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AMT-BI 2011 Keynote Speakers

AMT Keynote Speakers

Professor Ali Ghorbani, University of New Bunswick, Canada
"People's Opinion, People's Nexus, People's Security and Computational Intelligence: the Evolution Continues"  ( Download )

Professor Toyoaki Nishida, Kyoto University, Japan
"Towards Conversational Artifacts"  ( Download )

BI Keynote Speakers

Professor Lin Chen, Chinese Academy of Sciences, China
"The Global-first Topological Definition of Perceptual Objects, and Its Neural Correlation in Anterior Temporal Lobe"   ( Download )

Professor D. Frank Hsu, Fordham University, USA
"Combinatorial Fusion Analysis in Brain Informatics: Gender variation in facial attractiveness judgment"
 ( Download )

Xuesen Qian Memoriam Invited Speaker

Professor Zhongtuo Wang, Dalian University of Technology, China
"Study of System Intuition by Noetic Science Founded by QIAN Xuesen"  ( Download )

Herbert Simon Memoriam Invited Speaker

Professor Yulin Qin, International WIC Institute/BJUT China, and Department of Psychology/CMU, USA
"Study of Problem Solving Following Herbert Simon"  ( Download )

Professor Ali Ghorbani

University of New Bunswick, Canada

People's Opinion, People's Nexus, People's Security and Computational Intelligence: the Evolution Continues

The talk begins with a brief introduction to some of our research work in the past few years as well as the ongoing research. A new model on extending the flexibility and responsiveness of websites through automated learning for custom-tailoring and adaptive web to user usage patterns, interests, goals, knowledge and preferences will be presented. The second part of the talk will be devoted to the challenges that the Computational Intelligence communities are faced with in order to address issues related to people's nexus, opinion, and security on the Web, and our contributions to these topics. At the end, I will provide an overview of our current research focus on network security and intelligence information handling and disimination.

Dr. Ali Ghorbani has held a variety of positions in academia for the past 30 years including heading up projects and research groups and as department chair, director of computing services, and as assistant dean. Currently, Dr. Ghorbani serves as Dean of the Faculty of Computer Science, University of New Brunswick. He received the university’s merit award for outstanding contributions to the University of New Brunswick in 2003 and UNB Research Scholar award for 2007-08. His current research focus is Web Intelligence, Network & Information Security, Complex Adaptive Systems, and Critical Infrastructure Protection. He authored more than 240 reports, book chapters, research papers in journals and conference proceedings and has edited 8 volumes. He is the co-inventor of 3 patents in the area of Web Intelligence and Network Security. He served as General Chair and Program Chair/co-Chair for 10 International Conferences, and organized over 10 International Workshops. He has also supervised more than 120 research associates, postdoctoral fellows, and graduate students. Dr. Ghorbani is the founding Director of Information Security Centre of Excellence at UNB. He is also the coordinator of the Privacy, Security and Trust (PST) network. Dr. Ghorbani is the co-Editor-In-Chief of Computational Intelligence, an international journal, and associate editor of the International Journal of Information Technology and Web Engineering and the ISC journal of Information Security. His book, Intrusion Detection and Prevention Systems: Concepts and Techniques published in 2009. Dr. Ghorbani is the member of ACM, IEEE, and Canadian Information Processing Society (CIPS). He is a member of CIPS Professional Standards Advisory Council (PSAC) and the Natural Sciences and Engineering Research Council of Canada committee on Safety and Security.

Professor Toyoaki Nishida

Kyoto University, Japan

Towards Conversational Artifacts

Conversation is a natural and powerful means of communication for people to collaboratively create and share information. People are skillful in expressing meaning by coordinating multiple modalities, interpreting utterances by integrating partial cues, and aligning their behavior to pursuing joint projects in conversation. A big challenge is to build conversational artifacts – such as intelligent virtual agents or conversational robots – that can participate in conversation so as to mediate the knowledge process in a community. In this article, I present an approach to building conversational artifacts. Firstly, I will highlight an immersive WOZ environment called ICIE (Immersive Collaborative Interaction Environment) that is designed to obtain detailed quantitative data about human-artifact interaction. Secondly, I will overview a suite of learning algorithms for enabling our robot to build and revise a competence of communication as a result of observation and experience. Thirdly, I will argue how conversational artifacts might be used to help people work together in multi-cultural knowledge creation environments.

Toyoaki Nishida is Professor at Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University. He received the B.E., the M.E., and the Doctor of Engineering degrees from Kyoto University in 1977, 1979, and 1984, respectively. His research centers on artificial intelligence and human computer interaction. He founded an international workshop series on social intelligence design in 2001. Major works in social intelligence design have been published in several special issues of the AI & Society journal. He opened up a new field of research called conversational informatics in 2003. He collected and compiled representative works in conversational informatics as: Nishida (ed.) Conversational Informatics -- An Engineering Approach, Wiley, 2007. Currently, he leads several projects related to social intelligence design and conversational informatics. He serves for numerous academic activities, including the president of JSAI (Japanese Society for Artificial Intelligence), an associate editor of the AI & Society journal, an area editor (Intelligent Systems) of the New Generation Computing journal, a technical committee member of Web Intelligence Consortium, and an associate member of the Science Council of Japan.

Professor Lin Chen

(joint talk with Ke Zhou, Wenli Qian, and Qianli Meng)
State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, China

The Global-first Topological Definition of Perceptual Objects, and Its Neural Correlation in Anterior Temporal Lobe

What is a perceptual object? This question seems to be straightforward yet its answer has become one of the most central and also controversial issues in many areas of cognitive sciences.

The "global-first" topological approach ties a formal definition of perceptual objects to invariance over topological transformation, and the core intuitive notion of a perceptual object - the holistic identity preserved over shape-changing transformations - may be precisely characterized as topological invariants, such as connectivity and holes.

The topological definition of objects has been verified by a fairly large set of behavioral experiments, including, for example, MOT and attention blink, which consistently demonstrated that while object identity can survive various non-topological changes, the topological change disturbs its object continuity, being perceived as an emergence of a new object. Companion fMRI experiments revealed the involvement of anterior temporal lobe, a late destination of the visual form pathway, in the topological perception and the formation of perceptual objects defined by topology. This contrast of global-first in behavior and late destination in neuroanatomy raises far-reaching issues regarding the formation of object representations in particular, and the fundamental question of "where to begin" in general.

Lin Chen is director and professor of State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, and director of Beijing MRI Center for Brain Research. Professor Chen is the member of Chinese Academy of Sciences since 2003, and the member of the Academy of Sciences for the Developing World (TWAS) since 2009. His research interests include experimental psychology, cognitive science, visual cognition, and human brain mapping. In 1980-83, Professor Chen was a visiting scholar and sloan foundation postdoctoral fellow at University of California, San Diego, and at Irvine; He was professor of University of Science and Technology of China In 1985-2000, and professor and director in Beijing Laboratory of Cognitive Science, Chinese Academy of Sciences (Graduate School, Chinese Academy of Sciences) in 1986-2008. He was a guest professor at University of Regensburg and University of Munich in 2002-2004, and an adjunct investigator of National Institute of Mental Health, US. Professor Chen was awarded the Outstanding Scientist Prize by Qiushi Science & Technology Foundation in 2004. Professor Chen has published many international journal articles and conference papers, including:

(1) Zhou, K., Huan, L., Zhou T.G., Zhuo Y., and Chen, L. (2010). Topological change disturbs object continuity in attentive tracking. PNAS, 107(50), 21920-21924.
(2) Wang, B., Zhou, T.G., Zhuo, Y., and Chen, L. (2007). Global Topological Dominance in the Left Hemisphere. PNAS, 104, 21014-21019.
(3) Chen, L. (2005). The topological approach to perceptual organization (invited lead paper). Visual Cognition, 12, 553-637.
(4) Zhuo, Y., Zhou, T.G., Rao, H.Y., Wang, J.J., Meng, M., Chen, M., Zhou, C., Chen, L. (2003). Contributions of the visual ventral pathway to long-range apparent motion. Science, 299, 417-420.
(5) Chen, L., Zhang, S.W., Srinivasan M. (2003). Global perception in small brains: Topological pattern recognition in honeybees. PNAS, 100, 6884-6889.
(6) Chen, L. (1982). Topological structure in visual perception. Science, 218, 699-700.

Professor D. Frank Hsu

(joint talk with Takehito Ito, Christina Schweikert, Tetsuya Matsuda, and Shinsuke Shimojo)
Fordham University, USA

Combinatorial Fusion Analysis in Brain Informatics: Gender Variation in Facial Attractiveness Judgment

Information processing in the brain or other decision making systems, such as in multimedia, involves fusion of information from multiple sensors , sources, and systems at the data, feature or decision level. Combinatorial Fusion Analysis(CFA) , a recently developed information fusion paradigm, uses combinatorial method to model the decision space and the rank-score characteristic(RSC) function to measure cognitive diversity. In this talk, we will first introduce CFA and its practice in a variety of application domains such as computer vision & target tracking, information retrieval & internet search, and virtual screening & drug discovery. We then apply CFA to investigate gender variation in facial attractiveness judgement on three tasks: liking, beauty and proxy using RSC function. It is demonstrated that the RSC function is useful in the differentiation of gender variation and task judgement, and hence can be used to compliment the notion of correlation which is widely used in statistical decision making. In addition, it is shown that CFA is a viable approach to deal with various issues and problems in brain informatics.

D. Frank Hsu is the Clavius Distinguished Professor of Science and professor of computer and information science at Fordham University in New York city. He has been visiting professor /scholar at University of Parid-Sud(and CNRS),Taiwan University, Tsing Hua University(Hsin-chu, Taiwan), Keio University, JAIST, Boston University and MIT. Hsu's research interests include combinatorics and graph theory, network interconnection and communications, and computing, informatics and analytics. An information fusion method he and his colleagues proposed and developed, Combinatorial Fusion Analysis, has been applied to target tracking, internet search, virtual screening, bioinformatics and brain informatics. Hsu has served on several editorial boards including Journal of Interconnection Networks, Pattern Recognition Letter, IEEE Transactions on Computers, Networks, International journal of Foundation of Computer Science, and Journal of Ubiquitous Computing and Intelligence. Hsu is a Fellow of the New York Academy of Sciences, the Institute of Combinatorics and Applications, and International Society of Intelligent Biological Medicine. He is currently Vice Chair of the New York Chapter of the IEEE Computational Intelligence Society.

Professor Zhongtuo Wang

Dalian University of Technology, China

Xuesen Qian Memoriam Invited Talk

Study of System Intuition by Noetic Science Founded by QIAN Xuesen

This talk investigates the meaning, contents and characteristics of systems institution on the basis of Noetic Science, which was founded by Qian Xuesen. The systems intuition is the human capability to find the hidden system imagery of the object or to create an imagery of new system. The basic noetic foundation of system intuition and cultural influence to it are studied. The open problems are also listed.

Professor Zhongtuo Wang is affiliated with School of Management, Dalian University of Technology (DUT). He is the director of Research Center of Knowledge Science and Technology in DUT. Professor Wang is the member of Chinese Academy of Engineering. In 1950s Professor Wang joined Department of Electrical Engineering, DUT. As the founder of Department of Control Engineering of DUT, he made a lot of contributions to the teaching and research in the field of optimal control and computer applications. In the year of 1977, he transferred to the area of systems engineering. He was one of the pioneers in systems engineering in China (e.g. research and practice, PhD program, etc.) and had served as vice-president of Systems Engineering Society of China. He is the founder of Institute of Systems Engineering - DUT and devoted himself to research on decision analysis, complex adaptive system and network optimization. He acted as the principal investigator for a lot of practical projects on systems engineering practice, including the strategic analysis of regional economic development, production planning of petroleum refinery, planning and scheduling of the construction projects, and impact study of information technology to the management transformation. Besides, Professor Wang developed graduate programs on systems engineering and later on management science for DUT. During 1986-1988, Professor Wang have been worked in the International Institute for Applied Systems Analysis (IIASA) in Vienna, Austria. He served as the coordinator of an intenational collaborative project and designed the 1st Decision Support System for Regional Development and Planning of China, well-known internationally for his outstanding contributions. Professor Wang has published 14 books, 9 translations and more than 140 papers and reports. He had received 2 national awards, 9 awards from ministries of Chinese government. Professor Wang is now engaged in research on knowledge management and technological innovation.

Professor Yulin Qin

(joint talk with Ning Zhong)
The International WIC Institute, Beijing University of Technology, and Department of Psychology, Carnegie Mellon University

Herbert Simon Memoriam Invited Talk

Study of Problem Solving Following Herbert Simon

Herbert Simon (1916.6.15 - 2001.2.9) was one of the greatest pioneers in cognitive science and artificial intelligence, as well as in behavior economics and many other fields. Problem solving was his core work in artificial intelligence and cognitive psychology. He and Newell first postulated a general and systematic framework of human (and machine) problem solving as iteratively applying operators to transform the state of the problem from the starting state in problem state space to eventually achieve the goal state. Heuristic problem solving includes two basic components: heuristic searching (such as means-ends analysis) and heuristic rules (used to change the problem states). And then, he extended this framework in two dimensions. One is applying this framework to creative learning and scientific discovery (both were thought as specific ill-structured problem solving tasks); the other is to elaborate this general framework with more detailed models in memory (such as chunk structure in short term memory) and the knowledge (and problem) representations, including the knowledge structure difference between experts and naives, diagrammatic representation and mental imagery. To meet the challenge of Web intelligence and to pioneer the effective and efficient ways of information processing at Web scale, as the first step, we would learn this process from human brain, one of the greatest webs, based on Simon and Newell's framework in problem solving. We have found that, even in the basic application of heuristic rules, the processes are distributed in several major parts of brain and with certain areas for the communications across these networks. We have checked the brain activations in regard to working memory and mental imagery in problem solving. We have also found the evidences supporting the hypothesis that the scientific discovery is a specific problem solving from neural activations that central brain areas activated in scientific discovery overlapping with the areas in general problem solving tasks. These findings offer strong clues for how to solve problems at Web scale.

Yulin Qin is a distinguished professor in the International WIC Institute, Beijing University of Technology, and a senior research psychologist in the department of psychology, Carnegie Mellon University. Professor Qin received M.E (1982) in computer science and engineering at Beijing University of Aeronautics and Astronautics, and Ph.D. (1992) in cognitive psychology at Carnegie Mellon University with Herbert Simon as advisor. His research interests include cognitive psychology, cognitive neuroscience and Web Intelligence, and currently focus on the neural basis of ACT-R, a computational cognitive architecture, and its various industrial applications, including in Web Intelligence.

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Last Updated on April 1, 2011.