Special Session IV: Computational Intelligence of Automatic Optical Inspection
Chairman: Prof. Chuan-Yu Chang, National Yunlin University of Science and Technology, Taiwan
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Dr. Chuan-Yu Chang (IET Fellow, IEEE Senior Member) received his Ph.D. in Electrical Engineering from National Cheng Kung University, Taiwan, in 2000. He is currently a Distinguished Professor in the Department of Computer Science and Information Engineering at National Yunlin University of Science and Technology (YunTech) and serves concurrently as the President of the university. He previously held several leadership positions at YunTech, including Chair of the Department of Computer Science and Information Engineering, Dean of Research and Development, and Director of the Incubation Center for Academia-Industry Collaboration and Intellectual Property. He also served as the Deputy General Director of the Service Systems Technology Center at the Industrial Technology Research Institute (ITRI), Taiwan.
Dr. Chang has long been devoted to research in computational intelligence and its applications, including medical image analysis, automated optical inspection, emotion recognition, and pattern recognition. He has published more than 300 journal and conference papers. In terms of academic service, he has served as General Chair and Program Chair for numerous international conferences, as well as Chair of the IEEE Signal Processing Society Tainan Chapter and Regional Representative for the Asia-Pacific Region. He also served as President of the Chinese Image Processing and Pattern Recognition Society (IPPR).
He has received numerous honors for his outstanding research and industry–academia contributions, including the National Industry-Academia Collaboration Master Award from the Ministry of Education (2021), the Outstanding Electrical Engineering Professor Award from the Chinese Institute of Electrical Engineering (2021), recognition as the IEEE Consumer Technology Society Most Featured People (October 2022), being listed among the World’s Top 2% Scientists by Stanford University (2022–2025), the Distinguished Engineering Professor Award from the Chinese Institute of Engineers (2023), and the Future Tech Award from the National Science and Technology Council (2020, 2023).
Chairman: Prof. Chien-Chou Lin, National Yunlin University of Science and Technology, Taiwan
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Chien-Chou Lin is working as a Professor and the chair at the Department of Computer Science and Information Engineering at the National Yunlin University of Science and Technology, Taiwan. He received his Ph.D. and M.S. degrees in computer science from National Chiao Tung University, Hsinchu, Taiwan, in 2004 and 1994, respectively, and his B.S. degree in computer science from Tatung Institute of Technology, Taipei, Taiwan, in 1992. He has been an Assistant Processor of the Computer Science and Information Engineering Department, at Shu-Te University, Kaohsiung, Taiwan, since 2004. His research interests lie in robotics, computer vision, object recognition, shape matching, point cloud semantic segmentation, and machine learning. He was the Best Paper Awardee of the 2023 IEEE 6th International Conference on Knowledge Innovation and Invention (IEEE ICKII 2023) in 2023. He serves as a reviewer on several conferences and journals, including IEEE Sensors Journal, IEEE Access, Robotica, IEEE ICKII2023, TAAI2023, IWAIT 2024, etc.
This special session aims to foster collaboration and knowledge exchange among researchers interested in Automatic Optical Inspection and AI for Industrial Applications. The session will focus on various aspects of computational intelligence in industrial inspection and medical image applications, including but not limited to:
1. Multi-Sensor Image Processing for Industrial Inspection and Medical Image Applications2. Deep Learning based Image Recognition for Industrial Inspection and Medical Image Applications
3. Image processing for Industrial Inspection and Medical Image Applications
4. Intelligent Vision Analysis for Industrial Inspection and Medical Image Applications
5. Multi-Sensor Fusion for Industrial Inspection and Medical Image Applications
6. Other Computer Vision Technologies for Industrial Inspection and Medical Image Applications
This special session aligns with the core themes of ICCCI 2024, addressing the integration of computational intelligence in solving real-world challenges. By exploring applications in industrial inspection and medical imaging, we aim to contribute to the collective intelligence of the conference.
Submission Guidelines:
Please submit your manuscript through the online system at https://zmeeting.org/submission/iccci2027, and ensure that you select "Special Session IV" as the target channel for your submission.