國立臺灣大學
資訊管理學系暨研究所
Information Management , National Taiwan University
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Detailed Information
Chia-Yen Lee
Ph.D. Department of Industrial & Systems Engineering, Texas A&M University, USA
Master Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Taiwan
Bachelor Department of Mathematical Sciences and Department of Management Information Systems, National Chengchi University, Taiwan
Office : Building II, College of Management 711
Tel : +886-2-33661206
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E-mail : chiayenlee@ntu.edu.tw
Office Hour :
Home Page : http://polab.im.ntu.edu.tw/
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Research Field
• Operations Research
• Data Science in Manufacturing
• Productivity and Efficiency Analysis
• Stochastic Optimization
• Multi-Objective Decision Analysis
Research Field Summary
Education
• Department of Industrial & Systems Engineering, Texas A&M University, USA
• Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Taiwan
• Department of Mathematical Sciences and Department of Management Information Systems, National Chengchi University, Taiwan
Courses
• Management Mathematics
• Manufacturing Data Science
• Operations Research Applications and Implementation
• Productivity and Efficiency Analysis
Honors
2021/8 Faith, Hope and Love of Scholars in College of Management NTU-Fubon Financial Holding Co. Chairman
2021/4 IEEE Senior Member, IEEE
2021/1 Top 20 Most Productive Authors published the highest amount of papers on data science and productivity, from 2005 to 2020
2019/12 Feng-Zhang Lu Memorial Medal , Chinese Management Association
2019/11 Certification of Appreciation, 台達講座獎勵, 財團法人成電文教基金會
2018/10 Micron Teacher Award , Micron Technology/ Micron Foundation
2018/9 Excellent Teaching Award, National Cheng Kung University
2018/7 Kwoh-Ting Li Technology & Literature Lectureships Award of Distinguished Young Scholars , NCKU-Delta Electronics
2017/12 Ta-You Wu Memorial Award of Distinguished Young Scholars, Ministry of Science and Technology, Taiwan
2017/12 Young Scholar Innovative Research, Honorable Mention, Taiwan Comprehensive University System(TCUS)
2017/8, 2014/8 Outstanding Young Scholar Grants, Ministry of Science and Technology, Taiwan
2016/12 Best Practice Paper Award (First Prize), The 17th Asia Pacific Industrial Engineering and Management Systems Conference (APIEMS
2016/12 Best Practice Paper Award (First Prize), The 17th Asia Pacific Industrial Engineering and Management Systems Conference (APIEMS)
2016/11 Best Industry-University Research Award, Ministry of Science and Technology
2014/12 Best Paper Award of Optimization Modelling, 2014 Chinese Institute of Industrial Engineers (CIIE) Conference
2013/12 Best Paper Award of Low-Carbon Economy, 2013 Chinese Institute of Industrial Engineers (CIIE) Conference
2012/4 Who's Who Among Students in American Universities and Colleges for 2011-2012 recognized by Texas A&M
Experience
2020/8 - Present Professor, Department of Information Management, National Taiwan University (NTU), Taiwan
2020 - 2022 Convener, Big Data Analytics and Information Systems Sub-Program, Industrial Engineering and Management Program, Ministry of Science & Technology
2020 - 2022 Associate Editor, IEEE Transactions on Automation Science and Engineering (T-ASE)
2018 - Present Lecturer, Taiwan AI Academy, Program for Business Manager
2018 - 2020/7 Director, Institute of Manufacturing Information and Systems, National Cheng Kung University (NCKU), Taiwan
2019/8 - 2020/7 Professor, Dept. of Computer Science and Information Engineering, and Institute of Manufacturing Information and Systems, National Cheng Kung University (NCKU), Taiwan
2018 - 2019 Deputy Secretary-General, Operations Research Society of Taiwan (ORSTW)
2016/8 - 2019/7 ssociate Professor, Dept. of Computer Science and Information Engineering, and Institute of Manufacturing Information and Systems, National Cheng Kung University (NCKU), Taiwan
2016 - 2019 Associate Editor, Flexible Services and Manufacturing Journa
2012/8 - 2016/7 Assistant Professor, Dept. of Computer Science and Information Engineering, and Institute of Manufacturing Information and Systems, National Cheng Kung University (NCKU), Taiwan
2012 - 2020 Engineering Management Graduate Program (EMGP), NCKU, Taiwan
Conference Paper
  1. Hong, Tzu-Yen, Lu, Kuan-Chun (盧冠均), Chu, Chia-Fan (禇家帆), and Lee, Chia-Yen, November 2024, Reinforcement Learning and Robust Optimization for T/C Balance of TFT-LCD Cell Process Scheduling in TFT-LCD Manufacturer (強化學習與穩健最佳化建構T/C 平衡生產排程於面板組立製程), Chinese Institute of Industrial Engineers Annual Conference (CIIE2024), (National Taipei University of Technology, Taipei, Taiwan), Nov. 2024 (Best Paper Award).
  2. Hung, Yu-Hsin, and Lee, Chia-Yen, 2024, KDLIME: KNN-Kernel Density-Based Perturbation for Local Interpretability, ECML PKDD International Workshop on eXplainable Knowledge Discovery in Data Mining, (Vilnius), September 9-13, 2024.
  3. Kang, Wei, and Lee, Chia-Yen, 2024, Stochastic Capacity Planning with Most Productive Scale Size and Eco-Efficiency, 2024 IEEE 20th International Conference on Automation Science and Engineering (IEEE CASE 2024), (Bari, Italy), August 28 – September 1, 2024.
  4. Hsu, Yun-Chia, and Lee, Chia-Yen, 2024, Robust Ensemble Forecasting and Deep Reinforcement Learning for Energy Management of Islanded Microgrids, 2024 IEEE 20th International Conference on Automation Science and Engineering (IEEE CASE 2024), (Bari, Italy), August 28 – September 1, 2024.
  5. Chen, Yenwen, Chu, Pin-Chi, and Lee, Chia-Yen, 2024, Real Options for Maintenance Scheduling with Bearing Degradation in Panel Manufacturer, 2024 IEEE 20th International Conference on Automation Science and Engineering (IEEE CASE 2024), (Bari, Italy), August 28 – September 1, 2024.
  6. Hsieh, Tsung-Ta (謝宗達), Hsiao, Jui Hsin (蕭瑞昕), Lee, Chia-Yen, 2024, Unsupervised Image Demoireing and Self-Consistent GAN for TFT-LCD Defect Detection (自洽式生成對抗網路於無監督圖像去噪以檢測面板缺陷), The 26th Decision Analysis Symposium (DAS 2024), (National Taiwan University of Science and Technology, Taipei, Taiwan), Jan. 6, 2024. (Best Paper Award).
  7. Chen, Bo-Ru (陳柏儒), Li, Zong-Yang (李宗陽), Lee, Chia-Yen, 2023, Causal Inference and Policy Learning for Manufacturing Process Diagnosis (因果推論與政策學習於製程參數診斷), Chinese Institute of Industrial Engineers Annual Conference (CIIE2023), (Feng Chia University, Taichung, Taiwan), Dec. 9, 2023. (Best Paper Award).
Journal Paper
  1. Lee, Chia-Yen*, Li, Yao-Wen, and Chang, Chih-Chun, 2024, Multi-agent reinforcement learning for chiller system prediction and energy-saving optimization in semiconductor manufacturing, International Journal of Production Economics, 280, 109488, MOST111-2628-E-002-019-MY3.
  2. Lee, Chia-Yen, Lin, Yung-Lun, Lin, Shu-Hung, and Yang, T., 2024, Virtual material quality investigation system, IEEE Transactions on Engineering Management, 71, 2649 - 2659, MOST110-2221-E-002-163.
  3. Lee, Chia-Yen, and Chen, Yen-Wen, 2024, Reinforcement learning with data envelopment analysis and conditional value-at-risk for the capacity expansion problem, IEEE Transactions on Engineering Management, 71, 6469-6480, MOST111-2628-E-002-019-MY3.
  4. Wu, Yen-Tung, and Lee, Chia-Yen*, 2024, Marginal productivity of product mix matters? data envelopment analysis for marginal profit consistency in Taiwan’s life insurance industry, Operations Research Forum, 5, 7, MOST111-2628-E-002-019-MY3.
  5. Huang, Y.-Y.*, Menozzi, M., and Lee, Chia-Yen, 2024, Vergence-Accommodation Conflict: Increased Presbyopia in Virtual Reality, Klinische Monatsblätter für Augenheilkunde, 241(04), 540-544, MOST111-2221-E-002-197.
  6. Lee, Chia-Yen*, Chang, Kai, and Ho, Chien, 2024, Autoencoder-based detector for distinguishing process anomaly and sensor failure, International Journal of Production Research, 62(19), 7130-7145, MOST111-2221-E-002-197.
  7. Hung, Yu-Hsin, and Lee, Chia-Yen*, 2024, BMB-LIME: LIME with modeling local nonlinearity and uncertainty in explainability, Knowledge-Based Systems, 294, 111732, NSTC112-2221-E-002-003.
  8. Lee, Chia-Yen*, Ho, Chieh-Ying, Hung, Yu-Hsin, and Deng, Yu-Wen, 2024, Multi-objective genetic algorithm embedded with reinforcement learning for petrochemical melt-flow-index production scheduling, Applied Soft Computing, 159, 111630, NSTC112-2221-E-002-003.
  9. Dai, S., Fang, Yu-Hsueh, Lee, Chia-Yen, Kuosmanen, T.*, 2024, pyStoNED: a python package for convex regression and frontier estimation, Journal of Statistical Software, 111 (6), 1-43.
  10. Lu, Hsuan-Wen, and Lee, Chia-Yen*, 2024, Feature-enhanced multisource subdomain adaptation on robust remaining useful life prediction, IEEE Robotics and Automation Letters, 9(7), 6130 - 6137, MOST111-2221-E-002-197.
  11. Cheng, Yu-Hsiang, Lee, Chia-Yen*, Tsai, C.-H., and Wu, J.-M., 2024, Two-phase data science framework for compensation of the friction force in CNC machines, International Journal of Computer Integrated Manufacturing, MOST110-2221-E-002-163.
  12. Lee, Chia-Yen*, Huang, Yi-Tao, and Chen, P.-J., 2024, Robust-optimization-guiding deep reinforcement learning for chemical material production scheduling, Computers and Chemical Engineering, 187, 108745, MOST111-2221-E-002-197.
  13. Hung, Yu-Hsin, Shen, Hong-Ying, and Lee, Chia-Yen*, 2024, Deep reinforcement learning-based preventive maintenance for repairable machines with deterioration in a flow line system, Annals of Operations Research, MOST111-2628-E-002-019-MY3; MOST 111-2221-E-002-197.
  14. Hung, Chi-Yu, Lee, Chia-Yen*, Tsai, C.-H., and Wu, J.-M., 2024, ORgram: semi-supervised learning framework for inline bearing diagnosis in varying speed, The International Journal of Advanced Manufacturing Technology, 134, 2387–2401, MOST111-2221-E-002-197.
  15. Lee, Chia-Yen*, Wu, Cheng-Man, Hsu, C.-Y., Xie, H.-H., and Fang, Yu-Hsueh, 2023, Lithography reticle scheduling in semiconductor manufacturing, Engineering Optimization, MOST111-2221-E-002-197.
  16. Lee, Chia-Yen, and Yang, Shu-Huei, 2023, Graph spatio-temporal networks for manufacturing sales forecast and prevention policies in pandemic era, Computers & Industrial Engineering, 182, 109413, MOST111-2628-E-002-019-MY3.
  17. Lee, Chia-Yen, and Tseng, Chin-Yi, 2023, Market power and efficiency analysis in bi-level energy transmission market, Journal of Optimization Theory and Applications, 196, 544–569, MOST108-2221-E-006-223-MY3.
  18. Lee, Chia-Yen, and Chien, C.-F., 2022, Pitfalls and protocols of data science in manufacturing practice, Journal of Intelligent Manufacturing, 33, 1189–1207, MOST106-2218-E-031-001.
  19. Lee, Chia-Yen, and Charles, V., 2022, A robust capacity expansion integrating the perspectives of marginal productivity and capacity regret, European Journal of Operational Research, 296 (2), 557-569, MOST103-2221-E-006-122-MY3; MOST108-2221-E-006-223-MY3.
  20. Chiang, Tsai-Pin, and Lee, Chia-Yen*, 2022, Solid waste management for the eco-efficiency assessment of energy recovery from waste in incinerators, Resources, Conservation & Recycling, 186, 106589, MOST108-2221-E-006-223-MY3; MOST111-2628-E-002-019-MY3.
  21. Lee, Chia-Yen, Sun, Wei-Chun, and Li, Y.-H., 2022, Biodiesel economic evaluation and biomass planting allocation optimization in global supply chain, IEEE Transactions on Engineering Management, 69 (3), 602-615, MOST106-2628-E-006-009-MY3.
  22. Hung, Yu-Hsin, Lee, Chia-Yen, Tsai, Ching-Hsiung, and Lu, Yen-Ming, 2022, Constrained particle swarm optimization for health maintenance in three-mass resonant servo control system with LuGre friction model, Annals of Operations Research, 311, 131–150, MOST110-2221-E-002-163.
  23. Lee, Chia-Yen, Chou, Bai-Jian, and Huang, C.-F, 2022, Data science and reinforcement learning for price forecasting and raw material procurement in petrochemical industry, Advanced Engineering Informatics, 51, 101443, MOST106-2218-E-031-001.
  24. Lu, Hsuan-Wen, and Lee, Chia-Yen, 2022, Kernel-based dynamic ensemble technique for remaining useful life prediction, IEEE Robotics and Automation Letters, 7 (2), 1142-1149, MOST110-2221-E-002-163.
  25. Shen, Po-Cheng, and Lee, Chia-Yen, 2022, Wafer bin map recognition with autoencoder-based data augmentation in semiconductor assembly process, IEEE Transactions on Semiconductor Manufacturing, 35(2), 198 - 209, MOST110-2221-E-002-163.
  26. Tseng, Chin-Yi, Lee, Chia-Yen*, Wang, Qunwei, Wu, Changsong, 2022, Data envelopment analysis and stochastic equilibrium analysis for market power investigation in a bi-level Market, Transportation Research Part E: Logistics and Transportation Review, 161, 102705, MOST108-2221-E-006-223-MY3.
  27. Shen, Po-Cheng, Lu, Meng-Xiu, and Lee, Chia-Yen*, 2022, Spatio-temporal anomaly detection for substrate strip bin map in semiconductor assembly process, IEEE Robotics and Automation Letters, 7(4), 9493-9500, MOST110-2221-E-002-163.
  28. Lee, Chia-Yen, Wang, K., and Sun, W., 2021, Allocation of emissions permit for China’s iron and steel industry in an imperfectly competitive market: a Nash equilibrium DEA method, IEEE Transactions on Engineering Management, 68 (2), 548-561, MOST106-2628-E-006-009-MY3.
  29. Lee, Chia-Yen, Wu, Chao-Shian, and Hung, Yu-Hsin, 2021, In-line predictive monitoring framework, IEEE Transactions on Automation Science and Engineering, 18 (4), 1668-1678, MOST106-2218-E-031-001.
  30. Chen, H.-K., Lin, Y.-H., and Lee, Chia-Yen, 2021, Convex nonparametric least squares and stochastic semi-nonparametric frontier to estimate the shadow prices of PM2.5 and NOx for Taiwan’s transportation modes, International Journal of Sustainable Transportation, 15 (9), 659-577.
  31. Lee, Chia-Yen, Chang, Ho-Chien, and Wang, K.-W., 2021, Business ecosystem and technology roadmap for Taiwan’s TFT-LCD industry, Technology Analysis & Strategic Management, 33 (1), 1-17.
  32. Lee, Chia-Yen, Zeng, Jun-Hua, Lee, S.-Y., Lu, R.-B., and Kuo, P.-H., 2021, SNP data science for classification of bipolar disorder I and bipolar disorder II, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 18 (6), 2862-2869.
  33. Lee, Chia-Yen, and Cai, Jia-Ying, 2020, LASSO variable selection in data envelopment analysis with small datasets, Omega: The International Journal of Management Science, 91, 102019, MOST106-2628-E-006-009-MY3.
  34. Hung, Shao-Yen, Lee, Chia-Yen, and Lin, Yung-Lun, 2020, Data science for delamination prognosis and online batch learning in semiconductor assembly process, IEEE Transactions on Components, Packaging and Manufacturing Technology, 10 (2), 314-324, MOST106-2218-E-031-001.
  35. Lee, Chia-Yen, and Dong, Zhao-Hong, 2019, Hierarchical equipment health index framework, IEEE Transactions on Semiconductor Manufacturing, 32 (3), 267-276, MOST106-2218-E-031-001.
  36. Tsai, Tsung-Lun, Huang, M.-H., Lee, Chia-Yen, and Lai, W.-W., 2019, Data science for extubation prediction and value of information in surgical intensive care unit, Journal of Clinical Medicine, 8 (10), 1709.
  37. Lee, Chia-Yen, 2019, Decentralized allocation of emission permits by Nash data envelopment analysis in the coal-fired power market, Journal of Environmental Management, 241, 353-362, MOST106-2628-E-006-009-MY3.
  38. Lee, Chia-Yen, Huang, Ting-Syun, Liu, M.-K., and Lan, C.-Y., 2019, Data science for vibration heteroscedasticity and predictive maintenance of rotary bearings, Energies, 12 (5), 801, MOST106-2628-E-006-009-MY3; MOST105-2218-E-007-027.
  39. Lee, Chia-Yen, and Wang, Ke, 2019, Nash marginal abatement cost estimation of air pollutant emissions using the stochastic semi-nonparametric frontier, European Journal of Operational Research, 273 (1), 390-400, MOST106-2628-E-006-009-MY3.
  40. Lee, Chia-Yen, and Tsai, Tsung-Lun, 2019, Data science framework for variable selection, metrology prediction, and process control in TFT-LCD manufacturing, Robotics and Computer-Integrated Manufacturing, 55, 76-87, MOST 105-2218-E-007-027.
  41. Lee, Chia-Yen, 2019, Proactive marginal productivity analysis for business shutdown decision by DEA, Journal of the Operational Research Society, 70(7), 1065-1078, NSC102-2410-H-006-055, MOST103-2221-E-006-122-MY3.
  42. Wang, K., Xian, Y., Lee, Chia-Yen, Wei, Y.-M., and Huang, Z., 2019, On selecting directions for directional distance functions in a non-parametric framework: A review, Annals of Operations Research, 278 (1-2), 43–76, MOST103-2221-E-006-122-MY.
  43. Lee, Chia-Yen, and Liang, Chia-Lung, 2018, Manufacturer's printing forecast, reprinting decision, and contract design in the educational publishing industry, Computers & Industrial Engineering, 125, 678-687, MOST104-2622-E-006-026-CC3.
  44. Wang, Ke, Lee, Chia-Yen, Zhang, J., and Wei, Y.-M., 2018, Operational performance management of the power industry: A distinguishing analysis between effectiveness and efficiency, Annals of Operations Research, 268 (1-2), 513-537, MOST103-2221-E-006-122-MY3.
  45. Lee, Chia-Yen, 2018, Mixed-strategy Nash equilibrium in data envelopment analysis, European Journal of Operational Research, 266 (3), 1013-1024, MOST106-2628-E-006-009-MY3.
  46. Lee, Chia-Yen, and Chen, Bo-Syun, 2018, Mutually-exclusive-and-collectively-exhaustive feature selection scheme, Applied Soft Computing, 68, 961-971, MOST104-2622-E-006-026-CC3, MOST103-2218-E-007-023.
  47. Lee, Chia-Yen, 2017, Directional marginal productivity: A foundation of meta-data envelopment analysis, Journal of the Operational Research Society, 68 (5), 544-555, MOST103-2221-E-006-122-MY3.
  48. Chou, H.-W., Lee, Chia-Yen, Chen, Huey-Kuo, and Tsai, Mon-You, 2016, Evaluating airlines with slack-based measures and meta-frontiers, Journal of Advanced Transportation, 50 (6), 1061–1089.
  49. Lee, Chia-Yen, 2016, Most productive scale size versus demand fulfillment: A solution to the capacity dilemma, European Journal of Operational Research, 248 (3), 954–962, MOST103-2221-E-006-122-MY3.
  50. Lee, Chia-Yen, and Chiang, Ming-Chien, 2016, Aggregate demand forecast with small data and robust capacity decision in TFT-LCD manufacturing, Computers & Industrial Engineering, 99, 415-422, MOST103-2221-E-006-122-MY3 and MOST103-2218-E-007-023.
  51. Lee, Chia-Yen, 2016, Nash-profit efficiency: A measure of changes in market structures, European Journal of Operational Research, 255 (2), 659-663, MOST103-2221-E-006-122-MY3.
  52. Lee, Chia-Yen, and Zhou, Peng, 2015, Directional shadow price estimation of CO2, SO2 and NOx in the United States coal power industry 1990-2010, Energy Economics, 51, 493–502, MOST103-2221-E-006-122-MY3.
  53. Lee, Chia-Yen, and Johnson, A. L., 2015, Effective production: Measuring of the sales effect using data envelopment analysis, Annals of Operations Research, 235 (1), 453–486, NSC101-2218-E-006-023.
  54. Lee, Chia-Yen, 2015, Distinguishing operational performance in power production: A new measure of effectiveness by DEA, IEEE Transactions on Power Systems, 30 (6), 3160–3167, NSC102-2410-H-006-055, NCKU RCETS.
  55. Lee, Chia-Yen, and Johnson, A. L., 2015, Measuring efficiency in imperfectly competitive markets: An example of rational inefficiency, Journal of Optimization Theory and Applications, 164 (2), 702–722., NSC101-2218-E-006-023, NCKU RCETS.
  56. Lee, Chia-Yen, 2014, Meta-data envelopment analysis: Finding a direction towards marginal profit maximization, European Journal of Operational Research, 237 (1), 207–216, NSC102-2410-H-006-055.
  57. Lee, Chia-Yen, Chen, C.-H., and Chien, C.-F., 2014, A simulation analysis for evaluating TFT-LCD fab capacity expansion with a distant transportation problem, International Journal of Production Research, 52 (6), 1868–1885, NSC100-2628-E-007-017-MY3.
  58. Lee, Chia-Yen, and Chien, C.-F, 2014, Stochastic programming for vendor portfolio selection and order allocation under delivery uncertainty, OR Spectrum, 36 (3), 761–797, NSC102-2622-E-007-013.
  59. Lee, Chia-Yen, and Johnson, A. L., 2014, 2014, Proactive data envelopment analysis: Effective production and capacity expansion in stochastic environments, European Journal of Operational Research, 232 (3), 537–548, NSC101-2218-E-006-023.
  60. Lee, Chia-Yen, Johnson, A. L., Moreno-Centeno, E., and Kuosmanen, T., 2013, A more efficient algorithm for convex nonparametric least squares, European Journal of Operational Research, 227 (2), 391–400.
  61. Lee, Chia-Yen and Johnson, A. L., 2012, Two-dimensional efficiency decomposition to measure the demand effect in productivity analysis, European Journal of Operational Research, 216 (3), 584–593.
  62. Lee, Chia-Yen and Johnson, A. L., 2011, A decomposition of productivity change in the semiconductor manufacturing industry, International Journal of Production Research, 49 (16), 4761–4785.
  63. Chien, C.-F., Lee, Chia-Yen, Huang, Y., and Wu, W., 2009, An efficient computational procedure for determining the container loading pattern, Computers & Industrial Engineering, 56 (3), 965–978, NSC95-2221-E-007-126.
Book
  1. Lee, Chia-Yen, and Hung, Yu-Hsin, 2022, Manufacturing Data Science: Toward Intelligent Manufacturing and Digital Decision (製造數據科學：邁向智慧製造與數位決策) 前程文化
Book Paper
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Technical Report
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