Prof. Shing-Tai Pan, National University of Kaohsiung, Taiwan
Shing-Tai Pan, is a distinguished academic in the field of computer science and engineering. He earned his M.S. degree in Electrical Engineering from National Sun Yat-Sen University, Kaohsiung, Taiwan, in 1992, followed by a Ph.D. from National Chiao Tung University, Hsinchu, Taiwan, in 1996. Since 2006, he has been a Professor in the Department of Computer Science and Information Engineering at the National University of Kaohsiung, Taiwan. Prof. Pan is an active member of several professional organizations, including the Taiwanese Association for Artificial Intelligence (TAAI), the Chinese Automatic Control Society (CACS), and The Association for Computational Linguistics and Chinese Language Processing (ACLCLP). His research interests encompass biomedical signal processing, digital signal processing, speech recognition, evolutionary computations, artificial intelligence applications, and intelligent control system design.
SCOPUS
ORCID
Summary of Suitability for the Best Researcher Award: Shing-Tai Pan
Shing-Tai Pan is a distinguished academic and researcher whose extensive contributions to the fields of biomedical signal processing, speech recognition, and artificial intelligence make him a highly suitable candidate for the Best Researcher Award. With a career spanning over two decades, his work reflects innovation, collaboration, and a commitment to advancing technology for societal benefits.
Education
- M.S. in Electrical Engineering
- Institution: National Sun Yat-Sen University, Kaohsiung, Taiwan
- Year: 1992
- Ph.D. in Electrical Engineering
- Institution: National Chiao Tung University, Hsinchu, Taiwan
- Year: 1996
Work Experience
- Department of Computer Science and Information Engineering
- Position: Professor
- Institution: National University of Kaohsiung, Kaohsiung, Taiwan
- Joined: 2006
Professional Memberships
- Taiwanese Association for Artificial Intelligence (TAAI)
- Chinese Automatic Control Society (CACS)
- The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Research Interests
- Biomedical Signal Processing
- Digital Signal Processing
- Speech Recognition
- Evolutionary Computations
- Artificial Intelligence Applications
- Intelligent Control Systems Design
Publication Top Notes:
Fuzzy‐HMM modeling for emotion detection using electrocardiogram signals
Performance Improvement of Speech Emotion Recognition Systems by Combining 1D CNN and LSTM with Data Augmentation
Editorial for special issue entitled “CACS2020: Applications of emerging intelligent techniques on modeling and control of modern systems”
Editorial for special section “CACS18: Modelling and control for practical systems”
Efficient robust speech recognition with empirical mode decomposition using an FPGA chip with dual core