Dr Bin Liu

Strathclyde Chancellor's Fellow

Management Science

Personal statement

I am a lecturer in the Department of Management Science. Before that I was working as a Postdoctoral Fellow in University of Waterloo, Canada. I received the B.S. degree in automation from Zhejiang University, China, and the Ph.D. degree in industrial engineering from City University of Hong Kong, Hong Kong. My research interests include risk analysis, reliability and maintenance modeling, decision making under uncertainty, and data analysis.


Reliability analysis of systems with discrete event data using association rules
He Kangzhe, Liu Bin, Xie Min, Do Phuc, Iung Benoit, Kuo Way
Quality and Reliability Engineering International (2021)
Bayesian adversarial multi-node bandit for optimal smart grid protection against cyber attacks
Xu Jianyu, Liu Bin, Mo Huadong, Dong Daoyi
Automatica Vol 128 (2021)
Robustness of maintenance support service networks : attributes, evaluation and improvement
Fan Dongming, Lin Jing, Cai Baoping, Liu Bin
Reliability Engineering and System Safety Vol 210 (2021)
An age- and condition-dependent variable weight model for performance evaluation of bridge systems
Ren Yuan, Xu Xiang, Liu Bin, Huang Qiao
KSCE Journal of Civil Engineering Vol 25, pp. 1816–1825 (2021)
Adaptive ranking based ensemble learning of Gaussian process regression models for quality-related variable prediction in process industries
Liu Yiqi, Huang Daoping, Liu Bin, Feng Qiang, Cai Baoping
Applied Soft Computing Vol 101 (2021)
A performance-based warranty for products subject to competing hard and soft failures
Wang Xiaolin, Liu Bin, Zhao Xiujie
International Journal of Production Economics Vol 233 (2021)

More publications

Professional activities

Taylor & Francis, CRC Press (Publisher)
Peer reviewer
Frontiers in Manufacturing Technology (Journal)
Editorial board member
International Journal of Production Research (Journal)
Guest editor
IEEE International Workshop on Predictive Maintenance (PM 2020)
Member of programme committee
2020 IEEE International Conference on Industrial Engineering and Engineering Management
Member of programme committee
1st Workshop on Intelligent Offloading for Internet of Things (IOIoT 2020)
Member of programme committee

More professional activities


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)
Collaborative project with partners from mainland China and Hong Kong
01-Jan-2020 - 31-Jan-2021
Global Engagement Grant
Liu, Bin (Principal Investigator)
25-Jan-2019 - 25-Jan-2020

More projects