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Program:
Click
HERE
for program timetable (Final Version).
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Keynote Presentation:
Keynote 1: Grid Computing: Opportunities for Bioinformatics Research
Professor Albert Zomaya
University of Sydney, Australia
ALBERT Y. ZOMAYA is currently the CISCO Systems Chair Professor of Internetworking in the School of Information Technologies, The University of Sydney. He also serves as Deputy-Director (Information Technology) for the Sydney University Biological Informatics and Technology Centre (SUBIT) and heads the .Advanced Networks Research Group. which comprises more than 40 people, including academics, research staff, postgraduates, visitors, and affiliates. Prior to his current appointment he was a Full Professor in the Electrical and Electronic Engineering Department at the University of Western Australia, where he also led the Parallel Computing Research Laboratory during the period 1990-2002. He served as Associate-, Deputy-, and Acting-Head in the same department, and held visiting positions at Waterloo University and the University of Missouri-Rolla.
He is the author/co-author of 6 books, 200 publications in technical journals and conferences, and the editor of 7 books and 7 conference volumes. He is currently an associate editor for the Int. J. of Bioinformatics Research and Applications, J. of Interconnection Networks, Int. J. of High Performance Computing and Networking, J. of Future Generation of Computer Systems, Int. J. of Foundations of Computer Science, Int. J. of Distributed Sensor Networks, Int. J. of Wireless and Mobile Computing, Int. J. of Grid and Utility Computing, and the Int. J. of Computers and Applications. He previously served on the editorial boards IEEE Trans. on Parallel and Distributed Systems (.98-.01), IEEE Trans. on Systems, Man, and Cybernetics (Parts A.C) (.97-.00), J. of Parallel Algorithms and Applications (.96-.00), J. on Parallel and Distributed Systems and Networks (.96-.02), the Int J. in Computer Simulation (.93-.98), and the IFAC J. of Control Engineering Practice (.93-.96). He is also the Founding Editor of the Wiley Book Series on Parallel and Distributed Computing. He is the Editor-in-Chief of the Parallel and Distributed Computing Handbook (McGraw-Hill, 1996).
Professor Zomaya was the Chair the IEEE Technical Committee on Parallel Processing (.99-.03) and currently serves on its executive committee. He is also a board member of the IFAC committee on Algorithms and Architectures for Real-Time Control, and serves on the executive board of the IEEE Task Force on Cluster Computing. He has been actively involved in the organization of national and international conferences. He received the 1997 Edgeworth David Medal from the Royal Society of New South Wales for outstanding contributions to Australian Science. In September 2000 he was awarded the IEEE Computer Society's Meritorious Service Award.
Professor Zomaya is a chartered engineer (CEng), a Fellow of the IEEE, a Fellow of the Institution of Electrical Engineers (U.K.), and member of the ACM. He also serves on the boards of two startup companies. His research interests are in the areas of high performance computing, parallel algorithms, bioinformatics, mobile computing, and networking.
Abstract: Over the past few years the popularity of the Internet has been growing by
leaps and bounds. However, there comes a time in the life of a technology,
as it matures, where questions about its future need to be answered. The
Internet is no exception to this case. Often called the .next big
thing. in global Internet technology, Grid computing is viewed as one of
the top candidates that can shape the future of the Internet. Grid
Computing takes collective advantage of the vast improvements in
microprocessor speeds, optical communications, raw storage capacity, World
Wide Web and the Internet that have occurred over the last five
years. Grid technology leverages existing resources and delays the need to
purchase new infrastructure. With demand for computer power in industries
like the life sciences and health informatics almost unlimited, Grid.s
ability to deliver greater power at less cost gives the technology
tremendous potential. Ultimately the Grid must be evaluated in terms of
the applications, business value, and scientific results that it delivers,
not its architecture. Biology provides some of the most important, as well
as most complex, scientific challenges of our times. These problems
include understanding the human genome, discovering the structure and
functions of the proteins that the genes encode, and using this
information efficiently for drug design. Most of these problems are
extremely intensive from a computational perspective. One of the principal
design goals for the Grid framework is the effective logical separation of
the complexities of programming a massively parallel machine from the
complexities of bioinformatics computations through the definition of
appropriate interfaces. Encapsulation of the semantics of the
bioinformatics computations methodologies means that the application can
track the evolution of the machine architecture and explorations of
various parallel decomposition schemes can take place with minimal
intervention from the domain experts or the end users. For example,
understanding the physical basis of protein function is a central
objective of molecular biology. Proteins function through internal motion
and interaction with their environment. An understanding of protein motion
at the atomic level has been pursued since the earliest simulations of
their dynamics. When simulations can connect to experimental results, the
microscopic examinations of the different processes (via
simulation) acquire more credibility and the simulation results can then
help interpret the experimental data. Improvements in computational power
and simulation methods facilitated by the Grid framework could to lead to
important progress in studies of protein structure, thermodynamics, and
kinetics. This talk will overview the state of play and show how the Grid
can change the competitive landscape.
Keynote 2: Trust and Reputation in the Networked Economy
Professor Tharam S. Dillon
University of Technology Sydney, Australia
FIEEE, FIEAust, FACS
Abstract: Trust and trustworthiness plays a major role in conducting business on the Internet in service-oriented environments. In defining Trust for service-oriented environments, one needs to capture the notation of service level, service agreement, context and timeslots. The same applies for reputation which is the opinion of the third party agents which is used in determining the trust and trustworthiness. Because of the complexity of the issues, and the fact that the Trust and Reputation are essentially concerns with the relationships, it is important to clearly define the notion of the trust relationships and notion of the reputation relationships.
Keynote 3: Digital Inpainting
Professor Timothy K. Shih
Tamkang University, Taiwan
SMIEEE,
Associate Editor of IEEE Transactions on
Multimedia, Associate Editor of ACM Transactions on Internet Technology,
and Co-Editor-in-Chief of the International Journal of Distance Education
Technologies
Abstract: Digital inpainting uses spatial or frequency information
to restore partially damaged/removed photos and artworks.
Digital image inpainting is an interesting new research topic in
multimedia computing and image processing since 2000.
This talk will cover the most recent contributions in digital image
inpainting and image completion, as well as concepts in video inpainting.
In addition to a quick survey, the presentation will cover several
algorithms. Most restoration algorithms consider a picture as a single layer.
The talk will cover a new approach, which divides a Chinese painting
into several layers. Each layer is inpainted separately.
A layer fusion mechanism then finds the optimal inpaint among layers,
which are restored layer-by-layer. We apply the algorithm on Chinese
and western drawing. The result shows a high PSNR value as well as
a high user satisfaction. The demonstration of our work is available
at: http://www.mine.tku.edu.tw/demos/inpaint.
Keynote 4: Can Parallel Software Catch up with Parallel Hardware?
-- Trends in Automatic Parallelization
Professor Minyi Guo
University of Aizu, Japan
Edotor of International Journal of High Performance Computing and Networking,
Journal of Embedded Computing,
Journal of Computational Science and Engineering,
and International Journal of Computer and Applications.
Abstract: Supercomputers have to be proved powerful for various fields including the development of advanced technologies such as large-scale scientific and engineering computing, new material manufacture, nuclear fusion simulation, and automotive design. On October 20, 2004, NEC Corporation announced the availability of the their new supercomputer .SX-8., the world.s most powerful vector supercomputer with a peak processing performance of 65TFLOPS. In last few years, the hardware of supercomputers has undergone rapid development . from Earth simulator to SX-8, only goes through 3 years . the peak performance of SX-8 exceeds 1.8 times over Earth Simulator.
However, the parallel software . especially parallel programming tools . is still underdevelopment. We still use MPI, High Performance Fortran and OpenMP mostly for our parallel programming tasks. In fact, these languages and libraries are difficult to use for most of scientific and engineering users.
In this talk, we will outlook the some of the existing parallel language and automatic parallelization tools and also, we will address the potential technologies of automatic prallelization. Finally, we summarize how parallel software to make effort to catch up with the development of supercomputer hardware.
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Special
Sessions:
Session 1: Agents,
Datamining and Ontology -- ADO'05
Chairs:
Dr Joan Lu
University of Huddersfield, UK
Email: j.lu@hud.ac.uk
Professor Dra. Carmen Costilla
Technical University of
Madrid, Spain
Email: costilla@dit.upm.es
Tutorials:
Tutorial 1:
Techniques and Schemes for Reliable and Secured Information Transport over Networks
Abstract:
How reliably and securely the information will be transferred over networks will be the crucial factor for the information age to flourish. With the volume of network traffic increasing leaps and bounds in pace with the exponentially increased number of users, the major challenge will be to transport information with guaranteed reliability and security. While the reliability will revolve around the techniques of ARQs for error control, the security will evolve around encryption/keying techniques. All wireless networks will make the reliable issue a major problem to reckon with, while increasingly wider application of IT will result the problem of security to rise. Thus there is need to intense investigation in these areas. The tutorial will discuss and review the existing techniques of ARQs and Crypto Systems, and thereafter will highlights the possible areas of research and investigation on these fields.
Chair:
Prof Chandan Tilak Bhunia
Department of Computer Science & Engineering
Deemed University, India
Email: ctbhunia@vsnl.com
Prof C T Bhunia (born 6/10/1958) did his B Tech in Radio Physics and
Electronics
in 1983 from the Calcutta University, and then joined DVC of Govt. of India as
Telecommunication Engineer. He did M Tech in Radio Physics and Electronics
in 1985, and then joined North Bengal University as a Lecturer of Computer
Science & Application in 1988, and become Assistant Professor of Electronics
& Communication Engineering at the North Eastern Regional Institute of Science
& Technology(NERIST) of Govt of India in 1990. He got Ph D in Computer
Science & Engineering from the Jadavpur University. He became a full Professor
in 1997 at NERIST where he was Head of Department of Electronics
& Communication Engineering and that of the department of Computer Science
& Engineering for about 6 yrs and Dean(Academics/Post Graduate Studies)
for about 1.5 years. Lastly he was Director of the Bengal Institute of Technology
& Management, Shantineketan. Presently he is a full Professor of Computer
Science & Engineering of the Indian School of Mines (Deemed University) of
Govt of India. He has been nominated as ISTE Visiting Professor for 2004-2005.
He has been selected for Rashtriya Gaurav Award for 2004 by the
India International Friendship Society in 2004. He has extensively visited
foreign countries, namely China, Italy, Singapore, UK and Bangladesh on
several assignments including BOYSCAST Fellowship. He has published
around 150 research papers and technical articles/reports in
national/international journals/magazines/seminars. He is the author of
the book 'Introduction to Knowledge Management'. He has delivered
several invited lecturers at ICTP, Italy, Bengal Engineering College
(Deemed University), Shibpur, and University Institute of Technology,
Burdwan University. He is Fellow of the IETE and the IE(I), and a senior
member of the IEEE.
Tutorial 2:
A Survey of Next Generation Networks
Abstract:
In the near future, the public switched telephone network (PSTN), wireless
network (e.g. GSM, UMTS) and the packet switched data networks will
converge into a common packet based network called Next Generation Networks
(NGN). This converged network is expected to provide users with secure and
ubiquitous access to innovative applications and services using a host of
new technologies and user terminals with high level intelligence. NGN are
thus expected to provide a unified and secure communication network through
which users in urban and rural areas will have equitable access to
resources and information.
This tutorial will focus on the current state and advances in the area of
NGN. Topics include evolution, characteristics, capabilities, requirements,
standards, architecture, reference points, protocols, services, SLA,
addressing, routing, QoS, APIs, network management, security, mobility
management, location management, name resolution, interoperability,
identity management, field trials, etc.
Chair:
Dr K. Sandrasegaran
Institute for Information and Communication Technologies
University of Technology, Sydney
Fax: +61-2-9514 2435
Email: kumbes@eng.uts.edu.au
Dr K. Sandrasegaran holds a PhD in Electrical Engineering from McGill
University (Canada)(1994), a Masters of Science Degree in Telecommunication
Engineering and Information Systems from Essex University (UK)(1988) and a
Bachelor of Science (Honours) Degree in Electrical Engineering (First
Class)(1985). He was a recipient of the Canadian Commonwealth Fellowship
(1990-1994) and British Council Scholarship (1987-1988). Dr Sandrasegaran is
a Professional Engineer (Pr.Eng)(ECSA) and has more than 20 years experience
working either as a practioner, researcher, consultant and educator in
telecommunication networks. During this time, he has focussed on the
planning, optimization, forecasting, security, and network management of
telecommunication and data networks. At present, Sandy is a Program Head of
Telecommunication Engineering and at the Faculty of Engineering, University
of Technology Sydney (UTS). Prior to joining UTS, he worked at Massey
University (New Zealand)(1998-99) and University of Durban (South
Africa)(1995-1998).
Tutorial 3:
Data Mining: Manufacturing and Service Applications
Abstract:
Basic concepts of machine learning and data mining are introduced. Machine learning algorithms extract meaningful relationships from data used to build autonomous systems. For example, based on the prior engineering data, equipment faults can detected, the number of items to be ordered can be predicted, optimal control parameters can be determined. In pharmaceutical applications, the new knowledge can be applied for customized drug labeling, predicting adverse drug reactions, and to increase understanding of genetic data to benefit the drug development.
Medicine is awaiting clinical applications of data mining in disease diagnosis, treatment selection, and genetic-driven therapies. Numerous examples of industrial, medical, and pharmaceutical applications will be discussed in the tutorial.
Defining attributes for which the data should be collected has not been sufficiently addressed in the literature. Yet, this issue is of paramount importance as the interest in intelligent systems is growing. Data farming deals with the process and methods of determining the most appropriate attributes for data collection and subsequent data analysis. Data farming methods and their relationship with data mining are discussed.
The data farming and data mining algorithms are illustrated with manufacturing and service case studies.
Learning Objectives:
Learn the value of data
Learn principles of data mining methods
Recognize differences between data mining and statistical analysis methods
Become familiar with selected data mining algorithms
Understand principles of on-line-analytical processing
Become introduced to advantages and potential pitfalls of data warehousing
Recognize the need for data farming
Recognize importance of data and knowledge visualization
Learn benefits of data mining based on diverse case studies
Chair:
Professor Andrew Kusiak
Intelligent Systems Laboratory
The University of Iowa, USA
Fax: +1-319-335 5669
Email: andrew-kusiak@uiowa.edu
Dr. Andrew Kusiak is a Professor in the Department of Mechanical and Industrial Engineering at the University of Iowa in Iowa City, Iowa. He is interested in applications of computational intelligence in automation, manufacturing, pharmaceutical industry, and healthcare. Dr. Kusiak has published books and technical papers in journals sponsored by professional societies, such as AAAI, ASME, IEEE, IIE, ESOR, IFIP, IFAC, INFORMS, ISPE, and SME. He speaks frequently at international meetings, conducts professional seminars, and consults for industrial corporations. Dr. Kusiak serves on editorial boards of numerous journals, edits book series, is the Editor-in-Chief of the Journal of Intelligent Manufacturing.
Tutorial 4:
Multi-lingual Ontology based metadata point of views of Cultural Archives
Abstract:
The tutorial will introduce multi-lingual Ontology based metadata point
of views of Cultural Archives. It is based on five basic dimensions (e.g.
Why, How, When, Where, What, Who) and goal-based topics (e.g. Everyday,
Emergency, Business, Education, Environment, Government, Health, Legal,
Leisure and Religion). Case study from the digital silk Roads project
will be used.
Chair:
Associate Professor Frederic Andres
Research Organisation for Information Systems
National Institute of Informatics
University of Advanced Studies
Japan
Email: andres@nii.ac.jp
Frederic Andres has been an Associate Professor at National Institute of
Informatics (NII) since 2000 and at The Graduate University for Advanced
Studies since 2002.
He received is his Ph.D. from University of PARIS VI and his HDR from
University
of Nantes, in 1993 and 2000 respectively.
His research interests include distributed semantic information management for
Geomedia and Cultural applications.
He was scientist at Bull (France) from 1989 to 1993, system architect at
Ifatec/Euriware (France) between 1993 and 1994. He is in charge of the Geomedia
project and the cooperative myscoper project.
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Events:
Sydney Harbour Dining Cruise(Time: 19:00-23:00, Tuesday, 5 July, 2005)
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Paper Presentation Template:
Regular Paper
All regular papers
will be presented in Oral Sessions. Each presentation will be 20
minutes long. Presentation time is critical. We recommend that
presentation of your slides should take about 15-17 minutes,
leaving 3-5 minutes for introduction, summary, and questions from
the audience. A computer-driven slideshow for use with a data
projector is recommended for your talk at ICITA2005. All
presentation rooms will be equipped with a data projector and an
overhead projector. Authors who will be presenting papers are
expected to introduce themselves to the chair of the session about
5 minutes before the session starts.
All poster papers will
be presented in Poster Sessions. Poster sessions are a good medium
for authors to present papers and meet with interested attendees
for in-depth technical discussions. In addition, attendees find
the poster sessions a good way to sample many papers in parallel
sessions. Thus it is important that you display your message
clearly and noticeably to attract people who might have an
interest in your paper. Your poster should cover the key points of
your work. It need not, and should not,attempt to include all the
details; you can describe them in person to people who are
interested. The ideal poster is designed to attract attention,
provide a brief overview of your work, and initiate discussion.
Prepare a short presentation of about 5 or 10 minutes that you can
periodically give to those assembled around your poster throughout
the poster session. For your poster, a board will be provided
which measures 120cm tall by 90cm wide (portrait
orientation).Authors of these papers are expected to bring with
them to the conference printed pages describing their paper. These
pages will be pinned to presentation boards during the Poster
Sessions. Please use large fonts so that the paper can be
read from about 1.5 meter distance. Any reasonable typesetting
format is acceptable. Authors of poster papers are expected
to be present during these sessions to answer any questions that
readers might have.
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