Professor
Research Field
Dr. Kung-Jeng Wang is a Distinguished Professor of the Department of Industrial Management, School of Management, National Taiwan University of Science and Technology (Taiwan Tech), Taiwan, ROC. The school of Management is AACSB & EQUIS accredited. He is also the Director of Graduate Institute of Intelligent Manufacturing Technology, NTUST. Before the current affiliation, he served as a faculty member in the Industrial Engineering Department of Chung-Yuan Christian University (Taiwan) from 1997 to 2003, and in the Business Administration Department of National Dong Hwa University (Taiwan) from 2003 to 2005. He has more than 6-year working experiences in electronic and mechanical industries from 1986-1992.
Dr. Wang received his PhD in Industrial Engineering from University of Wisconsin at Madison (USA) in 1997, under the supervision of E-Business Chair Professor Raj Veeramani. Before that, he received a BA degree in Industrial Engineering and MS in Mechanical Engineering from Chung-Yuan Christian University (Taiwan), and MS degrees in Computer Science and Industrial Engineering from University of Wisconsin at Madison (USA). He was a visiting scholar in Dresden University of Technology (Germany) in 2002, UW-Madison (US) in 2003, and Tokushima University (Japan) in 2018. In addition, he received professional certificates on Case Method and Participant-Centered Learning Program by Harvard Business School, Harvard University (USA) in 2007, Teaching Entrepreneurial Thought and Action Program by Babson College (USA) in 2013, Industrial 4.0 Training Program by RWTH Aachen Technological University (Germany) in 2016, and Industrial 4.0 Practice Program by Nanyang Technological University (Singapore) in 2017.
Dr. Wang works closely with high-tech and service industries such as electrical and electronical, semiconductor manufacturing and testing, TFT-LCD manufacturing, medical and pharmaceutical industry in Asia as a consultant and for research on service design and innovation, operations & production management, resource portfolio planning, and novel business modeling. He is in the advisory board of TUL co., TAI SHING ELECTRONICS Inc. and Ledtech Co., and leads industrial projects for many worldwide firms, such as Avary, III, ACON, Inventec, Primax, Foxlink, Advanced-Connectek Inc, and Chunghwa Telecom co. Besides, he collaborates with several hospital systems in Taipei to investigate medical informatics issues. He gained 10 patents from Taiwan and US.
Dr. Wang’s research interest is in the areas of operations management, service innovation, intelligent systems, supply chain management, and medical informatics. He published more than 100 academic journal articles in international academic journals, such as IEEE Transactions on Systems, Man, and Cybernetics, Journal of Business Research, European Journal of Operational Research, IIE Transactions, International Journal of Production Research, Applied Soft Computing, BMC Bioinformatics, Knowledge-Based Systems, International Journal of Computer Integrated Manufacturing, Service Business, Journal of Medical Systems, Renewable Energy. He is in the editorial board of Journal of Chinese Institute of Industrial Engineers, Journal of Industrial Engineering, International Journal of Bioinformatics and Healthcare, Journal of Management, and International Journal of Electronic Customer Relationship Management. He is also in the list of Who’s Who of Asia and the best professor in management of the Asia’s best B-School awards.
Dr. Wang is a member of IEEE, INFORMS, and CIIE.
His Google Scholar profile can be found by http://scholar.google.com/citations?hl=en&user=6I7EMEEAAAAJ&view_op=list_works&pagesize=100. His laboratory web site can be reached at http://ntustimtechoperlab.weebly.com.
Intelligent Operations Management Laboratory (MA007) is advised by Prof. Kung-Jeng Wang and our research areas are currently related to Industry 4.0 including Image recognition, Digital Twin, Human Machine Collaboration, Data Analytics, and Qualitative Study. Welcome to explore more and join us if you have the same passion!
lab website: http://ntustimtechoperlab.weebly.com/
Image recognition is the process of identifying an object or a feature in an image or video. Based on deep learning method, we can train the computer to learn the rules of some visual tasks. For example, locating the defects on a product in production procedure, identifying the person entering a building in a security system, or recognizing the motion of the operator to prevent causing further product defects or safety issues.
Digital twin system is basically another non-physical replication of a real object, for example a machine, human or processes. Our research focus on creating an advanced digital twin that will remotely decide an optimized process for its physical twin to follow. It can also show statistics about its twin and can be used for monitoring.
Human machine collaboration is a model in which humans co-work with artificial intelligence (AI) systems and other machines rather than using them as tools. As in most successful collaborations, each brings to the table abilities that the other lacks. The purpose of machine-human partnerships is to use the particular strengths of both types of intelligence, and even physical capabilities, to fill in the other’s weaknesses.
Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusions and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Under Industry 4.0, big data analytics is useful in predictive manufacturing and is a major theme for industrial technology development.
Qualitative research is a scientific method of observation to gather non-numerical data. Qualitative research approaches are employed across many academic disciplines, focusing particularly on the human elements of the social and natural sciences; in less academic contexts, areas of application include qualitative market research, business, service demonstrations by non-profits, and journalism. Due to the novelty of industry 4.0 few researches on the practical effects are not yet fully explored in the literature. Business models, a more traditional area of research, has not yet touched upon the effects industry 4.0 has on the business models of company.
- Dr. Wang’s contributions have been recognized by Stanford University's "Top 2% Scientists List (Engineering)" in their Lifetime Scientific Impact Ranking (1960-2021).
- Excellence Award in the National Industrial Engineering Student Paper Competition (mentoring students: Xue Junyin and four others). 2023
- EMBA Thesis Award from the Taiwan Association for Technology Management (mentoring student: Dai Zhongde). 2022
- Second place in the National Xilinx PYNQ AI/IOT Hackathon (mentoring graduate students: Li Yinghao, Ahmed Abide Tadesse, and Rio Prasetyo Lukodono). 2021
- Outstanding Thesis Guidance Award in the 10th Chunyue Thesis Awards in the EMBA Business Management category (mentoring student: Lin Yuzheng). 2017
Education (universities attended, degrees earned and dates received)
- PhD in Industrial Engineering, University of Wisconsin at Madison, USA. (under the supervision of E-Business Chair Professor Raj Veeramani) 1993.01-1997.08
- MS in Computer Science, UW-Madison. 1995.01-1996.05
- MS in Industrial Engineering, UW-Madison. 1993.01-1994.05
- MS in Mechanical Engineering, Chung-Yuan Christian University (CYCU), Taiwan (ROC). 1984.09-1986.06
- BA in Industrial Engineering, CYCU, Taiwan. 1980.09-1984.06
Professional positions held
- Distinguished Professor, Department of Industrial Management, School of Management (AACSB & EQUIS accredited), National Taiwan University of Science and Technology (NTUST), Taiwan (ROC). 2016.08-Now
- Director, Graduate Institute of Intelligent Manufacturing Technology, NTUST. 2022.05-Now
- Vice Dean, School of Management, NTUST. 2012.08-2016.07
- Department Chair, Department of Industrial Management, NTUST. 2010.08-2012.07
- Professor, Department of Industrial Management, NTUST. 2008.02-2010.07
- Associate Professor, Department of Industrial Management, NTUST. 2006.08-2008.01
- Associate Professor, Department of Business Administration, National Dong Hwa University, Taiwan (ROC). 2004.02-2006.07
- Associate Professor, Department of Industrial Engineering, CYCU. 2003.08-2004.01
- Assistant Professor, Department of Industrial Engineering, CYCU. 1997.09-2003.07