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.
Back to staff profile
Prize And Awards
- SBS Teaching Excellence Awards
- Recipient
- 28/5/2026
- 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
Back to staff profile
Publications
- Towards generalizable fault diagnosis via LLM-driven hierarchical cross-modal alignment
- Wang Jie, Sun Ze, Zhang Jiale, Shao Haidong, Xiao Yiming, Liu Bin
- Knowledge Based Systems Vol 341 (2026)
- https://doi.org/10.1016/j.knosys.2026.115897
- VAVFormer: A general interpretable fault diagnosis framework based on variational fusion and adaptive volatility attention
- Liu Le, Shao Haidong, Xiao Yiming, Liu Bin
- Computers in Industry Vol 177 (2026)
- https://doi.org/10.1016/j.compind.2026.104459
- Compact uncertainty sets for robust optimization based on bootstrapped Dirichlet process mixture model
- Neofytou Andreas, Liu Bin, Akartunali Kerem
- Optimization Vol 75, pp. 1183-1226 (2026)
- https://doi.org/10.1080/02331934.2025.2451812
- Cross-domain attention guided multi-source domain adaptation method for machinery fault diagnosis
- Wang Jie, Guo Jianning, Shao Haidong, Xiao Yiming, Peng Ying, Liu Bin
- Engineering Applications of Artificial Intelligence Vol 167 (2026)
- https://doi.org/10.1016/j.engappai.2026.113867
- Dual-stage interpretable domain generalization fault diagnosis : integrating prior knowledge and gradient-weighted class activation mapping
- Peng Ying, Shao Haidong, Xiao Yiming, Wang Jie, Liu Bin
- Engineering Applications of Artificial Intelligence Vol 166 (2026)
- https://doi.org/10.1016/j.engappai.2025.113655
- Partial sensing information-driven threshold cyclic update graph autoencoder for mechanical anomaly detection
- Gao Yi, Shao Haidong, Yan Shen, Wang Xinyi, Liu Bin
- Reliability Engineering and System Safety Vol 265 (2026)
- https://doi.org/10.1016/j.ress.2025.111558
Back to staff profile
Professional Activities
- Data-driven maintenance management under varying working conditions
- Speaker
- 30/6/2026
- External examiner
- Examiner
- 3/2026
- 35th European Safety and Reliability Conference and the 33rd Society for Risk Analysis Europe Conference
- Participant
- 15/6/2025
- 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
Projects
- EPSRC IAA: Feasibility Assessment of Iron-Based Hydrogen Storage for Decentralised Hydrogen Systems
- Li, Jun (Principal Investigator) Lue, Leo (Co-investigator) Liu, Bin (Co-investigator) Paterson, Thomas (Researcher)
- 01-Jan-2026 - 31-Jan-2026
- Multi-layer Predictive Control of Iron Salt Dosing for Sustainable Wastewater Treatment (International Exchanges 2025 Cost Share NSFC)
- Liu, Bin (Principal Investigator) Walls, Lesley (Co-investigator)
- 01-Jan-2026 - 31-Jan-2027
- Human-in-the-loop to improve AI explainability, reliability and safety
- Liu, Bin (Principal Investigator) Zhao, Yingying (Co-investigator)
- 01-Jan-2025 - 28-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
- 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