Plenary Speakers
Keynote Speakers and Topics
Keynote One November 13, 15:20~16:10
Speaker: Professor Norio Shiratori
Topic: Towards Symbiosis Information Society
- Bridging the gap between human and computer -
Chair: Jenq-Neng Hwang, University of Washington, USA
Keynote Two November 13, 17:40~18:30
Speaker: Professor Da-Ming Wei
Topic: Computer Simulation for Catheter-based Electrophysiology Study:
A Virtual Reality Environment Based on Whole-heart model
Chair: Ying-Hong Wang, Tamkang University, Taiwan
Keynote Three November 14, 09:30~10:20
Speaker: Professor Pau-Choo (Julia) Chung
Topic: Pervasive Care and Video Analysis
Chair: Hui-Huang Hsu, Tamkang University, Taiwan
Keynote Four November 14, 15:20~16:10
Speaker: Professor Satoru Miyano
Topic: Computational Drug Target Pathway Discovery
Chair: Vincent Shin-Mu Tseng, National Cheng Kung University, Taiwan
Keynote Five November 14, 17:40~18:30
Speaker: Professor Stanisla V. Klimenko
Topic: Virtual Environment,
Neogeography and Oracle Spatial in Integrated Emergency Management
for
Prevention, Preparedness, Response and Recovery
Chair: Chin-Hwa Kuo, Tamkang University, Taiwan
Keynote Six November 15, 09:30~10:20
Speaker: Professor Alexander Zhdanov
Topic: Machines with Autonomous Artificial Intelligence
Chair: Stanisla V. Klimenko, MIPT, Russia
Keynote Seven November 15, 15:20~16:10
Speaker: Professor Mohammad S. Alam
Topic: Ultrafast Computing Architectures and Algorithms for Pattern
Recognition and Tracking
Chair: Timothy K Shih, National Taipei University of Education
Short biography of Professor Norio Shiratori:
Norio Shiratori is currently a Professor at Research Institute of Electrical Communication (RIEC), Tohoku University, Japan. Before moving to RIEC in 1993, he was the Professor of Information Engineering at Tohoku University from 1990 to 1993. Prior to that, he served as an Associate Professor and Research Associate at RIEC, Tohoku University, after receiving his Doctoral degree from Tohoku University in 1977. He was also served as the vice Director of RIEC, vice President of IPSJ (Information Processing Society of Japan) and IFIP representative of Japan. He is a fellow of IEEE, IPSJ and IEICE.
Professor Shiratori also contributes through serving as various capacities, such as: General Chair of the 9th IEEE ICOIN-9(1994), IFIP Joint International conference FORTE/PSTV'97, and 12th IEEE ICOIN-12 (1997); Program Chair of ICPADS'96 (1996) and ICPP-99 (1999).
Dr. Shiratori was one of the leaders in Japan Gigabit Network (JGN) national project and headed several national projects such as, SCOPE - funded by Ministry of Internal Affairs and Communications and Dynamic Networking project - sponsored by JSPS. He is currently leading two other national projects. Besides that, in 2006, the proposed idea of his research group on Mobile IPv6 was approved and standardized by IETF.
He has been engaged in research related to Symbiotic Computing paradigms between human and information technology, and distributed processing systems and flexible intelligent networks.
He has proposed a new concept of Flexible Computing and
still working in this direction. His recent research interest is in Ubiquitous
and Symbiosis computing. He has published more than 15 books and over
400 refereed papers in computer science and related fields. He was the
recipient of IPSJ Memorial Prize Wining paper award in 1985,
Telecommunication Advancement Foundation Incorporation Award in 1991, Best
Paper Award of ICOIN-9 in 1994, IPSJ Best Paper Award in 1997, and many
others including the most recent Outstanding Paper Award of UIC-07 in 2007.
Towards Symbiosis Information Society
- Bridging the gap between human and computer -
Economic super cycles, also known as `Kondratiev waves' are closely related to the innovation of new technologies and its wide spread applications. If we follow the time span of this cycle the next peak is expected to arrive around 2025. With the advancement of computer and communication technologies a transformation from the current information society to a new society can be perceived - which we named as `Symbiosis Information Society'. As it is always observed that the invention of new technologies has made a huge impact on our life-style and society. With its various advantages and conveniences it brings inconveniences and social imbalance. The gap between human and computer or technology as a whole becomes wider, especially to a particular group of people who can not catch up and adopt to the new technologies.
To overcome these problems and to bridge the gap between human and computer we are pursuing research on Symbiotic Computing dated back to 1994. We also define the concept of traditional ubiquitous computing environment with two computing aspects: Mobile computing and Pervasive computing. Now, to define advance ubiquitous computing, foreseeing the situation around 2025, we integrated two computing axes: traditional ubiquitous computing and web computing. The advance ubiquitous computing is expected to contribute and enhance the Information technology environment. But as it is mentioned earlier that a gap can be created between human and computer due to the advancement of technologies, we need to address this problem and we came up with the concept of a new third axis to define a new value. By integrating the existing two axes and the third new axis a new paradigm called Symbiotic Computing is created. Based on this novel idea we can realize a Symbiosis Information Society where human and computer can comfortably coexists which will be beneficial for both.
Daming
Wei graduated from Department
of Mathematics and Mechanics, Tsinghua University, Beijing, 1970. He received
the M. Eng. in Computer Engineering from Shanghai University, and Ph.D. in
Biomedical Engineering from Zhejiang University. He is the first person who
receives a Ph.D. in Biomedical Engineering in mainland China.
He was a deputy director of the Biomedical Engineering Section in Zhejiang University before joined Tokyo Institute of Technology in 1986. Since then, he has been with industry and universities in Japan. He is currently professor of Biomedical Information Technology Lab at faculty of Computer Science and Engineering. He served as Director of Software Department, Chair of Graduate Department of Information system, and Director of Information Systems and Technology Center (ISTC) at the University of Aizu, Japan in past years. He has guest professorship at several universities in Japan and China.
Prof. Wei is well known for state-of-the-art computer heart model (the Wei-Harumi model) and simulation of electrocardiogram. His recent research focuses on information technology for biomedicine. He is author or co-author of more than 200 scientific papers in journals or proceedings. He is also author of several books or book chapters. He is inventor of more than 20 Japan and US patents, filed or pending. He is leader of several large-scale research projects supported by Japanese Central or prefecture government research funds focused on information technology on healthcare.
Prof. Wei serves as a council member of the International Society of Bioelectromagnetism, editor of the International Journal of Bioelectromegnetism, International Journal of Bioinformatics and Applications. He is a council member of Japan Biomedical Engineering Society Tohoku Branch. He is founder and of IEEE International Conference on Computer and Information Technology (IEEE CIT), and at present serves steering chair.
He is founder and CEO of QRS Corporation Japan (a university
start-up venture company).
Computer Simulation for Catheter-based Electrophysiology Study:
A Virtual Reality Environment Based on Whole-heart model
Daming Wei
Lab of Biomedical Information Technology, School of Computer Science and Engineering, University of Aizu, Japan
Abstract
Recent years, catheter-based Electrophysiology Study (EPS) has been one of the most important means to quantitatively evaluate the electrophysiological condition of the heart. It is, however, usually difficult to master the EPS technique for beginners because it needs not only manipulation skill but also deep understanding of electrophysiology.
We have been conducting studies on whole-heart modeling and computer simulation of electrocardiograms (ECG) for long [1, 2, 3]. Recently, we make extension of our model and simulation algorithms so that the intracardiac ECG potentials can be simulated and used to compare with clinical catheter-based EPS. We are further developing a virtual reality that links a catheter emulator to our ECG simulation system for training and other usages.
This speech will first gives a survey on the current trend in study of Physiome, especially on modeling of heart through a introductory description on progess, principle and applications in whole-heart modeling. We then present an introductory description on a recent work in our lab aimed at computer simulation of catheter-based electrophysiology study (EPS). We first summarize our previous study based on a state-of-the-art model of the heart for computer simulation of body surface electrocardiograms (ECG), giving a latest example in simulation of Brugada syndrome, which is discovered recent years and not fully understood in its mechanism. We introduce main extensions to the whole-heart model for computer simulation of catheter-based EPS based on clinical standard protocols. This may be the first report in model study and computer simulation aimed at catheter-based EPS. In the later section, we introduce a development of virtual reality, called virtual EP Lab, which includes software to simulate the catheter-based environment, including a virtual X-way Imaging technique, a physics-based computer animation to mimic the catheter operation. The virtual environment for the EPS, called the virtual EPlab, may be useful in the future for the purposes of basic studies in EPS, catheter ablation planning, and medical training.
Pau-Choo (Julia) Chung received the B.S. and M.S. degrees in electrical engineering from National Cheng Kung University (NCKU), Taiwan, in 1981 and 1983, respectively, and the Ph.D. degree in electrical engineering from Texas Tech University, USA, in 1991. She then joined the Department of Electrical Engineering, National Cheng Kung University (NCKU), Taiwan, and has become a full professor since 1996. She served as the Vice Director, and then the Director, of the Center for Research of E-life Digital Technology, NCKU during 2001-2008. She was also the Director of Electrical Laboratory, NCKU in 2005-2008. She was selected as Distinguished Professor of NCKU in 2005. Currently she is the Director of Institute of Computer and Communication Engineering, NCKU, Taiwan.
Dr. Chung’s research interests include image analysis and pattern recognition, computer vision, video image processing/analysis, neural networks, telemedicine, and multimedia processing. Particularly she applies most of her research results on medical applications, such as for medical image analysis, broadband telemedicine, pervasive home care, and multimedia-based behavior analysis for health care. She received many awards, such as the annual best paper award in Chinese Journal Radiology 2001, the best paper awards from World Multiconference on Systemics, Cybernetics, and Informatics (SCI) 2001 and International Computer Symposium (ICS) 1998, Acer’s Best Research Award in 1994 and 1995, the best paper awards from the Conference of Computer Vision, Graphics, and Image Processing (CVGIP), in 1993, 1996, 1997, 1999, and 2001, Best Research Young Innovator Award of National Science Council, Taiwan, in 1999. Dr. Chung has served as the program committee member in many international conferences. She is a member of the IEEE Life Science Systems and Applications Technical Committee, the IEEE Visual Signal Processing and Communication Technical Committee, the IEEE Neural Systems and Applications Technical Committee, and the Multimedia Systems & Applications Technical Committee in the CASS. Currently she is also serving as the Associate Editor of Journal of Information Science and Engineering, the Guest Editor of Journal of High Speed Network, the Guest Editor of IEEE Transactions on Circuits and Systems-I, a Member on IEEE International Steering Committee, IEEE Asian Pacific Conference on Circuits and Systems. She was the Chair of IEEE Computational Intelligence Society, Tainan Chapter (2005-2006), and the Secretary General of Biomedical Engineering Society of the Republic of China (2005-2006). She is currently a member in BoG of CAS Society (2007-2009).
She is a member of Phi Tau Phi honor society and IEEE Fellow.
Pervasive Care and Video Analysis
With the increasing of the aging population, health care is attracting our attention in the technology development. In this talk, pervasive care combining information technology and video analysis will be introduced.
Video analysis has been significantly applied to surveillance. However it is relatively unexplored for the application to health care. In this talk some examples of video analysis for health care will be presented. These examples include (a) Interaction-based Hidden Markov Model for the analysis of the human interaction in a care center, (b) the detection and tracking of wheel chairs through the 3D circular orientation and hierarchical boost tree, and (c) walking stride analysis from a calibration-embedded aspect ratio. For health care concern, people having the needs of special assistance usually require extensive attention so as to reduce the accidence. Thus using video analysis for the detection of the critical situations for delivering the special assistance in time is essential to the application of video in health care.
When mental care is gaining more significance, we will also present the research of emotion understanding from physiological signals. How the physiological signals can be processed, segmented and discovered to find the essential element – coherent feature for emotion classification will also be introduced.
Satoru
Miyano, Ph.D., is a Professor of Human Genome Center, Institute of Medical
Science, University of Tokyo. He received the B.S., M.S. and Ph.D. all in
Mathematics from Kyushu University, Japan, in 1977, 1979 and 1984,
respectively. His research area is Computational Systems Biology. His group
has been developing computational methods for mining gene networks from
microarray gene expression data and other biological data. The group also has
been developing a software tool Cell Illustrator for modeling and simulation of
various biological systems. He is on the Editorial Board of PLoS Computational
Biology, Bioinformatics, Journal of Bioinformatics and Computational Biology,
IEEE/ACM Transactions on Computational Biology and Bioinformatics, Lecture Notes
in Bioinformatics, Theoretical Computer Science, the Chief Editor of Genome
Informatics, etc. He also served on the Board of Directors of the International
Society for Computational Biology (2004-2007), the President of Japanese Society
for Bioinformatics (JSBi) (2002-2004), and he is the founding first president of
the Asian Association of Societies for Bioinformatics (AASBi).
Computational Drug Target Pathway Discovery
Satoru Miyano
Human Genome Center, Institute of Medical Science, University of Tokyo
miyano@ims.u-tokyo.ac.jp
This talk consists of two parts: the first is on computational and experimental strategy for searching drug target pathways and the second is on a software tool Cell Illustrator that assists computational analysis of biological pathways. The first part is on a series of computational methods based on Bayesian networks and nonparametric regression for mining gene networks from microarray gene expression data. These computational methods for computing gene networks were applied for searching drug target pathways. For a given drug, our strategy assumes two kinds of microarray gene expression data: One is time-course gene expression data for the drug responses. The other is a set of gene expression data obtained by knock-downs of several hundreds of carefully selected genes (one knock-down for each microarray measurement). We prepared more than 350 novel gene knock-downs for HUVEC by using siRNA and some time-course drug response gene expression data. From these data, we computed gene networks of 1000 genes by intensively using the supercomputer system at our Human Genome Center of University of Tokyo. We show how we can explore these computed networks for analyzing dynamic features of the networks and for searching drug target genes and hubs in the networks. The second part is on a software tool Cell Illustrator (CI) that was used for analyzing these gene networks. Cell Illustrator was developed to model and simulate complex dynamic causal interactions and processes such as metabolic pathways, signal transduction cascades, gene regulations. For this tool, we developed an XML format Cell System Markup Language CSML (http://www.csml.org/) for describing biological systems with dynamics and ontology (Cell System Ontology). In 2008, we released a Java web start software Cell Illustrator Online 4.0 (CIO) (http://cionline.hgc.jp/) combined with CSML databases including TRANSPATH that has more sophisticated GUI functions including automatic pathway layout algorithms using ontology information.
Short Vitae
Stanislav V. Klimenko is currently Director of The Institute of Computing for Physics and Technology, full professor and chairman of System Integration and Management at Moscow Institute of Physics and Technology (State University) (MIPT). Recently he was a principal scientist at the Institute for High Energy Physics (IHEP, Protvino), and a principal scientist at the Space Research Institute of Russian Academy of Science (Moscow).
His research interests include Scienti_c Visualization, Virtual Environments, and Data Analysis. Klimenko received degrees: MS _ at Moscow Institute of Physics and Technology in 1966, PhD (Candidate of Phys-Math Sci) _ at IHEP in 1974, and Doctor of Physics-Mathematics Science _ at IHEP in 1986. He was elected as Professor of Computer Science at MIPT in 1992. Stanislav Klimenko was a member of International Program Committee of several conferences Visualization'xx, Eurographics'xx, and CyberWorlds'xx, he was also Chair of Program Committee of GraphiCon'xx. He collaborated with scientists at Fraunhofer Institute Medienkommunikation (Sankt Augustin, Germany), Arizona State University (Tempe, USA), University of Kaiserslautern (Germany), University ofWest Bohemia (Plzen, Czech Republic), Nanyang Technological University (Singapore), and Tamkang University (Tamsui, Taiwan).
Klimenko is on the editorial board of _Computer & Graphics_, The International Journal of Virtual Reality and of Russian Journal _Programming_. He is a senior member of the IEEE, and a member of the ACM and AMS. Klimenko often serves as an expert to be on Russian and European level committees dealing with Information Technology. He has guided a number of doctoral students in the _elds of Computer Science and Physics.
He was a director of several successively completed international projects, supported by INTAS, Ministry of Science and Technology of Russian Federation and Russian Foundation of Basic Research. He received USSR Council of Ministers Award on Science and Technology in 1984.
He has lectured and published on the di_erent topics of Data Analysis and Visualization in Virtual Environments.
Virtual Environment, Neogeography and Oracle Spatial in Integrated Emergency Management
for Prevention, Preparedness, Response and Recovery
Prof.Dr. Stanislav Klimenko
Moscow Institute of Physics and Technology (State University), Russia
Abstract
Emergency management issues are constantly being improved by applying new technologies. Reliable, up-to-date and clear information is crucial for the success of an emergency response. Therefore information technologies are widely used during the emergency preparedness, response and recovery phases. In particular, visualization and virtual environment technologies have progressed rapidly in the last few years what opens up a new way for information representation. Counter-terrorism has become one of the major tasks of emergency management after the tragic events of 9/11. At the same time, September 11th demonstrated the crucial role of visualization in emergency response activities. The goal of this talk is to describe briefly the integration of relevant technology (Virtual Environment, Neogeography, Serious Games, Grid, Semantic Web, Oracle Spatial) for solving issues of emergency prevention, respond and recovery using Decision Theater's approach. Our approach directs to: improve methods for integrated management and policy decisions; facilitate access to large volumes of related information; reduce the time consume to make decisions; improve the ability to study multiple alternative scenarios and enhance interest in the situation analysis domain; involvement of a larger number of participants in the decision-making process. In this talk we review the general scheme of analysis and action that includes: identifying problems and setting goals; formation scenarios, selection of evaluation criteria; an assessment, probabilities and risks analysis; choosing the optimum solutions; realization solutions, the selection criteria for monitoring; final evaluation results.
The proposed solution for identification issue is based on the technology of
virtual storytelling. The proposed solution for scenarios formation built on the
idea of the applicability of virtual multiroles games as a platform for
situation modeling. The proposed approach for assessment and analysis of risk
probabilities include the following phases: baseline analysis of events in which
examines all possible sources of potentially dangerous, leading to accidents
with different consequences; construction accident sequences; definition of
end-states and the consequences for each accident sequence; and proper
quantification of risk and probability of accident sequences. The proposed
approach for selection of optimal solutions is based on the idea of genetic
algorithms as the interface of man-machine environment, the general content of
which is to replace the automatic calculation functions of automatic selection
and implementation crossings and mutations used in genetic algorithms, to
implement these actions person or a group of people (decision makers).
We focus on opportunities that virtual environment open as applied to emergency
management. We analyze application of virtual environment technologies to
simulation and first responders training during the preparedness phase of an
emergency. We discuss mobile augmented reality systems for first responders’
equipment, navigation and 3D geographic information representation,
communication between rescue workers and a control room, damage evaluation and
reconstruction of buildings. To overcome the conventional electronic maps
disadvantages for navigating in search and rescue work we use Neogeography - new
generation of tools and methods of handling with geospatial information. We
select Oracle Spatial as the most advanced platform for integration and
management of spatial data. We explain how mentioned above technologies provide
integrated support for emergency management personnel. Finally, we make some
conclusions about current research in this field, present systems and future
trends.
Keywords: visualization; virtual environment; emergency
management; simulation; decision support; geographic information system;
augmented reality; neogeography
Prof.Dr. Alexander A. Zhdanov
Short Vitae
Alexander A. Zhdanov - Doctor of sciences (Physics and mathematics) is currently Pricipal Researcher of Lebedev Institute of Precision Mechanics and Computer Engineering, Russian Academy of Sciences (IPMCE RAS), full professor of Moscow Institute of Physics and Technology (State University) (MIPT) Department of Radio Engineering and Cybernetics (chair of Electronic Computers, Computer Engineering) and the principal scientist of Institute for system programming of Russian Academy of Sciences. Topics of research interests of Prof.Dr. Zhdanov include Artificial Intelligence, Adaptive Control, Data Analisys, Biological-Inspired Control Systems, and Robotics.
Received degrees are: Engineer of electronics – in 1978 in Kirov Polytechnic Institute (Faculty of automatic, telemechanic and computer sciences), PhD – in 1985 in Pulkovo Astronomical Observatory of Russian Academy of Sciences, Doctor of Physics-Mathematics Science – in 1995 in Computer Centre of Russian Academy of Science. He was elected as Full Professor of Computer Science at MIPT in 2006.
Alexander Zhdanov had positions as following:
- research fellow and senior staff scientist in Kirov Polytechnic Institute in 1978-1981,
- postgraduate in Ioffe Physical-technical Institute of Russian Academy of Sciences in St. Petersburg (Leningrad in those years) in 1981-1984,
- Head of Chair of Computer Sciences in Kirov State Pedagogical Institute in 1987-1989,
- the person working for doctor's degree in Computer Center of Russia Academy of Sciences in 1989-1993,
- Head of Simulation system Department of Institute for system programming of Russia Academy of Sciences in 1995-2007 and
- Chief Researcher of Lebedev Institute of Precision Mechanics and Computer Engineering, Russian Academy of Sciences (IPMCE) in 2007-2008.
Education activity of professor Zhdanov: courses “Pattern Recognition”, “Artificial Neural Networks” and “Control systems” in MIPT, training of bachelors, masters and postgraduates in MIPT and MSU (Moscow State University).
Scientific activity: from 1978 to 1988 – astrophysics, solar
X-rays analysis. From 1989 – adaptive control system theory. Alexander Zhdanov
is the author of biology-inspired method of Autonomous Adaptive Control (AAC)
and a series of its applications. List of Zhdanov references has 110
publications. In 2008 monograph “Autonomous Artificial Intelligence” (in
Russian) was published. Scientific seminar “Methods of adaptive control”.
Machines with Autonomous Artificial Intelligence
Professor Alexander A. Zhdanov
Lebedev Institute of Precision Mechanics and Computer Engineering, Russia
Abstract
Modern science is more and more close in revelation of lots of secrets of Nature. One of the most Nature secrets is the working principle of the natural control systems - nervous system and brain. Even best artificial intelligence (AI) systems cannot work similar to natural nervous systems. The reason is as following - working principles of modern AI system are not similar to working principles of nervous systems. AI systems can do only simulation final results of nervous systems activity. The most important feature of natural nervous systems is ability to self-learning in real time. Another one is ability to solve tasks of different types in one nervous system.
In our paper we describe our model of nervous system we develop during many
years. The model gives a universal way to creation of self-learning control
systems for different application systems. It is similar to situation when
different creatures have nervous system the same type. We named this type
application system and machines Autonomous Artificial Intelligence (AAI) systems
and machines. The main feature of the systems is their ability to self-learning
and re-learning during the control process. In framework of AAI control system
we investigate and give solving for such problems as AI architectures and
applications, automated reasoning, knowledge representation, machine learning,
pattern recognition, reasoning, robotics, speech recognition and synthesis,
mobile intelligence, artificial neural networks, fuzzy systems, hybrid systems,
intelligent e-learning, knowledge-based systems, planning, problem solving and
search and some others. A few examples of the AAI application systems will be
presented.
Ultrafast Computing Architectures and Algorithms for Pattern
Recognition and Tracking
(Keynote Address)
Dr. Mohammad S. Alam, Fellow - OSA, SPIE and IET (UK)
Professor and Chair
Department of Electrical and Computer Engineering
University of South Alabama, Mobile, AL 36688, USA
Abstract
Pattern recognition deals with the detection and
identification of a target or targets in an unknown input scene which may or may
not contain targets, and the determination of the spatial location of the
targets when present. Optoelectronic pattern recognition involves the use of
either a matched filter based correlator or a joint transform correlator (JTC).
A matched filter based correlator is not suitable for real-time operation since
a complex filter must be fabricated for each new target. On the other hand, a
JTC is inherently suitable for real time matching and tracking operations since
no complex filter is needed. In this paper, the author will discuss a recently
proposed technique, called fringe-adjusted JTC, which is found to yield the best
correlation output compared to alternate JTCs. Various architectures, algorithms
and implementation issues will be discussed for distortion invariant pattern
recognition and tracking in input scenes corrupted by noise or other artifacts.
Techniques for eliminating false target detection, suppressing the zero-order
term, and minimizing noise effects will be considered. The proposed technique
can be effectively used for various practical applications such as character
recognition, face recognition, finger print identification, as well as pattern
recognition and tracking.