People
"People are like bicycles. They can keep their balance only as long as they keep moving." - Albert Einstein
Director
[1] 李家岩 (Chia-Yen Lee, Ph.D.)
|
Jottings
/ Sketches/ Notes/ Talk Sharing (In Chinese)
Jan. 26, 2024 成長與祝福
Nov. 13, 2023 大學適性教育的原點
Sept. 28, 2023 望與牽掛 (教師節感觸)
Jan. 19, 2023 男女大不同 (轉)
Jan. 02, 2023 在反省與許願之間
Dec. 28, 2022 快樂是可以練習的
Nov. 20, 2022 陳樹勛先生紀念講座
Sept. 28, 2022 望與包容 (教師節感觸)
May 25, 2022 大器綏猷、愛與羈絆
Jan. 21, 2022 內力外王的覺與悟
Oct. 17, 2022 「資」曉天下、「管」樂人生
臺大資管系30週年系慶特刊
Nov. 28, 2021 多目標與斜槓人生
Sept. 28, 2021 愛與信仰 (教師節感觸)
Jan. 22, 2021 更認識自己
Sept. 28, 2020 愛與無限大 (教師節感觸)
Aug. 22, 2020 抓大放小?
Jun. 01, 2020 數據科學小體會
Apr. 05, 2020 標竿學習的意涵
Feb. 08, 2020 「命」大不同
Jan. 31, 2020 企業興衰與管理科學初探
Jan. 05, 2020 教與學
Dec. 02, 2019 <幕僚的宿命>推薦序
在這本書,你可能會看到你公司的影子!
Oct. 29, 2019 生與死的小自省
Sep. 28, 2019 愛與自律 (教師節感觸)
|
Aug. 16, 2019 成功者的邏輯三探
Jun. 01, 2019 所長的話 (與畢業生共勉)
Jun. 01, 2019 窮理致知 (與畢業生共勉)
May 13, 2019 文字的力量
Mar. 06, 2019 過程與結果
Sep. 28, 2018 愛與相信 (教師節感觸)
Sep. 13, 2018 論定位
July. 20, 2018 成功者的邏輯再探
Jun. 02, 2018 拙與誠 (與畢業生共勉)
May 31, 2018 給職場新鮮人的期許與建議
Jan. 19, 2018 成功者的邏輯初探
Sep. 28, 2017 愛與謙卑 (教師節感觸)
Jul. 31, 2017 以學生為鏡
Jul. 07, 2017 讀書 vs. 學歷
Jun. 22, 2017 專家與專業
Jun. 04, 2017 送給畢業生的演奏 "Always With Me"
Sep. 28, 2016 愛與夢想 (教師節感觸)
Sep. 28, 2015 愛與羈絆 (教師節感觸)
Nov. 01, 2013 擰毛巾、搾成本
Jul. 26, 2013 人類,請休息一下。
Jun. 01, 2013 鵬程萬里、力不濟 (與畢業生共勉)
Oct. 14, 2008 欲練神功, 自廢武功!!??
|
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)
[25] 禇家帆 (Chia-Fan Chu) (2024)
|
Linkedin
Rookie Camp Sharing: Genetic Algorithm/ NAGA-II for Scheduling/ Dynamic Flexible Job
Shop Scheduling
Award
榮獲2024中國工業工程年會暨學術研討會 最佳論文獎!
Publication
Hong, Tzu-Yen, Lu, Kuan-Chun (盧冠均), Chu, Chia-Fan (禇家帆), and Lee,
Chia-Yen,
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. (Best Paper Award) (Nov. 2024)
|
[24] 孫敏恩 (Min-En Sun) (2024)
[23] 徐浚凱 (Chun-Kai Jacky Hsu) (2024)
[22] 柯怡成 (Yi-Cheng Ke) (2024)
[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)
[19] 洪睿謙 (Rui-Qian Hong) (2023)
|
Linkedin
Individual Studies: Nonlinear Time-Series Feature Engineering
Rookie Camp Sharing: Deep Reinforcement Learning
Award
榮獲2024中國工業工程年會暨學術研討會 最佳論文獎!
Publication
Hsu, Yun-Chia (許芸嘉), Hong, Rui-Qian (洪睿謙), and Lee, Chia-Yen, 2024.
Robust Ensemble Forecasting and Deep Reinforcement Learning for Energy
Management of Islanded Microgrids (穩健集成預測與深度強化學習於孤島微電網能源管理). Chinese
Institute of
Industrial Engineers Annual Conference (CIIE2024), National Taipei
University of Technology, Taipei, Taiwan. (Best Paper Award) (Nov. 2024)
|
[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)
[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)
[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:
榮獲2024中國工業工程年會暨學術研討會 最佳論文獎!
榮獲台灣作業研究學會2024年碩士論文競賽 優勝!
Master Thesis Award in Operations Research Society of Taiwan (Nov. 2024)
Robust Ensemble Forecasting and Deep Reinforcement Learning for Energy Management of Islanded Microgrids
穩健集成預測與深度強化學習於孤島微電網能源管理
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:
Hsu, Yun-Chia (許芸嘉), Hong, Rui-Qian (洪睿謙), and Lee, Chia-Yen, 2024.
Robust Ensemble Forecasting and Deep Reinforcement Learning for Energy
Management of Islanded Microgrids (穩健集成預測與深度強化學習於孤島微電網能源管理). Chinese
Institute of
Industrial Engineers Annual Conference (CIIE2024), National Taipei
University of Technology, Taipei, Taiwan. (Best Paper Award) (Nov. 2024)
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)
[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2024中國工業工程年會暨學術研討會 最佳論文獎!
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:
Hong, Tzu-Yen, Lu, Kuan-Chun (盧冠均), Chu, Chia-Fan (禇家帆), and Lee,
Chia-Yen,
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. (Best Paper Award) (Nov. 2024)
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:
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.
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)
[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
Publication
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.
|
[2] 陳偉欽 (Wei-Chin Sizemore Chen)
[1] 陳柏勳 (Bo-Syun Chen)
|
Linkedin
Rookie Camp Sharing: Business and Industry Applications
Rookie Camp Sharing: The Elements of Statistical Learning
Individual Studies: Deep Learning and CNN
Publications:
Chen, Bo-Syun and Chia-Yen Lee
(Aug. 2014). MECE Variable Selection: an Example of Semiconductor
Manufacturing (彼此獨立互補遺漏參數篩選方法:以半導體製造為例). 2014 International Symposium on Semiconductor Manufacturing
Intelligence, Taipei, Taiwan.
Publications:
Lee, Chia-Yen and Bo-Syun Chen (陳柏勳), 2017. Mutually-Exclusive-and-Collectively-Exhaustive Feature Selection Scheme. Accepted in Applied Soft Computing.
Patent:
Lee, Chia-Yen and Bo-Syun Chen, 2017. Mutually-Exclusive and
Collectively-Exhaustive (MECE) Feature Selection Method
(互斥與完備集合的特徵選擇方法). Taiwan Patent: I564740.
Award: Best Paper for Modeling & Decisions
2014 International Symposium on Semiconductor Manufacturing Intelligence (ISMI)
2014國際半導體製造智慧模式與決策組最佳論文獎
|
Master in IMIS, NCKU
[33] 呂孟修 (Meng-Xiu Lu)
|
Linkedin
Module Developer: Spatio-Temporal Data Science Model (時空數據科學模型)
Rookie Camp Sharing: Stochastic Programming and Robust Optimization
Rookie Camp Sharing: Spatio-Temporal Anomaly Detection
Rookie Camp Sharing: Deep Learning and Transfer Learning for PHM
Summer Studies: Classification for Wafer Bin Map
Analysis
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
Thesis:
時空異常偵測模型於半導體封裝製程基板帶倉圖
Spatio-Temporal Anomaly Detection for Substrate Strip Bin Map in Semiconductor Assembly Process
Publication:
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.
|
[32] 洪志宇 (Chih-Yu Hung)
|
Linkedin
Writer: Collection of Strategic Mind (佳言語錄集)
Product Developer: Data Quality Assessment (數據品質評估)
Rookie Camp Sharing: Elements of Statistical Learning: Data Mining, Inference, and Prediction
Rookie Camp Sharing: Equipment Health Monitoring, Prognostic and Health Management (PHM), Predictive Maintenance (PdM)
Rookie
Camp Sharing: Advanced Process Control (APC)/ Run-to-Run
(R2R)
Summer Studies: Frequency-Domain Mechanical Diagnosis
Individual Studies: Advanced Ppocess Control (APC) and Run-to-Run (R2R) Control
Research Assistant:
Delta Electronics Inc. (台達電子工業股份有限公司)
Diagnosis of the Mechanism with Multi-layer Architecture (V)
(以分層式架構進行機構之健康診斷(四), 2020)
Delta Electronics Inc. (台達電子工業股份有限公司)
Diagnosis of the Mechanism with Multi-layer Architecture (V)
機台健康診斷(五): 利用模型殘差診斷機械振動與外擾力
Thesis:
半監督式學習架構於變速下滾動軸承線上損壞檢測
Semi-Supervised Learning Framework for Inline Bearing Diagnosis in Varying Speed
Publication:
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.
Hung, Chih-Yu (洪志宇), Lee, Chia-Yen, 2022。半監督式學習架構於變速下滾動軸承線上損壞檢測 Semi-Supervised Learning Framework
for Inline Bearing Diagnosis in Varying Speed,中國機械工程學會第 39
屆全國學術研討會,Chinese Society of Mechnical Engineers(CSME) Conference, Dec. 2-3, 2022, 國立聯合大學, NUU, Miaoli, Taiwan.
Award
Hung, Chih-Yu (洪志宇)
Summa Cum Laude (First Place), Student Thesis Competition of Chinese Society of Mechanical Engineers (CSME) Conference.
榮獲中國機械工程學會全國學術研討會學生論文競賽 第一名!
|
[31] 楊舒惠 (Shu-Huei Yang)
[30] 歐子毓 (Tzu-Yu Ou)
|
Linkedin
Product Developer: Data Quality Assessment (數據品質評估)
Module Developer: Spatio-Temporal Data Science Model (時空數據科學模型)
Internship: Taiwan Semiconductor Manufacturing Company (tsmc, 台灣積體電路股份有限公司)
Internship: Teaching Assistant for AI4Kids
Undergraduate Project: Data Science for Hourse Price Prediction
Rookie Camp Sharing: Generative Adversarial Networks
Rookie Camp Sharing: Process Efficiency Analysis and Deep Learning Applications in Surgery
Rookie Camp Sharing: Image Processing and graph theory
Summer Studies: Process Improvement, Data Science, and Real-Time Monitoring for Operating Room
Individual Studies: Big Data Analytics and Dynamic Objects Detection in Hospital Operating Room
Teaching Assistant: Operations Research Applications and Implementation (作業研究應用與實作)
Thesis:
手術室流程效率分析與手術階段識別
Process Efficiency Analysis and Surgical Workflow Recognition in Operating Room
Publications:
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:
歐子毓、王蒂元
Data science for hourse price prediction
資料科學於房價預測 成大資訊工程系109級大學部畢業專題展示會 佳作
|
[29] 方鈺學 (Yu-Hsueh Fang)
|
Linkedin
Product Developer: Cap-and-Trade (排放權交易) and Carbon Pricing (碳定價)
Internship: Teaching Assistant for AI4Kids
Rookie Camp Sharing: Global Optimization/ Piecewise Linearization/ Binary Variable Reduction
Undergraduate Project: Marginal Abatement Costs in Data Envelopment Analysis
Rookie Camp Sharing: Deep Reinforcement Learning
Summer Studies: Piecewise Linearization with Logarithmic Binary Variable Reduction
Individual Studies: pyStoNED Package Development
Individual Studies: Piecewise Linearization for Assortment and Bin-Packing Problems
Teaching Assistant: Operations Research Applications and Implementation (作業研究應用與實作)
Sheng Dai, Yu-Hsueh Fang, Chia-Yen Lee, and Timo Kuosmanen (2021).
pyStoNED: Python package for Stochastic Nonparametric Envelopment of Data (StoNED).
pyStoNED Homepage: https://github.com/ds2010/pyStoNED
Documentment: https://pystoned.readthedocs.io/en/latest/
Thesis:
最小化最大誤差分段線性化於高維度背包問題
Flattened Minimax Error Piecewise Linearization on Multidimensional Assortment Problem
Award:
Honorable Mention of Master Thesis Award in Operations Research Society of Taiwan (Dec.2022)
榮獲台灣作業研究學會2022年碩博士論文競賽 佳作!
Flattened Minimax Error Piecewise Linearization on Multidimensional Assortment Problem
最小化最大誤差分段線性化於高維度背包問題
Best Paper Award, Operations Research Society of
Taiwan (ORSTW) Conference & Annual
Meeting (Dec.. 2021)
榮獲2021第十七屆台灣作業研究學會年會暨國際研討會及第19屆管理學術研討會-OR作業研究領域 優良論文!
pyStoNED: A Python Package for Convex Regression and Frontier Estimation
方鈺學、歐子毓、何杰穎、林峰吉、鄧羽雯
Topic: Decision Support System for Marginal Abatement Costs of the Coal-fired Power Plants. 燃煤電廠邊際減排成本決策支援系統
Award: 1st place, University Project Competition of 2020 Operations Research Society of Taiwan (June 2020)
2020台灣作業研究學會大專校院專題競賽 資訊系統組 第一名
|
[28] 吳宗諭 (Tsung-Yu Wu)
|
Linkedin
Product Developer: Raw Material Price Forecast and Procurement Optimization (原料價格預測與採購最佳化)
Github: Cost Sensitive Method for Data Science
Rookie Camp Sharing: Deep Reinforcement Learning and Conditional Value-at-Risk
Summer Studies: Genetic Algorithm for Job Shop Scheduling and NSGAII
Summer Studies: RNN, LSTM, and Time Series Forecast Techniques
Individual Studies: Deep Reinforcement Learning for Material Procurement Optimization
Teaching Assistant: Intelligent Manufacturing Systems (智能製造系統)
Certificate: 2019 Intelligent Production Scheduling System Workshop (智慧生產排程系統研習會)
Research Assistant: Formosa Technologies Corporation (台塑網科技股份有限公司)
Artificial Intelligence Models for Oil Prices Forecast with Macroeconomic Variables
總體經濟因子預測原油價格AI模型, 2020
Thesis:
資料科學與條件風險價值強化學習於原油價格預測與採購決策
Data Science and Conditional Value-at-Risk
Reinforcement Learning for Crude Oil Price Forecasting and Procurement
Optimization
|
[27] 陳彥彣 (Yen-Wen Chen)
|
Linkedin
Rookie Camp Sharing: Effecveness, Efficiency, Malmquist Productivity Index, and DQN in DEA
Summer Studies: Deep Reinforcement Learning
Summer Studies: Productivity and Efficiency Analysis/ Data Envelopment Analysis
Individual Studies: Deep Reinforcement Learning for Data Envelopment Analysis
Teaching Assistant: Operations Research
(作業研究)
Certificate: 2019 Intelligent Production Scheduling System Workshop (智慧生產排程系統研習會)
Research Assistant: Formosa Technologies Corporation (台塑網科技股份有限公司)
Artificial Intelligence Models for Oil Prices Forecast with Macroeconomic Variables
總體經濟因子預測原油價格AI模型, 2020
Thesis:
資料包絡分析與條件風險價值強化學習於最佳化產能與生產力決策
Data Envelopment Analysis and Reinforcement Learning
with Conditional Value-at-Risk for Productivity Optimization
Publication:
Lee, Chia-Yen, and Chen, Yen-Wen, 2023. Reinforcement learning with data envelopment analysis and conditional value-at-risk for the capacity expansion problem. IEEE Transactions on Engineering Management. (MOST111-2628-E-002-019-MY3)
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:
Best Paper Award, Chinese Institute of Industrial Engineers (CIIE) Conference & Annual
Meeting (Nov. 2021)
榮獲2021中國工業工程年會暨學術研討會 最佳論文獎!
Data Envelopment Analysis and
Quantile Regression Deep Q-Network for Productivity Trajectory
Optimization.
|
[26] 鄧羽雯 (Yu-Wen Teng)
|
Linkedin
Rookie Camp Sharing: Preventive Maintenance Scheduling
Summer Studies: Scheduling: Theory, Algorithms, and Systems
Summer Studies: Genetic Algorithm for Job Shop Scheduling and NSGAII
Individual Studies: Deep Reinforcement Learning for Preventive Maintenance in Petrochemical Industry
Teaching Assistant: Operations Research
(作業研究)
Certificate: 2019 Intelligent Production Scheduling System Workshop (智慧生產排程系統研習會)
Research Assistant: LCY Chemical Corp. (李長榮化學工業股份有限公司)
Multi-Objective MFI-Production Scheduling Algorithm for Petrochemical Processes
化工熔融指數生產排程多目標演算法, 2020
Thesis:
預防維修保養於石化工業熔融指數生產排程
Preventive Maintenance for Petrochemical MFI-Production Scheduling
Publication
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)
|
[25] 洪翊庭 (I-Ting Hung)
|
Linkedin
Github: SHAP
Rookie Camp Sharing: Signal Analysis and Equipment Health Diagnosis
Summer Studies: Elements of Statistical Learning: Data Mining, Inference, and Prediction
Summer Studies: Signal Analysis and Equipment Health Diagnosis
Teaching Assistant: Intelligent Manufacturing Systems (智能製造系統)
Certificate: 2019 Intelligent Production Scheduling System Workshop (智慧生產排程系統研習會)
Research Assistant: Delta Electronics Inc. (台達電子工業股份有限公司)
Diagnosis of the Mechanism with Multi-layer Architecture (IV)
(以分層式架構進行機構之健康診斷(四), 2020)
Diagnosis of the Mechanism with Multi-layer Architecture (III)
(以分層式架構進行機構之健康診斷(三), 2019)
Thesis:
皮帶傳動系統之線上健康評估與預測保養
On-line Health Assessment and Predictive Maintenancefor Belt Drive System
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)
|
[24] 沈柏丞 (Po-Cheng Shen)
[23] 詹京哲 (Jing-Jhe, Chan)
|
Linkedin
Rookie Camp Sharing: Prognostic and Health Management (PHM) and Bayesian Optimization
Summer Studies: Computer Age Statistical Inference: Algorithms, Evidence and Data Science
Teaching Assistant: Data Mining
(資料探勘)
Research Assistant: ASE Group (日月光半導體製造股份有限公司)
Intelligent Classification Algorithm for Failure Diagnosis in Semiconductor Equipment
半導體設備參數失效原因智能化分類, 2019
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
Publications:
Chan, Jing-Jhe (詹京哲), and Chia-Yen Lee,
2019. Data Science Technique for Failure Diagnostic and Prognostic in
Semiconductor Equipment (資料科學技術於半導體設備之故障診斷). The 2019 Annual Meeting of
the Operations
Research Society of Taiwan, Nov. 8, 2019, Central Police University,
Taiwan.
Thesis
多感測器製程監控與參數最佳化
Process Monitoring with Multiple Sensor and Parameter Optimization
|
[22] 何杰穎 (Chieh-Ying Ho)
|
Linkedin
Internship: Taiwan Semiconductor Manufacturing Company (tsmc, 台灣積體電路股份有限公司)
Summer Studies: Deep Reinforcement Learning
Summer Studies: Multi-objective Reinforcement Learning for Scheduling
Teaching Assistant: Operations Research
(作業研究)
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: 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
Thesis:
Multi-objective Genetic Algorithm and Reinforcement Learning for Petrochemical MFI-Production Scheduling
多目標基因演算法與強化學習於石化工業熔融指數生產排程
Publications:
Ho, Chieh-Ying (何杰穎), and Chia-Yen Lee,
2019. Machine Learning for Production Scheduling in Petrochemistry
Industry (以機器學習於石化工業生產排程之研究). The 2019 Annual Meeting of the Operations
Research Society of Taiwan, Nov. 8, 2019, Central Police University,
Taiwan.
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)
Award:
Master Thesis Award at Operations Research Session in Chinese Institute of Industrial Engineers (CIIE) (June 2019)
榮獲中國工業工程學會碩士論文獎 [作業研究組] 優勝!
Multi-objective Genetic Algorithm and Reinforcement Learning for Petrochemical MFI-Production Scheduling
多目標基因演算法與強化學習於石化工業熔融指數生產排程
|
[21] 林峰吉 (Feng-Chi Lin)
|
Linkedin
Summer Studies: Forward and Backward Scheduling Integration
Summer Studies: Generative Adversarial Networks
Summer Studies: Scheduling Heuristic and Outsourcing Modelling
Teaching Assistant: Operations Research
(作業研究)
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: 工業技術研究院/ 豐螺絲股份有限公司
Back-end Process Semi-Automatic Prodcution Scheduling System
後製程半自動化生產排程系統, 2019
Thesis:
Heuristic Algorithm of Production Scheduling with Outsourcing Uncertainty in Fastener Manufacturer
建構外包不確定性下啟發式演算法於扣件業生產排程
Publications:
Lin, Feng-Chi (林峰吉), Chin-Yi Tseng, Chia-Yen Lee, 2019. Heuristic Algorithms for Production Scheduling of Fastener Manufacturer (啟發式演算法於五金扣件製造商之生產排程). 2019 Chinese
Institute of Industrial Engineers (CIIE) Conference & Annual
Meeting, Nov. 23, 2019, National Taipei University of Technology, Taipei, Taiwan.
|
[20] 盧宣文 (Hsuan-Wen Lu)
|
Linkedin
Summer Studies: Remaining Useful Life Prediction of Sensor Signals
Summer Studies: Elements of Statistical Learning: Data Mining, Inference, and Prediction
Summer Studies: Predictive Maintenance (PdM) and its Methodologies
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)
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: 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
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.
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
|
[19] 鄭宇翔 (Yu-Hsiang Cheng)
|
Linkedin
Summer Studies: Bayesian MARS (multivariate adaptive regression spline)
Summer Studies: Signal Analysis and Equipment Health Diagnosis
Summer Studies: Nonparametric Regression and Classification
Teaching Assistant: Data Mining
(資料探勘)
Teaching Assistant: Intelligent Manufacturing Systems (智能製造系統)
Research Assistant: Delta Electronics Inc. (台達電子工業股份有限公司)
Multi-tier Hierarthical Framework for Machine Health Diagnosis
以分層式架構進行機構之健康診斷, 2018
Research Assistant: Delta Electronics Inc. (台達電子工業股份有限公司)
Diagnosis of the Mechanism with Multi-layer Architecture (III)
以分層式架構進行機構之健康診斷(三), 2019
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
Thesis:
Data Science for Friction Estimation and Compensation on Equipment Health Management of CNC Machine
資料科學於CNC機台健康管理之摩擦力估測與補償
Publications:
Cheng, Yu-Hsiang (鄭宇翔), Chia-Yen Lee, and Chia-Ming Wu, 2019. Data Science
for Friction Estimation and Compensation on CNC Machine (資料科學於CNC機台摩擦力估測與補償). 2019 Chinese
Institute of Industrial Engineers (CIIE) Conference & Annual
Meeting, Nov. 23, 2019, National Taipei University of Technology, Taipei, Taiwan.
Cheng, Yu-Hsiang, Lee, Chia-Yen*,
Tsai, Ching-Hsiung, and Wu, Jia-Ming, 2024. Two-phase data science
framework for compensation of the friction force in CNC machines. International Journal of Computer Integrated Manufacturing.
Patent:
Lee, Chia-Yen, Cheng, Yu-Hsiang
(鄭宇翔), Chen, Chia-Hui (陳家慧), and Tsai, Ping-Chun (蔡秉均), 2021. Method
for predicting and compensating frictions of feed system
(進給系統的摩擦力預測與補償方法). Taiwan Patent: I731699.
Award:
Master Thesis Award at Production 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 [生產系統組] 優勝!
Data Science for Friction Estimation and Compensation on Equipment Health Management of CNC Machine
資料科學於CNC機台健康管理之摩擦力估測與補償
Honorable Mention of 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 佳作
|
[18] 吳昭賢 (Chao-Shian James Wu)
|
Linkedin
缺陷鋼板分類資料分析(Data Analysis in Faulty Steel Plates Classification)
Summer Studies: Data Science for Human Resources Analytics
Summer Studies: RNN, LSTM, and Sensor Prediction
Teaching
Assistant: Statistical Methods (統計方法)
R Language Lectures for Statistical Method- Theory and Practice
統計方法R語言教學- 理論與實務
Teaching Assistant: Data Mining (資料探勘)
Teaching Assistant: Optimization Theory
and Statistical Data Science (最佳化理論與統計數據科學)
Teaching Assistant: Mind of Strategist
(企業參謀:思考的技術)
Research Assistant: ASE Group (日月光半導體製造股份有限公司)
Intelligent Classification Algorithm for Failure Diagnosis in Semiconductor Equipment
半導體設備參數失效原因智能化分類
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
Thesis:
On-line Data Science Technique for Failure Diagnostic and Prognostic in Semiconductor Equipment
線上資料科學技術於半導體設備之故障診斷與預警
Publications:
Award: Master Thesis Award at Information System Session in Chinese Institute of Industrial Engineers (CIIE) (June 2019)
榮獲中國工業工程學會碩士論文獎 [資訊系統組] 優勝!
Award: Honorable Mention, 2017 Big Data Analytics Competition for Creative Insurance
國泰大數據保險創意挑戰賽佳作
|
[17] 吳承璊 (Cheng-Man Wu)
|
Linkedin
Summer Studies: Python and Gurobi for Scheduling Optimization
Summer Studies: Scheduling Algorithm Design and Analysis
Teaching Assistant: Operations Research
(作業研究)
Python+Gurobi Language Lectures for Linear Programming- Theory and Practice
作業研究Python+Gurobi語言教學- 理論與實務
Teaching Assistant: Operations Research Applications and Implementation
(作業研究應用與實作)
Teaching Assistant: Optimization Theory
and Statistical Data Science (最佳化理論與統計數據科學)
Teaching Assistant: Artificial Intelligence for Scheduling/ Python排程AI演算法教學
2018 Intelligent Production Scheduling System Workshop (智慧生產排程系統研習會)
Research Assistant: Winbond (華邦電子股份有限公司)
Scheduling Algorithm for Semiconductor Lithography Equipment
Immersion半導體黃光機台生產排程系統演算法, 2018
Research Assistant: 工業技術研究院/ 豐螺絲股份有限公司
Semi-Automatic Multi-Objective Prodcution Scheduling System
半自動化多目標生產排程系統, 2017
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
Thesis:
An Empirical Study of Two-Phase Multi-Objective
Genetic Algorithm for Lithography Scheduling in Semiconductor DRAM Fab
兩階段多目標基因演算法於半導體DRAM黃光排程之實證研究
Publications:
Wu, Cheng-Man (吳承璊), & Chia-Yen Lee, 2019. Adaptive Genetic Algorithm for
Lithography Scheduling in Semiconductor DRAM Fab. 2019 IEEE 15th
International Conference on Automation Science and Engineering (CASE),
22-26 August, Vancouver, BC, Canada.
Tseng, Chin-Yi (曾蓁宜), Cheng-Man Wu (吳承璊), Chia-Yen Lee,
Shun-Chieh Lin, Yi-Lin Chiang, & Chih-Yu Chen, 2018. Efficient
Heuristic Algorithm of Forward-and-backward Production Scheduling For
Fastener Manufacturer. 2018 INFORMS International Conference, June 17-20, Taipei, Taiwan.
Award: Master Thesis Award at Operations Research Session in Chinese Institute of Industrial Engineers (CIIE) (June 2019)
榮獲中國工業工程學會碩士論文獎 [作業研究組] 優勝!
Award: Honorable Mention, 2017 Big Data Analytics Competition for Creative Insurance
國泰大數據保險創意挑戰賽佳作
Honor: International Conference funded by EECS College, NCKU
高校深耕計畫-108年度電資院補助出國學生獎助金
Grant: International Conference funded by Ministry of Science and Technology, Taiwan (MOST)
科技部補助國內研究生出席國際學術會議
|
[16] 洪佑鑫 (Yu-Hsin Jeff Hung)
|
Linkedin
半導體製造資料分析(Data Analysis in Semiconductor Manufacturing)
Summer Studies: Deep Reinforcement Learning
Summer Studies: Automatic Control, PSO, and Bayesian Optimization
Teaching Assistant: Statistical Method (統計方法)
Teaching Assistant: Data Mining (資料探勘)
R Language Lectures for Data Science in Manufacturing
R語言教學- 製造資料科學
Teaching Assistant: Optimization Theory
and Statistical Data Science (最佳化理論與統計數據科學)
Teaching Assistant: Mind of Strategist
(企業參謀:思考的技術)
Research Assistant: Delta Electronics Inc. (台達電子工業股份有限公司)
以分層式架構進行滾珠螺桿之健康診斷, 2017
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
Publications:
Hung, Yu-Hsin, Chia-Yen Lee,
Ching-Hsiung Tsai, Yen-Ming Lu, 2020. Parameter Estimation and Process
Control for Health Management in Mechanical System. 2020 IEEE 16th
International Conference on Automation Science and Engineering (CASE),
Virtual Conference, 20-21 August 2020.
Hung, Yu-Hsin,
Lee, Chia-Yen, Tsai, Ching-Hsiung, and Lu, Yen-Ming, 2021. Constrained
particle swarm optimization for health maintenance in three-mass
resonant servo control system with LuGre friction model. Accepted in
Annals of Operations Research
Thesis:
Constrained Particle Swarm Optimization for Parameter Estimation and
Health Maintenance in Three-Mass Resonant Servo Control System with
Friction
限制式粒子群最佳化於三質點饒性伺服控制系統與摩擦力之參數估計與健康保養
Publications:
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.
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.
Award: Master Thesis Award at Production System Session in Chinese Institute of Industrial Engineers (CIIE) (June 2019)
榮獲中國工業工程學會碩士論文獎 [生產系統組] 優勝!
Award: Honorable Mention, 2017 Big Data Analytics Competition for Creative Insurance
國泰大數據保險創意挑戰賽佳作
Award: Honorable Mention, 2016 Big Data Analytics Competition for Semiconductor Manufacturing.
2016半導體大數據分析競賽佳作
Award: 斐陶斐榮譽學會會員 (The Phi Tau Phi Scholastic Honor Society) (2019)
|
[15] 張博凱 (Po-Kai John Chang)
|
Linkedin
Summer
Studies: Hadoop and Spark for Big Data
Teaching Assistant: Data Mining (資料探勘)
Teaching Assistant: Intelligent Manufacturing Systems (智慧型製造系統)
Teaching
Assistant: Introduction to Manufacturing Information and Systems
(製造資訊與系統概論)
Research
Assistant: ASE Group
(日月光半導體製造股份有限公司)
Wire Bond Equipment Health Monitoring and Predictive Maintenance Analysis
打線機台健康監控與預測保養分析模組建立
Research
Assistant: Tongtai Machine & Tool Co. (東台精機股份有限公司)
Data Science and Statistical Process Control for Automatic Quality Control System of Machine Tool.
資料科學與統計製程管制建立工具機自動化線上品管系統, 2017
Thesis
An Empirical Study of Statistical Process Control
and Data Science for Yield Enhancement in Machine Tool Industry
應用統計製程管制與資料科學於工具機產業良率提升之實證研究
Publications:
Jang, Bo-Kai (張博凱), & Chia-Yen Lee,
2018. , Quality System Implementation of Machine Tool using Data Mining
and Statistical Quality Control Methods. 2018 INFORMS International Conference, June 17-20, Taipei, Taiwan.
Zhao-Hong Dong (董昭宏), Bo-Kai Jang (張博凱), and Chia-Yen Lee,
2017. Equipment Health Monitoring in the Semiconductor Assembly
Process. The 27th International Conference on Flexible Automation and
Intelligent Manufacturing (FAIM2017), Jun. 27-30, Modena, Italy.
Grant: International Conference funded by Ministry of Science and Technology, Taiwan (MOST)
科技部補助國內研究生出席國際學術會議
Award: Magna Cum Laude (third prize), 2017 Big Data Analytics Competition for Creative Insurance
國泰大數據保險創意挑戰賽銅牌
Award: Honorable Mention, 2016 Big Data Analytics Competition for Semiconductor Manufacturing.
2016半導體大數據分析競賽佳作
Award: Master Thesis Award Honorable Mention at Production System Session in Chinese Institute of Industrial Engineers (CIIE)
榮獲2018全國工業工程與管理碩士論文競賽 生產系統組 佳作
|
[14] 周百建 (Bai-Jian Allan Chou)
|
Linkedin
Product Developer: Raw Material Price Forecast and Procurement Optimization (原料價格預測與採購最佳化)
Summer Studies: Foundations of Machine Learning
Teaching Assistant: Data Mining (資料探勘)
Teaching
Assistant: Statistical Methods (統計方法)
Teaching
Assistant: Introduction to Manufacturing Information and Systems
(製造資訊與系統概論)
Special Skill: POLab Logo Designer (Logo1) (Logo2)
Lab Research Assistant: Deep Learning for Multi-Category Genome-Wide Association Studies
深度學習技術於多類別全基因組關聯研究
Research
Assistant: LCY Chemical Corp. (李長榮化學工業股份有限公司)
Manufacturing Data Science for Price Forecasting of Petrochemical Raw Material and Purchasing Decision
(製造數據科學於石化原料價格預測與採購決策, 2017)
Thesis:
Data Science and Reinforcement Learning for Price Prediction and Procurement Decision
of Petrochemical Raw Material
資料科學與強化學習於石化原物料之價格預測與採購決策
Publications:
Bai-Jian Chou (周百建), & Chia-Yen Lee, 2018. Data Mining For Price Forecasting of Petrochemical Raw Material. 2018 INFORMS International Conference, June 17-20, Taipei, Taiwan.
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.
Patent:
Lee, Chia-Yen, Chou, Bai-Jian
(周百建), Liow, Cayon Keei Yann, and Hong De-Yang, 2022. Material
Procurement Method, Electric Device, and Computer Program Product
(原料採購決策方法、電子裝置與電腦程式產品). Taiwan Patent: I757828.
Grant: International Conference funded by Ministry of Science and Technology, Taiwan (MOST)
科技部補助國內研究生出席國際學術會議
Award: Magna Cum Laude (third prize), 2017 Big Data Analytics Competition for Creative Insurance
國泰大數據保險創意挑戰賽銅牌
Award: Honorable Mention, 2016 Big Data Analytics Competition for Semiconductor Manufacturing.
2016半導體大數據分析競賽佳作
Award: Master Thesis Award at Information System Session in Chinese Institute of Industrial Engineers (CIIE)
榮獲2018全國工業工程與管理碩士論文競賽 資訊系統組 優勝
|
[13] 曾蓁宜 (Chin-Yi Tseng)
|
Linkedin
Internship: Applied Materials Taiwan (台灣應用材料股份有限公司)
Supply Chain Specialist (供應鏈工程師)
Summer Studies: Complementarity Modeling in Energy Markets
Teaching
Assistant: Intelligent Manufacturing Systems
(智慧型製造系統)
Teaching
Assistant: Introduction to Manufacturing Information and Systems
(製造資訊與系統概論)
Voluntary Worker, 2018 INFORMS International Conference
Research Assistant: 龍鼎生命科學股份有限公司
Production Process Analysis and Supply-Demand Balance Optimization for
the Moth Orchid Plant
Factory
蝴蝶蘭植物工廠生產流程分析與產銷平衡最佳化
Research Assistant: 工業技術研究院/ 豐螺絲股份有限公司
Semi-Automatic Multi-Objective Prodcution Scheduling System
半自動化多目標生產排程系統
Lab Research Assistant: Data Envelopment Analysis for Nash Equilibrium in Multi-Level Electricity Market
數據包絡分析法求解納許均衡於多階層電力市場
Thesis:
Data Envelopment Analysis and Stochastic Mixed Complementarity Problem for
Solving Nash Equilibrium in Two-level Coal--fired Electricity Market
以資料包絡分析法與隨機混和互補問題求解納許均衡於雙階燃煤電力市場
Publications:
Tseng, Chin-Yi (曾蓁宜), Cheng-Man Wu (吳承璊), Chia-Yen Lee,
Shun-Chieh Lin, Yi-Lin Chiang, & Chih-Yu Chen, 2018. Efficient
Heuristic Algorithm of Forward-and-backward Production Scheduling For
Fastener Manufacturer. 2018 INFORMS International Conference, June 17-20, Taipei, Taiwan.
Chin-Yi Tseng (曾蓁宜), Chia-Yen Lee,
2017. Data Envelopment Analysis for Nash Equilibrium in Two-Level
Electricity Market. The 2017 The 2017 Annual Meeting of the Taiwan
Efficiency and Productivity Association, Nov. 25, 2017, National Taiwan
University, Taiwan.
Jia-Ying Cai (蔡佳盈), Chin-Yi Tseng (曾蓁宜), and Ting-Syun Huang
(黃亭勳), 2017. Work Study and Simulation Optimization of Supply-Demand
Balancing in the Moth Orchid Plant Factory. The 27th International
Conference on Flexible Automation and Intelligent Manufacturing
(FAIM2017), Jun. 27-30, Modena, Italy.
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.
Award: Magna Cum Laude (third prize), 2017 Big Data Analytics Competition for Creative Insurance
國泰大數據保險創意挑戰賽銅牌
Award: Honorable Mention, 2016 Big Data Analytics Competition for Semiconductor Manufacturing.
2016半導體大數據分析競賽佳作
Award: Master Thesis Award at Operation Research Session in Chinese Institute of Industrial Engineers (CIIE)
榮獲2018全國工業工程與管理碩士論文競賽 作業研究組 優勝
|
[12] 黃亭勳 (Ting-Syun Tommy Huang)
|
Linkedin
Teaching Assistant: Operations Research (作業研究)
Voluntary Worker, 2018 INFORMS International Conference
On-Site Research Assistant: 龍鼎生命科學股份有限公司
Production Process Analysis and Supply-Demand Balance Optimization for
the Moth Orchid Plant
Factory
蝴蝶蘭植物工廠生產流程分析與產銷平衡最佳化 (電力契約容量分析)
Research
Assistant: Aliya Corp. (愛利雅科技股份有限公司)
Bandwidth Signal Analysis and Remaining Useful Life Prediction of Motor Vibration
感應馬達設備振動訊號與壽命預測數據分析
Thesis:
Data Science for Remaining Useful Life Prediction and Predictive Maintenance of Electric Motor
資料科學於電動馬達剩餘壽命預測與預測保養
Publications:
Huang, Ting-Syun (黃亭勳), Chia-Yen Lee,
Meng-Kun Liu, & Chen-Yang Lan, 2018. Data Mining For Time-series
Bandwidth Signal Analysis of Electric Motor. 2018 INFORMS International Conference, June 17-20, Taipei, Taiwan.
Jia-Ying Cai (蔡佳盈), Chin-Yi Tseng (曾蓁宜), and Ting-Syun Huang
(黃亭勳), 2017. Work Study and Simulation Optimization of Supply-Demand
Balancing in the Moth Orchid Plant Factory. The 27th International
Conference on Flexible Automation and Intelligent Manufacturing
(FAIM2017), Jun. 27-30, Modena, Italy.
Award: Magna Cum Laude (third prize), 2017 Big Data Analytics Competition for Creative Insurance
國泰大數據保險創意挑戰賽銅牌
Award: Honorable Mention, 2016 Big Data Analytics Competition for Semiconductor Manufacturing.
2016半導體大數據分析競賽佳作
|
[11] 董昭宏 (Zao-Hung Henry Dong)
|
Linkedin
Summer Studies: Complementarity Modeling in Energy Markets
Teaching Assistant: Operations Research (作業研究)
Teaching Assistant: Intelligent Manufacturing Systems (智慧型製造系統)
Lab Research Assistant: Advanced Studies in Statistical Process Control (統計製程管制之進階研究)
Research
Assistant: ASE Group
(日月光半導體製造股份有限公司)
Wire Bond Equipment Health Monitoring and Predictive Maintenance Analysis
打線機台健康監控與預測保養分析模組建立
Thesis:
Equipment Health Index for Fault Detection and Classification: An Empirical Study of Semiconductor Assembly Fabrication
機台健康指標於異常偵測與診斷:以半導體封裝廠為實證
Publications:
Zhao-Hong Dong (董昭宏), Bo-Kai Jang (張博凱), and Chia-Yen Lee,
2017. Equipment Health Monitoring in the Semiconductor Assembly
Process. The 27th International Conference on Flexible Automation and
Intelligent Manufacturing (FAIM2017), Jun. 27-30, Modena, Italy.
Award: Magna Cum Laude (second prize), 2016 Big Data Analytics Competition for Semiconductor Manufacturing.
2016半導體大數據分析競賽第二名
Award: Master Thesis Award Honorable Mention at Production System Session in Chinese Institute of Industrial Engineers (CIIE)
榮獲2017全國工業工程與管理碩士論文競賽 生產系統組 佳作
|
[10] 蔡佳盈 (Jia-Ying Helen Cai)
|
Linkedin
Teaching Assistant: Productivity and Efficiency Analysis (生產力與效率分析)
On-Site Research Assistant: 龍鼎生命科學股份有限公司
Production Process Analysis and Supply-Demand Balance Optimization for the Moth Orchid Plant Factory
蝴蝶蘭植物工廠生產流程分析與產銷平衡最佳化
Lab Reserach Assistant: Advanced Research on Data Envelopment Analysis 數據包絡分析法之前瞻研究
Thesis:
LASSO Variable Selection in Data Envelopment Analysis and Convex Nonparametric Least Squares
套索迴歸變數挑選於資料包絡分析法及凸性無母數最小平方法
Publications:
Jia-Ying Cai (蔡佳盈), Chin-Yi Tseng (曾蓁宜), and Ting-Syun Huang
(黃亭勳), 2017. Work Study and Simulation Optimization of Supply-Demand
Balancing in the Moth Orchid Plant Factory. The 27th International
Conference on Flexible Automation and Intelligent Manufacturing
(FAIM2017), Jun. 27-30, Modena, Italy.
Cai, Jia-Ying (蔡佳盈), and Chia-Yen Lee,
2016. LASSO Variable Selection Techniques in Data Envelopment Analysis (LASSO變數選取技術於數據包絡分析法).
The 17th Asia Pacific Industrial Engineering and Management Systems
Conference (APIEMS2016), Dec. 7-10, 2016, Taipei, Taiwan.
Grant: International Conference funded by Ministry of Science and Technology, Taiwan (MOST)
科技部補助國內研究生出席國際學術會議
Grant: International Conference funded by National Cheng Kung University (NCKU)
國立成功大學研究生出席國際學術會議
Award: Best Student Paper Award, the 27th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2017) .(June 2017)
榮獲2017彈性自動化與智慧製造國際研討會最佳學生論文獎
Award: Best Student Paper Award, The 17th Asia Pacific Industrial Engineering and Management Systems Conference (APIEMS) .(Dec. 2016)
榮獲2016亞太工業工程與管理系統國際研討會最佳學生論文獎
Award: Magna Cum Laude (second prize), 2016 Big Data Analytics Competition for Semiconductor Manufacturing.
2016半導體大數據分析競賽第二名
|
[9] 洪紹嚴 (Shao-Yen Hung)
|
Linkedin
R系列筆記 Google Search Rank #1
Teaching Assistant: Data Mining (資料探勘)
R Language Lectures for Data Mining- Theory and Practice
資料探勘R語言教學- 理論與實務
Teaching Assistant: Mind of Strategist (企業參謀:思考的技術)
On-Site Research Assistant: ASE Group (日月光半導體製造股份有限公司)
SPC Big Data: Data Mining for Delamination Diagnosis
in the Semiconductor Assembly
Process.
統計製程管制大數據:以資料探勘改善半導體封裝製程良率於脫層現象分析
Lab Reserach Assistant: Text Mining for Deep Critical Thinking 文字探勘與深度思考推論
Thesis:
Data Science for Delamination Diagnosis in the Semiconductor Assembly Process
資料科學於半導體封裝製程之脫層分析
Publications:
Shao-Yen Hung (洪紹嚴), Yung-Lun Lin (林永倫), and Chia-Yen Lee,
2017. Data Mining for Delamination Diagnosis in the Semiconductor
Assembly Process. The 27th International Conference on Flexible
Automation and Intelligent Manufacturing (FAIM2017), Jun. 27-30, Modena, Italy.
Grant: International Conference funded by National Cheng Kung University (NCKU)
國立成功大學研究生出席國際學術會議
Award: Magna Cum Laude (second prize), 2016 Big Data Analytics Competition for Semiconductor Manufacturing.
2016半導體大數據分析競賽第二名
Award: Master Thesis Award at Production System Session in Chinese Institute of Industrial Engineers (CIIE)
榮獲2018全國工業工程與管理碩士論文競賽 生產系統組 優勝
|
[8] 蔡宗倫 (Tsung-Lun Lun Tsai)
|
Linkedin
Article: Jul. 21, 2017 We are the world: Environment, Energy, and Sustainability
Internship: Taiwan Semiconductor Manufacturing Company (tsmc, 台灣積體電路股份有限公司)
Teaching Assistant: Statistical Methods (統計方法)
R Language Lectures for Statistical Method- Theory and Practice
統計方法R語言教學- 理論與實務
Teaching Assistant: Mind of Strategist (企業參謀:思考的技術)
On-Site Research Assistant: Etu (知意圖股份有限公司)/ Innolux (群創光電股份有限公司)
Intelligent
Production Automation: Data Mining for Yield Improvement of Color
Filter in TFT-LCD Manufacturing.
生產智慧自動化平台先導計畫- 以資料探勘技術改善TFT-LCD彩色濾光片製程之良率
On-Site Research Assistant: 成大醫院外科加護病房 (NCKU Hospitals Surgical Intensive Care Unit)
Data Science for Key Success Factors and Prediction Models of Extubation in Intensive Care Unit
資料科學於外科加護病房拔管預測模型與關鍵成功因素探討
Thesis:
Data Science and Bayesian Decision in Extubation Prediction of Surgical Intensive Care Unit
外科手術加護病房拔管資料科學預測與貝氏決策
Publication:
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.
Tsung-Lun Tsai (蔡宗倫), and Chia-Yen Lee,
2017. Data Mining for Yield Improvement of Photo Spacer Process in
Color Filter Manufacturing. The 27th International Conference on
Flexible Automation and Intelligent Manufacturing (FAIM2017), Jun.
27-30, Modena, Italy.
蔡宗倫、黃敏信、李家岩、賴吾為,2017。資料科學於外科手術加護病房拔管預測與貝氏決策,中華民國重症醫學會第六屆第四次會員大會暨2017聯合學術年會,Oct. 21, 2017, 中國醫藥大學,台灣。
Grant: International Conference funded by Ministry of Science and Technology, Taiwan (MOST)
科技部補助國內研究生出席國際學術會議
Grant: International Conference funded by National Cheng Kung University (NCKU)
國立成功大學研究生出席國際學術會議
Award: Magna Cum Laude (second prize), 2016 Big Data Analytics Competition for Semiconductor Manufacturing.
2016半導體大數據分析競賽第二名
Award: 斐陶斐榮譽學會會員 (The Phi Tau Phi Scholastic Honor Society) (2017)
|
[7] 林永倫 (Yung-Lun Marcus Lin)
|
Linkedin
Internship: Taiwan Semiconductor Manufacturing Company (tsmc, 台灣積體電路股份有限公司)
Teaching Assistant: Operations Research Applications (作業研究應用與實作)
On-Site Research Assistant: ASE Group (日月光半導體製造股份有限公司)
SPC Big Data: Data Mining for Delamination Diagnosis in the Semiconductor Assembly Process.
統計製程管制大數據:以資料探勘改善半導體封裝製程良率於脫層現象分析
Thesis: Optimal Computing Budget Allocation for Virtual Material Quality Investigation System and Bargaining Strategy
以最佳模擬預算分配法發展虛擬物料品質檢測系統與議價策略
Publications:
Hung, Shao-Yen (洪紹嚴), Chia-Yen Lee, and Yung-Lun Lin (林永倫), 2019. Data Science for Delamination Prognosis and Online Batch Learning in Semiconductor Assembly Process. Accepted in IEEE Transactions on Components, Packaging and Manufacturing Technology.
Shao-Yen Hung (洪紹嚴), Yung-Lun Lin (林永倫), and Chia-Yen Lee,
2017. Data Mining for Delamination Diagnosis in the Semiconductor
Assembly Process. The 27th International Conference on Flexible
Automation and Intelligent Manufacturing (FAIM2017), Jun. 27-30, Modena, Italy.
Lin, Yung-Lun (林永倫) and Chia-Yen Lee,
2015. Optimal Computing Budget Allocation for Virtual Material Quality
Investigation (以最佳模擬預算分配法發展虛擬物料品質檢測系統). 2015 Chinese Institute of
Industrial Engineers (CIIE) Conference & Annual Meeting, Taichung,
Taiwan.
Patent:
Lee, Chia-Yen and Yung-Lun Lin (林永倫), 2018. Virtual Material Quality Investigation System (虛擬物料品質檢測系統). Taiwan Patent: I632470.
Award: Master Thesis Award at Production System Session in Chinese Institute of Industrial Engineers (CIIE)
榮獲2016全國工業工程與管理碩士論文競賽 生產系統組 優勝
|
[6] 曾俊樺 (Jun-Hua Kevin Zeng)
|
Linkedin
Article: Jul. 14, 2016 改變台灣-從自己做起
Teaching Assistant: Data Mining (資料探勘)
On-Site Resarch Assistant: Industrial Technology Research Institute (ITRI, 工業技術研究院)
Hybrid Fault Detection and Classification Technique for Time Series Pattern
複合式在製品缺陷分類技術
Thesis: Data Mining for Genome-Wide Association Studies:
An Empirical Study of Han Chinese Patients with Bipolar Disorder
資料探勘技術於全基因組關聯研究-以漢族雙極症疾患為例
Publicaitons:
Zeng, Jun-Hua (曾俊樺), 林順傑, Chia-Yen Lee,
簡裕峰, 夏啟峻, 蔡煥文 and 葉峻賓. Three-Phase Automatic Fault Detection Technique
for Time-Series Dataset (時間序列資料之三階段自動化錯誤偵測技術). The 2015 Conference on
Technologies and Applications of Artificial Intelligence (TAAI 2015),
Nov. 20-22, 2015, Tainan City, Taiwan.
Zeng, Jun-Hua (曾俊樺), Chia-Yen Lee,
李聖玉, 郭柏秀, 陸汝斌, 2015. Data Mining for Genome-Wide Association Studies:
An Empirical Study of Han-Chinese Patients with Bipolar Disorder
(資料探勘技術於全基因組關聯研究-以漢族雙極症疾患為例). 2015 Chinese Institute of Industrial
Engineers (CIIE, 中國工業工程年會) Conference & Annual Meeting, Taichung, Taiwan.
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
Award: Honorable Mention, 2015 Big Data Analytics for Semiconductor Manufacturing
2015半導體大數據競賽佳作
Award: Master Thesis Award at Biomedical Sciences of Ke-Lin Technology 科林科技論文獎, Lam Research Corporation
國立成功大學105年度科林科技論文獎 (生物醫學獎)
|
[5] 梁家隆 (Chia-Lung Leon Liang)
[4] 孫維君 (Wei-Chun Vicky Sun)
|
Linkedin
Teaching Assistant: Operations Research (作業研究)
On-Site Research Assistant: NCKU Research Center for Energy Technology and Strategy (國立成功大學能源科技與策略研究中心)
Biofuel Regional Economy and Supply Chain Optimization
生質能源之經濟效益分析與供應鏈設計最佳化
Lab Reserach Assistant: Advanced Research on Data Envelopment Analysis 數據包絡分析法之前瞻研究
Thesis: Biodiesel Economic Analysis and Global Supply Chain Stochastic Optimization (Photo) 生質柴油之經濟分析與跨國供應鏈隨機最佳化
Publications:
Sun, Wei-Chun (孫維君) and Chia-Yen Lee,
2015. Biodiesel Economic Evaluation and Biomass Global Supply Chain
Stochastic Optimization (生質柴油經濟效益評估與生物質全球供應鏈隨機最佳化). 2015 Chinese
Institute of Industrial Engineers (CIIE, 中國工業工程年會) Conference & Annual Meeting, Taichung, Taiwan.
Award: Best Paper for 2015 Chinese Institute of Industrial Engineers (CIIE) Conference & Annual Meeting (Dec. 2015) (Photo1, Photo2)
中國工業工程學會104學年度年會暨學術研討會最佳論文獎 |
[3] 吳民友 (Min-You Mio Wu)
|
Linkedin
Article: Nov. 25, 2015 一個不被放棄的魯蛇
Internship: Taiway Industry Co. (台惟工業股份有限公司)
Teaching Assistant: Intelligent Manufacturing Systems (智慧型製造系統)
On-Site Research Assistant: Industrial Technology Research Institute (工業技術研究院)
Implementation of Multi-Objective Job-Shop Scheduling System
(多目標生產排程系統)
On-Site Research Assistant: San Sing Fastech Co. (三星科技股份有限公司)
Equipment Utilization Analysis and Scheduling Decision Support
System for Steel Nut Manufacturer
鋼鐵螺帽製造廠車台稼動率分析與排程決策支援系統
Thesis: Multi-Objective Stochastic Scheduling Optimization: A Study of Auto Parts Manufacturer in Taiwan (Photo)
多目標隨機排程最佳化:以台灣汽車零組件製造商為例
Publications:
Wu, Min-You (吳民友) and Chia-Yen Lee,
2015. Sampling-based NSGA-II for Stochastic Scheduling in Auto Parts
Manufacturer (抽樣多目標遺傳演算法於汽車零組件製造商之隨機排程最佳化). 2015 Chinese Institute of
Industrial Engineers (CIIE, 中國工業工程年會) Conference & Annual Meeting, Taichung, Taiwan.
Award: Master Thesis Award at Operations Research Session in Chinese Institute of Industrial Engineers (CIIE)
榮獲2016全國工業工程與管理碩士論文競賽 作業研究組 優勝
|
[2] 劉韋億 (Wei-Yi Liu) - under the supervision of professor Taho Yang, and Chia-Yen coadvice.
|
Reserach Assistant: Gintech Energy Corporation (昱晶能源科技股份有限公司)
Thesis: The use of simulation and multiple criteria decision-making
methods in solving the solar cell industry layout design problem.
結合模擬與多準則決策分析求解太陽能電池廠導入單元工程佈置問題
Publications:
Liu, Wei-Yi,
Chia-Yen Lee, T. Yang, J.-C. Lu (Sept. 2013). Simulation Model and
Multi-Criteria Decision Making for Layout Design of Cellular
Manufacturing in a Solar Cell Manufacturer. Joint Symposium of
e-Manufacturing & Design Collaboration (eMDC) and International
Symposium on Semiconductor Manufacturing (ISSM), Hsinchu, Taiwan
Award: Master Thesis Award Honorable Mention of Chinese Institute
of Industrial Engineers (CIIE)
榮獲2013工業工程學會碩士論文競賽生產系統組佳作
|
[1] 林書弘 (Shu-Hung Lin)- under the supervision of professor Taho Yang, and Chia-Yen coadvice.
|
Summer Studies: Simulation Optimization & AMHS
Reserach Assistant: Gintech Energy Corporation (昱晶能源科技股份有限公司)
Thesis: Two-phase simulation-optimization given
customer acceptance requirements for vendor selection and order
allocation.
兩階段模擬最佳化探討太陽能電池製造商在特定允收條件下之選商與訂單分配之研究
Publications:
Lin, Shu-Hung,
Chia-Yen Lee, T. Yang, J.-C. Lu (Sept. 2013). Two-Phase Simulation
Optimization for Vendor Selection and Order Allocation in a Solar Cell
Manufacturer. Joint Symposium of e-Manufacturing & Design
Collaboration (eMDC) and International Symposium on Semiconductor
Manufacturing (ISSM), Hsinchu, Taiwan.
Award: Master Thesis Award of Chinese Institute
of Industrial Engineers (CIIE); 獲得2013工業工程學會碩士論文競賽生產系統組優勝
Thesis Award of Supply Chain Mgmt by Chinese Management Association; 獲得2013中華民國管理科學學會供應鏈管理碩士論文獎優勝
Award: 斐陶斐榮譽學會會員 (The Phi Tau Phi Scholastic Honor Society) (2013)
|
MBA in Engineering Management, NCKU
[21] 陳威黎
[20] 鄭淳仁 (Chun-Jen Cheng)
Reinforcement Learning to Develop Badminton Tactical System
以強化學習建構羽球戰術系統
Honorable Mention, Master Thesis Award at 2021 Service Science Society of Taiwan (Oct. 2021)
榮獲2021台灣服務科學學會學術研究獎 [碩士在職專班組] 佳作!
[19] 楊哲彥 (Che-Yen Yang)
Regression Analysis and Design of Experiments on Expanded Ratio for Chemical Foaming Injection
化學發泡射出成型之發泡倍率迴歸分析與實驗設計
[18] 沈柏丞 (Po-Cheng Shen)
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 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!
[17] 謝宗達 (Tsung-Ta Hsieh)
Image Recognition for Product Defect Inspection in the Panel Industry
影像辨識於面板產業之產品缺陷檢查
Honorable Mention of 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] 佳作!
[16] 林宛儒 (Wan-Ju Lin)
Optimization of the Steam and Electricity Operation in the Petrochemical Plants
化工廠汽電操作模式最佳化
[15] 陳靖方 (Chin-Fang Chen)
Demand Forecasting and Capacity Planning of Polyester Filament Yarn in Taiwan
台灣聚酯絲需求預測與產能規劃
[14] 詹晨偉 (Chen-Wei Chan)
Text Mining for Public Concerns-A Case Study of the COVID-19 on PTT Text
運用文字探勘技術分析PTT版上關注議題與面向-以新型冠狀肺炎事件為例
[13] 盧宣文 (Hsuan-Wen Lu)
Kernel-Density Dynamic Ensemble Technique for Predictive Maintenance
發展核密度動態集成技術於預測保養
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!
[12] 黃豊哲 (Li-Che Huang)
Develop Time Series Deep
Learning and Contingency Control Procedures in Air Pollution Prevention
發展時間序列深度學習與應變管制程序於空氣汙染防治研究
[11] 劉信岦
[10] 林暉凱 (Hui-Kai Lin)
Wire Rod Price Forecast for Fastener Industry
扣件業盤元價格預測
[9] 黃輝隆 (Hui-Lung Huang)
Order Forecasting for Inventory Management System
Development— An Empirical Study of Automobile Parts Manufacturing
從訂單預測之觀點建立存貨管理系統- 以汽機車零件製造業為例
[8] 羅凱鳴 (Kai-Ming Luo)
Analytic Network Process for Dispatching of Mobile Debris Flow Monitoring Station.
應用分析網路程序法於行動式土石流觀測站派遣之研究
[7] 黃正宏 (Tim) Product
Promotion Strategy of Plastic Carrier in Semiconductor Manufacturing
(unpublished)
半導體製程塑膠載具產品推廣策略研究與分析 (unpublished)
[6] 周奕任 (Yi-Ren Chou)
Fire Vehicle Dispatching and Deployment Optimization for Building Fire.
建築物火警車輛派遣與配置最佳化
Award: Honorable Mention, Master Thesis Award at 2017 Service Science Society of Taiwan (Oct. 2017)
台灣服務科學學會學術研究獎 碩士在職專班組 佳作
[5] 陳偉欽 (Wei-Chin Sizemore Chen)
Using Mathematical Programming and Meta-heuristic Methods to Optimize
the Design of Die-cuts for Angle-Constrained Product.
利用數學規劃與萬用啟發式演算法最佳化角度限制產品之刀模設計
Award: 2018富邦人壽管理碩士論文獎EMBA組 佳作 (Aug. 2018)
[4] 鄧學賢 (Shueh-Shien Alex Teng)
A Study of Taguchi Method for Robust
Parameters Design Problems in Shot Peening Process of Engine Repair
運用田口方法求解發動機維修珠擊製程參數穩健設計之研究
[3] 陳凱緯 (Kai-Wei Kerry Chen)
Decision Tree and Data Mining Models for Product Upgrade Decision: An
Empirical Study of Uninterruptible Power Supply Company in Taiwan
以決策樹與資料探勘模型改善產品升級決策- 以台灣不斷電系統公司為例
[2] 張和健 (Ho-Chien Chang)
Dynamic Industry Analysis for Grand Alliance in Taiwan TFT-LCD Industry
以動態產業分析研究台灣TFT-LCD面板產業聯盟模式
[1] 江明建 (Ming-Chien Tomas Chiang)
Optimization of Capacity Planning and Production Control Process in TFT-LCD Industry
優化TFT-LCD 面板產業產能規劃與生產管制作業流程
Undergraduate (project in computer science), NCKU
[14] 李愷崴、蔡有爵
Face recognition and monitoring system
人臉辨識監控系統
[13] 蕭少柏
Machine Learning for Home Appliance Sales Forecasting
利用機器學習實作家用商品銷售量預測
[12] 黃聖宇
Particle Swarm Optimization in 2-D Knapsack problem for Design of Die-cuts
粒子群最佳化於二維度背包問題之刀模設計
[11] 朱浩澤、許芸禎
Genetic algorithm and particle swarm optimization on production scheduling
遺傳演算法與粒子群最佳化於生產排程
[10] 歐子毓、王蒂元
Data science for hourse price prediction
資料科學於房價預測
Award: 成大資訊工程系109級大學部畢業專題展示會 佳作
[9] 陳冠宇, 張庭維
Machine learning for remaining useful life prediction of bearings
機器學習於軸承剩餘壽命預測
[8] 張睿, 馮義程
Reinforcement Learning in Stock Trading System
強化學習於股票交易之應用
[7] 楊智丞, 鄭宇軒, 黃祺晏, and 王晉鋒
Diet Problem and Attractions Routing Optimization
飲食規劃與景點路徑最佳化
[6] 呂開誠, 徐偉倫 (coadvised with Professor Sun-Yuan Hsieh)
Diffusion Forecasting for Zika Virus
茲卡病毒之擴散預測
[5] 吳欣燁, 林詠倫
Text Mining for the Geek Culture
宅男文化之文字探勘
[4] 李季紘
Data Mining and Feature Selection for TFT-LCD Black Matrix Process
以資料探勘建立工程參數篩選機制於TFT-LCD黑色矩陣製程
[3] 陳建旭, 鄭佩怡
Internship: San Sing Fastech Co. 三星科技股份有限公司
Equipment Utilization Analysis and Scheduling Decision Support System for Steel Nut Manufacturer
鋼鐵螺帽製造廠車台稼動率分析與排程決策支援系統
[2] 蔡宗倫, 洪紹嚴, 連炤越
Data Mining for Predicting Excitement of Education Donation
以資料探勘建立教育捐款之預測模型
[1] 顧凱云 (Kai-Yun Ku)
Data Mining for Bio-Chip Analysis: A Study of Breast Cancer
資料探勘於生物晶片之應用:以乳癌為例
|