教学和研究领域
• 教学课程：R语言数据分析、贝叶斯统计
•研究领域：统计机器学习、时间序列预测分析、商业数据分析、健康医疗
学术经历
•管理科学与工程系特聘副研究员，yL23411永利官网登录，2023年9月–至今
工作经历
• 高一数学老师兼班主任，中山大学附属中学，2017年7月–2018年7月
• 中山大学研究生支教团成员，昌都市第一高级中学，2014年7月–2015年8月
获奖与荣誉
• 可靠性工程师协会最佳论文(Doug Ogden Best Paper Award from Society of Reliability Engineers)及$5000奖金，2021
• 工业与系统工程师杂志精选文章(Featured article in Industrial and Systems Engineer Magazine)，2021
• 运筹学和管理学研究协会学生分会年度荣誉奖(Honorable Mention of INFORMS Student Chapter Annual Award)，2022
• 德克萨斯理工大学研究生院博士论文完成奖学金(Doctoral Dissertation Completion Fellowship)，2022-2023
• IISE Future Faculty Fellow，2021-2022
• 硕士研究生国家奖学金，2017
编审经历
• IISE Transactions
• European Journal of Operational Research
• Reliability Engineering & Safety Science
• IEEE Transactions on Automation Science and Engineering
专业组织会员与资格证
1. 运筹学和管理学研究协会（INFORMS）会员
2. 工业与系统工程研究协会（IISE）会员
主要论文及书籍（近五年或过去十年较有社会影响力的）
国际期刊论文
• 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. (学院A-，第二轮审稿)
• 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, 学院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. (学院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. (学院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. (学院A-，评选为2021工业及系统工程杂志精选文章)
• 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.
国际会议论文
• 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.
科研项目
纵向项目
• 提高增材再制造领域的环境及经济的可持续性，美国国家自然科学基金会杰出青年教授基金，$508,805美元，2020–2025，参与
• 复杂系统在动态环境中的维修优化，美国国家自然科学基金会，$279,025美元，2017–2021，参与
横向项目
• 数据驱动下流量计的可靠性分析和维修规划，科思创（Covestro），$11,500美元，2020–2025，参与
