-core system-on-chip will be given, especially for high-performance low power pattern recognition and vision applications in mobile robots. Furthermore, learning in the neuro-inspired circuit enables to adapt its operation to the input over time at runt-time. This talk will also present the on-chip interconnection network design trends for neuro-inspired processor. The talk will conclude by describing future prospects on neuro-inspired chips and systems and their impacts on future computing.