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.

Prizes and awards

Outstanding reviewer for Reliability Engineering & System Safety: Recipient; 10/2018
Outstanding reviewer for Computers & Industrial Engineering: Recipient; 12/2017
Outstanding reviewer for International Journal of Production Economics: Recipient; 2017
Outstanding reviewer for European Journal of Operational Research: Recipient; 12/2016
Outstanding Academic Performance Award: Recipient; 2016
Outstanding reviewer for Computers & Industrial Engineering: Recipient; 11/2015

More prizes and awards

Publications

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); https://doi.org/10.1002/qre.2942
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); https://doi.org/10.1016/j.automatica.2021.109551
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); https://doi.org/10.1016/j.ress.2021.107526
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); https://doi.org/10.1007/s12205-021-1243-y
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); https://doi.org/10.1016/j.asoc.2020.107060
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); https://doi.org/10.1016/j.ijpe.2020.107974

More publications

Professional activities

Taylor & Francis, CRC Press (Publisher): Peer reviewer; 6/2021
Frontiers in Manufacturing Technology (Journal): Editorial board member; 5/2021
International Journal of Production Research (Journal): Guest editor; 3/2021
IEEE International Workshop on Predictive Maintenance (PM 2020): Member of programme committee; 12/2020
2020 IEEE International Conference on Industrial Engineering and Engineering Management: Member of programme committee; 12/2020
1st Workshop on Intelligent Offloading for Internet of Things (IOIoT 2020): Member of programme committee; 8/2020

More professional activities

Projects

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

Address

Management Science
Duncan Wing

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