alexa Shinq Jen Wu | Da-Yeh University
ISSN: 2161-0940

Anatomy & Physiology: Current Research
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Shinq Jen Wu

Shinq Jen Wu Editor-in-Chief
Shinq-Jen Wu
Da-Yeh University

Shinq-Jen Wu received the B.S. degree in chemical engineering from the National Taiwan University, Taipei, Taiwan, R.O.C., in 1986; the M.S. degree in chemical engineering from the National Tsing-Hua University, Hsinchu, Taiwan, R.O.C., in 1989; the M.S. degree in electrical engineering from the University of California, Los Angeles, CA, in 1994; and the Ph.D. degree in electrical and control engineering from the National Chiao-Tung University, Hsinchu, Taiwan, R.O.C., in 2000. From September 1989 to July 1990, she was with the Laboratory for Simulation and Control Technology of the Chemical Engineering Division of Industrial Technology Research Institute, Hsinchu, Taiwan, R.O.C. Since then until 1991, she joined the Chemical Engineering Department, Kao-Yuan Junior College of Technology and Commerce at Kaohsiung, Taiwan, R.O.C. From 1995 to 1996, she was an engineer at the Integration Engineering Department, Macronix International Co., LTD, Hsinchu, Taiwan, R.O.C. She now join the Electrical Engineering Department, Da-Yeh University, Chang-Hwa, Taiwan, R.O.C. She is a member of PHI-TAU-PHI Scholastic Honor Society. She is the editor of journal Advances in Fuzzy Sets and Systems, International Journal of Advanced Robotic Systems, Global Journal of Cancer Therapy and Journal of Food Science and Nutrition Therapy. Her name is included in Asian Admirable Achievers, in Asia/American Who’s Who, in Asia/Pacifica Who’s Who, and in Marquis Who's Who in Science and Engineering/in the World/in America/in Asia. She is a Life Fellow of the International Biographical Association. She is a Scientific Adviser to the IBC Director General. She got 21st Century Award for Achievement from IBC and The Albert Einstein Award of Excellent from ABI. Her research interests include ergonomics-based smart car, Petri-net modeling for cancer mechanism, bio-inspired intelligent techniques for the inference of biological systems, soft-sensor for on-line tuning, optimal GA-fuzzy-neural modeling, control and tracking, and optimal fuzzy estimation/tracking/regulation.

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Anatomy and Physiology, Cancer Research, Science and Technology's current Trends

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