Dr Bin Liu

Senior Lecturer

Management Science

Contact

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, and the PhD degree in industrial engineering from City University of Hong Kong, Hong Kong. My rsearch 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.

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Publications

BCE-FL : a secure and privacy-preserving federated learning system for device fault diagnosis under non-IID condition in IIoT
Xiao Yiming, Shao Haidong, Lin Jian, Huo Zhiqiang, Liu Bin
IEEE Internet of Things Journal Vol 11, pp. 14241-14252 (2024)
https://doi.org/10.1109/jiot.2023.3340745
PSparseFormer : enhancing fault feature extraction based on parallel sparse self-attention and multiscale broadcast feed-forward block
Wang Jie, Shao Haidong, Peng Ying, Liu Bin
IEEE Internet of Things Journal (2024)
https://doi.org/10.1109/jiot.2024.3377674
rgfc-Forest : an enhanced deep forest method towards small-sample fault diagnosis of electromechanical system
Ming Yuhang, Shao Haidong, Cai Baoping, Liu Bin
Expert Systems with Applications Vol 238 (2024)
https://doi.org/10.1016/j.eswa.2023.122178
Industrial surface defect detection and localization using multi-scale information focusing and enhancement GANomaly
Peng Jiangji, Shao Haidong, Xiao Yiming, Cai Baoping, Liu Bin
Expert Systems with Applications Vol 238 (2024)
https://doi.org/10.1016/j.eswa.2023.122361
LiConvFormer : a lightweight fault diagnosis framework using separable multiscale convolution and broadcast self-attention
Yan Shen, Shao Haidong, Wang Jie, Zheng Xinyu, Liu Bin
Expert Systems with Applications Vol 237 (2024)
https://doi.org/10.1016/j.eswa.2023.121338
Few-Shot Cross-Domain Fault Diagnosis of Bearing Driven By Task-Supervised ANIL
Shao Haidong, Zhou Xiangdong, Lin Jian, Liu Bin
IEEE Internet of Things Journal (2024)
https://doi.org/10.1109/jiot.2024.3360432

More publications

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Professional Activities

Data-driven decision-making for smart operation and maintenance
Speaker
5/12/2023
External examiner of PhD viva: Bo Xu from University of Waterloo
Examiner
2/9/2023
Yanfu Li
Host
30/6/2023
Pai Zheng
Host
23/6/2023
Min Xia
Host
23/6/2023
Robust Markov decision processes and online reinforcement learning for engineering asset management
Invited speaker
17/5/2023

More professional activities

Projects

Extending the explainability of machine learning models in policy decision making
Liu, Bin (Principal Investigator) Revie, Matthew (Co-investigator)
ESRC funding via SGSSS: ES/P000681/1
ESRC: £59,228
UoS: £31,892
02-Jan-2023 - 31-Jan-2027
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

More projects

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Contact

Dr Bin Liu
Senior Lecturer
Management Science

Email: b.liu@strath.ac.uk
Tel: 548 4900