People

      "People are like bicycles. They can keep their balance only as long as they keep moving."    - Albert Einstein
 
  Director



  Assistant

[1] 林郁莉 (Lily Lin)

POLab Secretary-General (秘書長) POLab Chief Financial Officer (財務長) Expertise: Versatile and Multi-skill Assistant 專 長：萬能的~無所不能~~

  Ph.D. in IM, NTU

[3] 陳彥彣 (Yen-Wen Chen)

Linkedin Rookie Camp Sharing: Inclusion of domain knowledge into deep neural networks Individual Studies: Trust AI and human-centered data science Teaching Assistant: Operations Research Applications (作業研究應用與實作) Module Developer: High-frequency feature engineering technique for PHM Award and Honor 國立臺灣大學博士生獎學金(椰林優秀博士生獎學金) 2023-2026 Research Assistant:        Evaluation Scheme for Time-Series Feature Engineering        (時間序列資料收集與特徵轉換之評分機制, 2022)        Collaborator: Delta Electronics Inc. (台達電子工業股份有限公司) Publication: Hung, I-Ting, Lee, Chia-Yen*, Chen, Yen-Wen, Tsai, Ching-Hsiung, Wu Jia-Ming. 2024. Friction-based on-line health assessment and predictive maintenance for belt drive system. Lecture Notes in Mechanical Engineering, A Springer book series. Flexible Automation and Intelligent Manufacturing: Manufacturing Innovation and Preparedness for the Changing World Order: Proceedings of FAIM2024, June 23–26, 2024, Taichung, TAIWAN. (Third Prize Best Paper Award, the 33th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2024) 榮獲2024彈性自動化與智慧製造國際研討會最佳論文獎第三名)

[2] 方鈺學 (Yu-Hsueh Fang)

Linkedin Individual Studies: Data Quality Rookie Camp Sharing: Modern Optimization Issues, Implementation, and Algorithms(ADMM, AutoDiff, and Trust Region Newton Method) Rookie Camp Sharing: Advanced Optimization Theory (eg. Predictive Optimization; distributed optimization) Teaching Assistant: Data Strategist (數據參謀：思考的技術) Award and Honor 國立臺灣大學博士生獎學金(椰林優秀博士生獎學金) 2022-2025 Research Assistant        tsmc (台灣積體電路製造股份有限公司)        CMIS Data Clean and Database System Reconstruction for Purchase Order Matching (2022)        CMIS 資料清理與採購標單比對系統架構重構 Publication Fang, Yu-Hsueh (方鈺學), Chiang, Tsai-Pin (江采嬪), Wu, Yen-Tung (吳延東), and Lee, Chia-Yen, 2022. Cap-and-Trade and Carbon Pricing (排放權交易與碳定價). In CIIE (中國工業工程學會) (eds), Sustainable Engineering and Management (永續工程與管理), 前程文化. (in Chinese) 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.

[1] 洪佑鑫 (Yu-Hsin Jeff  Hung)

Linkedin Co-Founder: Manufacturing Digital Transformation Academy (製造數位轉型學院) Product Developer: Raw Material Price Forecast and Procurement Optimization (原料價格預測與採購最佳化) Module Developer: Time Series Forecast (時間序列預測) Rookie Camp Sharing: Advanced XAI Rookie Camp Sharing: XAI and Advanced Statistical Machine Learning (eg. Double ML) Rookie Camp Sharing: Research Attitude and Guideline Rookie Camp Sharing: Automatic Control, PSO, and Bayesian Optimization Rookie Camp Sharing: Deep Reinforcement Learning Individual Studies: Explainable AI and Nonparametric Regression Teaching Assistant: Data Strategist (數據參謀：思考的技術) Research Assistant:        Evaluation Scheme for Time-Series Feature Engineering        (時間序列資料收集與特徵轉換之評分機制, 2022)        Collaborator: Delta Electronics Inc. (台達電子工業股份有限公司) Journal Publication: Hung, Yu-Hsin, and Lee, Chia-Yen*, 2024. BMB-LIME: LIME with Modeling Local Nonlinearity and Uncertainty in Explainability. Knowledge-Based Systems. 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. 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. (NSTC112-2221-E-002-003) Book Publication: Lee, Chia-Yen, and Hung, Yu-Hsin, 2022. Manufacturing Data Science (製造數據科學). 前程文化. (in Chinese) Book Chapter: Lee, Chia-Yen, Hung, Yu-Hsin, and Chen, Yen-Wen, 2021. Hybrid data science and reinforcement learning in data envelopment analysis. In: Zhu, J. and Charles V. (eds), Data-Enabled Analytics: DEA for Big Data, International Series in Operations Research & Management Science, vol 312, Springer. Award and Honor 國立臺灣大學博士生獎學金(椰林優秀博士生獎學金) 2021-2024 Shen, Hong-Ying, Hung, Yu-Hsin, and Lee, Chia-Yen, 2022. Deep Reinforcement Learning Preventive Maintenance of Deteriorated Machine in a Flow Line. 2022 Chinese Institute of Industrial Engineers Annual Conference (CIIE 2022), National Quemoy University, Kinmen, Taiwan. (Best Paper Award) 榮獲2022中國工業工程年會暨學術研討會 最佳論文獎! Mentor, Dynamic Pricing on Food Delivery Platforms: A Reinforcement Learning Approach (外送平台之動態定價：應用強化學習的訂價策略) Honorable. Mention, University Project Competition of 2022 Operations Research Society of Taiwan (June 2022) 2022台灣作業研究學會大專校院專題競賽 決策支援與資訊系統組 佳作

  Master in IM/GMBA, NTU


[26] 徐嘉妤 (Jia-Yu Hsu) (2024)

Linkedin Rookie Camp Sharing: Deep Learning(CNN,RNN,LSTM)/ Spatio-Temporal Model/ BERT/ Transformer/ Attention

[25] 禇家帆 (Chia-Fan Chu) (2024)

Linkedin Rookie Camp Sharing: Genetic Algorithm/ NAGA-II for Scheduling/ Dynamic Flexible Job Shop Scheduling

[24] 孫敏恩 (Min-En Sun) (2024)

Linkedin Rookie Camp Sharing: Deep Reinforcement Learning

[23] 徐浚凱 (Chun-Kai Jacky Hsu) (2024)

Linkedin Rookie Camp Sharing: Computer Age Statistical  Inference

[22] 柯怡成 (Yi-Cheng Ke) (2024)

Linkedin Rookie Camp Sharing: Nonparametric regression/ Nonparametric classification/ Reproducing kernel Hilbert spaces/ Density estimation

[21] 符慧詩 (Lisa Angereni) (2023)

Linkedin Scholarship: NTU Outstanding International Graduate Student Scholarship Thesis: Sustainability and Waste Management in Indonesian Metal Packaging Industry: Evaluating the Transformation from Pallet Carton to Plastic Divider.

[20] 陳祖譽 (Welbey Prasadirta) (2023)

Linkedin Individual Studies: Material Procurement Optimization Rookie Camp Sharing: Distributional RL, CVaR, and Inventory Management

[19] 洪睿謙 (Rui-Qian Hong) (2023)

Linkedin Individual Studies: Nonlinear Time-Series Feature Engineering Rookie Camp Sharing: Deep Reinforcement Learning

[18] 李宗陽 (Zong-Yang Li) (2023)

Linkedin Individual Studies: Prognostics and Health Management (PHM) Rookie Camp Sharing: Deep Learning(CNN,RNN,LSTM)/ Spatio-Temporal Model/ BERT/ Transformer/ Attention Award: 榮獲2023中國工業工程年會暨學術研討會 最佳論文獎! Publication: 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, on Dec. 9, 2023. (Best Paper Award)

[17] 李郁恩 (Yu-En_Li) (2023)

Linkedin Individual Studies: Semiconductor Packaging Spillover Quality Prediction Rookie Camp Sharing: Explainable AI and Trust AI

[16] 賴毅愷 (I-Kai_Lai) (2023)

Linkedin Individual Studies: Preventive Maintenance Scheduling Rookie Camp Sharing: Genetic Algorithm/ NAGA-II for Scheduling/ Dynamic Flexible Job Shop Scheduling Award: 榮獲2023中國工業工程年會暨學術研討會 最佳論文獎! Publication: Chu, Pin-Chi (朱彬祺), Lai, I-Kai (賴毅愷), Lee, Chia-Yen, 2023. Real Options and PHM-based Maintenance Scheduling of Bearing Degradation (實質選擇權與基於健康預測的維修保養於軸承退化). 2023 Chinese Institute of Industrial Engineers Annual Conference (CIIE2023), Feng Chia University, Taichung, Taiwan, on Dec. 9, 2023. (Best Paper Award)

[15] 許智堯 (Chih-Yao Hsu) (2022)

Linkedin Individual Studies: Domain knowledge in deep learning Rookie Camp Sharing: High-dimensional testing/Concentration of measure/Sparsity and the lasso/Graphical models Rookie Camp Sharing: Advanced Process Control (APC)/ Run-to-Run (R2R) Research Assistant:        tsmc (台灣積體電路製造股份有限公司)        CMIS Data Clean and Database System Reconstruction for Purchase Order Matching (2022)        CMIS 資料清理與採購標單比對系統架構重構

[14] 許芸嘉 (Yun-Chia Hsu) (2022)

Linkedin Individual Studies: Capacity planning and robust optimization for ensemble methods Rookie Camp Sharing: Computer Age Statistical  Inference Teaching Assistant: Manufacturing Data Science (製造數據科學) Research Assistant:        tsmc (台灣積體電路製造股份有限公司)        CMIS Data Clean and Database System Reconstruction for Purchase Order Matching (2022)        CMIS 資料清理與採購標單比對系統架構重構 Award:       Dynamic Pricing for Delivery Platform: Pricing Strategy Optimization by Reinforcement Learning       外送平台之動態定價：應用強化學習的定價策略       Honorable. Mention, University Project Competition of 2022 Operations Research Society of Taiwan (June 2022)       2022台灣作業研究學會大專校院專題競賽 決策支援與資訊系統組 佳作 Publication: 李家岩、林大禾、許芸嘉、郭秉宸、蔡明順、葉清來，2024。宏遠興業邁向工業4.0轉型全球在地化策略布局。管理個案評論，15(1)，27–54。

[13] 康崴 (Wei Kang) (2022)

Linkedin Individual Studies: Capacity planning, most productive scale size, and data envelopment analysis Rookie Camp Sharing: Nonparametric regression/ Nonparametric classification/ Reproducing kernel Hilbert spaces/ Density estimation Rookie Camp Sharing: Multi-objective RL/ Distributional RL/ Conditional Value at Risk/QRDQN/Offline RL/採購模組 Teaching Assistant: Management Mathematics (管理數學) Research Assistant:        Evaluation Scheme for Time-Series Feature Engineering        (時間序列資料收集與特徵轉換之評分機制, 2022)        Collaborator: Delta Electronics Inc. (台達電子工業股份有限公司) Award:       Dynamic Pricing for Delivery Platform: Pricing Strategy Optimization by Reinforcement Learning       外送平台之動態定價：應用強化學習的定價策略       Honorable. Mention, University Project Competition of 2022 Operations Research Society of Taiwan (June 2022)       2022台灣作業研究學會大專校院專題競賽 決策支援與資訊系統組 佳作

[12] 盧冠均 (Kuan-Chun Lu) (2022)

Linkedin Rookie Camp Sharing: Preventive Maintenance Scheduling Rookie Camp Sharing: Monkey Algorithm/ Genetic Algorithm/ NAGA-II forr Scheduling/ Dynamic Flexible Job Shop Scheduling Individual Studies: Reinforcement learning for dynamic flexible job shop scheduling Teaching Assistant: Manufacturing Data Science (製造數據科學) Research Assistant:        AU Optronics Corp. (友達光電股份有限公司)        An Optimal Tradeoff of Preventive Maintenance between Yield and Capacity in the Panel Manufacturer (2020)        面板廠機台保養與借機之產能良率權衡決策專案計畫        Intelligent Scheduling Optimization for Front-End of Cell Line in TFT-LCD Manufacturer        Cell 前段(Feol)智慧排程最佳化研究計畫        Collaborator: AU Optronics Corp. (友達光電) Honor:        傑出教學助理，製造數據科學，2023(Fall), NTU Award:       榮獲2023中國工業工程年會暨學術研討會 最佳論文獎!       Dynamic Pricing for Delivery Platform: Pricing Strategy Optimization by Reinforcement Learning       外送平台之動態定價：應用強化學習的定價策略       Honorable. Mention, University Project Competition of 2022 Operations Research Society of Taiwan (June 2022)       2022台灣作業研究學會大專校院專題競賽 決策支援與資訊系統組 佳作 Publication: Huang, Yi-Tao (黃奕滔), Lu, Kuan-Chun (盧冠均), Lee, Chia-Yen, 2023. Deep Reinforcement Learning Embedded with Robust Optimization for Petrochemical Production Scheduling (穩健最佳化嵌入深度強化學習於化工廠生產排程). Chinese Institute of Industrial Engineers Annual Conference (CIIE2023), Feng Chia University, Taichung, Taiwan, on Dec. 9, 2023. (Best Paper Award)

[11] 江采嬪 (Tsai-Pin Chiang) (2021)

Linkedin Product Developer: Cap-and-Trade (排放權交易) and Carbon Pricing (碳定價) Rookie Camp Sharing: Data Envelopment Analysis and Network DEA                                                                          Rookie Camp Sharing: Deep Reinforcement Learning Rookie Camp Sharing: Robust RL/ Distributional RL/ Conditional Value at Risk/QRDQN        Individual Studies: Reinforcement Learning for Data Envelopment Analysis Teaching Assistant: Productivity and Efficiency Analysis (生產力與效率分析) Start-up: Marginal Abatement Costs Database for Cap-and-Trade Rearch Assistant:        ASE Group (日月光半導體製造股份有限公司)        Intelligent Preventive Maintenance Systems (2021)        智慧預防保養系統        ASE Group (日月光半導體製造股份有限公司)        Glue Spill Prediction and Predictive Maintenance in Semiconductor Assembly (2022)        半導體封裝溢膠品質預測與機台預測性維護 Publication: 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. Fang, Yu-Hsueh (方鈺學), Chiang, Tsai-Pin (江采嬪), Wu, Yen-Tung (吳延東), and Lee, Chia-Yen, 2022. Cap-and-Trade and Carbon Pricing (排放權交易與碳定價). In CIIE (中國工業工程學會) (eds), Sustainable Engineering and Management (永續工程與管理), 前程文化. (in Chinese)

[10] 莊芯瑜 (Xin-Yu Zhuang) (2021)

Linkedin                                  Rookie Camp Sharing: RO Math under uncertainty sets and second-order cone programming Rookie Camp Sharing: Piecewise Linearization/Binary Variable Reduction/Benders Decomposition/Lagrangian Relaxation for Upper/Lower Bound        Rookie Camp Sharing: Scheduling: Theory, Algorithms, and Systems                                          Individual Studies: Intelligent Container for Transshipment Logistic Optimization Teaching Assistant: Manufacturing Data Science (製造數據科學) Research Assistant:        AU Optronics Corp. (友達光電股份有限公司)        An Optimal Tradeoff of Preventive Maintenance between Yield and Capacity in the Panel Manufacturer (2020)        面板廠機台保養與借機之產能良率權衡決策專案計畫 Thesis Transshipment Network Optimization for Shared Smart Locker and Crowd-shipping in Metropolis 共享智能櫃與眾包運輸之都會區轉運網路最佳化 Publication: Zhuang, Xin-Yu, Wang, I-Lin, and Lee, Chia-Yen, 2022. A First and Last-Mile Delivery Problem in City Logistics by Crowd Shipping and Smart Lockers. 2022 Chinese Institute of Industrial Engineers Annual Conference (CIIE 2022), Nov. 11-13, 2022, National Quemoy University, Kinmen, Taiwan. Award: Master Thesis Award at Operations Research Session in Chinese Institute of Industrial Engineers (CIIE) (June 2023) 榮獲中國工業工程學會碩士論文獎 [作業研究組] 優勝!

[9] 蕭瑞昕 (Jui-Hsin Hsiao) (2021)

Linkedin Individual Studies: Deep learning for Mura defects Module Developer: Time Series Forecast (時間序列預測) Rookie Camp Sharing: few-shot learning, meta learning, Image Demoiring Rookie Camp Sharing: Time Series Text Mining and Sentiment analysis of online news for oil price forecast/ Granger causality test Rookie Camp Sharing: The Elements of Statistical Learning                                                                                            Individual Studies: Time-Series Forecasting for Demand of Refrigeration Ton Teaching Assistant: Management Mathematics (管理數學) Research Assistant:       Winbond (華邦電子)       Optimization Algorithm for Chiller Energy Saving (2021)       廠務冰機節能最佳化之演算法        ASE Group (日月光半導體製造股份有限公司)        Glue Spill Prediction and Predictive Maintenance in Semiconductor Assembly (2022)        半導體封裝溢膠品質預測與機台預測性維護 Publication: Chang, Chih-Chun, Hsiao, Jui-Hsin, and Lee, Chia-Yen, 2022. Chiller System Optimization with Meta-prediction-based simulation and Multi-agent Reinforcement Learning. 2022 Chinese Institute of Industrial Engineers Annual Conference (CIIE 2022), National Quemoy University, Kinmen, Taiwan. (Best Paper Award) 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 26st Decision Analysis Symposium (DAS 2024), National Taiwan University of Science and Technology, Taipei, Taiwan, on Jan. 6, 2024. (Best Paper Award) Award: 榮獲2022中國工業工程年會暨學術研討會 最佳論文獎! 榮獲2024決策分析研討會 最佳論文獎!

[8] 朱彬祺 (Pin-Chi Chu) (2021)

Linkedin Rookie Camp Sharing: Computer Age Statistical  Inference Rookie Camp Sharing: Preventive Maintenance Scheduling Rookie Camp Sharing: Partial Least Squares Structural Equation Modeling (PLS-SEM)                                                                          Individual Studies: Support Vector Data Description for Prognostics and Health Management (PHM) Teaching Assistant: Manufacturing Data Science (製造數據科學) Research Assistant:       AU Optronics Corp. (友達光電)       Cyber-Physical Intelligent Diagnosis, Augmented Reality, and Predictive Maintenance System (2021-2024)       學門主題式計畫-智能設備診斷補償、擴增實境與預測保養系統 Award: 榮獲2023中國工業工程年會暨學術研討會 最佳論文獎! Publication: Chu, Pin-Chi (朱彬祺), Lai, I-Kai (賴毅愷), Lee, Chia-Yen, 2023. Real Options and PHM-based Maintenance Scheduling of Bearing Degradation (實質選擇權與基於健康預測的維修保養於軸承退化). 2023 Chinese Institute of Industrial Engineers Annual Conference (CIIE2023), Feng Chia University, Taichung, Taiwan, on Dec. 9, 2023. (Best Paper Award) Song, Ting-Yuan, Chu, Pin-Chi, and Lee, Chia-Yen, 2022. Deep Learning for Prognostic and Health Management. 2022 Chinese Institute of Industrial Engineers Annual Conference (CIIE 2022), Nov. 11-13, 2022, National Quemoy University, Kinmen, Taiwan.

[7] 黃奕滔 (Yi-Tao Huang) (2021)

Linkedin Package Developer: Robust Optimization (穩健最佳化) Rookie Camp Sharing: Piecewise Linearization/Binary Variable Reduction/ Benders Decomposition/Lagrangian Relaxation for Upper/Lower Bound/Optimization Gap Rookie Camp Sharing: Robust Optimization, Practical Guide to RO                                                                             Rookie Camp Sharing: Robust Optimizatin and Reinforcement Learning Individual Studies: Robust Optimization for Preventive Maintenance Scheduling Teaching Assistant: Management Mathematics (管理數學) Rearch Assistant:        ASE Group (日月光半導體製造股份有限公司)        Glue Spill Prediction and Predictive Maintenance in Semiconductor Assembly (2022)        半導體封裝溢膠品質預測與機台預測性維護        Intelligent Scheduling Optimization for Front-End of Cell Line in TFT-LCD Manufacturer        Cell 前段(Feol)智慧排程最佳化研究計畫        Collaborator: AU Optronics Corp. (友達光電) Award: 榮獲2023中國工業工程年會暨學術研討會 最佳論文獎! Publication: 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. (MOST111-2221-E-002-197) Huang, Yi-Tao (黃奕滔), Lu, Kuan-Chun (盧冠均), Lee, Chia-Yen, 2023. Deep Reinforcement Learning Embedded with Robust Optimization for Petrochemical Production Scheduling (穩健最佳化嵌入深度強化學習於化工廠生產排程). Chinese Institute of Industrial Engineers Annual Conference (CIIE2023), Feng Chia University, Taichung, Taiwan, on Dec. 9, 2023. (Best Paper Award) Chang, Kai, Huang, Yi-Tao, and Lee, Chia-Yen, 2022. Process and Sensor Anomaly Detection with Autoencoder-based Dynamic Control Limits. 2022 Chinese Institute of Industrial Engineers Annual Conference (CIIE 2022), Nov. 11-13, 2022, National Quemoy University, Kinmen, Taiwan.

[6] 陳柏儒 (Bo-Ru Chen) (2021)

Linkedin Co-Founder: Manufacturing Digital Transformation Academy (製造數位轉型學院) Rookie Camp Sharing: Knowledge Graph and Knowledge Distillation                                                                             Rookie Camp Sharing: Causal Inference and RUL prediction Rookie Camp Sharing: Causal Inference and Statistical Machine Learning Individual Studies: Project Portfolio Selection Problem Teaching Assistant: Manufacturing Data Science (製造數據科學) Case Study: AI個案集-紡織業數位轉型 Research Assistant:       AU Optronics Corp. (友達光電)       Cyber-Physical Intelligent Diagnosis, Augmented Reality, and Predictive Maintenance System (2021-2024)       學門主題式計畫-智能設備診斷補償、擴增實境與預測保養系統 Award: 榮獲2023中國工業工程年會暨學術研討會 最佳論文獎! Publication: 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, on Dec. 9, 2023. (Best Paper Award) Chen, Bo-Ru, and Lee, Chia-Yen, 2022. A Health Indicator Monitoring Framework and Remaining Useful Life Estimation by Exponential Degradation Model. 2022 Chinese Institute of Industrial Engineers Annual Conference (CIIE 2022), Nov. 11-13, 2022, National Quemoy University, Kinmen, Taiwan.

[5] 張智鈞 (Chih-Chun Chang) (2020)

Linkedin Module Developer: Feature Engineering (特徵工程) Rookie Camp Sharing: PHM and Deep Learning Rookie Camp Sharing: Multi-Agent Reinforcement Learning and Energy Saving Optimization in Chiller System Rookie Camp Sharing: Computer Age Statistical  Inference Summer Studies: In-Line Predictive Monitoring Framework Individual Studies: Prognostics and Health Management (PHM) and Energy Saving for Chiller Optimization Teaching Assistant: Manufacturing Data Science (製造數據科學) Research Assistant:       Winbond (華邦電子)       Optimization Algorithm for Chiller Energy Saving       廠務冰機節能最佳化之演算法 Thesis:     基於多代理人與元預測之強化學習於冰機節能最佳化     Multi-agent and Meta-prediction-based Reinforcement Learning for Energy Saving Optimization in Chiller System Publication: Chang, Chih-Chun, Hsiao, Jui-Hsin, and Lee, Chia-Yen, 2022. Chiller System Optimization with Meta-prediction-based simulation and Multi-agent Reinforcement Learning. 2022 Chinese Institute of Industrial Engineers Annual Conference (CIIE 2022), National Quemoy University, Kinmen, Taiwan. (Best Paper Award) Award: 榮獲2022中國工業工程年會暨學術研討會 最佳論文獎!

[4] 宋亭遠 (Ting-Yuan Song) (2020)

Linkedin Module Developer: Feature Engineering (特徵工程) Rookie Camp Sharing: Deep Reinforcement Learning and Traffic Control Rookie Camp Sharing: Deep Learning(CNN,RNN,LSTM)/ Spatio-Temporal model/ BERT/ Transformer/ Attention Rookie Camp Sharinng: Text Mining and Sentiment analysis of online news for oil price forecast/ Granger causality Summer Studies: Text Mining with News Sentiment Analysis for Price Prediction Individual Studies: Bidirectional Encoder Representations from Transformers (BERT) and Supervised Attention Teaching Assistant: Management Mathematics (管理數學) Teaching Assistant: Manufacturing Data Science (製造數據科學) Research Assistant:       AU Optronics Corp. (友達光電)       Cyber-Physical Intelligent Diagnosis, Augmented Reality, and Predictive Maintenance System (2021-2024)       學門主題式計畫-智能設備診斷補償、擴增實境與預測保養系統       Institute for Information Industry (III) (財團法人資訊工業策進會)       Benchmarking Research on Professional Techniques for Electrical Talents       (智慧電子人才應用發展推動計畫-專業職能基準研究, 2021) Thesis:     基於作動深度學習於物理氣相沉積設備故障預測與健康管理     Motion-based Deep Learning for Prognostic and Health Management of Physical Vapor Deposition Equipment Publication: Song, Ting-Yuan, Chu, Pin-Chi, and Lee, Chia-Yen, 2022. Deep Learning for Prognostic and Health Management. 2022 Chinese Institute of Industrial Engineers Annual Conference (CIIE 2022), Nov. 11-13, 2022, National Quemoy University, Kinmen, Taiwan.

[3] 張鎧 (Kai Chang) (2020)

Linkedin Rookie Camp Sharing: Meta-Heuristic Algorithms for Production Scheduling Rookie Camp Sharing: Concept Drift (eg. weighting majority), Domain Adaptation, Transfer Learning, Adaptive Machine Learning Rookie Camp Sharing: Equipment Health Monitoring, PHM, Predictive Maintenance (PdM) Individual Studies: Heuristic for Production Scheduling in Textile Manufacturer                                                         Preventive Maintenance Optimization Teaching Assistant: Management Mathematics (管理數學) Research Assistant:        ASE Group (日月光半導體製造股份有限公司)        Intelligent Preventive Maintenance Systems (2021)        智慧預防保養系統 Thesis:     基於自編碼器的動態管制界線偵測製程與量測異常     Autoencoder-based Dynamic Control Limits for Process and Sensor Anomaly Detection Publication: Lee, Chia-Yen*, Chang, Kai, Ho, Chien, 2024. Autoencoder-based Detector for Distinguishing Process Anomaly and Sensor Failure. International Journal of Production Research. Chang, Kai, Huang, Yi-Tao, and Lee, Chia-Yen, 2022. Process and Sensor Anomaly Detection with Autoencoder-based Dynamic Control Limits. 2022 Chinese Institute of Industrial Engineers Annual Conference (CIIE 2022), Nov. 11-13, 2022, National Quemoy University, Kinmen, Taiwan.

[2] 沈宏穎 (Hung-Ying Shen) (2020)

Linkedin Co-Founder: Manufacturing Digital Transformation Academy (製造數位轉型學院) Rookie Camp Sharing: Advanced Scheduling and Reinforcement Learning Rookie Camp Sharing: Deep Reinforcement Learning Rookie Camp Sharing: XAI: SHAP and LIME Individual Studies: Yield Prediction and Preventive Maintenance Optimization in TFT-LCD Manufacturer Summer Studies: Deep Reinforcement Learning for Preventive Maintenance Scheduling Teaching Assistant: Manufacturing Data Science (製造數據科學) Research Assistant:        AU Optronics Corp. (友達光電股份有限公司)        An Optimal Tradeoff of Preventive Maintenance between Yield and Capacity in the Panel Manufacturer (2020)        面板廠機台保養與借機之產能良率權衡決策專案計畫 Thesis: Deep reinforcement learning-based preventive maintenance for repairable machines with deterioration in flow line system 基於深度強化學習之預防性保養政策於上下游可修復的耗損機台 Publication: 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. Shen, Hong-Ying, Hung, Yu-Hsin, and Lee, Chia-Yen, 2022. Deep Reinforcement Learning Preventive Maintenance of Deteriorated Machine in a Flow Line. 2022 Chinese Institute of Industrial Engineers Annual Conference (CIIE 2022), National Quemoy University, Kinmen, Taiwan. (Best Paper Award) Award: 榮獲2022中國工業工程年會暨學術研討會 最佳論文獎!

[1] 吳延東 (Yen-Tung Wu) (2020)

Linkedin Product Developer: Cap-and-Trade (排放權交易) and Carbon Pricing (碳定價) Rookie Camp Sharing: Stochastic Data Envelopment Analysis and DEA with Python Rookie Camp Sharing: Deep Reinforcement Learning Rookie Camp Sharing: Multiple-Objective Capcity Planning with Data Envelopment Analysis Summer Studies: Productivity and Efficiency Analysis/ Data Envelopment Analysis Individual Studies: Symbolic Regression with Regularization for Production Function Estimation Teaching Assistant: Operations Research Applications (作業研究應用與實作) Teaching Assistant: Productivity and Efficiency Analysis (生產力與效率分析) Research Assistant:        ASE Group (日月光半導體製造股份有限公司)        Intelligent Preventive Maintenance Systems (2021)        智慧預防保養系統 Thesis:     藉由元資料包絡分析進行臺灣壽險業的邊際生產力與效率分析     Marginal Productivity and Efficiency Analysis on Taiwan’s Life Insurance Industry through Meta-Data Envelopment Analysis Publication: Wu, Yen-Tung, and Lee, Chia-Yen, 2023. Marginal Productivity of Product Mix Matters? Data Envelopment Analysis for Marginal Profit Consistency in Taiwan’s Life Insurance Industry. Operations Research Forum. Wu, Yen-Tung, and Lee, Chia-Yen, 2022. Meta-Data Envelopment Analysis for Taiwan’s Life Insurance Industry. 2022 Chinese Institute of Industrial Engineers Annual Conference (CIIE 2022), Nov. 11-13, 2022, National Quemoy University, Kinmen, Taiwan. Fang, Yu-Hsueh (方鈺學), Chiang, Tsai-Pin (江采嬪), Wu, Yen-Tung (吳延東), and Lee, Chia-Yen, 2022. Cap-and-Trade and Carbon Pricing (排放權交易與碳定價). In CIIE (中國工業工程學會) (eds), Sustainable Engineering and Management (永續工程與管理), 前程文化. (in Chinese)

  Undergraduate (project in Information Management), NTU

[4] 邱秉辰、陳定宏、陳郁婷、陳鵬仁、劉正悅、李承軒
      Github: https://github.com/improject-asianhate/news-article-analysis

[3] 史康宇、吳驊祐、林孟璇、周成康、陳瑾叡、黃戎僔
      數據科學分析的土壤：Trust AI & Data Quality Pipeline

[2] 莊翔安、陳旻浚、劉鈺祥、歐崇愷
      Sushruta：基於深度學習與時間作動的手術輔助工具

[1] 林大禾、許芸嘉、陳柄瑞、黃季昕、康崴、盧冠均
      Dynamic Pricing for Delivery Platform: Pricing Strategy Optimization by Reinforcement Learning
      外送平台之動態定價：應用強化學習的定價策略
      Award: Honorable. Mention, University Project Competition of 2022 Operations Research Society of Taiwan (June 2022)
      2022台灣作業研究學會大專校院專題競賽 決策支援與資訊系統組 佳作


  Ph.D. in IMIS, NCKU


[7] 謝宗達 (Tsung-Da Hsieh) (2020)

Linkedin Rookie Camp Sharing: The Elements of Statistical Learning Rookie Camp Sharing: GAN (Generative Adversarial Networks), autoencoder, Graph NN, Graph Spatio-Temporal Networks

[6] 楊潓賢 (Hui-Xian Yang)

Linkedin Rookie Camp Sharing: Image Processing and Pattern Recognition Rookie Camp Sharing: The Elements of Statistical Learning       Rookie Camp Sharing: Business and Industry Applications Summer Studies: Image Recognition for Microchip Lead Inspection

[5] 沈柏丞 (Po-Cheng Shen)

Linkedin Module Developer: Spatio-Temporal Data Science Model (時空數據科學模型) Rookie Camp Sharing: Few-Shot Learning, Meta Learning, and Generative Adversarial Networks (GAN) Rookie Camp Sharing: 深度學習進階議題(eg. 生成式AI, Concept Drift, Domain Adaptation, Transfer   Learning, Adaptive Machine Learning) Individual Studies: Elements of Statistical Learning: Data Mining, Inference, and Prediction Individual Studies: Deep Learning and CNN Individual Studies: Incomplete Dataset and Re-check Mechanism for Overkill False Alarm Teaching Assistant: Data Mining (資料探勘) Teaching Assistant: Operations Research Applications and Implementation (作業研究應用與實作) Certificate: 2019 Intelligent Production Scheduling System Workshop (智慧生產排程系統研習會) Research Assistant: ASE Group (日月光半導體製造股份有限公司)        Strip Map Analysis of the Substrate in the Chip Bond Process of the Semiconductor Equipment        半導體設備Strip Map分析之製程精進, 2020         Root Cause Identification of Wafer Bin Map in Semiconductor Equipment        半導體設備晶圓分析之追因行動 2019 Thesis:     Deep Learning for Wafer Bin Map Recognition and  Quality Re-Inspection System     深度學習於晶圓圖辨識與品檢覆判系統 Publications: 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. Award: Master Thesis Award at Empirical Study Session in Chinese Institute of Industrial Engineers (CIIE) (July 2020) 榮獲中國工業工程學會碩士論文獎 [實務個案組] 優勝! Deep Learning for Wafer Bin Map Recognition and  Quality Re-Inspection System 深度學習於晶圓圖辨識與品檢覆判系統 Master Thesis Award at 2020 Operations Research Society of Taiwan (ORSTW) (Nov. 2020) 2020台灣作業研究學會碩博士論文競賽 優勝 Award: 斐陶斐榮譽學會會員 (The Phi Tau Phi Scholastic Honor Society) (2024)

[4] 盧宣文 (Hsuan-Wen Lu)

Linkedin Product Developer: Data Quality Assessment (數據品質評估) Module Developer: Feature Engineering (特徵工程) Rookie Camp Sharing: Signal Processing (time domain/frequency domain/ EMD/ time-frequency domain, voice data), Prognostic and Health Management (PHM) Rookie Camp Sharing: Signal Processing (time domain/frequency domain/ EMD/ time-frequency domain)/ Feature Engineering and Augmentation Rookie Camp Sharing: Adaptive Machine learning Individual Studies: Remaining Useful Life Prediction of Sensor Signals Individual Studies: Elements of Statistical Learning: Data Mining, Inference, and Prediction Individual Studies: Predictive Maintenance (PdM) and its Methodologies Individual Studies: Prognostics and Health Management (PHM) and Data Quality Investigation Teaching Assistant: Data Mining (資料探勘) Teaching Assistant: Mathematical Programming for Scheduling/ Python排程數學規劃教學     2018 Intelligent Production Scheduling System Workshop (智慧生產排程系統研習會) Teaching Assistant: Operations Research Applications and Implementation (作業研究應用與實作) Certificate: 2018 MOST Short Courses in Frontier Science and Technology (Smart Manufacturing Camp)     2018 中央研究院「尖端科技研習營」─智慧製造研習營 Research Assistant: 西柏容 Seberon Research Assistant: LCY Chemical Corp. (李長榮化學工業股份有限公司)     Continousou-flow Production Scheduling Algorithm for Petrochemical Batch Processes     化工連續流生產排程演算法, 2019 Research Assistant       AU Optronics Corp. (友達光電)       Cyber-Physical Intelligent Diagnosis, Augmented Reality, and Predictive Maintenance System (2021-2024)       學門主題式計畫-智能設備診斷補償、擴增實境與預測保養系統 Thesis:     Kernel-Density Dynamic Ensemble Technique for Predictive Maintenance     發展核密度動態集成技術於預測保養 Publications:     Lu, Hsuan-Wen (盧宣文), and  Chia-Yen Lee, 2019. Kernel-Density Dynamic Ensemble Technique for Predictive Maintenance (發展核密度動態集成技術於預測保養). 2019 Chinese Institute of Industrial Engineers (CIIE) Conference & Annual Meeting, Nov. 23, 2019, National Taipei University of Technology, Taipei, Taiwan. 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. Lu, Hsuan-Wen, and Lee, Chia-Yen*, 2024. Feature-enhanced multisource subdomain adaptation on robust remaining useful life prediction. IEEE Robotics and Automation Letters.     李家岩、楊舒惠、歐子毓、盧宣文, 2022。數據科學分析的土壤：數據品質評估，東華AI通訊報，第三期。 Award: Honorable Mention of Master Thesis Award at Information System Session in Chinese Institute of Industrial Engineers (CIIE) (July 2020) 榮獲中國工業工程學會碩士論文獎 [資訊系統組] 佳作! Kernel-Density Dynamic Ensemble Technique for Predictive Maintenance 發展核密度動態集成技術於預測保養

[3] 黎耀文 (Yao-Wen Li)

Linkedin Rookie Camp Sharing: Deep Learning, YOLO, GAN (Generative Adversarial Networks), autoencoder Rookie Camp Sharing: Elements of Statistical Learning: Data Mining, Inference, and Prediction Rookie Camp Sharing: Deep Reinforcement Learning Individual Studies: Chiller Energy Saving Optimization

  Master in IMIS, NCKU



   MBA in Engineering Management, NCKU


  Undergraduate (project in computer science), NCKU