廖穎
人物簡歷
博士，工業工程，美國德克薩斯理工大學（2018 – 2023年）
碩士，應用統計，中山大學（2015 – 2017年）
學士，統計學，中山大學（2010 – 2014年）
教學課程
研究領域
統計機器學習、時間序列預測分析、商業數據分析、健康醫療
學術經歷
管理科學與工程系特聘副研究員，武漢大學，2023年9月–至今
工作經歷
獲獎情況
• 可靠性工程師協會最佳論文(Doug Ogden Best Paper Award from Society of Reliability Engineers)及$5000獎金，2021
• 工業與系統工程師雜誌精選文章(Featured article in Industrial and Systems Engineer Magazine)，2021
• 運籌學和管理學研究協會學生分會年度榮譽獎(Honorable Mention of INFORMS Student Chapter Annual Award)，2022
• 德克薩斯理工大學研究生院博士論文完成獎學金(Doctoral Dissertation Completion Fellowship)，2022-2023
• IISE Future Faculty Fellow，2021-2022
• 碩士研究生國家獎學金，2017
研究成果
國際期刊論文
• Liao, Y., Xiang, Y., Zhao, Z., & Ai, D. (2023). Bayesian mixed-effect higher-order hidden Markov models with applications to predictive healthcare using electronic health records. IISE Transactions. (學院A-，第二輪審稿)
• Liao, Y., Dong, N., & Xiang, Y. (2023). Bayesian prognosis analysis of human papillomavirus-associated head and neck cancer using hierarchical Dirichlet process mixture models. IISE Transactions. (Online, 學院A-)
• Liao, Y., Xiang, Y., Zheng, M., & Wang, J. (2023). DeepMiceTL: a deep transfer learning based prediction of mice cardiac conduction diseases using early electrocardiograms. Briefings in Bioinformatics, 24(3), bbad109. (學院B)
• Liao, Y., Xiang, Y., & Wang, M. (2021). Health assessment and prognostics based on higher-order hidden semi-Markov models. Naval Research Logistics (NRL), 68(2), 259-276. (學院A-)
• Shi, Y., Xiang, Y., Liao, Y., Zhu, Z., & Hong, Y. (2021). Optimal burn-in policies for multiple dependent degradation processes. IISE Transactions, 53(11), 1281–1293. (學院A-，評選為2021工業及系統工程雜誌精選文章)
• Andrukonis, A., Protopopova, A., Xiang, Y., Liao, Y., & Hall, N. (2021). Behavioral correlates of urinary output in shelter cats. Applied Animal Behaviour Science, 241, 105397.
國際會議論文
• Zhu, Z., Xiang, Y., & Liao, Y. (2022). Two-stage stochastic programming for maintenance optimization of multi-component systems. In 2022 Annual Reliability and Maintainability Symposium (RAMS) (pp. 1-6). IEEE.
• Liao, Y., Xiang, Y., & Keedy, E. (2021). Age-based maintenance scheduling for flowmeters with multiple failure modes and covariates. In 2021 Annual Reliability and Maintainability Symposium (RAMS) (pp. 1-6). IEEE.
• Liao, Y., Xiang, Y., & Du, D. (2020). Automatic classification of heartbeats using ECG signals via higher order hidden Markov model. In 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) (pp. 69-74). IEEE.
• Liao, Y., Xiang, Y., & Keedy, E. (2020). Reliability analysis of flow meters with multiple failure modes in the process industry. In 2020 Annual Reliability and Maintainability Symposium (RAMS) (pp. 1-6). IEEE.
• Bediako, E., Xiang, Y., Alaswad, S., Liao, Y., & Xing, L. (2020). Reliability analysis of crude unit overhead piping based on wall thickness degradation process. In 2020 Annual Reliability and Maintainability Symposium (RAMS) (pp. 1-6). IEEE.
• Liao, Y., Xiang, Y., Beruvides, M., & Heinze, L. (2019). A data-driven prognostic method for crude-oil pipeline systems. In 2019 Southwestern Petroleum Short Course.
科研項目
縱向項目
• 提高增材再製造領域的環境及經濟的可持續性，美國國家自然科學基金會傑出青年教授基金，$508,805美元，2020–2025，參與
• 複雜系統在動態環境中的維修優化，美國國家自然科學基金會，$279,025美元，2017–2021，參與
橫向項目
• 數據驅動下流量計的可靠性分析和維修規劃，科思創（Covestro），$11,500美元，2020–2025，參與[1]