Prof. Chi-Cheng Cheng | Visual Servo Awards | Best Researcher Award

Prof. Chi-Cheng Cheng, National Sun Yat-sen University, Taiwan

Chi-Cheng Cheng is a Professor in the Department of Mechanical and Electro-Mechanical Engineering at National Sun Yat-Sen University, Taiwan. He holds a Doctor of Science degree in Mechanical Engineering from the Massachusetts Institute of Technology, USA, and both a Master’s and Bachelor’s degree in Power Mechanical Engineering from National Tsing Hua University, Taiwan. Since joining National Sun Yat-Sen University, he has held several key academic and administrative positions, including Vice Dean of the College of Engineering, Chairman of the Department of Mechanical and Electro-Mechanical Engineering, and Director of the Engineering Technology Research & Promotion Center. He has also served as a Visiting Professor at Simon Fraser University and a Visiting Scholar at the University of British Columbia, Canada. His research interests span system dynamics and control, machine vision, intelligent robots, mechatronics, and man-machine interfaces. Throughout his career, he has received numerous awards, including the Excellent Teaching Award and the Excellent Research Award, recognizing his contributions to academia and industry-academia collaboration.

Professional Profile:

SCOPUS

Suitability of Dr. Chi-Cheng Cheng for the Best Researcher Award

Dr. Chi-Cheng Cheng is a highly distinguished researcher and professor in the Department of Mechanical and Electro-Mechanical Engineering at National Sun Yat-Sen University, Taiwan. With a Doctor of Science in Mechanical Engineering from MIT (1991), he has over three decades of academic and research experience, holding numerous leadership roles, including Vice Dean of the College of Engineering, Chairman of the Department, and Director of the Engineering Technology Research & Promotion Center.

🎓 Education

🏛 Doctor of Science in Mechanical Engineering – Massachusetts Institute of Technology, USA (April 1991)
🏛 Master of Science in Power Mechanical Engineering – National Tsing Hua University, Taiwan (June 1983)
🏛 Bachelor of Science in Power Mechanical Engineering – National Tsing Hua University, Taiwan (June 1981)

💼 Work Experience

👨‍🏫 Professor, Dept. of Mechanical and Electro-Mechanical Engineering (Feb. 2003–Present) – National Sun Yat-Sen University
👨‍🏫 Professor, College of General Education (Sep. 2003–Jul. 2024) – National Sun Yat-Sen University
🏛 Vice Dean, College of Engineering (Aug. 2017–Jul. 2020) – National Sun Yat-Sen University
🔬 Director, Engineering Technology Research & Promotion Center (Aug. 2017–Jul. 2020) – National Sun Yat-Sen University
🎓 Chairman, Dept. of Mechanical and Electro-Mechanical Engineering (Aug. 2014–Jul. 2017) – National Sun Yat-Sen University
🌍 Visiting Professor, School of Engineering Science (Feb. 2009–Jul. 2009) – Simon Fraser University, Canada
🌏 Dean, Office of International Affairs (Feb. 2007–Jan. 2009) – National Sun Yat-Sen University
⚙️ Adjunct Professor, Institute of Undersea Technology (Aug. 2003–Jul. 2014) – National Sun Yat-Sen University
📡 Visiting Scholar, Dept. of Electrical and Computer Engineering (Aug. 2002–Dec. 2002) – University of British Columbia, Canada
🔬 Director, Div. of Projects Management, Office of Research Affairs (Sep. 1998–Jul. 2002) – National Sun Yat-Sen University
👨‍🏫 Associate Professor, Dept. of Mechanical and Electro-Mechanical Engineering (Aug. 1991–Jan. 2003) – National Sun Yat-Sen University

🏆 Honors & Awards

🏅 Excellent Teaching Award – National Sun Yat-Sen University (2017, 2018, 2019, 2020)
🎖 Industry-Academy-Research Good Blue-chip Teachers – National Sun Yat-Sen University (2015, 2016)
🏆 Excellent Research Award – National Science Council, Republic of China (1998, 2001, 2002)
🎓 Fellowship of Ministry of Education – Republic of China (1984)
📜 Thesis Award – The Chinese Mechanical Engineers Society (1983)

Publication Top Notes:

A Visually Assistive Guidance System for Visually Impaired Pedestrians Passing Crosswalks

Detection of Hydrogen Bubbles Produced by Corrosion Inhibition of Metal Weldment Using Machine Learning

A Classifier of AMOLED-TFT Defect Images Based on a DNN Ensemble Framework

An Automatic Kiss Camera System Using Deep Neural Network Technique

A Human-Like Intelligent Swing System Using the Machine Vision Approach

Human-like Hitting Strategies for a Ball Bouncing Robot

Night pedestrian detection based on fuzzy reasoning

Prof Dr. Jong-Chen Chen, National YunLin University of Science and Technology, Taiwan

Jong-Chen Chen is a Full Professor in the Department of Information Management at the National Yunlin University of Science and Technology, Taiwan, where he has served since 2000. He earned his M.S. in Computer Science and Electrical Engineering from the University of Texas at Arlington in 1986 and his Ph.D. in Computer Science from Wayne State University in 1993. Dr. Chen is renowned for developing a neuromolecular model that abstracts biological structure-function relationships into a system’s structure, allowing for rich intraneuronal dynamics. This model enables the system to self-organize and learn, with applications in robotic maze navigation, image recognition, data differentiation, and more. His research spans areas such as evolvable hardware, brain-like computer simulation, bio-computing, evolutionary computation, and pattern recognition. He has published extensively in journals including Sensors, Applied Science, Biomimetics, Evolutionary Computation, and Neurocomputing.

Summary of Suitability for Best Researcher Award:

Dr. Jong-Chen Chen demonstrates strong qualifications for the “Best Researcher Award” due to his significant contributions
in various fields of computer science, robotics, and biomedical applications. He has extensive experience, having earned an
M.S. degree in computer science and electrical engineering and a Ph.D. in computer science. His academic journey,
particularly his tenure as a full professor since 2000, reflects a longstanding commitment to research and education.

Education:

M.S. in Computer Science and Electrical Engineering (1986)
- University of Texas at Arlington, USA
Ph.D. in Computer Science (1993)
- Wayne State University, USA

Work Experience:

Full Professor (2000 – Present)
- Department of Information Management, National Yunlin University of Science and Technology, Taiwan
- Developed a neuromolecular model (1993), abstracting biological structure-function relationships into system structure, specifically focusing on intraneuronal dynamics.

Key Contributions:

Applied neuromolecular models in fields like robotic maze navigation, image recognition, and biomimetic robotics.
Published research in prestigious journals including Sensors, Applied Science, Biomimetics, Algorithms, Evolutionary Computation, Neuro-computing, and BioSystems.

Research Interests:

Evolvable hardware
Brain-like computer simulation
Ecosystem simulation
Bio-computing
Artificial life
Molecular electronics
Evolutionary computation
Genetic programming
Pattern recognition

Publication top Notes:

Application of Artificial Neuromolecular System in Robotic Arm Control to Assist Progressive Rehabilitation for Upper Extremity Stroke Patients

Applying an Artificial Neuromolecular System to the Application of Robotic Arm Motion Control in Assisting the Rehabilitation of Stroke Patients—An Artificial World Approach