Prof. Din-Yuen Chan, National Chiayi University, Taiwan
Din-Yuen Chan is a prominent scholar in electrical engineering with extensive experience in visual signal processing and computer vision. He earned his Ph.D. in Electrical Engineering from National Cheng Kung University, Taiwan, in 1996. A member of the Visual Signal Processing and Communication Technical Committee (VSPC TC) since 2010, he served as the founding director of the Department of Electrical Engineering (2007–2011) and as Dean of the College of Science and Engineering at National Chiayi University (2017–2020). His research spans semantic object detection, video/audio coding, stereoscopic 3D, AI-based pattern recognition, and deep learning neural networks. In the past five years, he has published multiple SCI-indexed journal papers on topics such as stereo matching, instance segmentation, speaker diarization, depth estimation, and autonomous robotics. As a frequent corresponding author, he continues to lead innovations in applied AI and multimedia processing.
Professional Profile:
SCOPUS
Summary of Suitability for the Best Scholar Award
Dr. Din-Yuen Chan has maintained an outstanding academic career for over two decades, contributing significantly to the fields of electrical engineering and computer vision. His long-standing commitment to advancing knowledge is reflected in his leadership roles and consistent research output in areas such as semantic object detection, AI-based pattern recognition, video/audio coding, and stereoscopic 3D.
🎓 Education
💼 Work Experience
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🧠 Member, Visual Signal Processing and Communication Technical Committee (VSPC TC)
Since 2010
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🏛️ Founding Director, Department of Electrical Engineering, National Chiayi University
2007 – 2011
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🎓 Dean, College of Science and Engineering, National Chiayi University
2017 – 2020
🧪 Research Interests
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🔍 Computer Vision
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🎯 Semantic Object Detection
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🎞️ Video/Audio Coding
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🤖 AI-based Pattern Recognition
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🥽 Stereoscopic 3D
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🧠 Deep Learning Neural Networks
🏅 Achievements & Honors
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✍️ Published multiple SCI-indexed journal papers in high-impact venues, including:
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⭐ First or corresponding author in many significant papers on stereo matching, depth estimation, 3D object placement, and speaker diarization.
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🤖 Developed a low-cost autonomous outdoor robot with end-to-end deep learning navigation.
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🧏 Invented a new speaker-diarization technology using spectral-LSTM.
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🎓 Recognized leader in academia for establishing and leading research and administrative departments.
Publication Top Notes:
A new speaker-diarization technology with denoising spectral-LSTM for online automatic multi-dialogue recording
Natural-Prosodic Cross-Lingual Personalized TTS
New Efficient Depth Estimation and Real-Time Object 3D Recognition Models for Humanoid Robotic Environment Understanding
Rational 3D object placement based on deep learning based plane detection
INTEGRATED LIGHT-RESNET AND POOLFORMER NETWORKS FOR SHAPE-PRESERVING LANE DETECTION