林長鋆

   Chang-Yun Lin

 

 Office

 Room 607 

 Phone

 886-4-2286-0133 ext 607

 E-mail

 chlin6@nchu.edu.tw

 Research 

 Interests

·      Design of Experiments

·      Statistical Quality Control

·      Genetic Statistics

·      Deep learning

·      Bayesian methods

·      Machine learning

EDUCATION

 

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Ph.D., Statistics, National Tsing Hua University, Taiwan. 2004/09-2009/01.

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M.S., Statistics, National Tsing Hua University, Taiwan. 1995/09-1997/07.

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B.A., Statistics, National Chung Hsing University. Taiwan. 1991/09-1995/07.

 

 

WORKING EXPERIENCE

 

Ø Industrial experience

 

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Manager. (2007 – 2008). General Manager Office. P-two Industries Inc., Taiwan.
 

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Deputy Manager. (2007). Quality Management Div., Innolux Display Corp., Taiwan.
 

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Section Manager. (2001 – 2005). Department of Production/Quality Assurance. Infomax Optical Technology Corp., Taiwan.

 

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Engineer. Division of R&D. (1999 – 2000). Everlight Chemical Industrial Corp., Taiwan.

 

 

Ø Academic experience

 

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Professor. (2019/02 – present). Department of Applied Mathematics and Institute of Statistics, National Chung Hsing University, Taiwan.

 

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Associate Professor. (2016/02 – 2019/01). Department of Applied Mathematics and Institute of Statistics, National Chung Hsing University, Taiwan.

 

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Assistant Professor. (2012/08 – 2016/01). Department of Applied Mathematics and Institute of Statistics, National Chung Hsing University, Taiwan.

 

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Postdoctoral Research Fellow. (2011 – 2012/07). McDermott Center for Human Growth and Development, UT Southwestern Medical Center, Texas, USA.

 

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Postdoctoral Research Fellow. (2009 – 2011).  Department of Epidemiology and Population Health, Albert Einstein College of Medicine of Yeshiva University. New York, USA.

 

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Research Assistant. (2005 – 2007). Department of Statistics, Academic Sinica, Taiwan.

 

 

TEACHING

 

 

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Machine learning

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Deep learning

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Reinforcement learning

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Design of experiments

 

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Statistical quality control

 

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Reliability analysis

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Precalculus (teaching in English for international students)

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Calculus (teaching in English for international students)

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Biostatistics

 

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Probability

 

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Regression

 

GRANT AND FUNDING

 

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Industry-academy cooperation

Grant Title

Principal Investigator

Funder

Period

 

Talent Cultivation Subsidy Program in the Science Park

Chang-Yun Lin

Taiwan Science Park

2024-2025

Talent Cultivation Subsidy Program in the Science Park

Chang-Yun Lin

Taiwan Science Park

2023-2024

CTR Gel Longitudinal Mura Forecast

Chang-Yun Lin

AOU Optronics Corperation, Taiwan

2020-2021

Data analysis and model verification of AUO Q12 engagement prediction model

Chang-Yun Lin

AOU Optronics Corperation, Taiwan

2020-2021

Big data oriented TPMS service solution.

Chang-Yun Lin

Central Taiwan Science Park

2019-2020

 

Development of the MRT TPMS sensor

Chang-Yun Lin

Central Taiwan Science Park

2018-2019

 

 

Ø     

Research grant

Grant Title

Principal Investigator

Funder

Period

(3 years)

Research on developing the generalized Bayesian Alphabetic optimality criterion family and minimum response surface multilevel equivalent estimation design

Chang-Yun Lin

National Science and Technology Council, Taiwan

2024-2027

(2 years)

Construction, analysis, and development for mixtrue-process variable designs in multistratum structures

Chang-Yun Lin

Ministry of Science and Technology, Taiwan

2022-2024

(2 years)

Data analysis and follow-up designs for supersaturated multistratum desgins 

Chang-Yun Lin

Ministry of Science and Technology, Taiwan

2020-2022

(2 years)
Generalized Bayesian D criterion for multistratum designs and its applications

Chang-Yun Lin

Ministry of Science and Technology, Taiwan

2018-2020

(2 years)
Robust designs: robust split-plot designs to model misspecification and robust projective designs to model uncertainty with high efficiency

Chang-Yun Lin

Ministry of Science and Technology, Taiwan

2016-2018

(2 years)
The applications of definitive screening designs on block and split-plot designs

Chang-Yun Lin

Ministry of Science and Technology, Taiwan

2014-2016

The application of D' statistic on contingency table for low-frequency dataset

Chang-Yun Lin

Ministry of Science and Technology, Taiwan

2013-2014

Adjusted FDR control for discrete statistics in multiple tests

Chang-Yun Lin

Ministry of Science and Technology, Taiwan

2012-2013

 

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Teaching grant

Grant Title

Principal Investigator

Funder

Period

 

Bridging Academia and Industry: Innovative Teaching Research in Experimental Design of Digital Classrooms and Virtual Factories through "Continuous Improvement Projects"

Chang-Yun Lin

Ministry of Education

2024-2025

(2 years)

MOOCs: Statistical Quality Control

Chang-Yun Lin

National Chung Hsing University, Taiwan

2024-2025

Breaking out of Amazon: Combining the "AWS DeepRacer" education platform of Amazon in the United States to conduct a research on the teaching effectiveness of "Applied Deep Reinforcement Learning"

Chang-Yun Lin

Ministry of Education

2023-2024

(2 years)

MOOCs: Reinforcement Learning

Chang-Yun Lin

National Chung Hsing University, Taiwan

2023-2024

By participating in the data analysis competition on the Kaggle international network platform, conduct innovative teaching research on "Statistical Learning and Data Mining"

Chang-Yun Lin

Ministry of Education, Taiwan

2022-2023

(2 years)
MOOCs: Deep Learning I 

Chang-Yun Lin

National Chung Hsing University, Taiwan

2022-2023

Create a virtual field with VR technology, conduct simulated experiment operations, and innovate the teaching methods of experimental design courses

Chang-Yun Lin

Ministry of Education, Taiwan

2021-2022

(2 years)
MOOCs: Statistical Leaning and Data mining 

Chang-Yun Lin

National Chung Hsing University, Taiwan

2021-2022

Create a small factory in the classroom: a practical teaching for "Statistical Quality Control" using 3D printers

Chang-Yun Lin

Ministry of Education, Taiwan

2020-2021

 

(2 years)
MOOCs and flipped classroom:  Design of Experiments II (Intermediate)

Chang-Yun Lin

National Chung Hsing University, Taiwan

2020-2021

Innovative teaching research in experimental design: practice, flipping, and technology integration

Chang-Yun Lin

Ministry of Education, Taiwan

2019-2020

Flipped classroom in Statistical Quality Control

Chang-Yun Lin

National Chung Hsing University, Taiwan

2019

(2 years)
MOOCs and flipped classroom:  Design of Experiments I (Basic)

 

Chang-Yun Lin

National Chung Hsing University, Taiwan

2018-2019

Flipped classroom in Reliability Analysis

Chang-Yun Lin

National Chung Hsing University, Taiwan

2017

Flipped classroom in Regression Analysis

Chang-Yun Lin

National Chung Hsing University, Taiwan

2016

(2 years)
Flipped classroom in Calculus

Chang-Yun Lin

National Chung Hsing University, Taiwan

2014-2015

Digital material recording in Precalculus

Chang-Yun Lin

National Chung Hsing University, Taiwan

2013

 

 

 

PUBLISHICATIONS

 

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Journal article

32

Lin C-Y*, Yang P. (2024) On the construction of saturated split-plot designs for quadratic response surface models. Quality Engineering. DOI：10.1080/08982112.2024.2381005.

 

31

Lin C-Y*. (2023)  Cause-and-effect diagram based supersaturated designs. Quality Engineering. 36(4), 651-666. DOI：10.1080/08982112.2023.2269437.

 

30

Lin C-Y*. (2023) Multiresponse surface methodology for hyperparameter tuning to optimize multiple performance measures of statistical and machine learning algorithms. Quality and Reliability Engineering international.  39(7), 2995-3013. DOI: 10.1002/qre.3408.

 

29

Chatterjee K, Lin C-Y*. (2023) Design construction and model selection for small mixture-process variable experiments with high-dimensional model terms. Quality Engineering. 35(3), 388-398. DOI：10.1080/08982112.2022.2135444.

 

28

Lin C-Y*, Yang P. (2022) Bayesian analysis and follow-up experiments for supersaturated multistratum designs. Journal of Quality Technology. 54(5), 527-546. DOI：10.1080/00224065.2021.1963199.

 

27.

Lin C-Y*. (2021) Forward stepwise random forest analysis for experimental designs. Journal of Quality Technology. 53(5): 488-504. DOI: 10.1080/00224065.2020.1865853.

 

26.

Lin C-Y*. (2021) Stochastic search variable selection for split-plot and blocked screening designs. Journal of Quality Technology. 53(1): 72-87. DOI: 10.1080/00224065.2019.1651621.

 

 

25.

Lin C-Y*. (2020) Generalized Bayesian D-optimal supersaturated multistratum designs. Quality Engineering. 32(2): 212-222. DOI: 10.1080/08982112.2019.1696971.

 

 

24.

Lin C-Y*. (2019) Supersaturated multistratum designs. Journal of Quality Technology. 51(4): 325-337. DOI: 10.1080/00224065.2018.1507222. (MOST 107-2118-M-005-003-MY2).

 

 

23.

Lin C-Y*, Yang P. (2019) Data-driven multistratum designs with the generalized Bayesian D-D criterion for highly uncertain models. Computational Statistics & Data Analysis. 138: 222-238. DOI: 10.1016/j.csda.2019.03.007.

 

22.

Lin C-Y*. (2018) Generalized Bayesian D criterion for single-stratum and multistratum designs. Quality and Reliability Engineering international. 34: 1566-1574. DOI: 10.1002/qre.2335. (MOST 107-2118-M-005-003-MY2).

 

21.

Lin C-Y*. (2018) Robust designs with high projection efficiency. Quality and Reliability Engineering international. 34(3): 347-359. DOI: 10.1002/qre.2257. (MOST 105-2118-M-005-004-MY2).

 

20.

Lin C-Y*. (2018) Robust split-plot designs for model misspecification. Journal of Quality Technology. 50(1): 76-87. DOI: 10.1080/00224065.2018.1404325. (MOST 105-2118-M-005-004-MY2).

 

 

19.

Lin C-Y*, Yang P. (2018) Robust multistratum baseline designs. Computational Statistics & Data Analysis. 118: 98-111. DOI: 10.1016/j.csda.2017.08.009. (MOST 105-2118-M-005-004-MY2).

 

 

18.

Lin C-Y*, Yang P, Cheng S-W. (2017) Minimum contamination and beta-aberration criteria for screening quantitative factors. Statistica Sinica. 27(2): 607-623. DOI: 10.5705/ss.202015.0313. (MOST 105-2118-M-005-004-MY2).

 

17.

Yang P, Lin C-Y*. (2017) Optimal split-plot orthogonal arrays. Australian & New Zealand Journal of Statistics. DOI: 10.1111/anzs.12178. 59(1): 81-94.

 

16.

Lin C-Y*, Yang P. (2015) Response surface methodology using split-plot definitive screening designs. Journal of Quality Technology. DOI: 10.1080/00224065.2015.11918139. 47(4): 351-362.

 

15.

Lin C-Y*. (2015) Construction and selection of the optimal balanced blocked definitive screening design. Metrika. 78(4): 373-383. DOI: 10.1007/s00184-014-0507-7.

 

14.

Yang P*, Lin C-Y, Li W. (2015) Blocked semifoldovers of two-level orthogonal designs. Metrika. 78(5): 529-548. DOI: 10.1007/s00184-014-0514-8.

 

13.

Platkin C*, Yeh M-C, Wiewel EW, Lin C-Y, Tung H-J, Hirsch K, Castellanos VH. (2014) The effect of menu labeling with calories and exercise equivalents on food selection and consumption. BMC Obesity. 1:21. DOI: 10.1186/s40608-014-0021-5. 

 

12.

Lin C-Y, Xing G, Ku H-C, Elston RC, Xing C*. (2014). Enhancing the power to detect low-frequency variants in genome-wide screens.  Genetics. 196: 1293-1302. DOI: 10.1534/genetics.113.160739.

 

11.

Lin C-Y*. (2014). Optimal blocked orthogonal arrays. Journal of Statistical Planning and Inference. 145: 139-147. DOI: 10.1016/j.jspi.2013.08.016.

 

10.

Smith HO, Stephens ND, Qualls CR, Fligelman T, Wang T, Lin C-Y, Burton E, Griffith JK, Pollard JW. (2013). The clinical significance of inflammatory cytokines in primary cell culture in endometrial carcinoma. Molecular Oncology. 7(1): 41-54. DOI: 10.1016/j.molonc.2012.07.002.

 

9.

Lin C-Y, Xing G, Xing C.* (2012). Measuring linkage disequilibrium by the partial correlation coefficient. Heredity. 109: 401-402. DOI: 10.1038/hdy.2012.54.

 

8.

Lin C-Y, Lo Y-T, Ye K.* (2012). Genotype copy number variations using Gaussian mixture models: theory and algorithms. Statistical Applications in Genetics and Molecular Biology. 11(5), Art. 5. DOI: 10.1515/1544-6115.1725.

 

7.

Krupka M, Seydel K, Feintuch CM, Yee K, Kim R, Lin C-Y, Calder RB, Petersen C, Taylor T, Daily J.Mild (2012)  Plasmodium falciparum malaria following an episode of severe malaria is associated with induction of the interferon pathway in Malawian children. Infection and Immunity. 80(3): 1150-1155. DOI: 10.1128/IAI.06008-11.

 

6.

Lin C-Y*, Cheng S-W. (2012). Isomorphism examination based on count vector. Statistica Sinica. 22(3): 1253-1272. DOI: 10.5705/ss.2010.246.

 

5.

Wang T*, Lin C-Y, Zhang Y, Wen R, Ye K. (2012). Design and Statistical Analysis of Pooled Next Generation Sequencing for Rare Variants. Journal of Probability and Statistics. 2012, Art. ID 524724, 19 pages. DOI: 10.1155/2012/524724.

 

4.

Xing G, Lin C-Y, Wooding SP, Xing C*. (2012). Blindly using Walds test can miss rare disease-causal variants in case-control association studies. Annals of Human Genetics. 76(2): 168-177. DOI: 10.1111/j.1469-1809.2011.00700.x.

 

3.

Xing G, Lin C-Y, Xing C*. (2011). A comparison of approaches to control for confounding factors by regression models. Human Heredity. 73(3): 194-205. DOI: 10.1159/000332743.

 

2.

Mills RE, Walter K, Stewart C, Handsaker RE, Chen K, Alkan C, Abyzov A, Yoon SC, Ye K, Cheetham RK, Chinwalla A, Conrad DF, Fu Y, Grubert F, Hajirasouliha I, Hormozdiari F, Iakoucheva LM, Iqbal Z, Kang S, Kidd JM, Konkel MK, Korn J, Khurana E, Kural D, Lam HY, Leng J, Li R, Li Y, Lin C-Y, Luo R, Mu XJ, Nemesh J, Peckham HE, Rausch T, Scally A, Shi X, Stromberg MP, Stütz AM, Urban AE, Walker JA, Wu J, Zhang Y, Zhang ZD, Batzer MA, Ding L, Marth GT, McVean G, Sebat J, Snyder M, Wang J, Ye K, Eichler EE, Gerstein MB, Hurles ME, Lee C, McCarroll SA, Korbel JO; 1000 Genomes Project. (2011). Mapping copy number variation by population scale genome sequencing. Nature. 470: 59-65. DOI: 10.1038/nature09708.

 

1.

Wang T*, Lin C-Y, Rohan TE, Ye K*. (2010). Resequencing of pooled DNA for detecting disease associations with rare variants. Genetic Epidemiology. 34: 492-501. DOI: 10.1002/gepi.20502.

 

Ø     

arXiv

4.

Lin C-Y*. (2018). Generalized Bayesian D criterion for single-stratum and multistratum designs. arXiv:1803.11033.

 

3.

Lin C-Y*. (2016). Robust split-plot designs for model misspecification. arXiv:1608.00481.

 

2.

Lin C-Y*. (2016). Robust designs to model uncertainty with high estimation and prediction efficiency. arXiv:1604.03802.

 

1.

Yang P, Lin C-Y*. (2014) Minimum contamination and $\beta$-aberration criteria for screening quantitative factors. arXiv:1409.1012.



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Book

1.

Lin C-Y and Wang T. The application of pooled DNA sequencing in disease association study. InTech. DNA Sequencing-Methods and Applications, Chapter 7, ISBN: 978–953–51–0564-0.