Honorary President of State Grid Electric Power Research
Institute (SGEPRI or NARI), China
Member of Chinese Academy of Engineering (CAE), China
Chairman of Technical Committee of Chinese National Committee of
CIGRE (International Council on Large Electric Systems), China
Yusheng Xue received MSc degree in Electrical Engineering from EPRI, China
in 1981 and PhD degree from the University of Liege, Belgium in 1987. He was
elected an academician of Chinese Academy of Engineering in 1995. He is now
the Honorary President of State Grid Electric Power Research Institute (SGEPRI
or NARI), China. He holds the positions of Adjunct Professor in many
universities in China and a conjoint professor of the University of
Newcastle in Australia. He was also an honorary professor of the University
of Queensland, Australia. He is the Editor-in-Chief of the Journal of
"Automation of Electric Power System" (in Chinese) and that of the "Journal
of Modern Power System and Clean energy" (in English), and a member of
Editorial Board of IET Generation, Transmission & Distribution, and Chairman
of Technical Committee of Chinese National Committee of CIGRE since 2005.
Plenary Lecture 2
Yeung, Daniel S.
Chair Professor at South China University of Technology, China
(Ph.D., M.Sc., M.B.A., M.S., M.A., B.A.) has worked as an Assistant Professor at
Rochester Institute of Technology, New York, as Principal Lecturer and Associate
Head of the Computer Science Department at City University of Hong Kong, as head
of the Management Information Department, as Department Head and Chair Professor
of the Department of Computing, The Hong Kong Polytechnic University, Hong Kong.
Currently he is a Chair Professor at South China University of Technology,
He also held industrial and business positions as a Technical
Specialist/Application Software Group Leader at the Computer Consoles, Inc.,
Rochester, New York, an Information Resource Sub-manager/Staff Engineer at the
Military and Avionics Division, TRW Inc., San Diego, California, and an
Information Scientist of the Information System Operation Lab, General Electric
Corporate Research and Development Centre, Schenectady, New York.
His current research interests include neural-network sensitivity analysis,
pattern recognition, and fuzzy rough set.
Plenary Lecture 3
Department of Electrical & Computer Engineering
University of Alberta, Edmonton Canada
Systems Research Institute, Polish Academy of Sciences
From Numeric Models to Granular System Modeling
Abstract: In the
era of advanced methodologies and practices of system modeling, we are faced
with ever growing challenges of building models of complex systems that are
in full rapport with reality. These challenges are multifaceted. Human
centricity becomes of paramount relevance in system modeling and because of
this models need to be customized and easily interpretable. More and more
visibly, experimental data and knowledge of varying quality being directly
acquired from experts have to be efficiently utilized in the construction of
models. The quality of data and ensuing quality of models has to be
prudently quantified. There are ongoing and even exacerbated challenges to
build intelligent systems, modeling multifaceted phenomena, and deliver
efficient models that help users describe and understand systems and
to become fully cognizant that processing and modeling has to be realized
with the use of entities endowed with well-defined semantics, namely
information granules. Human do not perceive reality and reason in terms of
numbers but rather utilize more abstract constructs (information granules),
which are helpful in setting up a certain cognitive perspective and ignore
irrelevant details when dealing with the complexity of the systems.
talk, we introduce the key concepts of Granular Computing and demonstrate
how this conceptual framework gives rise to human-centric system modeling
and granular models. We discuss several representative formal setups used in
describing and processing information granules including fuzzy sets, rough
sets, and interval calculus. Key architectures of models dwell upon
relationships among information granules. In particular, we elaborate on a
principle of incompatibility in system modeling stressing a need for
achieving a sound tradeoff between precision and relevance of a model, which
is of particular relevance when coping with systems of high complexity. We
also demonstrate how information granularity and its optimization can be
regarded as an important design asset to be exploited in system modeling.
With this regard, two categories of models along with their granular
augmentations are studied in detail, namely rule-based models and neural
Professor and Canada Research Chair (CRC) in Computational Intelligence in the
Department of Electrical and Computer Engineering, University of Alberta,
Edmonton, Canada. He is also with the Systems Research Institute of the Polish
Academy of Sciences, Warsaw, Poland. He also holds an appointment of special
professorship in the School of Computer Science, University of Nottingham, UK.
In 2009 Dr. Pedrycz was elected a foreign member of the Polish Academy of
Sciences. In 2012 he was elected a Fellow of the Royal Society of Canada. Witold
Pedrycz has been a member of numerous program committees of IEEE conferences in
the area of fuzzy sets and neurocomputing. In 2007 he received a prestigious
Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Council. He is
a recipient of the IEEE Canada Computer Engineering Medal 2008. In 2009 he has
received a Cajastur Prize for Soft Computing from the European Centre for Soft
Computing for "pioneering and multifaceted contributions to Granular Computing".
In 2013 has was awarded a Killam Prize. In the same year he received a Fuzzy
Pioneer Award 2013 from the IEEE Computational Intelligence Society.
His main research directions involve Computational Intelligence, fuzzy modeling
and Granular Computing, knowledge discovery and data mining, fuzzy control,
pattern recognition, knowledge-based neural networks, relational computing, and
Software Engineering. He has published numerous papers in this area. He is also
an author of 15 research monographs covering various aspects of Computational
Intelligence, data mining, and Software Engineering.
Dr. Pedrycz is intensively involved in editorial activities. He is an
Editor-in-Chief of Information Sciences, Editor-in-Chief of IEEE Transactions on
Systems, Man, and Cybernetics Systems and Editor-in-Chief of WIREs Data Mining
and Knowledge Discovery (Wiley). He currently serves as an Associate Editor of
IEEE Transactions on Fuzzy Systems and is a member of a number of editorial
boards of other international journals.
Plenary Lecture 4
Pardalos, Panos M.
Industrial and Systems Engineering, University of Florida
Data Mining and
Optimization for Large and Massive Datasets in Biomedical
Abstract: In recent
years, data mining, optimization algorithms and heuristic methods have been
increasingly used for the analysis of large and massive datasets for a wide
variety of biomedical applications. Such applications include fMRI, EEG, Raman
spectroscopy, NMR, and patient databases. These datasets are often classified as
having very high dimensionality, and typically consist of relatively small
sample sizes, while other datasets may have large sample numbers yet low
dimensionality. The proper implementation and combination of techniques such as
machine learning, global optimization, clustering, and dimensionality reduction
is necessary for accurate analysis of these large and massive datasets. This
analysis often provides useful information about the internal structure of the
data sets they represent. In this talk, I will discuss our group's work on
several optimization and data mining computational approaches for biomedical
Panos M. Pardalos
serves as a Distinguished Professor of the Industrial and Systems Engineering
Department and the J. Crayton Pruitt Family Department of Biomedical
Engineering, and is also an affiliate faculty member of the Computer and
Information Science Department, as well as the Hellenic Studies Center at the
University of Florida Engineering.
He is also the Director of the Center for Applied Optimization (http://www.ise.ufl.edu/cao/).
Dr. Pardalos is a world leading expert in global and combinatorial optimization.
His recent research interests include network design problems, optimization,
data mining, and massive computing for applications in telecommunications,
e-commerce, and biomedical engineering. Professor Pardalos is a Fellow of AAAS
and INFORMS. He is a member of several Academies of Sciences and holds several
honorary professorships and Ph.D. degrees at universities around the world. Dr.
Panos Pardalos, was recently awarded the 2013 EURO Gold Medal Prize, bestowed by
the Association for European Operational Research Societies, as well as
recipient of the 2013 Constantin
Carathéodory Prize of the International Society
of Global Optimization.
Plenary Lecture 5
of Essex, U.K.
New Trends in Advanced
Medical and Rehabilitation Robots
Abstract: As the
level of intelligence and robustness in robotics technologies advances and
computers become more powerful, robots are gradually doing formerly human
manual work in the operating theatre and hospitals. Currently, there are
three new trends in advanced medical and rehabilitation robots. The 1st
new trend is the application of surgical and implantable robots to improve
consistency and reliability, promote minimum invasive for fast patient
recovery, as well as reduce the time of surgery operations. The 2nd
new trend is the application of wearable and assistive robots to support
mobility and independent living of patients and elderly. The 3rd
new trend is the use of network technology and tele-operated robots for
home-based healthcare and rehabilitation at a reduced cost. This talk will
focus on these trends and uncover what they tell us about the future of the
field. Some successful systems are demonstrated via video clips.
is a Professor in the School of Computer Science & Electronic Engineering at the
University of Essex, leading the Robotics Group. His research interests include
behaviour-based robotics, human-robot interaction, service robots, embedded
systems, learning algorithms, mechatronics, and pervasive computing. He has
published over 430 papers in journals, books and conferences in these areas, and
received a number of best paper awards. Prof. Hu is a Fellow of Institute of
Engineering & Technology, a Fellow of Institute of Measurement & Control, a
senior member of IEEE and ACM, a founding member of IEEE Robotics & Automation
Society Technical committee on Networked Robots. He has been a Program Chair or
a member of Advisory/Organising Committee for many international conferences
such as IEEE IROS, ICRA, ICMA, ROBIO, ICIA, and IASTED RA and CA conferences.
Currently, He is Editor-in-Chief for International Journal of Automation and
Computing, Founding Editor-in-Chief for Online Robotics Journal and an Executive
Editor of International Journal of Mechatronics and Automation.
Plenary Lecture 6
Professor ,Faculty of Science & Engineering,Waseda University
Director, Centerfor Advanced Biomedical Sciences,(TWIns), Waseda
Dept. Head, Cooperative Major in Advanced Biomedical Sciences, Joint
Graduate School of Tokyo Women's Medical University and Waseda
way to collaborate - Another EBM; Engineering Based Medicine
Abstract: I will
introduce the new education and research system for Biomedical Engineering at
TWIns, Waseda University, Shinjuku, Tokyo.TWIns is an abbreviation for Tokyo
Women's Medical University and Waseda University Joint Institution for Advanced
Biomedical Sciences. In 2008, TWIns became the first collaborative research
institute between a school of medicine and a school of science and engineering
Sustainable growth of the medical instrument industry requires fruitful
collaborations among engineers, physicians, and researchers as well as new
recruits hired from biomedical science graduate programs. Invention of
sophisticated medical technology calls for creative thinking to solve a wide
array of design and construction problems in unconventional ways. For these
reasons, we constructed the four-story TWIns building next to the Tokyo
Women's Medical University Hospital. Six hundred researchers, including more
than three hundred graduate students share this facility, and twenty percent
of them have a background in mechanical engineering.
mechanical engineering faculty and students are creating analytical tools to
assess the performance of medical instruments and predict the outcomes of
prospective medical and surgical treatments. They are also constructing
hardware and designing software to evaluate the performance of medical
device prototypes, focusing on practical clinical applications. I have
proposed this approach as another EBM: Engineering Based Medicine.
addition, in 2010 we opened a joint graduate school that offers the first
government-approved PhD degree program in Medical Regulatory Science. We
hope this unique environment will contribute to the future success of those
who experience Engineering-Based Medicine at TWIns.
is a biomedical engineer in the cardiovascular research area. He received two
PhDs ; Doctor of Engineering from Waseda University and Doctor of Medical
Science from Tokyo Women's Medical University.He was appointed as a research
associate and laboratory head of a department of Artificial Organs at the
National Cardiovascular Center Research Institute, Osaka between 1979 and 1988.
Then, he worked as the first project leader of Australian Artificial Heart
Program at Sydney St.Vincent's Hospital. He has been a professor of the
Department of Mechanical Engineering, Waseda University since 1992. Now, he is a
director of Center for Advanced Biomedical Sciences, TWIns, and also a
department head of Joint Graduate School with Tokyo Women's Medical University.
His recent research interest includes development and evaluation of artificial
organs and regulatory science for medical devices.