2024/11 Cheng-Yu Lyu, Silver Award for Excellent Quality Master's Thesis, Chinese Society of Quality.
2024/11 Chen-ju, Lin and Pei-chun Chou, Best Paper Award, APIEMS 2024.
2024/11 Chen-ju, Lin, Outstanding Young Scholar, Operations Research Society of Taiwan.
2023/11 Outstanding Poster Award, 2023 National Science and Technology Council (NSTC) Engineering Division.
2023/06 Wen-Fang Wang & Yu-Ting Chen, Honorable Mention, 2023 Operations Research Society of Taiwan Undergraduate Project Competition.
2023/06 Wen-Fang Wang & Yu-Ting Chen, Honorable Mention, CIE Student Branch Engineering Thesis Competition.
2023/05 Wen-Fang Wang & Yu-Ting Chen, "Predicting Cardiovascular Disease Symptoms Using ECG Data with Different Sampling Rates", Honorable Mention, 2023 CIIE National Undergraduate Thesis & Technical Report Competition.
2022/07 Ting-Wei Wu, Undergraduate Research Creativity Award, Ministry of Science and Technology, Taiwan (2021 Project Year).
2022/07 Ting-Wei Wu, "Exploring Multi-Class Data Classification Using Statistical Sampling Techniques", Third Place, 2022 CIIE National Undergraduate Thesis & Technical Report Competition.
2022/06 Chien-Yun Liu, Ching-Te Ku & Yi-Wen Yang, "Abnormal Detection in Chemical Fiber Uniformity Patterns", Honorable Mention, Chinese Institute of Engineers Student Branch Engineering Thesis Competition.
2021/07 Chia-Yun Wang & Hsin-Yu Chiang, "Predicting Air Quality Index (AQI) Using Regional Environmental Data", Honorable Mention, 2021 Operations Research Society of Taiwan Undergraduate Project Competition.
2020/11 Florence Leony, "Process Selection Based on Process Loss under Non-Normal Data", Silver Award for Excellent Quality Master’s Thesis, Chinese Society for Quality.
2019/08 Hsin-Yi Lin & Chen-ju, Lin*, Best Paper Award, "The Application of the Apriori Algorithm to Maintenance Strategy of Winder Machines", ICLS 2019.
2019/05 Hsin-Yi Lin, I-Chun Cheng & Yu-Hsiang Lin, "Failure Prediction and Maintenance Recommendations for Winder Machines", First Place, 2019 CIIE National Undergraduate Technical Report Competition.
2018/11 Chi-Chieh Chen, "Tool Change Time Analysis with Multiple Quality Characteristics", Silver Award for Excellent Quality Master’s Thesis, Chinese Society for Quality.
2018/10 Ming-Yi Yi & Chen-ju, Lin*, Best Paper Award "Selecting Alternative Processes under Non-Linear Profile Data by Using Simultaneous Confidence Bands", 2018 IISE Asian Conference & CIIE Annual Conference.
2018/06 Yu-Ting Weng & Yu-Fen Lan, "A Reduced Procedure for Screening Alternative Processes", Third Place, 2018 CIIE National Undergraduate Thesis & Technical Report Competition.
2017/11 Chun-Ting Lin & Chen-ju, Lin*, "Alternative Material Analysis for Laser Diode Wire Bonding: A Case of Silver Alloy Wire", First Prize, Industrial Application Paper Award, ISQM 2017, Chinese Society for Quality.
2016/05 Yu-Chieh Lan & Chun-Yi Chen, "Study on Process Yield with Multiple Quality Characteristics", Honorable Mention, 2016 CIIE National Undergraduate Thesis & Technical Report Competition.
2014/08 Chien-Hung Lin & Chen-Ju Lin*, Best Paper for Quality Engineering, "A Hybrid Chart to Detect Increased Incidence Rate under Unequal Population", International Symposium on Semiconductor Manufacturing Intelligence, Taipei.
2011/06 Yen-Ting Chen, "Detecting Spatio-Temporal Mean Shifts Using Weighted Rules", Honorable Mention, 2011 CIIE National Master’s Thesis Competition in Industrial Engineering & Management.
2011/06 You-Chen Chu, Geng-Hao Chang & Jia-Qing Wang, "Applying Likelihood Ratio Test to Analyze Spatio-Temporal Data: A Case of Male Leukemia in Taiwan", Honorable Mention, 2011 CIIE National Undergraduate Thesis & Technical Report Competition in Industrial Engineering & Management.
2011/02 Chen-ju, Lin, Young Scientist Prize Award, "Detecting Mean Shifts in Space-Time Data", The 7th International Conference on Intelligent Manufacturing & Logistics Systems (IML 2011), Taoyuan.
2010/12 Hsin-Hui Kuo & Chen-ju, Lin, "A Process Selection Model Based on Yield Index", Honorable Mention, 2010 Conference on Industrial Engineering and Management.
