Prof. Chih-Yang Lin, Machine Learning, Best Researcher Award
PHD at National Chung Cheng University, Taiwan
Chih-Yang Lin (林智揚) is a distinguished professor and accomplished researcher in computer science and electrical engineering. Currently a professor in the Department of Mechanical Engineering at National Central University, Taiwan, he previously held key leadership roles at Yuan Ze University. Lin’s expertise spans deep learning, machine learning, computer vision, and multimedia security. Notable for his impactful research, he earned various awards, including Best Paper and Outstanding Research accolades. As a sought-after keynote speaker, Lin contributes significantly to international conferences. His dynamic career reflects a commitment to advancing knowledge and innovation in diverse fields, marking him as a distinguished figure in academia.
Professional Profiles:
Educational Background:📚
Ph.D., Computer Science and Information Engineering, National Chung Cheng University, Taiwan (09/2002 – 09/2006) Dissertation: Data Mining and Its Applications to Image Processing.
Employment History:
Professor, Department of Mechanical Engineering, National Central University, Taoyuan, Taiwan (02/2023 – Present) Dean of International Academy & Professor, Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan (08/2022 – 01/2023) Chief of Global Affairs Office & Professor, Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan (08/2021 – 01/2022) Deputy Chief of Global Affairs Office & Professor, Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan (08/2019 – 07/2021) And several other academic roles spanning various universities.
Professional Skills:
- Deep Learning and Machine Learning
- Computer Vision and Image Processing
- Multimedia Security
- Signal Processing
- Programming
Awards and Honors:
- Distinguished Professor, National Central University (2023 – Present)
- Several Best Paper Awards and Outstanding Research Awards
- IET Fellow (2022)
- Keynote Speaker at various international conferences
- Notable achievements in AI competitions and international collaborations.
Research Focus:
Chih-Yang Lin’s research primarily focuses on digital image processing and multimedia security. With a notable emphasis on reversible steganography, he has contributed groundbreaking work in lossless data hiding, employing techniques like block truncation coding and side matching. Lin’s expertise extends to haze effect removal, dynamic hand gesture recognition, and efficient dehazing methods. He has delved into feature-based sparse representation, perfect hashing schemes, and real-time background modeling. Lin’s research in identification and tracking of players in sport videos, along with his work on sequential dual attention networks for rain streak removal, showcases his diverse contributions to the fields of image processing and computer vision.
Publications (TOP NOTES)
Deep learning model to recognize the different progression condition patterns of manual wheelchair users for prevention of shoulder pain, Cited by 4, Publication date: 2020.
PreAugNet: improve data augmentation for industrial defect classification with small-scale training data, Cited by 4, Publication date: 2023.