Dr Bin Liu

Strathclyde Chancellor's Fellow

Management Science

Personal statement

I am a Chancellor's Fellow (previously was 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 in 2013, and the Ph.D. degree in industrial engineering from City University of Hong Kong, Hong Kong in 2017. My research interests include risk & reliability analysis, intelligent maintenance 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), energy, and fintech.

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

 

Publications

Clustering-guided novel unsupervised domain adversarial network for partial transfer fault diagnosis of rotating machinery
Cao Hongru, Shao Haidong, Liu Bin, Cai Baoping, Cheng Junsheng
IEEE Sensors Journal (2022)
Reliability analysis of load-sharing systems with spatial dependence and proximity effects
Brown Bodunrin, Liu Bin, McIntyre Stuart, Revie Matthew
Reliability Engineering and System Safety Vol 221 (2022)
https://doi.org/10.1016/j.ress.2021.108284
Multi-index probabilistic anomaly detection for large span bridges using Bayesian estimation and evidential reasoning
Xu Xiang, Forde Michael C, Ren Yuan, Huang Qiao, Liu Bin
Structural Health Monitoring (2022)
https://doi.org/10.1177/14759217221092786
Discussion of signature-based models of preventive maintenance
Zhang Mimi, Liu Bin
Applied Stochastic Models in Business and Industry (2022)
https://doi.org/10.1002/asmb.2690
Reliability evaluation of repairable systems considering component heterogeneity using frailty model
Brown Bodunrin, Liu Bin, Revie Matthew, McIntyre Stuart
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability (2022)
Probabilistic anomaly trend detection for cable-supported bridges using confidence interval estimation
Xu Xiang, Qian Zhen-Dong, Huang Qiao, Ren Yuan, Liu Bin
Advances in Structural Engineering Vol 25, pp. 966-978 (2022)
https://doi.org/10.1177/13694332211056108

More publications

Professional activities

Frontiers in Mechanical Engineering (Journal)
Editorial board member
19/5/2022
Condition-Based Maintenance for Dependent Degradation Processes
Invited speaker
28/11/2021
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
2020 IEEE International Conference on Industrial Engineering and Engineering Management
Member of programme committee
12/2020

More professional activities

Projects

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