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

Maintenance optimisation for systems with multi-dimensional degradation and imperfect inspections: Liu Bin, Zhao Xiujie, Liu Yiqi, Do Phuc; International Journal of Production Research Vol 59, pp. 7537-7559 (2021); https://doi.org/10.1080/00207543.2020.1844919
A hybrid cleaning scheduling framework for operations and maintenance of photovoltaic systems: Wang Zhonghao, Xu Zhengguo, Liu Bin, Zhang Yun, Yang Qinmin; IEEE Transactions on Systems, Man and, Cybernetics: Systems (2021); https://doi.org/10.1109/TSMC.2021.3131031
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 Vol 37, pp. 3693-3712 (2021); https://doi.org/10.1002/qre.2942
A risk-aware maintenance model based on a constrained Markov decision process: Xu Jianyu, Zhao Xiujie, Liu Bin; IISE Transactions (2021); https://doi.org/10.1080/24725854.2021.1973156
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

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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