Dr Guo Shi

Research Associate

Management Science

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Personal statement

I have a strong interest in applying statistics, optimisation theory, and mathematical modelling to solve real-world engineering and operational challenges. I have developed practical experience through both university research projects and industry collaborations, including work related to airport operations and power system asset algorithm design.

My background also includes participation in mathematical modelling and robotics competitions, as well as tutoring students in both theoretical foundations and practical analytical tools. In addition, I am enthusiastic about communicating research outcomes and sharing insights in academic and public settings.

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Prize And Awards

Best Paper Award
Recipient
24/8/2022

More prizes and awards

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Publications

Automated non-invasive wooden pole health assessment with natural language post-hoc model explanation
Shi Guo, Liu Ting, MacIntyre Fraser, Dennis Kevin, Riccardi Annalisa, Stephen Bruce
IEEE Transactions on Power Delivery (2026)
https://doi.org/10.1109/TPWRD.2026.3712132
On the scalability and coverage of LoRa mesh for monitoring linear infrastructure
Chen Yu, Shi Guo, Sambo Yusuf, Onireti Oluwakayode, Imran Muhammad
IEEE Transactions on Vehicular Technology Vol 74, pp. 14606-14619 (2025)
https://doi.org/10.1109/tvt.2025.3563236
LoRa Mesh-5G Integrated Network for Trackside Smart Weather Monitoring
Chen Yu, Shi Guo, Al-Quraan Mohammad, Sambo Yusuf, Onireti Oluwakayode, Imran Muhammad
IEEE Transactions on Vehicular Technology Vol 73, pp. 8903-8914 (2024)
https://doi.org/10.1109/tvt.2024.3361160
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
Optimal selective maintenance scheduling for series–parallel systems based on energy efficiency optimization
Xia Tangbin, Si Guojin, Shi Guo, Zhang Kaigan, Xi Lifeng
Applied Energy Vol 314 (2022)
https://doi.org/10.1016/j.apenergy.2022.118927

More publications

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Teaching

Statistics, risk analysis, reliability engineering, optimisation methods

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Contact

Dr Guo Shi
Research Associate
Management Science

Email: guo.shi@strath.ac.uk
Tel: Unlisted