Prof. Dr. Chao-Ming Wang | Computer Vision | Best Researcher Award

Prof. Dr. Chao-Ming Wang, Department of Digital Media Design / National Yunlin University of Science and Technology, Taiwan

Chao-Ming Wang is a Professor at the Department of Digital Media Design at National Yunlin University of Science and Technology (YunTech), Taiwan, where he has been serving since 2008. He holds a Ph.D. in Computer Science and Information Engineering from National Chiao Tung University, Taiwan, and has a rich career spanning academia and research. Prior to his current role, Dr. Wang was an Associate Professor at Yuan Ze University and has also held senior specialist positions at the National Chung Shan Institute of Science and Technology. His research interests encompass signal processing, computer vision, tech art, and interactive multimedia design. Dr. Wang has been an active leader in professional organizations, including serving as the President of the Taiwan Society of Basic Design and Art from 2010 to 2013. He is also deeply involved in the Taiwanese digital media community through his roles in various associations such as the Taiwan Art & Technology Association and the Taiwan Association of Digital Media Design.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Dr. Chao-Ming Wang is a highly esteemed researcher and academic whose work spans signal processing, computer vision, tech art, and interactive multimedia design. With over four decades of experience in the field, Dr. Wang has made significant contributions to both the academic and industrial domains, establishing himself as a pioneer in integrating technology and art.

🎓 Education

Ph.D. in Computer Science and Information Engineering
🏫 National Chiao Tung University, Hsinchu, Taiwan
📅 1987–1993
M.Sc. in Computer Science and Information Engineering
🏫 National Chiao Tung University, Hsinchu, Taiwan
📅 1980–1982
B.Sc. in Computer Science
🏫 National Chiao Tung University, Hsinchu, Taiwan
📅 1976–1980

💼 Work Experience

Professor
🏫 National Yunlin University of Science and Technology (YunTech), Taiwan
📅 Aug 2021 – Present
📍 Department of Digital Media Design
Associate Professor
🏫 YunTech, Taiwan
📅 2008 – 2021
Associate Professor
🏫 Yuan Ze University, Taoyuan, Taiwan
📅 2003 – 2008
📍 Department of Information Communication
Senior Specialist
🏢 National Chung Shan Institute of Science and Technology
📅 1982 – 2003

🏆 Achievements & Leadership Roles

🧑‍🎓 Head, Dept. of Digital Media Design, YunTech (2010–2013)
🎨 President, Taiwan Society of Basic Design and Art (2010–2013)
💡 Director, Design-led Innovation Center, YunTech (2016–2017)
🧑‍🏫 Executive Director, Taiwan Association of Digital Media Design (2015–2021)
🤝 Director, Taiwan Art & Technology Association (2013–2023)
🏅 Director of Honor, Taiwan Society of Basic Design and Art (2014–present)
🧠 Permanent Member, Chinese Image Processing and Pattern Recognition Society (2003–present)

🔬 Research Interests

🎛️ Signal Processing
👁️ Computer Vision
🖼️ Tech Art
🎮 Interactive Multimedia Design

Publication Top Notes:

Design of an Interactive Exercise and Leisure System for the Elderly Integrating Artificial Intelligence and Motion-Sensing Technology

Combining Interactive Technology and Visual Cognition—A Case Study on Preventing Dementia in Older Adults

The design of a new interactive multimedia system based on computer vision and multi-sensing techniques for the traditional ritual process

Design of a Gaze-Controlled Interactive Art System for the Elderly to Enjoy Life

Design of a Technology-Based Magic Show System with Virtual User Interfacing to Enhance the Entertainment Effects

Design and Assessment of an Interactive Role-Play System for Learning and Sustaining Traditional Glove Puppetry by Digital Technology

The Design of a Novel Digital Puzzle Gaming System for Young Children’s Learning by Interactive Multi-Sensing and Tangible User Interfacing Techniques

Using Digital Technology to Design a Simple Interactive System for Nostalgic Gaming to Promote the Health of Slightly Disabled Elderly People

Combining Augmented Reality and Multi-User Remote Collaboration to Improve Sustainable Agriculture and Economy

Dr. Jinxin Cao, China University of Petroluem, Beijing, China

Jinxin Cao is a Doctor of Engineering and a PhD student at the China University of Petroleum, Beijing. Since joining the institution in August 2018, he has focused on the integration of artificial intelligence with energy and mining, specializing in computer vision in microfluidics, signal processing, and time series analysis. His research covers a broad spectrum, including tight oil development, microfluidics, interfacial mechanisms, and numerical simulation. Cao has led over 15 major projects, including special projects, joint fund integrations, and comprehensive scientific research initiatives. He has achieved significant breakthroughs in microfluidic image processing, elucidating interface evolution laws and mechanical mechanisms, which are pivotal for advancing “Lab on a Chip” technologies. Additionally, he has applied signal processing techniques to petroleum engineering, utilizing empirical mode decomposition and Hilbert-Huang transforms to analyze and predict oil well production. His contributions include 11 published papers (8 indexed by SCI/EI), 5 granted patents, and 6 accepted articles. Cao has also earned 20 awards in science, technology, and competitions, highlighting his impact in his field

Summary of Suitability for Best Researcher Award:

Jinxin Cao is currently pursuing a PhD at China University of Petroleum, Beijing (CUPB) and has been a part of the institution since August 2018. His research focuses on artificial intelligence applications in petroleum engineering, including computer vision in microfluidics, signal processing, and time series analysis. With a total experience of 6 years at CUPB, he has made significant contributions to various interdisciplinary fields.

Work Experience:

Position: Doctor of Engineering
Department: College of Petroleum Engineering
Institution: China University of Petroleum, Beijing
Duration: August 2018 – Present
Experience: Jinxin Cao has been engaged in artificial intelligence with a focus on computer vision in microchips, signal processing, time series processing, tight oil development, microfluidics, and interfacial mechanisms. He has been involved in over 15 major projects, including special projects, joint fund integration projects, and comprehensive scientific research endeavors. His work has led to significant breakthroughs in microfluidic image processing, uncovering interface evolution laws and mechanical mechanisms in microfluidic processes using computer vision methods. Additionally, Cao has applied signal processing techniques to petroleum engineering, utilizing empirical mode decomposition and Hilbert-Huang transform to analyze oil well production and predict future production using artificial intelligence methods.

Publication top Notes: