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Name Shuen-Lin Jeng
Job title Professor
Expertise Special interests in statistical intervals, reliability data analysis, bioinformatics, statistical computing and data mining.
E-mail sljeng@ncku.edu.tw
Office Room 62317, 3th Floor, Department of Statistics
Tel (06)2757575~53640
Web site https://researchoutput.ncku.edu.tw/en/persons/shuen-lin-jeng
Main Experiences

  • Professor, Department of Statistics and Institute of Data Science, College of Management, National Cheng-Kung University. (July 2023 - Present).

  • Associate Professor, Department of Statistics and Institute of Data Science, College of Management, National Cheng-Kung University. (February 2007 - July 2023).

  • Administrative Group Leader, Center for Micro/Nano Science and Technology(CMNST). (February 2015 - July 2016).

  • Associate Professor, Department of Statistics, Tunghai University. (August 2003 - January 2007).

  • Co-leader, Center for Collaborate Business,Tunghai University. (May 2002 - January 2007).

  • member, Statistical consulting section of department of statistics, Tunghai university. (August 2000 - January 2007).

  • Visiting Scholar/Associate Professor, School of Industrial and System Engineering, Georgia Institute of Technology. (January 2005 - September 2005).

  • Assistant Professor, Department of Statistics, Tunghai University. (August 2000 - August 2003).

  • Assistant Professor, Department of Statistics, Ming Chuan University. (August 1998 - August 2000).

  • Research Assistant, Nondestructive Evaluation center, Ames Laboratory. (February 1994 - July 1998).

  • Research Assistant, Institute of Statistics, Academia Sinica. (August 1991 - August 1992).

Education

  • PhD, Iowa State University, 1998. Major: Statistics

  • MSc, Fu-Jen University, 1989. Major: Applied mathematics with emphasis on Statistics

  • BSc, National Cheng Kung University, 1987. Major: Mathematics

Research Field
  • reliability modeling and data analysis
  • data mining and machine learning
  • statistical computing and bioinformatics
Journals
  1. Shuen-Lin Jeng*, Chin-Min Guan, and Theovin Lautan (Accepted, 2025). Essential Economic Features for European Union Carbon Allowance Future Prediction. Journal of Chinese Statistical Association, (CIS, JEL, and EconLit)
  2. Le-Kun Tan*, Sui-Iong Han, Chien-Wei Chen, Shuen-Lin Jeng, and Ui-Him Khu (September, 2024). Design of Estimating Vocabulary Size in Taiwanese among Elementary and Junior High School Students: A Case Study in Tainan Area. Secondary Education. Vol. 75 No. 3., 55-82.  
  3. Shuen-Lin Jeng*, Chiau-Hsuan Liu and Chin Min Guan (July, 2024). Stock Trend Prediction Assisted by Automatically Defined Polarity Scores of News Articles. Journal of Information Science and Engineering.(SCI)  Vol. 40 No. 4., 717-743. 
  4. Chun-Wei Chien, Yen-An Tang, Shuen-Lin Jeng, Hsien-An Pan, and, H Sunny Sun*(2024). Blastocyst telomere length predicts successful implantation after frozen-thawed embryo transfer.Human Reproduction Open. Volume 2024, Issue 2, 2024/02, hoae012. (SCI)
  5. Shuen-Lin Jeng}, Ming-Jun Tu, Chih-Wei Lin, Jin-Jia Lin, Huai-Hsuan Tseng, Fong-Lin Jang, Ming-Kun Lu, Po-See Chen, Chih-Chun Huang, Wei-Hung Chang,Hung-Pin Tan, Sheng-Hsiang Lin* (April, 2024). Machine learning for prediction of schizophrenia based on identifying the primary and interaction effects of minor physical anomalies. Journal of Psychiatric Research, 172. 108-118 (SCI).
  6. Hsiang-Chin Hsu, Shuen-Lin Jeng, Shin-I Shih, Yu-Chiao Huang, Chih-Hao Lin, and Wei Ren Yao (2023). Learning Styles of Medical Students With Different Routes of Admission.  Journal of Medical Education; 27(2), p.125-137.
  7. Shuen-Lin Jeng*, Yin-Chen Chang. (2023). Classifying and clustering noisy images using subset learning based on convolutional neural networks. Quality and Reliability Engineering International; 2023/10, 39(6), 2343-2364. (SCI)
  8. Shuen-Lin Jeng and Ming-Jie Hsu, (2023). Clustering partially masked images with modified Radon transformation. Communications in Statistics: Simulation and Calculation.DOI: 10.1080/03610918.2021.1977955. 52(11), p. 5231-5255.(SCI)
  9. Tsunglin Liu, Yen-Chin Chen, Shuen-Lin Jeng, Jui- Q Jen Chang, Jiu-Yao Wang, Cheng-Han Lin, Pei-Fang Tsai, Nai-Ying Ko, Wen-Chien Ko and Jiun-Ling Wang*, (2023). Short-term effects of Chlorhexidine mouthwash and Listerine on oral microbiome in hospitalized patients. Frontiers in Cellular and Infection Microbiology. 13, 1056534. (2022 IF=6.073)(SCI)
  10. Shuen-Lin Jeng, Zi-Jing Huang, Deng-Chi Yang, Ching-Hao Teng*, MingCheng Wang, (2022). Machine learning to predict the development of recurrent urinary tract infection related to single uropathogen, Escherichia coli.
    Scientific Reports. (SCI) Accepted 22 Aug 2022.
  11. Shuen-Lin Jeng, Cher Ming Tan*, and Ping-Chia Chen, (2022). Statistical
    distribution of Lithium-ion batteries useful life and its application for battery     pack reliability. Journal of Energy Storage.51 (2022) 104399. (SCI) July
    2022. Published on line. https://www.sciencedirect.com/science/article/pii/S2352152X2200
  12. Tsunglin Liu, Cheng-Han Lin, Yi-Lin Chen, Shuen-Lin Jeng, Hui-Ju Tsai,
    Chung-Liang Ho, Wen-Shuo Kuo, MiaoHsi Hsieh, Pei-Chi Chen, Lawrence
    Shih Hsin Wu, Jiu-Yao Wang, (2022). Nasal Microbiome Change During and
    After Exacerbation in Asthmatic Children.     Frontiers in Microbiology, section
    Microbial Immunology    .(SCI) 12:833726. doi: 10.3389/fmicb.2021.833726. Mar
    4.
  13. Masayuki Hashimoto, Bin-Hsu Mao, Chien-Shun Chiou, Wen-Chun Huang,
    Ida Bagus Nyoman Putra Dwija, Shuen-Lin Jeng, Jiunn-Jong Wu, MingCheng Wang, Wei-Hung Lin, Chin-Chung Tseng, Ching-Hao Teng*, (2022).
    Association between Escherichia coli with NotI-restriction resistance and urinary tract infections.     Journal of Microbiology, Immunology and Infection.(SCI)
    55(4), 686-694. https://doi.org/10.1016/j.jmii.2021.11.010.
  14. Shuen-Lin Jeng* and Ming-Jie Hsu, (2021). Clustering partially masked images with modified Radon transformation. Communications in Statistics:
    Simulation and Calculation    .(SCI) Published online: 27 Sep 2021.
  15. Shuen-Lin Jeng*, Ching-Chih Chang, Wen-Chun Lin and Hsin-Yeh Yang,
    (2021). Using big data to analyze the energy consumption and carbon emissions of highway vehicles in Taiwan - A Case Study.     Journal of Chinese
    Statistical Association    , 59(3), 145-171.
  16. Wen-Chun Huang, Min-Yi Wong, Ssu-Han Wang, Masayuki Hashimoto, MengHe Lin, Mei-Feng Lee, Jiunn-Jong Wu, Ming-Cheng Wang, Wei-Hung Lin,
    Shuen-Lin Jeng, Jiun-Ling Wang, Ya-Lei Chen and Ching-Hao Teng*, (2021).
    The Ferric Citrate Uptake System Encoded in a Novel     blaCT X-M-3 and
    blaTEM-1-Harboring Conjugative Plasmid Contributes to the Virulence of
    Escherichia coli.     Frontiers in Microbiology. Vol. 12.
  17. Shuen-Lin Jeng*, Yung-Chan Chi, Mi-Chia Ma, Shih-Huan Chan, H. Sunny
    Sun, (2021). Gene Expression Analysis of Combined RNA-seq Experiments
    Using a Receiver Operating Characteristic Calibrated Procedure.     Computational Biology and Chemistry. Vol. 93 (August).
    https://doi.org/10.1016/j.compbiolchem.2021.107515 (SCI)
  18. Hou, P. F., Chang, Y. T., Lai, J. M., Chou, K. L., Tai, S. F., Tseng, K. C., Chow, C. N., Jeng, S. L., Huang, H. J. & Chang, W. C. (2020). Long-term effects of fertilizers with regional climate variability on yield trends of sweet corn. Sustainability (Switzerland). 12, 9, 3528.

  19. Hsieh, M. H., Jeng, S. L. & Kvam, P. (2019). Critical fault-detecting time evaluation in software with discrete compound Poisson models. Journal of Quality Technology. 51, 1, p. 94-108 15 p.

  20. Tsai, M-H., Lee, H-F., Jeng, S-L., Lin, S. C., Hsieh, L. W., Chuang, J. P. & Jacobs, E. A., (2018). Perceptions of the need for minority languages by nurses in Southern Taiwan. Communication and Medicine. 15, 1, p. 90-104.

  21. Jeng, S-L. (2014). Comprehensive analysis of common coding sequence variants in Taiwanese Han Population.  Biomarkers and Genomic Medicine.

  22. Jeng, S-L., Wu, Y-H. & Liu, T-L.(2013). Improving De Novo Assembly by Pre-Processing the Next-Generation Sequencing Data. Journal of the Chinese Statistical Association. 51, 3, p. 352-372.

  23. Jeng, S. L., Huang, B. Y. & Meeker, W. Q. (2011). Accelerated destructive degradation tests robust to distribution misspecification IEEE Transactions on Reliability. 60, 4, p. 701-711 11 p., 5953546.

  24. Jeng, S-L. & Liu, Y. T. (2011). Adaptive tangent distance classifier on recognition of handwritten digits Journal of Applied Statistics. 38, 11, p. 2647-2659 13 p.

  25. Hsieh, M. H., Jeng, S-L. & Shen, P. S. (2009). Assessing device reliability based on scheduled discrete degradation measurements Probabilistic Engineering Mechanics. 24, 2, p. 151-158.

  26. Lu, J. C., Jeng, S. L. & Wang, K. (2009). A review of statistical methods for quality improvement and control in nanotechnologyJournal of Quality Technology. 41, 2, p. 148-164.

  27. Jeng, S. L., Joseph, V. R. & Wu, C. F. J. (2008). Modeling and analysis strategies for failure amplification method Journal of Quality Technology. 40, 2, p. 128-139.

  28. Jeng, S-L. & Huang, Y. T. (2008).  Time series classification based on spectral analysis Communications in Statistics: Simulation and Computation. 37, 1, p. 132-142.

  29. Hsieh, M. H. & Jeng, S. L. (2007). Accelerated discrete degradation models for leakage current of ultra-thin gate oxides IEEE Transactions on Reliability. 56, 3, p. 369-380.

  30. Jeng, S. L., Lu, J. C. & Wang, K. (2007). A review of reliability research on nanotechnology IEEE Transactions on Reliability. 56, 3, p. 401-410. 

  31. Chang, W. K. & Jeng, S. L. (2007). Practical stopping criteria for validating safety-critical software by estimating impartial reliability Applied Mathematical Modelling. 31, 7, p. 1411-1424.

  32. Jeng, S-L., Lahiri, S. N. & Meeker, W. Q. (2005). Asymptotic properties of bootstrapped likelihood ratio statistics for time censored data. Statistica Sinica. 15, 1, p. 35-57.

  33. Chang, W. K. & Jeng, S-L. (2005). Impartial evaluation in software reliability practice.  Journal of Systems and Software. 76, 2, p. 99-110.

  34. Jeng, S-L. (2003). Exact sample size determination in a weibull test plan when there is time censoring. Journal of Statistical Computation and Simulation. 73, 6, p. 389-408.

  35. Jeng, S-L. (2003). Inferences for the fatigue life model based on the Birnbaum-Saunders distribution. Communications in Statistics Part B: Simulation and Computation. 32, 1, p. 43-60.

  36. Jeng, S. L. & Meeker, W. Q. (2001). Parametric simultaneous confidence bands for cumulative distributions from censored data. Technometrics. 43, 4, p. 450-461.

  37. Jeng, S. L. & Meeker, W. Q. (2000). Comparisons of approximate confidence interval procedures for type I censored data Technometrics. 42, 2, p. 135-148.

Others
  1. Improved Methodology for Inspection Reliability Assessment for Detecting Synthetic Hard Alpha Inclusions in Titanium
    Meeker, W. Q., Jeng, S., Chiou, C. & Thompson, R. B., 1998, Review of Progress in Quantitative Nondestructive Evaluation. Thompson, D. O. & Chimenti, D. E. (Ed). Springer US, p. 2061-2068 Chapter 267
  2. Improved Methodology for Predicting POD of Detecting Synthetic Hard Alpha Inclusions in Titanium
    Meeker, W. Q., Jeng, S., Chiou, C. & Thompson, R. B., 1997, Review of Progress in Quantitative Nondestructive Evaluation. Thompson, D. O. & Chimenti, D. E. (Ed). Springer US, p. 2021-2028 Chapter 264
  3. Methodology for Estimating Nondestructive Evaluation Capability
    Meeker, W. Q., Thompson, R. B., Chiou, C., Jeng, S. & Tucker, W. T., 1996, Review of Progress in Quantitative Nondestructive Evaluation. Thompson, D. O. & Chimenti, D. E. (Ed). Springer US, p. 1983-1990 Chapter 260
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