Call for Participants
IEEE CIS Distinguished Lecture and R10 Distinguished Technical Seminar

Sponsored by
IEEE Computational Intelligence Society, IEEE Computational Intelligence Society Japan Chapter, IEEE Region 10, IEEE Tokyo Section

Date:     Sept. 24, 2010 13:00 ―18:00
Venue:     Tokyo Metropolitan University, Minami-Osawa Campus, Room #1-120
http://www.tmu.ac.jp/english/Campus_Map/access.html
Participation Fee: Free

Program:

13:00―13:15    Opening

13:15―14:15    Distinguished Lecture, IEEE Computational Intelligence Society
Title: An Introduction to Evolutionary Computation: Darwinian Thinking for Problem Solving
Lecturer: Dr. David Fogel
Chairman of the Board, Natural Selection, Inc., USA,
Former President of IEEE Computational Intelligence Society

14:25―15:25     Distinguished Technical Seminar, IEEE Region 10 Technical Activities
Title: Collision Maps and Applications to Multi-Robot Management
Lecturer: Prof. Beom Hee Lee
Seoul National University, South Korea,
President of the IEEE Robotics and Automation Society Korea Chapter

15:35―16:35    Distinguished Technical Seminar, IEEE Region 10 Technical Activities
Title: Smart Health Management Technology
Lecturer: Dr. Hiroshi Nakajima
Omron Corporation, Japan,

16:45―17:45    Distinguished Technical Seminar, IEEE Region 10 Technical Activities
Title: Disaster Victim Identification: Automatic Dental Radiograph Image Recognition Using Fuzzy Approach
Lecturer: Dr. Rahmat Widyanto
University of Indonesia, Indonesia

17:45―18:00    Closing

Contact:
Naoyuki Kubota
Tokyo Metropolitan University
Organizing Committee Chair
FAN2010 / iFAN 2010
Phone & Fax: +81-42-585-8441
E-mail: kubota@tmu.ac.jp

Toshio Fukuda
Nagoya University
Technical Activities Coordinator
IEEE Region 10
Phone +81-52-789-4478
Email: fukuda@mein.nagoya-u.ac.jp

Takeshi Furuhashi
Nagoya University
Chair
IEEE CIS Japan Chapter
Phone +81-52-789-5315,Fax --3166
Email: furuhashi@cse.nagoya-u.ac.jp


PDF File:
IEEE CIS Distinguished Lecture and R10 Distinguished Technical Seminar


Related Events:
Fan 2010 / iFan 2010, Tokyo metropolitan University, September 25-26, 2010
http://www.sd.tmu.ac.jp/ifan2010/

Distinguished Lecture of IEEE Computational Intelligence Society

co-hosted by IEEE Computational Intelligence Society Japan Chapter


1. 13:15―14:15   
Title: An Introduction to Evolutionary Computation: Darwinian Thinking for Problem Solving
Lecturer: Dr. David Fogel
Chairman of the Board, Natural Selection, Inc., USA,
Former President of IEEE Computational Intelligence Society



Abstract: Evolutionary thinking provides the framework for understanding biology -- but it also extends beyond this discipline and can be used for good engineering purpose. The essential mechanisms of reproduction, variation, competition, and selection can be represented in a computer algorithm and used to generate successively better solutions to difficult real-world problems. Although these evolutionary algorithms have a long history, only recently have they become accepted as practical methods of optimization. Specific successful applications of evolutionary algorithms will be offered. Attendees will have a chance to see real-time applications of evolutionary computing and as time permits to compete against Blondie24, a checker program that evolved into an expert player.

Dr. Fogel's experience includes over 20 years of applying computational intelligence methods and statistical experimental design to real-world problems in industry, medicine, and defense. Prior to joining Natural Selection, Inc. in 1993, he was a Systems Analyst for Titan Systems, Inc. (1984-1988), and a Senior Principal Engineer at ORINCON Corporation (1988-1993). He received the Ph.D. in engineering sciences from the University of California at San Diego in 1992, and has subsequently taught undergraduate and graduate courses in evolutionary computation, stochastic processes, and statistical process control. Dr. Fogel has over 200 publications in the technical literature, the majority treating the science and application of evolutionary computation. He is the author of six books, including Blondie24: Playing at the Edge of AI, 2002, Evolutionary Computation: Toward a New Philosophy of Machine Intelligence (third edition), IEEE Press, 2006, How to Solve It: Modern Heuristics (second edition, co-authored by Professor Zbigniew Michalewicz of the University of North Carolina at Charlotte), Springer, 2005, and Evolutionary Computation: Principles and Practice for Signal Processing (SPIE, 2000) as well as the editor of Evolutionary Computation: The Fossil Record, IEEE Press, 1998, and co-editor-in-chief of the Handbook of Evolutionary Computation, Oxford University Press, 1997.
Dr. Fogel served as the founding editor-in-chief of the IEEE Transactions on Evolutionary Computation (1996-2002), which has a circulation of several thousand IEEE members and distribution in libraries internationally. He was the founding president of the Evolutionary Programming Society (1991-1993) and was elected a Fellow of the IEEE in 1999. He was the editor-in-chief of BioSystems, is on the editorial boards of several other technical journals, and was President of the IEEE Computational Intelligence Society.
Dr. Fogel served as the general chairman for the 2002 IEEE World Congress on Computational Intelligence, held in Honolulu, Hawaii, May 12-17, 2002, and was general chairman for the 2007 IEEE Symposium Series on Computational Intelligence in Honolulu, Hawaii, April 1-5, 2007.
Dr. Fogel has received several honors and awards, including the 2002 Sigma Xi Southwest Region Young Investigator Award, the 2003 Sigma Xi San Diego Section Distinguished Scientist Award, the 2003 SPIE Computational Intelligence Pioneer Award, the 2004 IEEE Kiyo Tomiyasu Technical Field Award, and most recently the 2007 IEEE Computational Intelligence Society Meritorious Service Award.

Distinguished Technical Seminar
IEEE Region 10 Technical Activities


2. 14:25―15:25   
Title: Collision Maps and Applications to Multi-Robot Management
Lecturer: Prof. Beom Hee Lee
Seoul National University, South Korea,
President of the IEEE Robotics and Automation Society Korea Chapter



Abstract: This lecture is to overview the current issues and problems in multi-robot management. The concept of multi-robot systems is extended to that of multi agent systems in terms of operation and management for various applications. Conventional collision avoidance issues are particularly addressed through the concept of the collision map and its analysis and synthesis. Time scheduling of the robot motion and path generating motion planning will be discussed using the collision maps. Several industrial practices will also be addressed with discussions on practicality and limitations in managing the multi agent systems by the collision map.

Beom Hee Lee received the B.S. and M.S. degrees in electronics engineering from Seoul National University, Seoul, Korea, in 1978 and 1980, respectively, and the Ph.D. degree in Computer, Information and Control Engineering from the University of Michigan, Ann Arbor in 1985. From 1985 to 1987, he was with the School of Electrical Engineering, Purdue university, West Lafayette, Indiana, as an Assistant Professor. He joined the faculty of the Department of Control and Instrumentation Engineering, Seoul National University, as an Assistant Professor in 1987. He is currently a Professor of the School of Electrical Engineering, Seoul National University. He has published more than 320 technical papers mainly in robotics. He is a Fellow in IEEE Robotics and Automation Society and ICROS Society. He was the president of the Korea Robotics Society in 2009. He is now the president of the IEEE Robotics and Automation Korea Chapter. His main research interest includes multiple robots, multiple agent systems, unmanned underwater vehicle (UUV), advanced C SLAM, and Navigation for mobile robots. He was the Dean of Information and Systems Technology Headquarter in Seoul National University during 2008-2010.

Distinguished Technical Seminar
IEEE Region 10 Technical Activities


3. 15:35―16:35
Title: Smart Health Management Technology
Lecturer: Dr. Hiroshi Nakajima
Omron Corporation, Japan,



Abstract: In this talk, the generalized smart health management technology is proposed in response to increasing of continuously changing complex systems. The important idea of the technology is cyclical evolvement based on causality which illustrates conditions of target systems. The causality and cause-effect structure should be used as problem-solving knowledge, which is composed of feature attributes extracted from sensing data and intermediate characteristics. In this sense, cause-effect structure could evolve and could be updated according to sophistication of sensing and control mechanisms. One of the important features of the cause-effect structure is transparency to humans. It enables improvement of the structure through human-machine collaboration. This feature’s importance issues from the integration of human knowledge and sensing data will bring a powerful and sophisticated solution for complex problems. Besides the introduction to smart health management technology, its applications related to human health, machine, and energy consumption will also be introduced and discussed.

Hiroshi Nakajima received the B.Eng. degree in System Engineering from Kobe University, Japan, in 1985, and Ph.D. degree in Systems Information Science from Kumamoto University, Japan, in 2004. He has worked for Omron Corporation in the corporate research and development division from April 1985 to present. Currently, he is the Senior Technology Specialist of the corporation. During these 25 years, he has researched and developed many technologies and products related to intelligent systems such as expert systems, intelligent robots, neural network and fuzzy systems, mind model and life-like agents, pet robots, speech recognition and dialogue systems, automated sensory inspection systems, visceral fat measure, and healthcare systems for human, machine, and energy systems. His interests are analysis and design of intelligent systems especially employing soft computing technologies based on humans & machines collaboration. Currently, he focuses on the general solution for improvement of health in humans, machines, and energy consumptions by applying sensory inspection and computational intelligence. He is a member of IEEE SMC, ACM, AAAI, SOFT, JSAI, SICE, IPSJ, and JSKE. He received the best paper award from Interaction’99 in 1999, the best author award from Information Processing Society of Japan in 2000, the Industrial Outstanding Application Award from International Fuzzy Systems Association in 2007, the best paper award from Japan Society for Fuzzy Theory and Intelligent Informatics in 2009.

Distinguished Technical Seminar
IEEE Region 10 Technical Activities

4. 16:45―17:45   
Title: Disaster Victim Identification: Automatic Dental Radiograph Image Recognition Using Fuzzy Approach
Lecturer: Dr. Rahmat Widyanto
University of Indonesia, Indonesia



Abstract: The disaster victims usually suffered heavy decays in their whole body especially in their faces and palms which make the police or the family difficult to identify. Dental biometrics technology can be used also to identify the victims because dental teeth have hard structure & unique characters, they are not easily to be broken, and are located protectively in a human cranium. In this talk, it will be discussed the development of an automatic dental radiograph image recognition using fuzzy approach. The dental or panoramic radiograph image matching using fuzzy method is developed by using detail information of anatomic structures, which are able to deal with noise & distortion. The output of this research is be used in the disaster victim identification management system, so that the reconciliation phase can be carried out in a more accurate and faster process.


Dr. Rahmat Widyanto received the B.Sc. in Computer Science from the University of Indonesia in 1998, the M.Eng. and the Dr.Eng. in Computational Intelligence from the Tokyo Institute of Technology, Japan in 2003 and 2006, respectively. He is currently an Associate Professor at the
Faculty of Computer Science, University of Indonesia. He was a Visiting Scholar at Department of Applied Information Sciences, Tohoku University, Japan in 2009. His research interests include multimedia understanding & analysis, soft computing, and machine learning.
Dr. Widyanto is the Secretary General of the Indonesia Society for Soft Computing (SC-INA). He is the Program Chair of IFSA-AFSS 2011 (ifsa2011.eepis-its.edu) which will be held in Bali Island of Indonesia. He is also a Program Committee Member of FUZZ-IEEE 2011 (fuzzieee2011.nutn.edu.tw) which will be held in Taiwan. He is an Indonesian key-member of MIR (Machine Intelligence Research) Labs International Networks. He also serves as an Expert on Indonesia Government National Standardization Agency. Dr. Widyanto has received a number of awards including the University of Indonesia Young Scientist Award in 2008 and Best Researcher Award in 2009.

The list of lectures and seminars