Quality Engineering and Management; Statistical Process Control (SPC), Monitoring, and Diagnosis; Industrial Statistics and Data Analytics; Help Solve World's Problems Using Quality and Innovation.

Prof. Tsung is Chair Professor of the Department of Industrial Engineering and Decision Analytics (IEDA) at the Hong Kong University of Science and Technology (HKUST). He is a Fellow of the Institute of Industrial Engineers (IIE), Fellow of the American Society for Quality (ASQ), Academician of the International Academy for Quality (IAQ), Elected Member of the International Statistical Institute (ISI), and Fellow of the Hong Kong Institution of Engineers (HKIE). He received both his Ph.D. and M.Sc. in industrial and operations engineering from the University of Michigan, Ann Arbor, and his B.Sc. in mechanical engineering from National Taiwan University. He worked for Ford Motor Company as a Quality Engineer and Rockwell International R&D as a Research Engineer, and did his post-doctoral research with Chrysler Corporation. During his tenure at HKUST, he has achieved a very impressive academic record and strong international reputation.

Prof. Tsung has a proven record for academic leadership. He is Editor-in-Chief of the Journal of Quality Technology (JQT). Founded in 1969, JQT is the flagship journal of the American Society for Quality, and is consistently ranked as one of the most cited journals in the areas of industrial engineering, management science, and statistics. Prof. Tsung was also the Regional Vice President (Asia) of Institute of Industrial Engineers (IIE) since 2008, and the Chair of the Service Science Section, INFORMS, where he was the Founding Vice Chair in 2007. He was the Chair of the Quality, Statistics, and Reliability (QSR) Section, INFORMS, in 2004. He is also the founding Chair of the Council of Industrial Engineering Department Heads in Greater China (CIEDHC).

In addition, Prof Tsung has a strong research record in the area of quality engineering and management. He has received the Best Paper Award for the IIE Transactions two times, in 2004 and 2009, respectively. He is also the recipient of the Outstanding IIE Publication Award in 2010 - this award recognizes an outstanding publication in any IIE-sponsored or co-sponsored medium. He has acted as principal and co-principal investigator on 18 funded research by the Research Grant Council (RGC). He has been invited to provide 40+ invited lectures/seminars at different academic institutions and international conferences, and has served or is serving editorial positions for 14 internationally respected journals. He serves as Department Editor of IIE Transactions, Associate Editor of Technometrics, Naval Research Logistics, and Journal of Quality Technology (JQT). He has authored over 100 refereed journal publications in Technometrics, Management Science, JQT, IIE Transactions, IEEE Transactions, Journal of the American Statistical Association (JASA), Annals of Statistics, Annals of Operations Research, etc. He has successfully directed and been directing 17 PhD theses and 12 Master theses in a variety of industrial engineering related topics.

• Fellow, American Statistical Association (ASA)
• Editor-in-Chief, Journal of Quality Technology (JQT) 
• Fellow, Institute of Industrial Engineers (IIE) 
• Fellow, American Society for Quality (ASQ) 
• Academician, International Academy for Quality (IAQ) 
• Elected Member, the International Statistical Institute (ISI) 
• Fellow, the Hong Kong Institution of Engineers (HKIE) 

Prof. Tsung is also a dedicated educator. He has made great efforts to establish a Quality and Data Analytics Laboratory for IEDA's courses, and is the recipient of the 2001 "Teaching Excellence Appreciation" Award in the School of Engineering. He has established/facilitated several teaching and learning initiatives during his headship, such as the Stanford-HKUST joint course on Global Manufacturing, a joint summer course on Design Thinking with the China Academy of Art, a Six Sigma Green Belt Certification Program for undergraduates and MSc, and was instrumental in setting up an on-line blended learning course on Quality Engineering in Spring 2015. He has also provided consulting services to a variety of organizations, such as Philips LCD, ASTEC, ASAT, , NXP, TPO, TechTronic Industries, Nortel Networks, China Mobile, New World Telecom, and International Bank of Asia. He is the first American Society for Quality (ASQ) Certified Six Sigma Black Belt in Greater China, and an ASQ Authorized Six Sigma Master Black Belt Trainer.

Research Projects

1. Y. Li and F. Tsung (2009), False Discovery Rate-Adjusted Charting Schemes For Multistage Process Fault Diagnosis and Isolation, Technometrics, 51, pp. 186-205.


2. H. Wang and F. Tsung (2009) Tolerance Intervals with Improved Confidence Levels for Binomial and Poisson Variables, Technometrics, 51, pp. 25-33.


3. C. Zou, F. Tsung, and Z. Wang (2009), Monitoring Profiles Based on Nonparametric Regression Methods, Technometrics, 50, pp. 512-526.


4. C. Zou, F. Tsung, and Y. Liu (2008), A Change Point Approach for Phase I Analysis in Multistage Processes, Technometrics, 50, pp. 344-356.


5. K. Wang and F. Tsung (2008), An Adaptive T2 chart for Monitoring Dynamic Systems, Journal of Quality Technology, 40, pp. 109-123.


6. C. Zou, F. Tsung (2008), Directional MEWMA Schemes for Multistage Process Monitoring and Diagnosis, Journal of Quality Technology, 40, pp. 407-427.


7. K. Zhu, R. Zhang, and F. Tsung (2007),  Pushing Quality Improvement along Supply Chains, Management Science, 53, pp. 421-436.


8. C. Zou, F. Tsung and Z. Wang (2007), Monitoring General Linear Profiles Using Multivariate EWMA schemes, Technometrics, 49, pp. 395-408.


9. K. Wang and F. Tsung (2007), Run-to-run Process Adjustment Using Categorical Observations, Journal of Quality Technology, 39, pp. 312-325.


10. C. Zou, Z. Wang and F. Tsung (2007), A Self-Starting Control Chart for Linear Profiles, Journal of Quality Technology, 39, pp. 364-375.


11. D. Han and F. Tsung (2006), A Reference-Free Cuscore Chart for Dynamic Mean Change Detection and a Unified Framework for Charting Performance Comparison, Journal of the American Statistical Association, 101, pp. 368-386.