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Dr. Hai Jin

Dr. Dominik Slezak


Dr. Osvaldo Gervasi


Dr. Zuhong Lu

Dr. Alfredo Cuzzocrea
Dr. Sabah Mohammed
Prof. Wai-Chi Fang

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
From Grid Computing to Cloud Computing: Experiences on Virtualization Technology

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.

    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).

  


Dr. Dominik Slezak
University of Warsaw & Infobright, Poland
Compound Analytics of Compound Data within RDBMS Framework - Infobright's Perspective
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.
 About Dr. Dominik Slezak
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.


  
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.

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).


  
Dr. Zuhong Lu
State Key Laboratory of Bioelectronics,
School of Biological Science and Medical Engineering,
Southeast University, Nanjing, 210096, China
Next-Generation DNA Sequencing Techiniques: Challenges and Opportunities for Personalized Medicine

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.

    About Dr. Zuhong Lu
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.

  

  
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

OLAP Data Cube Compression Techniques: A Ten-Year-Long History 

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.

About Dr. Alfredo Cuzzocrea
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.


  

Dr. Sabah Mohammed
Professor of Computer Science at Lakehead University

The Future Trends of e-Health:The Ubiquity and Cloud Computing Roadmap

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.

  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).

Prof. (Winston) Wai-Chi Fang
Director of System-on-Chip Research Center
TSMC Distinguished Chair Professor
Department of Electronics Engineering
National Chiao Tung University

Advanced Green Energy DOT/EEG/ECG Heart-Brain System-on-Chip and Embedded Systems for Portable Brain-Heart Health Care Systems

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.

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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