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Chang-Wook Han, Ph.D.

School of Electrical Engineering & Computer Science

Yeungnam University

214-1 Dae-Dong

Gyongsan

Gyongbuk, 712-749

South Korea

Tel: +82-53-810-3927

Fax: +82-53-810-4629

http://eecs.yu.ac.kr/English/

cwhan@yumail.ac.kr

 

YU - Yeungnam University

Yeungnam University (YU), founded in 1967, is located in near the heart of Daegu city. The YU is recognized for excellence in research, instruction, and service to the profession in Korea. Since its foundation, the YU has enhanced a reputation as a prestigious university, with 150,000 graduates who are influential leaders domestically and internationally.

School of Electrical Engineering and Computer Science (EECS) at YU has played the most important role in development of the YU. The EECS divisor(divisions) founded in 2000 is composed of Electronic Engineering, Computer Engineering, and Information and Communication Engineering. The School offers Bachelor of Science degrees, Master of Science, and Doctor of Philosophy degrees. As of March 2002, the school has 37 faculty members who hold doctorate awarded from renowned international/domestic academic institutions, 7 adjunct faculty members, and 10 part-time lecturers. The student body is about 1800 with 1550 undergraduate students, 195 master students, and 53 doctorate students. Also, the school activities are supported by 2 administrative and 4 technical staffs. Research in the School encompasses virtually every specialty within electrical engineering and computer science. Each year, the EECS's distinguished faculties and modern facilities attract substantial external funding for educational and scientific research. Research support comes from a variety of sources, both government agencies such as KOSEF, KRF, ITA, SMBA, MOCIE, etc, and private industry, and totaled more than 2,087 million won in 2001. In 2000, the EECS at YU together with the EECS of Kyungpook National University have been selected the information technology field of the Brain Korea 21 (BK21) project conduced by the Ministry of Education. It permits the school to provide the student program such as scholarship, the in-language service training system, and special lectures, and encourages the school to reform the academic procedures and environments from undergraduate to the graduate programs. 22% of students at EECS benefit from various scholarship fund including university, BK21 project, and industrial companies. Research in the School encompasses virtually every specialty within electrical engineering and computer science. The main topics are: computational intelligence, soft computing, artificial intelligence, intelligent systems, data mining, and its applications.

 

Dr. Chang-Wook Han

received the B.S., M.S., and Ph.D. degrees in Electronic Engineering from Yeungnam University, Gyeongsan, Korea in 1994, 1996, and 2002, respectively. From 1996 to 1997, he worked as a researcher at Hyundai Heavy Industries Co., Ltd. During 2002-2003, he was a Post- doctoral Fellow in the Department of Electrical and Computer Engineering at the University of Alberta, Canada. He is currently a guest professor in the School of Electrical Engineering and Computer Science, Yeungnam University.  His areas of interest are computational intelligence, soft computing, artificial intelligence, intelligent systems, data mining, and its applications to solve the real life problems.  

 

YU1: H. Nobuhara, C. W. Han, K. Hirota: Max-plus Algebra based Evolutional Neural Networks and Their Application to Various Image Processings, Proc. of the IEEE World Congress on Computational Intelligence (Special Session - Soft Computing in Image Processing: Recent Advances), Vancouver, Canada, July 2006 (to appear).

YU2: C. W. Han, J. I. Park: Fuzzy Granulation-based Cascade Fuzzy Neural Networks Optimized by GA-RSL, Lecture Notes in Artificial Intelligence, Springer 2006 (to appear)

YU3: C. W. Han, J. I. Park: Adaptive-Partitioning-based Stochastic Optimization Algorithm and Its Application to Fuzzy Control Design, Lecture Notes in Artificial Intelligence, Springer 2006 (to appear)

YU4: C. W. Han, J. I. Park: Simulated Annealing Based Learning Approach for the Design of Cascade Architectures of Fuzzy Neural Networks, Lecture Notes in Computer Science, Springer 2006 (to appear)

YU5: C. W. Han, J. I. Park: SA-selection-based genetic algorithm for the design of fuzzy controller, International Journal of Control, Automation, and Systems, Vol. 3,  No. 2, pp. 236-243, June 2005.

YU6: S. W. Han, W. Pedrycz, C. W. Han: Nonlinear channel blind equalization using hybrid genetic algorithm with simulated annealing, Mathematical and Computer Modelling, Vol. 41, No. 6-7, pp. 697-709, March-April 2005.

YU7: C. W. Han, J. I. Park: A study on hybrid random signal- based learning and its applications, International Journal of Systems Science, Vol. 35, No. 4, pp. 243-253, April 2004.

YU8: W. Pedrycz, M. Reformat, C. W. Han: Cascade Architectures of Fuzzy Neural Networks, Fuzzy Optimization and Decision Making, Vol. 3,  No. 1, pp. 5-37, Mar. 2004.

YU9: C. W. Han: Genetic design of logic-based fuzzy controller, Electronics Letters, Vol. 40, No. 5, pp. 293-294, Mar. 2004.

YU10: C. W. Han, J. I. Park: Design of a Fuzzy Controller Using Random Signal-Based Learning Employing Simulated Annealing, Proc. of the 39th IEEE Conference on Decision and Control, pp. 396-397, Sydney, Australia, Dec. 2000.

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