Dr. Hamid R.
Dr. Roger Y.
Dr. Sankar K.
Dr. Saman K.
Dr. Hamid R. Arabnia,
The University of Georgia, USA
A Reconfigurable Network Topology for Medical Imaging
Inherent limitations on the computational power of sequential uniprocessor
systems have lead to the development of parallel multiprocessor systems.
The two major issues in the formulation and design of parallel multiprocessor
systems are algorithm design and architecture design. The parallel multiprocessor
systems should be so designed so as to facilitate the design and implementation
of the efficient parallel algorithms that exploit optimally the capabilities
of the system. From an architectural point of view, the system should
have low hardware complexity, be capable of being built of components
that can be easily replicated, should exhibit desirable cost-performance
characteristics, be cost effective and exhibit good scalability in terms
of hardware complexity and cost with increasing problem size. In distributed
memory multiprocessor systems, the processing elements can be considered
to be nodes that are connected together via an interconnection network.
In order to facilitate algorithm and architecture design, we require that
the interconnection network have a low diameter, the system be symmetric
and each node in the system have low degree of connectivity. Further,
it is also desirable that the system configuration and behavior be amenable
to a suitable and tractable mathematical description. The requirement
of network symmetry ensures that each node in the network is identical
to any other, thereby greatly reducing the architecture and algorithm
design effort. For most symmetric network topologies, however, the requirements
of low degree of connectivity for each node and low network diameter are
often conflicting. Low network diameter often entails that each node in
the network have a high degree of connectivity resulting in a drastic
increase in the number of inter-processor connection links. A low degree
of connectivity on the other hand, results in a high network diameter
which in turn results in high inter-processor communication overhead and
reduced efficiency of parallelism. Reconfigurable networks attempt to
address this tradeoff. In a reconfigurable network each node has a fixed
degree of connectivity irrespective of the network size. The network diameter
is restricted by allowing the network to reconfigure itself into different
configurations. Broadly speaking, a reconfigurable system needs to satisfy
the following criteria in order to be considered practically viable: (a)
In each configuration the nodes in the network should have a fixed degree
of connectivity irrespective of network size, (b) The network diameter
should be kept low via the reconfiguration mechanism and (c) The hardware
for the reconfiguration mechanism (i.e. switch) should be of reasonable
complexity. In this presentation, we discuss our design of a reconfigurable
network topology that is targeted at medical applications. We present
some results and discuss the future roadmap of this project.
About Dr. Hamid R. Arabnia
Hamid R. Arabnia received a Ph.D. degree in Computer
Science from the University of Kent (Canterbury, England) in 1987. In
1987, he worked as a Consultant for Caplin Cybernetics Corporation (London,
England), where he helped in the design of a number of image processing
algorithms that were targeted at a particular parallel machine architecture.
Prof. Arabnia is currently a Full Professor of Computer Science at University
of Georgia (Georgia, USA), where he has been since October 1987. His
research interests include Parallel and distributed processing techniques
and algorithms, interconnection networks, and applications (in particular,
in image processing, medical imaging, and other computational intensive
problems). Prof. Arabnia is the founding chair of WORLDCOMP Congress.
He is Editor-in-Chief of The Journal of Supercomputing (Springer) and
is on the editorial and advisory boards of 17 other journals and magazines.
He is the chair of the world committee of PDPTA (Parallel and Distributed
Processing Techniques and Applications research organization: PDPTA
is composed of 28 task forces with over 2,800 active participants) and
is on the Advisory Board of IEEE Technical Committee on Scalable Computing
Prof. Arabnia is the recipient of William F. Rockwell,
Jr. Medal for promotion of multi-disciplinary research (Rockwell Medal
is International Technology Institute's highest honor). In 2000, Prof.
Arabnia was inducted to the World Level of the Hall of Fame for Engineering,
Science and Technology (The World Level is the highest possible level
for a living person; since 1982, 41 other individuals have been inducted
at this level, including: Allen E. Puckett, CEO of Hughes Aircraft Company;
Dr. Robert C. Seamans, Chairman of the board of trustees of Aerospace
Corp.; Dr. James C. Fletcher, 7th head of NASA; Dr. Ralph E. Gomory,
IBM Director of Research; Dr. Richard M. Cyert, President of Carnegie
Mellon University; Dr. John R. Koza, Stanford University; Dr. George
M. Reed, Oxford University; Dr. Andrew S. Grove, CEO of Intel Corp.;
Dr. Irwin M. Jacobs, CEO of Qualcomm, Inc.; Bill Gates, Chairman of
Microsoft Corp.; see http://www.hofest.org/inductee-wlh.asp for the
complete list) He has received a number of other awards, including,
The Johns Hopkins University National Search in recognition of his contributions
to the national program for enhancing the quality of life for people
with disabilities through the application of computing technology (presented
to him in December 1991 - signatories: co-directors of the National
Search and President of Johns Hopkins U.) In 2006, Prof. Arabnia received
the Distinguished Service Award in recognition and appreciation of his
contributions to the profession of computer science and his assistance
and support to students and scholars from all over the world; this award
was formally presented to him on June 26, 2006 by Professor Barry Vercoe
(Massachusetts Institute of Technology / MIT). Most recently (October
14, 2007), Prof. Arabnia received an "Outstanding Achievement Award
in Recognition of His Leadership and Outstanding Research Contributions
to the Field of Supercomputing". This award was formally presented
to him at Harvard University Medical School (signatories: Lawrence O.
Hall, President of IEEE/SMC; Zhi-Pei Liang, Vice President of IEEE/EMB;
Jack. Y. Yang, General Chair of IEEE BIBE and Harvard University; Mary
Qu Yang, Chair of Steering Committee, IEEE BIBE and NIH). Prof. Arabnia
has published extensively in journals and refereed conference proceedings.
He has over 250 research publications (journals, proceedings, editorship)
in his area of research. Prof. Arabnia has been a Co-PI on $7,139,525
externally funded projects/initiatives (mainly via Yamacraw and includes
significant UGA matching) and on $103,453 internally funded projects
(as of October 2007). He has also contributed projects for justification
for equipment purchase (grant proposals worth over $3 Million - awarded).
Dr. Hsiao-Hwa Chen,
Department of Engineering Science
National Cheng Kung University, Taiwan
The Next Generation CDMA Technologies
Future wireless communication systems should be operating
mainly, if not completely, for burst data services carrying multimedia
traffics. The need to support high-speed burst traffic has already posed
a great challenge to all currently available air-link technologies based
on either TDMA or CDMA. The current CDMA technology has been widely
used in both 2G and 3G mobile cellular standards and it has been suggested
that it is not suitable for high-speed burst-type traffic. There are
many problems with current CDMA technology, such as its low spreading
efficiency, interference-limited capacity and the need for precision
power control, etc. This talk will address various important issues
about the next generation CDMA technologies as a major air-link technology
for futuristic wireless applications. In particular, it will cover two
major topics: why we need the next generation CDMA technologies, and
what is the next generation CDMA technology.
About Dr. Hsiao-Hwa Chen
Hsiao-Hwa Chen is currently a full Professor in Department of Engineering
Science, National Cheng Kung University, Taiwan, and he was the founding
Director of the Institute of Communications Engineering of the National
Sun Yat-Sen University, Taiwan. He received BSc and MSc degrees from Zhejiang
University, China, and PhD degree from University of Oulu, Finland, in
1982, 1985 and 1990, respectively, all in Electrical Engineering. He has
authored or co-authored over 300 technical papers in major international
journals and conferences, five books and several book chapters in the
areas of communications, including the books titled "Next Generation
Wireless Systems and Networks" (512 pages) and "The Next Generation
CDMA Technologies" (468 pages), both published by John Wiley and
Sons in 2005 and 2007, respectively. He has been an active volunteer for
IEEE various technical activities for over 20 years. Currently, he is
serving as the Chair of IEEE ComSoc Radio Communications Committee, and
the Vice Chair of IEEE ComSoc Communications & Information Security
Technical Committee. He served or is serving as symposium chair/co-chair
of many major IEEE conferences, including VTC, ICC, Globecom and WCNC,
etc. He served or is serving as Associate Editor or/and Guest Editor of
numerous important technical journals in communications. He is serving
as the Chief Editor (Asia and Pacific) for Wiley's Wireless Communications
and Mobile Computing (WCMC) Journal and Wiley's International Journal
of Communication Systems, etc. He is the founding Editor-in-Chief of Wiley'
Security and Communication Networks journal (www.interscience.wiley.com/journal/security).
He is also an adjunct Professor of Zhejiang University, China, and Shanghai
Jiao Tong University, China. Professor Chen is a recipient of the Best
Paper Award in IEEE WCNC 2008.
Dr. Roger Y. Lee,
Software Engineering and Information Technology Institute
Computer Science Department
Central Michigan University
Mt. Pleasant, Michigan, U.S.A.
Embedded Software Development with
Model-Driven Architecture (MDA) is currently one of
the most exciting approaches for accelerating code development and improving
the quality of software in complex systems like embedded systems in
ubiquitous era. MDA is an approach to the full lifecycle integration
of enterprise systems comprised of software, hardware, humans, and business
practices. It provides a systematic framework to understand, design,
operate, and evolve all aspects of such enterprise systems, using engineering
methods and tools. MDA utilizes models and a generalized idea of architecture
standards to address integration of enterprise systems in the face of
heterogeneous and evolving technology and embedded business domains.
MDA combines computer-aided verification and machine intelligence during
modeling to discover and remove design bugs before code reviews and
testing. MDA represents an evolutionary step forward from previous development
approaches. It’s built on the solid foundation of well established
standards, including Unified Modeling Language (UML), the ubiquitous
modeling notation used and supported by every major company in the software
industry, and XML Metadata Interchange (XMI), the standard for storing
and exchanging models using XML.
MDA is well-suited for embedded software development because it separates
functional logic from implementation details and with the right MDA
technology, automates the generation and testing of any embedded application
architecture. MDA provides embedded software developers with a fundamentally
different and higher-level way to accommodate changing requirements,
increase reuse and extend system longevity.
In my talks, we will discuss the MDA and will help you understand what
MDA is, how best to adopt it and the benefits it provides when implemented
the embedded software with a model automation and transformation environment.
We will also deliver the advantages of this approach as faster, more
predictable software delivery cycles, minimizing the impact of requirements
changes on development schedules, greater component reuse & implementation
consistency and architectural flexibility and platform independences.
About Dr. Roger Lee
Roger Lee is Director of Software Engineering & Information Technology
Institute and Professor of Computer Science at Central Michigan University,
Mount Pleasant, Michigan, U.S.A. He received his Ph.Ds in Computer Science
from Shizuoka University in Japan and the University of Southern Mississippi
His current research interest areas include Software Engineering, Software
Architecture, Requirements Engineering, and Component-Based Development.
Dr. Lee’s contributions to the field include the establishment of
the International Association for Computer and Information Science (ACIS)
in 1999 and the International Journal of Computer and Information Science
(IJCIS) in 2000.
He is currently serving as CEO of the International Association for Computer
& Information Science (ACIS) and Editor-in-Chief of International
Journal of Computer & Information Science.
He is a member of ACIS, ACM, and IEEE.
Dr. Sankar K. Pal
Director and Distinguished Scientist,
Indian Statistical Institute, India
Machine Intelligence, Computational
Theory of Perception and Rough-Fuzzy Computing
Components of Machine Intelligence and their relation
with Computational Theory of Perception (CTP) is explained. The significance
of fuzzy-granulation in CTP is stated. The role of rough fuzzy computing
in the said framework along with the relevance of integration is explained.
Two examples of such integration are described for problems of clustering
and generating class prototypes. Here rough sets are used for granular
computing using information granules and for uncertainty handling in
defining cluster shapes using lower and upper approximation, whereas
fuzzy sets are used for linguistic representation and fuzzy granulation,
and modeling uncertainty arising from overlapping regions. In effect,
rough-fuzzy clustering provides a balanced compromise between restrictive
(hard) and descriptive (fuzzy) representations of class belonging for
overlapping regions, while rough-fuzzy case generation helps in determining
class prototyped which are efficient in terms of generation time, retrieval
time, classification accuracy and average features required per case
for representation. Merits of rough-fuzzy case generation as knowledge
encoding are demonstrated for multi-spectral image segmentation. Features
and merits of both rough-fuzzy c-means and c-medoids are demonstrated,
with quantitative indices, for segmentation of brain MR images and determining
bio-bases in encoding protein sequence for analysis respectively. The
talk concludes with the possible future uses in data mining and bioinformatics.
About Dr. Sankar K. Pal
He is the Director and a Distinguished Scientist of the Indian Statistical
Institute. He founded the Machine Intelligence Unit, and the Center for
Soft Computing Research: A National Facility in the Institute in Calcutta.
He received a Ph.D. in Radio Physics and Electronics from the University
of Calcutta in 1979, and another Ph.D. in Electrical Engineering along
with DIC from Imperial College, University of London in 1982.
He worked at the University of California, Berkeley and the University
of Maryland, College Park in 1986-87; the NASA Johnson Space Center,
Houston, Texas in 1990-92 & 1994; and in US Naval Research Laboratory,
Washington DC in 2004. Since 1997 he has been serving as a Distinguished
Visitor of IEEE Computer Society (USA) for the Asia-Pacific Region,
and held several visiting positions in Hong Kong and Australian universities.
Prof. Pal is a Fellow of the IEEE, USA, The Academy of Sciences for
the Developing World, Italy, International Association for Pattern recognition,
USA, and all the four National Academies for Science/Engineering in
India. He is a co-author of fourteen books and about three hundred research
publications in the areas of Pattern Recognition and Machine Learning,
Image Processing, Data Mining and Web Intelligence, Soft Computing,
Neural Nets, Genetic Algorithms, Fuzzy Sets, Rough Sets and Bioinformatics.
He has received the 1990 S.S. Bhatnagar Prize (which is the most coveted
award for a scientist in India), and many prestigious awards in India
and abroad including the 1999 G.D. Birla Award, 1998 Om Bhasin Award,
1993 Jawaharlal Nehru Fellowship, 2000 Khwarizmi International Award
from the Islamic Republic of Iran, 2000-2001 FICCI Award, 1993 Vikram
Sarabhai Research Award, 1993 NASA Tech Brief Award (USA), 1994 IEEE
Trans. Neural Networks Outstanding Paper Award (USA), 1995 NASA Patent
Application Award (USA), 1997 IETE-R.L. Wadhwa Gold Medal, the 2001
INSA-S.H. Zaheer Meda, and 2005-06 ISC-P.C. Mahalanobis Birth Centenary
Award (Gold Medal) for Lifetime Achievement.
Prof. Pal is an Associate Editor of IEEE Trans. Pattern Analysis and
Machine Intelligence, IEEE Trans. Neural Networks [1994-98, 2003-2006],
Pattern Recognition Letters, Neurocomputing (1995-2005), Applied Intelligence,
Information Sciences, Fuzzy Sets and Systems, Fundamenta Informaticae,
LNCS Trans. On Rough Sets, Int. J. Computational Intelligence and Applications,
and Proc. INSA-A; a Member, Executive Advisory Editorial Board, IEEE
Trans. Fuzzy Systems, Int. Journal on Image and Graphics, and Int. Journal
of Approximate Reasoning; and a Guest Editor of IEEE Computer.
Dr. Jianhua Ma
Professor, Dept. of Digital Media Science,
Faculty of Computer & Information Sciences, Hosei University
Spacelog Concept and Issues for
Novel u-Services in Smart Spaces
Spacelog is a continuous collection of digital records
on existence states and activity experiences of multiple entities in
a real space or physical environment such as a laboratory, a classroom,
a library, a home, a clinic, a shop, a restaurant, a farmland, or a
construction field. The entities in a space can be people, facilities,
artifacts, and space-related states, e.g., temperature distribution,
air quality, noise level, sound source, etc. This variety of possible
entities in a space marks one essential difference of the spacelog from
the lifelog, which the latter refers specifically to activity records
of a person - single entity. Furthermore, while monitoring cameras are
widely used to record raw video data for security surveillance, the
spacelog is to automatically collect different kinds of data related
to multiple entities via various sensors distributed in a space, and
efficiently keep the data in an integrated database.
That is, spacelog can be regarded conceptually as a special database
of a physical environment to automatically record what occurred inside
the environment. Actually, spacelog can also serve as a context history
database in a smart space system, and function as a “memory organ”
of a smart space.
The spacelog concept, first proposed by us, was motivated by the outcomes
of our three previous research streams: (1) context-aware smart applications,
(2) robot-integrated smart space, and (3) outdoor lifelog analysis.
The spacelog can be exploited to extend functions of physical environments
and provide many novel services, including but not limited to (a) effective
retrievals of past events that happened in a space; (b) systematic summaries
of entities’ experiences which occurred in a specified period;
and (c) automatic detections of important events or changes for prompt
reactions. Furthermore, the intelligent capability of smart spaces/environments
can be greatly enhanced when incorporated with the spacelog, and the
whole individual’s lifelog may be conveniently collected by integrating
spacelogs in different environments the individual has stayed.
This talk will first clarify the spacelog concept from various aspects,
next discuss the related technical issues for making spacelog systems,
then depict the possible novel u-services using spacelog, and finally
show our preliminary study on some specific spacelog system prototypes:
HomeLog and LabLog in the robot-integrated smart environments.
About Dr. Jianhua Ma
Jianhua Ma is a Professor at the Faculty of Computer and Information Sciences
of Hosei University since 2000. Previously, he had 15 years' teaching/research
experience at NUDT, Xidian University and the University of Aizu (Japan).
His research from 1983 to 2003 covered coding techniques for wireless
communications, data/video transmission security, speech recognition and
synthesis, multimedia QoS, 1-to-m HC hyper-interface, graphics rendering
ASIC, e-learning and virtual university, CSCW, multi-agents, Internet
audio and video, mobile web service, P2P network, etc. Since 2003 he has
been devoted to what he called Smart Worlds (SW) pervaded with smart/intelligent
u-things including three kinds of essential elements: smart object, smart
space/hyperspace and smart system, which are based on the vision of the
future Ubiquitous Intelligence (UI, u-Intelligence) or Pervasive Intelligence
Dr. Ma is the Co-Editor-in-Chief of three international journals:
Journal of Ubiquitous Computing and Intelligence (JUCI), Journal of
Mobile Multimedia (JMM) and Journal of Autonomic and Trusted Computing
(JoATC), and the Assistant Editor-in-Chief of International Journal
of Pervasive Computing and Communications (JPCC). He is on the editorial
board of IJCPOL, IJDET, IJWMC, and IJSH, and has edited more than 10
journal special issues as a Guest Editor. He organized the 6th Int'l
Conference on Distributed Multimedia Systems (DMS'99) as PC Co-Chair,
the 1st Int'l Conference on Cyber Worlds (CW'02) as one of founders
and PC Co-Chairs, and the 18th IEEE Int'l Conference on Advanced Information
Networks and Applications as a General Co-Chair. He is a founder of
Int'l Conf. on Ubiquitous Intelligence and Computing (UIC) and Int'l
Conf. on Autonomic and Trusted Computing (ATC). He has severed many
other conferences/workshops as various chairs and committee members.
Dr. Ma obtained his B.S, M.S. and Ph.D in 1982, 1985 and 1990, respectively.
He was awarded as the Excellent Graduated Student by NUDT in 1982. He
received the Annual Excellent Paper Awards from China Information Theory
Society, Electronics Society, and Association of Hunan Science and Technology,
respectively. He received the Best Paper Award from the Int'l Conference
on Information Society in the 21st Century (IS2000), and the Highly
Commended Paper Award from the IEEE Int'l Conference on Advanced Information
Networking and Applications (AINA2004). He received the Appreciation
Certificate from IEEE Computer Society in 2004, 2005 and 2006, respectively.
Dr. Saman K. Halgamuge
Professor, Melbourne School of Engineering
The University of Melbourne
Discovering the almost unknown
in Biological Data
Finding hidden patterns in data or grouping data is
essential for making sense of present-day biomedical research involving
multi-dimensional, multi-scope large data sets. A promising method to
achieve this goal is semi-supervised learning that can discover almost
unknown knowledge. The main advantage of this machine learning approach
is the ability to adapt its structure using the data set features (i.e.
learn), thus making it immensely useful for many applications including
work of the presenter in Environmental Genomics and microarray data
About Dr. Saman K. Halgamuge
The presenter Dr Saman Halgamuge is a Professor in the Melbourne School
of Engineering of The University of Melbourne and a member of theschool
wide initiative of Biomedical Engineering. He received Dipl.-Ing (1990)
and Dr.-Ing (1995) degrees in Electrical Engineering from TechnicalUniversity
of Darmstadt, Germany. He leads a group of postdocs and PhDstudents working
on Pattern Recognition and Optimization looking into problems in Bioengineering
and Sustainable Energy. |
See his webpage http://www.mame.mu.oz.au/people/staff/saman_halgamuge.html
Dr. MingChu Li
Dalian University of Technology, Dalian, China
Indirect Reciprocity in complicated
Once business deal mode will be very frequent in the
world along with the economy development. It is very difficult for an
entity to make correct judgment for a strange adversary according to
own previous experiences. Thus, the reputation of an entity among the
group and its trustworthiness for other entities will be key factors
for its success and making its benefits. How to build a good reputation
system makes that the cooperation among strange entities is successful.
In our study, we explore the problem and find that the use of indirect
reciprocity can provide an efficient module for the cooperation and
trade in strange entities among deal groups.
We first classify two new types of indirect reciprocity based M. Nowak
and K. Sigmund (1998). Then a new mathematics module with indirect reciprocity
is provided for a complicated reputation system, and the different functions
are used to score the increase and the decrease of an reputation in
our module, respectively, so that they are more closed to the cognizant
criterion in our human society, and a punishment mechanism with arbitration
is also provided to guarantee the stabilization of indirect reciprocity
and to restrain vicious or revengeful punishments. Our experiments also
show that the stabilization of indirect reciprocity in complicated reputation
is good and our punishment mechanism would bring useful effect on indirect
About Dr. Ming Chu Li
MingChu Li received a Ph.D. degree from the University of Toronto (Toronto,
Canada) in 1998. During 1997-2002, he worked as a system software Engineer
in north america, where he helped in the design and implementation of
algorithms and the structures of projects. In 2002, he was a Full Professor
of Computer Science at Tianjin University (Tianjin, China). In 1993, he
was a Full Associate Professor at the University of Science and Technology
Beijing (Beijing, China). Prof. Li is currently a Full Professor of Computer
Science at DaLian University of Technology (DLUT) (Dalian, China), where
he has been since September 2004. He is also Vice Dean of School of Software
of DLUT. His research interests include Hamiltonian Graph Theory, NP-Theory
and Algorithms, Network and Information Security, Reputation Systems,and
Grid computing and its applications. Prof. Li received several projects
by National Nature Science Foundation of China, High-technology 863 plan
of China and 973 plan of China since 2002, and have published more than
80 papers in journals and international academic conferences. He is the
chair of 2007 International workshop on Graph Theory, Algorithm and its
Applications, and 2008 workshop among Asia Information security labs.