Prof. Dr. Hsien-Huang Wu, National Yunlin University of Science and Technology, Taiwan
Dr. Hsien-Huang Wu is a Distinguished Professor in the Department of Electrical Engineering at National Yunlin University of Science and Technology, Douliu, Taiwan. He received his B.S. and M.S. degrees in Telecommunication Engineering from National Chiao Tung University in 1982 and 1986, respectively, and earned his Ph.D. in Electrical and Computer Engineering from the University of Arizona in 1993. His research focuses on artificial intelligence and computer vision, particularly for automated optical inspection (AOI) applications. With extensive industrial collaboration, Dr. Wu has worked with over 50 companies to develop innovative systems for automated inspection and production, bridging academic research and practical implementation.
Professional Profile:
SCOPUS
Summary of Suitability for Best Researcher Award – Dr. Hsien-Huang Wu
Dr. Hsien-Huang Wu stands out as a leading figure in the application of artificial intelligence and computer vision to industrial inspection and measurement systems. With a career spanning over three decades and a Ph.D. from the University of Arizona, he currently serves as a Distinguished Professor at the National Yunlin University of Science and Technology, Taiwan—an acknowledgment of his academic stature and impact.
🎓 Education
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📍 B.S. in Telecommunication Engineering
National Chiao Tung University, Hsinchu, Taiwan – 1982
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📍 M.S. in Telecommunication Engineering
National Chiao Tung University, Hsinchu, Taiwan – 1986
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🌎 Ph.D. in Electrical and Computer Engineering
University of Arizona, Tucson, USA – 1993
💼 Work Experience
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👨🏫 Distinguished Professor
Department of Electrical Engineering, National Yunlin University of Science and Technology (NYUST), Douliu, Taiwan
– Current
🌟 Key Achievements
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🤖 Pioneering research in artificial intelligence and computer vision for automated optical inspection (AOI)
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🏭 Collaborated with 50+ companies to develop intelligent inspection and production automation systems
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🔬 Leader in applying cutting-edge AI techniques to real-world industrial measurement and inspection challenges
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📚 Significant contributor to academic and applied research in electrical and computer engineering
🏅 Awards & Honors
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🥇 Recognized as a Distinguished Professor at NYUST
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🏆 Multiple accolades and recognitions for industry collaboration and academic excellence
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🧠 Honored for impactful contributions to the field of automated inspection systems
Publication Top Notes:
Prototype design of an intelligent Internet of Things system combined green energy storage device
Distribution Analysis of Dental Plaque Based on Deep Learning
Automatic Optical Inspection for steel golf club