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

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)
https://doi.org/10.1016/j.jmsy.2022.09.004
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)
https://doi.org/10.1080/16843703.2022.2126263
Hybrid robust convolutional autoencoder for unsupervised anomaly detection of machine tools under noises
Yan Shen, Shao Haidong, Xiao Yimin, Liu Bin, Wan Jiafu
Robotics and Computer-Integrated Manufacturing Vol 79 (2022)
https://doi.org/10.1016/j.rcim.2022.102441
Reliability evaluation of repairable systems considering component heterogeneity using frailty model
Brown Bodunrin, Liu Bin, McIntyre Stuart, Revie Matthew
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability , pp. 1-17 (2022)
https://doi.org/10.1177/1748006X221109341
A two-stage UAV routing problem with time window considering rescheduling with random delivery reliability
Yan Rui, Tian Haotong, Gao Kaiye, Peng Rui, Liu Bin
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability (2022)
https://doi.org/10.1177/1748006x221105395
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)

More publications

Professional activities

4th International Conference on System Reliability and Safety Engineering (SRSE 2022)
Member of programme committee
15/12/2022
2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM2022)
Member of programme committee
7/12/2022
OR64
Organiser
13/9/2022
13th International Conference on Reliability, Maintainability, and Safety (ICRMS2022)
Organiser
21/8/2022
Data augmentation for deep learning in system failure prediction with limited observations
Speaker
9/6/2022
2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM2021)
Member of programme committee
13/12/2021

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