Projects per year
Personal profile
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.
Education/Academic qualification
Doctor of Philosophy, City University of Hong Kong
Bachelor of Engineering, Zhejiang University
Keywords
- Risk & reliability analysis
- Intelligent asset management
- Machine learning & AI
- Prognostic & health management
- Data & decision analytics
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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Collaborations and top research areas from the last five years
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EPSRC IAA: Feasibility Assessment of Iron-Based Hydrogen Storage for Decentralised Hydrogen Systems
Li, J. (Principal Investigator), Lue, L. (Co-investigator), Liu, B. (Co-investigator) & Paterson, T. (Researcher)
1/04/26 → 31/12/26
Project: Research
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Multi-layer Predictive Control of Iron Salt Dosing for Sustainable Wastewater Treatment (International Exchanges 2025 Cost Share NSFC)
Liu, B. (Principal Investigator) & Walls, L. (Co-investigator)
1/01/26 → 31/12/27
Project: Research
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Towards generalizable fault diagnosis via LLM-driven hierarchical cross-modal alignment
Wang, J., Sun, Z., Zhang, J., Shao, H., Xiao, Y. & Liu, B., 23 May 2026, In: Knowledge Based Systems. 341, 115897.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)8 Downloads (Pure) -
VAVFormer: A general interpretable fault diagnosis framework based on variational fusion and adaptive volatility attention
Liu, L., Shao, H., Xiao, Y. & Liu, B., 1 May 2026, In: Computers in Industry. 177, 104459.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Link opens in a new tab Citations (Scopus)4 Downloads (Pure)
Prizes
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Best Paper Award
Shi, G. (Recipient), Liu, B. (Recipient) & Walls, L. (Recipient), 24 Aug 2022
Prize: Prize (including medals and awards)
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Outstanding Academic Performance Award
Liu, B. (Recipient), 2016
Prize: Prize (including medals and awards)
Activities
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Data-driven maintenance management under varying working conditions
Liu, B. (Speaker)
30 Jun 2026Activity: Talk or Presentation › Invited talk
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