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Plenary Speakers |
Dr.
Hai Jin
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Dr. Dominik Slezak
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Dr. Osvaldo Gervasi
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Dr. Zuhong Lu
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Dr.
Alfredo Cuzzocrea
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Dr.
Sabah Mohammed
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Prof.
Wai-Chi Fang |
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Dr.
Hai Jin
Dean,
School of Computer Science and Technology
Director, Cluster and Grid Computing Lab
Director, Services Computing Technology and System Lab
Huazhong University of Science and Technology |
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From Grid Computing to Cloud Computing: Experiences
on Virtualization Technology |
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In recent years, we see a great change from grid computing to cloud
computing. Cloud computing is among the most popular words in computing
today. As technology foundation, virtualization technology (VT) becomes
a re-emerging technology. It is a decoupling technique that separates
system software from hardware platform, while making applications to
run pervasively. Many academic institutes and research labs from industries
have devoted great efforts in various related aspects. In 2007, Chinese
Ministry of Science and Technology initialized a basic research project
(the 973 project) with 6 universities and 2 research institutes, aimed
at various topics related to VT-based computing systems, such as VT
architecture design philosophy, VT design for a single computing system,
VT design for multiple computing systems, user environment for VT, security,
reliability and trust issues related to VT, as well as performance evaluation
and benchmarking for VT-based computing systems. In this talk, we will
give insight for this project. Our experiences on VT research are discussed
in detail, including power management, virtual machine live migration,
memory/IO virtualization, and desktop virtualization.
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About
Dr. Hai Jin |
| Hai
Jin is a Cheung Kung Scholars Chair Professor of computer science and
engineering at the Huazhong University of Science and Technology (HUST)
in China. He is now Dean of the School of Computer Science and Technology
at HUST. Jin received his PhD in computer engineering from HUST in 1994.
In 1996, he was awarded a German Academic Exchange Service fellowship
to visit the Technical University of Chemnitz in Germany. Jin worked at
The University of Hong Kong between 1998 and 2000, and as a visiting scholar
at the University of Southern California between 1999 and 2000. He was
awarded Excellent Youth Award from the National Science Foundation of
China in 2001. Jin is the chief scientist of ChinaGrid, the largest grid
computing project in China, and the chief scientist of National 973 Basic
Research Program Project of Virtualization Technology of Computing System.
Jin is a senior member of the IEEE and a member of the ACM. Jin is
the member of Grid Forum Steering Group (GFSG). He has co-authored 15
books and published over 400 research papers. His research interests
include computer architecture, virtualization technology, cluster computing
and grid computing, peer-to-peer computing, network storage, and network
security
Jin is the steering committee chair of International Conference on
Grid and Pervasive Computing (GPC), Asia-Pacific Services Computing
Conference (APSCC), International Conference on Frontier of Computer
Science and Technology (FCST), and Annual ChinaGrid Conference. Jin
is a member of the steering committee of the IEEE/ACM International
Symposium on Cluster Computing and the Grid (CCGrid), the IFIP International
Conference on Network and Parallel Computing (NPC), and the International
Conference on Grid and Cooperative Computing (GCC), International Conference
on Autonomic and Trusted Computing (ATC), International Conference on
Ubiquitous Intelligence and Computing (UIC). |

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Dr. Dominik Slezak
University of Warsaw & Infobright, Poland |
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Compound Analytics of Compound Data within RDBMS
Framework - Infobright's Perspective |
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The relational model has been present in research
and applications for decades, inspiring a number of RDBMS products based
on entirely dierent architectures, but sharing the same way of understanding
and representing the data. Given 40 years of history, it is clear that
the relational paradigms should not be blindly followed in all scenarios.
On the other hand, given its popularity, the relational framework is
usually the easiest one to accept by the end-users and the most convenient
for interfacing with other tools.
An important trend in RDBMS industry refers to analytical engines that
are optimized for advanced reporting and ad hoc querying. Such engines
are usually applied at a level comparable to data marts, especially
in market segments where rapid data growth is expected. Originally,
they used to be technically complex and dicult to maintain. Fortunately,
the invention progress has led towards solutions, such as e.g. Infobright's
ICE1 and IEE2, capable of storing and querying tens of terabytes of
data on a single o-the-shelf box.
Infobright's engine creates granulated tables with rough rows corresponding
to the groups of original rows. All internal operations are implemented
at two levels: 1) rough rows and their rough values corresponding to
compact information about particular attributes, and 2) data packs compressed
collections of values of particular attributes within particular groups.
Let us refer to for current research on ICE/IEE technology, and to for
some interesting examples of its usage in academic and commercial projects.
In this talk, we use Infobright's software as a baseline to discuss
limitations of relational model in addressing the challenges of modern
database applications. The challenges are categorized as compound analytics
and compound data. In both cases, we claim that it would be a mistake
to give up too easily the benets of a typical RDBMS way of interacting
with the users. Instead, we attempt to show some application-level and
technology-level solutions that seem to preserve the original relational
framework's universality and clarity.
As an example of compound analytics scenario, we investigate opportunities
to enrich SQL standard with approximation aspects, assuming minimum
impact on query syntax and maximum simplicity of interpreting approximate
query answers. As an example of compound data scenario, we discuss two
general approaches to take an advantage of domain knowledge about data
semantics: 1) modeling data hierarchies explicitly, at data schema level
or 2) doing it fully transparently to schema level, assuming that the
end-users are not interested in bothering with data in such a detailed
way. |
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About
Dr. Dominik Slezak |
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Dominik Slezak received his PhD degree in Computer Science in 2002, from
the University of Warsaw, Poland. He has taught at the Polish-Japanese
Institute of Information Technology, Poland, as well as at the University
of Regina, Canada.
In 2005, he co-founded Infobright, and holds the position of Chief
Scientist. Recently, he has also come back to his academic work - research
and teaching at University of Warsaw.
Dominik's research interests are in databases, data mining and soft
computing, with a special emphasis on the theory of rough sets - its
foundations and usage in hybrid approaches to complex data analysis.
Dominik has co-authored over 100 articles for scientific books, journals,
and conferences. He has also co-edited over 20 volumes of conference
proceedings and been a featured speaker at conferences around the world.
He serves as an editorial board member for several international scientific
journals including Information Sciences (INS), Intelligent Information
Systems (JIIS), as well as Knowledge and Information Systems (KAIS).
He also serves as vice-president of International Rough Set Society. |

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Dr.
Osvaldo Gervasi
Dept. of Mathematics and Computer Science,
University of Perugia, Italy |
| The
Open Source Software revolution of the IT business |
The
present talk will discuss the tremendous impact made by the Free Libre
Open Source Software (FLOSS) in the IT business. We will present the
winning model of the organization of the FLOSS communities and its impact
on the political, social and ethical aspects of our Society.
In particular, starting from the local experience of the Open Source
Competence Center (CCOS) of Umbria, Italy, the dissemination of FLOSS
solution in the Public Administrations will be discussed.
The issue of Open Standards and Open Formats will be also presented.
The licensing problem will finally be illustrated. |
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About
Dr. Osvaldo Gervasi |
| Osvaldo
Gervasi's research interests are focused on Computational Science, Grid
Computing, Cloud Computing, Virtual Reality and Web Programming.
He participated to two UE COST Actions, leading for each a Working
Group. In 2007-2010 he was the Italian representative inside the Management
Committee of the GridChem Action.
He has been visiting researcher at SLAC (USA), at the University of
Oklahoma (USA), at the University of the Basque Country (Spain) and
the University of Barcelona (Spain) At the University of Crete and FORTH,
Crete (Greece).
He has been the co-Chair of the following conferences: ICCSA 2004 (Assisi,
Italy), ICCSA 2005 (Singapore), ICCSA 2006 (Glasgow, UK), ICCSA 2007
(Kuala Lumpur, Malaysia); ICCSA 2008 (Perugia, Italy), ICCSA 2009 (Seoul,
Korea), ICCSA 2010 (Fukuoka, Japan). He has been co-Chair of the Web3D
2007 Symposium (Perugia, Italy) sponsored by ACM-SIGGRAPH and Eurographics.
He is Program Chair of ICCSA 2011, to be held in Santander (Spain),
He has been invited speaker at the Conference ICHIT 2006, the International
Conference on Hybrid Information Technologies, held on Nov 9th-11th,
Jeju Island (South Korea).
In 2006 the SIMBEX project has been selected by the CIVR of the Ministry
of University as one of the 12 best products of the University of Perugia
in the Mathematics and Computer Science areas in the period 2003-2005.
He is member of the EGEE III Project.
He coordinated more than 80 Thesis of the “Laurea in Informatica”.
He has published over 70 papers on international journals and books
and edited more than 30 books.
He delivered more than 50 presentations to International Conferences
/ Workshops.
He is President of the Umbria's Open Source Competence Center since
2007.
He is IEEE Senior member (Computer Society and Communications Society)
and ACM Senior Member (SIGCHI and SIGGRAPH). He is member of Web3D Consortium
and Internet Society (ISOC). |

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Dr.
Zuhong Lu
State Key Laboratory of Bioelectronics,
School of Biological Science and Medical Engineering,
Southeast University, Nanjing, 210096, China |
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Next-Generation DNA Sequencing Techiniques: Challenges
and Opportunities for Personalized Medicine |
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Next-generation DNA sequencing (NGS) techniques could
dramatically reduce the cost and generate huge amount of various types
of DNA sequence data throught different experimental designs. With the
rapid development of NGS, not only the enormous opportunities are occuring
in biological and medical research fields, but also healthcare and clinical
practices based on personal genomic information are becoming a reality.
In other words, the era of personalized medicine is coming. However,
great chanllenges are still remaining for both biologists and information
scientists to improve sample preparation, sequencing accuracy and efficiency,
data processes and interpretation in order to meet the future medical
revolution. Here, recent progresses in both technologies and bioinformatic
analysis related to next generation DNA sequencing will be introduced.
A novel platform for next generation DNA sequencing and related applications
will be presented. |
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About
Dr. Zuhong Lu |
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Dr. Lu was graduated from Southeast University in electronic engineering
in 1982, and obtained his Ph.D degree of bioelectronics from Southeast
University in 1988. Now, he is Chair Professor of "Cheung Kong Scholars
Programme", State Key Laboratory of Bioelectronics, School of Biological
Science and Medical Engineering, Southeat University, and also director
of Key Laboratory of Child Development and Learning Science of Ministry
of Education of China in the same university. His research experiences
cover vacuum electronics, molecular electronics, thin organized molecular
films, biosensors, microarray, bioinformatics, learning science. He has
more than 300 related papers published in international journals and more
than 20 Chinese issued patents. |

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Dr. Alfredo Cuzzocrea
Institute of High Performance Computing and Networking - Italian National
Research Council
Department of Electronics, Computer Science, and Systems - University
of Calabria, Italy
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OLAP Data Cube Compression Techniques: A Ten-Year-Long
History |
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OnLine Analytical Processing (OLAP) is relevant for
a plethora of Intelligent Data Analysis and Mining Applications and
Systems, as it offers powerful tools for exploring, querying and mining
massive amounts of data on the basis of fortunate and well-consolidated
multidimensional and a multi-resolution metaphors over data. Applicative
settings for which OLAP plays a critical role are manyfold, and span
from Business Intelligence to Complex Information Retrieval and Sensor
and Stream Data Analysis. Recently, the Database and Data Warehousing
research community has experienced an explosion of OLAP-related methodologies
and techniques aimed at improving the capabilities and the opportunities
of complex mining processes over heterogeneous-innature, inter-related
and massive data repositories. Despite this, open problems still arise,
among which the so-called curse of dimensionality problem plays a major
role. This problem refers to well-understood limitations of state-of-the-art
OLAP data processing techniques in elaborating, querying and mining
multidimensional data when data cubes grow in size and dimension number.
This evidence has originated a large spectrum of research efforts in
the context of Approximate OLAP Query Answering techniques, whose main
idea consists in compressing target data cubes in order to originate
compressed data structures able of retrieving approximate answers to
OLAP queries at a tolerable query error. This research proposes an excerpt
of a ten-year-long history of OLAP data cube compression techniques,
by particularly focusing on three major results, namely Δ - Syn,
KLSA and LCS - Hist. |
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About
Dr. Alfredo Cuzzocrea |
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He received the Laurea Degree cum laude in Computer Science Engineering
from the University of Calabria on April 2001. Master Thesis: "Adaptive
Hypermedia Systems: an XML-based Representation Model and a Java-based
Development and Simulation Visual Tool", Scientific Advisor: Prof.
Domenico Saccà. From April 2001 to September 2001, he was Research
Associate at the Institute of Systems Analysis and Information Technology
of the Italian National Research Council. From October 2001 to October
2004, he was PhD Student on Computer Science and Systems Engineering at
the Department of Electronics, Computer Science and Systems, University
of Calabria, under the scientific supervision of Prof. Domenico Saccà.
He received the PhD Degree in Computer Science and Systems Engineering
from the University of Calabria on February 2005. PhD Thesis: "Models
and Algorithms for Efficient Representation and Query Answering on Data
Cubes for Pervasive Computing", Scientific Advisor: Prof. Domenico
Saccà. From November 2004 to April 2005, he was Research Associate
at the Institute of High Performance Computing and Networking of the Italian
National Research Council. From May 2005 to April 2007, he was Research
Fellow at the Department of Electronics, Computer Science and Systems,
University of Calabria, under the scientific supervision of Prof. Domenico
Saccà. Since July 2006, he is Researcher at the Institute of High
Performance Computing and Networking of the Italian National Research
Council and Adjunct Professor at the Department of Electronics, Computer
Science and Systems, University of Calabria. From 2003 to 2008, he was
Adjunct Professor at the University "Parthenope" of Naples.
He is Adjunct Professor at the University "Magna Graecia"
of Catanzaro (since 2004) and Adjunct Professor at the University of
Messina (since 2008). During 2007, he held a Visiting Position at the
School of Computer Science and Engineering of the University of New
South Wales, Sydney, Australia. During 2009, he held a Visiting Position
at the Database Group of the University Claude Bernard of Lyon 1, Lyon,
France. During 2009, he held a Visiting Position at the Computer Science
Department of the University of Turin, Turin, Italy. During 2009, he
held a Visiting Position at the Computer Science Department of the University
of California, Los Angeles, Los Angeles, CA, USA. During 2009, he held
a Visiting Position at the Department of Computer Science of the Purdue
University, West Lafayette, IN, USA. During 2010, he holds a Visiting
Position at the Department of Information and Communication Engineering
of the Fukuoka Institute of Technology, Fukuoka, Japan. During 2010,
he holds a Visiting Position at the Computer Science Department of the
Free University of Bozen-Bolzano, Bozen-Bolzano, Italy. |

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Dr.
Sabah Mohammed
Professor of Computer Science at Lakehead University
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The Future Trends of e-Health:The Ubiquity and
Cloud Computing Roadmap |
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Medical paper-based records have been in existence
for decades and their gradual replacement by computer-based records
has been slowly underway for over twenty years in healthcare systems.
Computerized information systems have not achieved the same degree of
penetration in healthcare as that seen in other sectors such as finance,
transport and the manufacturing and retail industries. Further, deployment
has varied greatly from country to country and from specialty to specialty
and in many cases has revolved around local systems designed for local
use. Electronic medical record systems lie at the center of any computerized
health information system. Without them other modern technologies such
as disease surveillance systems cannot be effectively integrated into
routine clinical workflow. The paperless, interoperable, multi-provider,
multi-specialty, multi-discipline computerized medical record, which
has been a goal for many researchers, healthcare professionals, administrators
and politicians for the past two decades, is however about to become
reality in many countries. This article provides a roadmap vision based
on the emerging web technologies that hold great promise for addressing
the challenge of sharing electronic health records. It starts with addressing
the ubiquity trend and how it can be realized based on the new cloud
computing paradigm to share electronic heath records like the community
of care records/documents (CCRs, CCDs). The article also addresses the
security concerns related to sharing electronic health records over
the cloud.
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About
Dr. Sabah Mohammed |
Dr. Sabah Mohammed started his career during 1977 as a Multimedia Maintenance
Engineer working for Canon and Sony following his hobby in Electronics,
although he completed his bachelor degree in Mathematics (HBSc 1977).
>From July 1979 he started his graduate studies where he received his
degrees in Computer Science from Glasgow University-UK (PgD 1980, MPhil
1981) and from Brunel University-UK (PhD 1986). Since late 2001, Dr. Mohammed
is a full Professor of Computer Science at Lakehead University. Formerly,
from 1986-1995, Dr. Mohammed was an Assistant/Associate Professor of Computer
Science at various universities including (BU, Amman University, Philadelphia
University, Applied Science University and HCT). Sabah is interested in
intelligent systems that have to operate in large, nondeterministic, cooperative,
survivable, adaptive or partially known domains. Although his research
is inspired by his PhD work on the employment of some Brain Activity-Structures
based techniques for decision making (planning and learning) that enable
processes (e.g. agents, mobile objects) and collaborative processes to
act intelligently in their environments to timely achieve the required
goals, Sabah extended his research vision to include constructivism and
focus more on the nature of knowledge. Since knowledge is created by people
and influenced by their values and culture, Sabah research stated to shift
more towards net centric systems (e.g. Cloud Computing, Social Networking
and Enterprise Systems, Web-Based Systems). During the last nine years,
Sabah research is focused on developing ubiquitous healthcare systems
that enable sharing securely knowledge and data in an effective way. In
particular sharing Electronic Health Record (EHRs) over the Web is one
of the very challenging problems that Sabah tries to solve. Sabah believes
that finding good solutions for sharing EHRs requires approaches that
cut across many different fields (e.g. Semantic Web, Web 2.0, Web 3.0,
Ubiquitous Computing, Medical Informatics, XML Security and Artificial
Intelligence).. He published several research articles in an attempt to
promote EHRs interoperability and sharing. Recently he edited and authored
a notable book on “Ubiquitous Health and Medical Informatics: The
Ubiquity 2.0 and Beyond” by IGI Global that will be published during
April 2010.
Dr. Mohammed professional career includes many achievements. He is the
Editor-in-Chief of the Journal of Emerging Technologies in Web Intelligence
(JETWI) of the Academy Publisher-Finland (http://www.academypublisher.com/jetwi/index.html)
since early 2009. He was a Visiting Scholar at the Math and Computer Science,
Laurentian University (Winter 2008). He is a Professional Software Engineer
of Ontario (P.Eng.) and Canada Information Processing Professional (ISP).
Dr. Mohammed is an active member of Canada’s e-Health Interoperability
group (http://www.simbioses.ca/ehealth/) and the coordinator on Northern
Ontario Web Intelligence Research Group (NOWI http://www2.cs.uregina.ca/~wi/).
Besides being an active member of the Department of Computer Science here
at Lakehead University, Dr. Mohammed is among the core faculty members
of both the Lakehead University Bioinformatics and BioTechnology programs.
Moreover, Dr. Mohammed is an Adjunct Research Professor with the University
of Western Ontario. More recently, Dr. Mohammed joined the core members
of the BioTechnology PhD program.
His membership in these programs enables him to supervise good number
of MSc and PhD students. Actually, Dr. Mohammed is passionate about helping
students and young researchers to get a good start in their careers. His
teaching involves many important courses in Computer Science including:
Mobile Programming, Artificial Intelligence, Programming Languages and
Object-Oriented Design and Methodologies. During 2006, Dr. Mohammed was
the recipient of the Contribution to Teaching Award. Dr. Mohammed has
also some notable administrative services as he chaired three Computer
Science and Information Systems departments including (Philadelphia University-Jordan
(1995-1997), Applied Science University-Jordan (1997-2000), HCT-Sultanate
of Oman (2000-2001)). Dr. Mohammed published more than 90 refereed articles,
chapters in books and three textbooks. He supervised more than 20 Masters
Students and one PhD student. More on Dr. Mohammed career and publications
can be found at his webpage (http://flash.kakeheadu.ca/~mohammed). |

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Prof.
(Winston) Wai-Chi Fang
Director of System-on-Chip Research Center
TSMC Distinguished Chair Professor
Department of Electronics Engineering
National Chiao Tung University
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Advanced Green Energy DOT/EEG/ECG Heart-Brain System-on-Chip and
Embedded Systems for Portable Brain-Heart Health Care Systems |
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In this paper, we focus on a multi-core system-on-chip
design for real-time bio-sianl processing of brain-heart monitoring
systems. The significance of this SoC is to enable practical developments
of portable real-time brainheart monitoring systems. The designed multi-core
SoC can work as a high speed computation platform at low power to perform
real time signal processing and image reconstruction tasks. The architecture
of the SoC comprises a novel diffuse optical tomography (DOT) system
for taking brain imaging, an independent component analysis (ICA) processor
for brain electroencephalogram (EEG) signal, and a heart rate variability
(HRV) analysis processor for heart electrocardiogram (ECG) signal. In
addition, to achieve lower power consumption, an intelligent power management
system is designed and implemented. The resulting SoC design has been
fabricated in 65nm CMOS technology and proofed to be a very low power
functional chip up to 60 MHz at 12.24 mW.
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About Prof. Wai-Chi Fang |
Prof. Wai-Chi Fang is the Director of the System-on-Chip Research Center
and the TSMC Distinguished Chair Professor of National Chiao Tung University.
He received a Ph.D. in electrical engineering from University of Southern
California, Los Angeles, USA in 1992. From 1985 to 2009, he had been with
NASA Jet Propulsion Laboratory (JPL). He won the NASA Space Act award
in 2002 and 2003. His inventions on advanced computing engines and data
compression systems are used in space missions. His research interests
include intelligent information and communication systems, green biomedical
circuits and systems, intelligent electronics and VLSI/SoC chip implementation.
He has published over a hundred papers, patents and books. He is the recipient
of 1995 IEEE VLSI Transactions Best Paper Award. He holds seven US patents
and thirteen NASA new technologies. He is the recipient of NASA Certificates
of Recognition for these creative technical innovations.
Prof. Fang is an IEEE Fellow and currently serves as the Vice President
of IEEE Systems Council. He serves on the Advisory Board of IEEE Systems
Journal and the Advisory Board of International Journal of Innovative
Computing, Information & Control. He was an elected Governor of the
IEEE Circuits and Systems Society (2003-2008) and an AdCom member of the
IEEE Nanotechnology Council. He was the Chairman of IEEE CASS Technical
Committee on Nanoelectronics and Gigascale Systems. He served as Associated
Editor for the IEEE Transactions on Very Large Scale Systems (1997-1998),
IEEE CASS Circuit and Device Magazine (1999-2000), IEEE Transactions on
Multimedia (2000-2001), and IEEE Transactions on Circuits and Systems
I (2002-2003). He was the general chairman of the 2006 IEEE International
Conference on Intelligent Information Hiding and Multimedia Signal Processing.
He has served on organization committee and technical program committee
of many international conferences and workshops. |

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