|
|
 |
|
|
|
|
Invited Speeches
(Click the photo or name, you can see the other invited speeches)
Title : Brain-inspired Web Intelligence Computing
Speaker : Ning Zhong
Department of Life Science and Informatics Maebashi Institute of Technology, Japan
The International WIC Institute Beijing University of Technology, China
SUMMARY
Artificial Intelligence (AI) has been mainly studied within the realm of computer based technologies. Various computational models and knowledge based systems have been developed for automated reasoning, learning, and problem-solving. However, there still exist several grand challenges. The AI research has not produced major breakthrough recently due to a lack of understanding of human brains and natural intelligence. In addition, most of the AI models and systems will not work well when dealing with large-scale, dynamically changing, open and distributed information sources at a Web scale.
The next major advances in artificial intelligence and Web intelligence are most likely to be brought by an in-depth unerstanding of human intelligence and its application in the design and implementation of systems with human-level intelligence. To prepare us ready for the great opportunity, this talk outlines a unified framework for the study of brain inspired Web intelligence (WI) by exploring the latest results from brain informatics (BI). This leads to profound advances in the analysis and understanding of data, knowledge, intelligence and wisdom, as well as their inter-relationships, organization and creation process. The fast-evolving WI research and development initiatives are now moving towards understanding the multi-facet nature of intelligence in depth and incorporating it on a Web scale. The recently developed instrumentation (fMRI etc.) and advanced IT are causing an impending revolution in WI research and development, making it possible for us to pursue the new frontier of intelligence science and develop human-level Web intelligence.
BIO
Ning Zhong received the Ph.D. degree in the Interdisciplinary Course on Advanced Science and Technology from the University of Tokyo. He is currently head of Knowledge Information Systems Laboratory, and a professor in Department of Life Science and Informatics at Maebashi Institute of Technology, Japan. He is also director and an adjunct professor in the International WIC Institute (WICI), Beijing University of Technology. He has conducted research in the areas of knowledge discovery and data mining, rough sets and granular-soft computing, Web intelligence, intelligent agents, brain informatics, and knowledge information systems, with over 200 journal and conference publications and 20 books. He is the editor-in-chief of the Web Intelligence and Agent Systems journal (IOS Press), associate editor of IEEE Transactions on Knowledge and Data Engineering, and the Knowledge and Information Systems journal (Springer), a member of the editorial board of Transactions on Rough Sets (Springer), and the editorial board of Advanced Information and Knowledge Processing (AI&KP) book series (Springer), Frontiers in AI and Applications book series (IOS Press), Chapman&Hall/CRC Data Mining and Knowledge Discovery book series, and editor (the area of intelligent systems) of the Encyclopedia of Computer Science and Engineering (Wiley). He is the co-chair of Web Intelligence Consortium (WIC), chair of the IEEE Computer Society Technical Committee on Intelligent Informatics (TCII), member of the steering committee of IEEE International Conferences on Data Mining (ICDM), vice chair of IEEE Computational Intelligence Society Technical Committee on Granular Computing, the steering committee of International Rough Set Society. He has served or is currently serving on the program committees of over 100 international conferences and workshops, including IEEE ICDM'02 (conference chair), IEEE ICDM'06 (program chair), IEEE/WIC WI-IAT'03 (conference chair), IEEE/WIC/ACM WI-IAT'04 (program chair), and IJCAI'03 (advisory committee member). I was awarded the best paper awards of AMT'06, JSAI'03, IEEE TCCI/ICDM Outstanding Service Award in 2004, and Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) Most Influential Paper Award (1999-2008).
Title: Data Mining for Software Trustworthiness
Abstract
As the modern society becomes increasingly dependent on software, the cost and consequences of software failures become more and more serious. How to develop software systems that can be justifiably trusted is considered a critical issue by academia, goverment, and industry. In the National Software Strategy Steering Group's 2005 report - Software 2015: A National Software Strategy to Ensure U.S. Security and Competitiveness, software trustworthiness is listed as one of the four most important focuses of future research.
Data mining and knowledge discovery (DMKD), which develops methods, algorithms, and techniques to extract useful information from huge amounts of data, emerged in 1990s and grew rapidly since then. Data mining techniques, such as classification, association, and clustering, can be used to analyze different types of software engineering data to assist substantially in building software trustworthiness. Data mining for software trustwortyiness has been an active research area in the past decade. Many data mining methods, techniques, and tools have been developed to support various aspects of software development, including software design, programming, testing, deployment, and maintenance. Although there are successful cases, the complexity in building software trustworthiness requires specialized data mining methods and techniques.
This talk will focus on theoretical and practical issues about data mining for software trustworthiness including the following topics:
- Data mining for software trustability analysis
- Measurements and models for software trustworthiness
- Data mining techniques for software programming, debugging, testing, and maintenance
- Data mining and knoweldge discovery in software engineering
Bio
Dr. Gang Kou is a professor of School of Management and Economics, University of Electronic Science and Technology of China and managing editor of International Journal of Information Technology & Decision Making. Previously, he was a research scientist in Thomson Co., R&D. He received his Ph.D. in Information Technology from the College of Information Science & Technology, Univ. of Nebraska at Omaha; got his Master degree in Dept of Computer Science, Univ. of Nebraska at Omaha; and B.S. degree in Department of Physics, Tsinghua University, Beijing, China. He has participated in various data mining projects, including network intrusion detection, health insurance fraud detection, credit card portfolio analysis, and HIV-1 Mediated Neuronal Dendritic and Synaptic Damage classification. He has published more than forty papers in various peer-reviewed journals and conferences. Gang Kou has been Keynote speaker/workshop chair in several international conferences. He co-chaired Data Mining contest on The Seventh IEEE International Conference on Data Mining 2007 and he is the Program Committee Co-Chair of the 20th International Conference on Multiple Criteria Decision Making (2009) and NCM 2009: 5th International Joint Conference on INC, ICM and IDC. He is also the special issue guest editor of several journals, such as Journal of Multi Criteria Decision Analysis (2010), Decision Support Systems (2010) and Information Sciences (2011).
- Dr. Ngoc Thanh Nguyen (Institute of Information Science and Engineering, Wroclaw University of Technology, Poland)
- Dr. Duane P. Truex III (Georgia State University, USA)
- Dr. Rajiv Kishore (State University of New York at Buffalo, USA)
- Dr. Sungwon Sohn (ETRI, Korea)
Dr. Ngoc Thanh Nguyen
Institute of Information Science and Engineering, Wroclaw University of Technology, Poland)
Invited talk title:Advanced Aspects of Knowledge Inconsistency Processing
Summary:
Inconsistent Knowledge Processing deals with methods not for removing inconsistency, but for reconciling inconsistent content of knowledge from different autonomous sources. The aspects of Knowledge Inconsistency may be considered on two levels: syntactic and semantic. On the syntactic level inconsistency is treated in the same way as for contradictory of logic formulas. On the semantic level, on the other hand, inconsistency appears when these formulas are interpreted in some concrete real world. For solving a large number of conflicts, and especially, for resolving inconsistency of knowledge on semantic level, consensus methods have been shown to be useful. The integration process in case of inconsistency often needs conflict resolution. For realizing this task we define first a set of postulates which are intuitive conditions for integration, next we analyze the postulates referring to their dependencies and independencies and work out the algorithms for integration process. In this talk the following elements will be presented: Measures for knowledge inconsistency; Consensus theory as a tool for conflict resolution; Syntactic & semantic levels of inconsistency; A model for knowledge integration; Expert knowledge integration and finally the practical aspects and applications.
Short bio:
Ngoc Thanh Nguyen (Ph.D., D.Sc.) currently works as a professor of Computer Science at Wroclaw University of Technology, Poland. His scientific interests consist of knowledge integration methods, intelligent technologies for conflict resolution, inconsistent knowledge processing, multi-agent systems, collective intelligence and E-learning methods. He has edited 10 special issues in international journals, two books and three conference proceedings. He is the author of 4 monographs and about 130 other publications. His latest monograph entitled “Advanced Methods for Inconsistent Knowledge Management” has been published by Springer this year. He serves as Co-editor of book series “Computational Intelligence and its Applications (COMIA)” for IGI Global Publishers. He serves as Editor-in-Chief of International Journal of Intelligent Information and Database Systems, Associate Editor of International Journal of Computer Science & Applications; Journal of Information Knowledge System Management and KES Journal and a member of Editorial Boards of several other prestigious international journals such as Journal of Applied Intelligence and Journal of Universal Computer Science. He has been a General Chair, Program Chair, Program Co-chair for several international conferences in Artificial Intelligence. He is the Chair of KES symposium series on Agent and Multi-agent Systems. He is the Chair of Ph.D. Committee of the Institute of Information Science and Engineering, Wroclaw University of Technology. He is a Member of Ph.D. Thesis Examiners Register of University of South Australia. He is a Member of the Interdisciplinary Committee for Preparatory FP7 Grants in Polish Ministry of Science and Higher Education. He is a Senior Member of ACM, a Member of IFIP WG 7.2 and several other international scientific societies.
For details please visit his homepage:
http://www.iit.pwr.wroc.pl/~nguyen/eng_index.html
Dr. Duane P. Truex III
Computer Information Systems,J. Mack Robinson College of Business, Georgia State University, USA
Dropping Your Tools: the Diversification of the Research Agenda in understanding the Impact of the
Convergence of Information Technology in Organizations
Summary:The debate between protagonists of different theoretical approaches continues in the Information Systems
field, with little prospect of resolution.
The debate is typically characterized by tendentious arguments as advocates from each approach offer a
somewhat one-sided condemnation of other approaches.
A recent debate in the Scandinavian Journal of Information Systems (SJIS) illustrates the manner in which IS
researchers are polarized into opposing camps, each tending to view the other as inferior. Ironically further
polarization is occurring in the manner various groups of IS scholars are simultaneously calling for order,
discipline and clearer notions of the “core of the discipline” while other scholars call for greater
research diversity. In order to overcome this polarization we advocate a strategy recommended by Weick
(1996): Drop your tools, hold your concepts lightly and update them frequently.
Three reasons for dropping our theoretical tools are suggested as a means for moving forward, both for
individual researchers as well as for the research community as a whole.
Short bio:
Duane Truex is interested in the social impacts of ISD especially the impact on workers and how emergent
properties of organizations may be reflected in emergent ISD. Truex is active in the IFIP 8.2 community. He
is an Associate Editor for the Information Systems Journal, has co-edited two special issues of The Database
for Advances in Information Systems and is on the on the editorial board of the Scandinavian Journal of
Information Systems, the Journal of Communication, Information Technology & Work and the Online Journal of
International Case Analysis.
An Associate Professor in the Computer Information Systems (CIS) department the Robinson College of Business
at Georgia State University, USA, he has held visiting international posts as a Leverhulme Research Fellow in
the United Kingdom at the University of Salford, England and a visiting Full Research Professor at Aalborg
University, Denmark, and a Visiting Professor at the University of Nantes, France. In the United States he
has held posts at Binghamton University, Florida International University, and Cornell University.
His work has been published in the Communications of the ACM, Accounting Management and Information
Technologies, The Database for Advances in Information Systems, the European Journal of Information Systems
(EJIS), le journal de la Societ®¶ d°ØInformation et Management (SIM), the Information Systems Journal
(ISJ), the Journal of Arts Management and Law, IEEE Transactions on Engineering Management, and forty
assorted IFIP transactions and edited books and conference proceedings. In July 2004 he published an edited
book entitled "Information Systems Research: Relevant Theory and Informed Practice" published by Kluwer
Academic Press.
Rajiv Kishore, Ph.D.
State University of New York at Buffalo, New York, USA
Convergence and Globalization:
Impacts and Implications of the Global Collaboration Platform on Global Outsourcing
By Rajiv Kishore, Ph.D.
State University of New York at Buffalo, New York, USA
The beginning of the confluence of the telecommunication technologies and information technologies occurred sometime in the early 1960s when the seeds of the Internet were first sown. This merger of the two technologies continued strengthening and achieved a major milestone in the 1990s with the advent of the World Wide Web (WWW) and the web browser, and the connection of the now ubiquitous PC to the Internet. Further convergence occurred with the development of a wide variety of new technologies and software applications, including e-mail, file sharing, workflow, search engines, instant messaging, voice over IP (VOIP), Internet video conferencing, etc., and it spawned the first truly global platform with vastly superior capabilities for communication and collaboration than ever before. The rapid growth in global outsourcing of IT and IT-enabled services, also termed as offshoring, that we have seen in the last decade has been propelled in no small measure by this global collaboration platform. In my presentation, I will examine how this coalescing of communication and information technologies has shaped the global outsourcing phenomenon. I will also discuss some implications of the global collaboration platform for the global outsourcing field and those who work in it. I will also explore the new capabilities that client and vendor organizations may need to develop to use this convergence to the fullest extent to their advantage.
Short bio:
Rajiv Kishore
State University of New York at Buffalo
325N Jacobs Management Center
Buffalo, New York 14260-4000, USA
Ph.D. (Computer Information Systems), Georgia State University
M.S. (Computer Information Systems), Georgia State University
M.T. (Technical), IIT Madras, India
B.E. (Industrial Engineering), University of Roorkee, India
Dr. Kishore's primary research interest is in improving organizational and IT performance through the effective management of global IT and business process outsourcing projects, agile methods for business process analysis and integration, and technology and innovation management. He received a multi-year research grant as a co-principal investigator from the National Science Foundation for conducting research in the IT outsourcing area. Dr. Kishore has published numerous articles in scholarly journals and refereed proceedings and has presented his research at various international, national, and regional conferences. He has also consulted with a number of large companies including BellSouth, Blue Cross and Blue Shield of Minnesota, Clearnet Communications (Canada), Dun and Bradstreet Software, IBM, and Pioneer-Standard Electronics. He continues to regularly consult and speak to industry and professional groups. Dr. Kishore is also the co-editor-in-chief of JITTA (www.jitta.org), a scholarly information systems journal.
|
Copyright AICIT(c) 2009. All Rights Reserved, IMS is a part of the CIT series.
AICIT President : Franz I. S. Ko.
|
|
|
Dr. Ning Zhong
