Liao, Ying
	Assistant Professor
	Department of Management Science & Engineering
	Email: ying.liao@whu.edu.cn
	Phone : 027-68753121
	PhD, Industrial Engineering, Texas Tech University, USA (2018-2023)
	M.A, Applied Statistics, Sun Yat-sen University, China (2015-2017)
	B.A., Statistics, Sun Yat-sen University, China (2010-2014)

TEACHING AND RESEARCH AREAS

Teaching Programme : Data Analysis Methods and Experiments in R (undergraduate, 72); Bayesian Statistics (undergraduate, 48)

Teaching Focusing : Data Analytics; Bayesian Inference

Research Areas : Statistical Machine Learning; Bayesian Analysis; Intelligent Manufacturing and Healthcare; Business Analytics

ACADEMIC EXPERIENCE

Assistant Professor of Management Science and Engineering, Wuhan University, Sep. 2023 – Present

SELECTED PUBLICATIONS

Journal Papers (International)

Liao, Y., Xiang, Y., Zhao, Z., & Ai, D. (2024). Bayesian mixed-effect higher-order hidden Markov models with applications to predictive healthcare using electronic health records. IISE Transactions, 57(2), 186–198.

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, 56(8), 855–869.

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.

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.

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.

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.

Conference Papers (International)

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.

RESEARCH GRANTS

Government-funded grants

“Prognostics and Health Management of Complex Systems with Heterogeneity Based on Indirectly Observable Degradation Data”, supported by the Chinese Natural Science Foundation (72401220), 2025-2027, PI

AWARDS AND HONORS

Doctoral Dissertation Completion Fellowship, Texas Tech Graduate School, 2022

Honorable Mention of INFORMS Student Chapter Annual Award, INFORMS, 2022

Doug Ogden Best Paper Award with $5,000 cash award, Society of Reliability Engineers, 2021

Featured Article in Industrial and Systems Engineer Magazine, Institute of Industrial and Systems Engineers, 2021

IISE Future Faculty Fellow, IISE Future Faculty Fellows Program, 2021-2022

MEMBERSHIPS, CERTIFICATIONS

INFORMS

IISE