Dr Bin Liu

Senior Lecturer

Management Science

Personal statement

I am a Senior Lecturer (Associate Professor) in the Department of Management Science. I joined Strathclyde in Jan 2019 as a Lecturer. Before that I was working as a Postdoctoral Fellow in the University of Waterloo, Canada. I received the BE degree in automation from Zhejiang University, China in 2013, and the PhD degree in industrial engineering from City University of Hong Kong, Hong Kong in 2017. My research interests include risk & reliability analysis, intelligent asset management, decision making under uncertainty, and data analytics. I focus on developing new methods to solve real problems, with applications in a variety of industries, including manufacturing, utility (water, transportation, infrastructure), and energy.

I am willing to accept PhD students. If you are interested in my research, please send me your CV and transcripts. Current PhD scholarship available:

1. Extending the explainability of machine learning models in policy decision making

2. Added value of business intelligence for machinery upgrades and modernisation



Remaining lifetime of degrading systems continuously monitored by degrading sensors
Mukhopadhyay Koushiki, Liu Bin, Bedford Tim, Finkelstein Maxim
Reliability Engineering and System Safety Vol 231 (2022)
Data augmentation to improve the performance of ensemble learning for system failure prediction with limited observations
Shi Guo, Liu Bin, Walls Lesley
2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) 13th International Conference on Reliability, Maintainability, and Safety: Reliability and Safety of Intelligent Systems, ICRMS 2022, pp. 296-300 (2022)
Joint optimization of production lot-sizing and condition-based maintenance in an imperfect production process with dependent indicators
Zhang Nan, Tian Sen, Liu Bin, Zhang Jun
Quality Technology and Quantitative Management (2022)
Imperfect maintenance policies for warranted products under stochastic performance degradation
Zhao Xiujie, Liu Bin, Xu Jianyu, Wang Xiao-Lin
European Journal of Operational Research (2022)
Modified DSAN for unsupervised cross-domain fault diagnosis of bearing under speed fluctuation
Luo Jingjie, Shao Haidong, Cao Hongru, Chen Xingkai, Cai Baoping, Liu Bin
Journal of Manufacturing Systems Vol 65, pp. 180-191 (2022)
Data augmentation and intelligent fault diagnosis of planetary gearbox using ILoFGAN under extremely limited samples
Chen Mingzhi, Shao Haidong, Dou Haoxuan, Li Wei, Liu Bin
IEEE Transactions on Reliability, pp. 1-9 (2022)

More publications

Professional activities

4th International Conference on System Reliability and Safety Engineering (SRSE 2022)
Member of programme committee
Markov decision process and reinforcement learning for smart operation and maintenance
2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM2022)
Member of programme committee
13th International Conference on Reliability, Maintainability, and Safety (ICRMS2022)
Data augmentation for deep learning in system failure prediction with limited observations

More professional activities


Enhancing sustainable finance with satellite data and advanced analytics
Liu, Bin (Principal Investigator) Bowden, James (Co-investigator) Riccardi, Annalisa (Co-investigator)
01-Jan-2021 - 30-Jan-2022
Deep Transfer learning for Diagnosis, Prognosis and Maintenance of Sludge Bulking in Wastewater Treatment (International Exchange Cost Share)
Walls, Lesley (Principal Investigator) Liu, Bin (Co-investigator)
30-Jan-2021 - 29-Jan-2023
Intelligent control technology for printing and dyeing wastewater treatment based on human-machine collaborative decision-making
Liu, Bin (Principal Investigator) Walls, Lesley (Co-investigator)
01-Jan-2020 - 31-Jan-2021
Global Engagement Grant
Liu, Bin (Principal Investigator)
25-Jan-2019 - 25-Jan-2020

More projects