Dr Bin Liu
Senior Lecturer
Management Science
Personal statement
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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Prize 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
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Publications
- Small sample gearbox fault diagnosis based on improved deep forest in noisy environments
- Shao Haidong, Ming Yuhang, Liu Yiyu, Liu Bin
- Nondestructive Testing and Evaluation Vol 40, pp. 3935-3956 (2025)
- https://doi.org/10.1080/10589759.2024.2404489
- LSFConvformer : a lightweight method for mechanical fault diagnosis under small samples and variable speeds with time-frequency fusion
- Shao Haidong, Lai Yanzuo, Liu Haoran, Wang Jie, Liu Bin
- Mechanical Systems and Signal Processing Vol 236 (2025)
- https://doi.org/10.1016/j.ymssp.2025.113016
- Incremental few-shot fault diagnosis with cosine-represent real-time evolved network of transmission systems
- Yan Shen, Shao Haidong, Long Zhuo, Liu Bin
- IEEE Transactions on Transportation Electrification Vol 11, pp. 9544-9554 (2025)
- https://doi.org/10.1109/tte.2025.3563630
- Interpretable anomaly detection using extended isolation forest with adaptive thresholds
- Shao Minghui, Shao Haidong, Wang Xinyi, Gao Yi, Liu Bin
- Structural Health Monitoring (2025)
- https://doi.org/10.1177/14759217251339607
- DT-PPO : a real-time multisensor-driven predictive maintenance framework
- Zhou Ke, Zhong Xiang, Shao Haidong, Zhang Haomiao, Liu Bin
- Reliability Engineering and System Safety Vol 262 (2025)
- https://doi.org/10.1016/j.ress.2025.111227
- Compact uncertainty sets for robust optimization based on bootstrapped Dirichlet process mixture model
- Neofytou Andreas, Liu Bin, Akartunali Kerem
- Optimization, pp. 1-44 (2025)
- https://doi.org/10.1080/02331934.2025.2451812
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Professional Activities
- Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability (Journal)
- Associate Editor
- 25/3/2025
- Intelligent operations and maintenance: Data-driven approach
- Speaker
- 15/11/2024
- Université Paris Saclay
- Visiting researcher
- 1/11/2024
- 2024 INFORMS Annual Meeting
- Participant
- 20/10/2024
- Tianjin University
- Visiting researcher
- 28/7/2024
- Data-driven maintenance optimisation
- Speaker
- 26/7/2024
Projects
- Human-in-the-loop to improve AI explainability, reliability and safety
- Liu, Bin (Principal Investigator) Zhao, Yingying (Co-investigator)
- 01-Jan-2025 - 31-Jan-2026
- COst Forecasting Framework with Expert and Analogous Data (COFFEAD)
- Quigley, John (Principal Investigator) Liu, Bin (Co-investigator) Revie, Matthew (Co-investigator) Walls, Lesley (Co-investigator)
- 15-Jan-2024 - 15-Jan-2026
- 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