Dr Bin Liu

Senior Lecturer

Management Science

Personal statement

I am a Senior Lecturer (Associate Professor) in the Department of Management Science. I joined Strathclyde in Jan 2019 as a Lecturer. Before that I was working as a Postdoctoral Fellow in the University of Waterloo, Canada. I received the BE degree in automation from Zhejiang University, China in 2013, and the PhD degree in industrial engineering from City University of Hong Kong, Hong Kong in 2017. My research interests include risk & reliability analysis, intelligent asset 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), and energy.

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

1. Extending the explainability of machine learning models in policy decision making

2. Added value of business intelligence for machinery upgrades and modernisation

Prizes and awards

Best Paper Award: Recipient; 24/8/2022
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

More prizes and awards

Publications

Remaining lifetime of degrading systems continuously monitored by degrading sensors: Mukhopadhyay Koushiki, Liu Bin, Bedford Tim, Finkelstein Maxim; Reliability Engineering and System Safety Vol 231 (2022); https://doi.org/10.1016/j.ress.2022.109022
Data augmentation to improve the performance of ensemble learning for system failure prediction with limited observations: Shi Guo, Liu Bin, Walls Lesley; 2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) 13th International Conference on Reliability, Maintainability, and Safety: Reliability and Safety of Intelligent Systems, ICRMS 2022, pp. 296-300 (2022); https://doi.org/10.1109/ICRMS55680.2022.9944577
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
Imperfect maintenance policies for warranted products under stochastic performance degradation: Zhao Xiujie, Liu Bin, Xu Jianyu, Wang Xiao-Lin; European Journal of Operational Research (2022); https://doi.org/10.1016/j.ejor.2022.11.001
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
Data augmentation and intelligent fault diagnosis of planetary gearbox using ILoFGAN under extremely limited samples: Chen Mingzhi, Shao Haidong, Dou Haoxuan, Li Wei, Liu Bin; IEEE Transactions on Reliability, pp. 1-9 (2022); https://doi.org/10.1109/TR.2022.3215243

More publications

Professional activities

4th International Conference on System Reliability and Safety Engineering (SRSE 2022): Member of programme committee; 15/12/2022
Markov decision process and reinforcement learning for smart operation and maintenance: Speaker; 10/12/2022
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

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

Address

Management Science
Duncan Wing

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