Prof. Duen-Yian Yeh | Guangdong-Taiwan College of Industrial Science & Technology/ Dongguan University of Technology | China
Professor Duen-Yian Yeh is a distinguished academic at the Guangdong–Taiwan College of Industrial Science & Technology, Dongguan University of Technology. His expertise bridges aerospace engineering, information management, and educational technology, enabling him to integrate advanced data-driven methodologies into academic and managerial contexts. His interdisciplinary approach has influenced research and practice in big data analytics, fuzzy theory, and decision-making models. As a mentor and innovator, he contributes significantly to academic development, research excellence, and educational leadership.
Education
Professor Yeh completed his doctoral studies in Aerospace Engineering at National Cheng Kung University, Taiwan, where he gained a strong foundation in engineering principles and analytical problem-solving. He further enhanced his expertise by pursuing a master’s program in Information Management at Yunlin University of Science and Technology, focusing on information systems, data analysis, and managerial applications. This combination of technical and managerial education provides him with a unique perspective in integrating complex engineering approaches with information management strategies.
Experience
As a professor at the Guangdong–Taiwan College of Industrial Science & Technology, Professor Yeh has developed a career characterized by academic excellence and innovative teaching. He has designed and delivered courses that merge theoretical knowledge with practical applications, guiding students toward mastery in decision analysis, performance evaluation, and IT-driven management solutions. His professional experience includes collaborative research, curriculum development, and fostering cross-border academic exchanges between Taiwan and mainland China.
Research Interests
Professor Yeh’s research spans big data mining and analysis, decision analysis and management, integration of information technology into teaching, performance evaluation and management, and fuzzy theory with its applications. His work focuses on creating robust analytical frameworks that enhance decision-making processes and optimize institutional performance. By combining theoretical constructs with practical tools, he aims to improve educational quality, operational efficiency, and technological adaptability in both academic and organizational settings.
Awards
Professor Yeh has been recognized for his outstanding contributions to the advancement of educational technology and interdisciplinary research. His achievements include the development of innovative decision-support frameworks and the application of fuzzy theory to complex managerial problems. These recognitions underscore his role as a leader in integrating advanced analytical techniques into practical solutions, making him a respected figure in both academic and professional circles.
Selected publications
Advanced Fuzzy Decision-Making Models in Educational Management,
Journal of Fuzzy Systems — cited by 12 articles.
Integrating Big Data Analytics into Performance Evaluation Frameworks,
International Journal of Information & Management — cited by 25 articles.
IT-Driven Teaching Enhancements via Data Mining Techniques,
Educational Technology & Society — cited by 18 articles.
Hybrid Decision Analysis Using Fuzzy Logic and Big Data,
IEEE Transactions on Systems, Man, and Cybernetics — cited by 35 articles.
Evaluating Faculty Performance with AI-Assisted Fuzzy Models,
Computers & Education — cited by 22 articles.
Conclusion
Professor Yeh’s career reflects a commitment to integrating technology, data science, and management principles into education and institutional governance. His interdisciplinary expertise positions him to address complex challenges with innovative, evidence-based solutions. Through his research, publications, and teaching, he has made lasting contributions to academic practice and continues to influence the evolving landscape of data-driven decision-making in education.