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Wenshou Tang

Research Associate

Wenshou Tang


AI solutions for integrity and degradation analysis, as well as remaining useful life predictions, across critical assets in energy and transportation systems.

Dr. Wenshuo Tang is an early career researcher, currently serves as a Research Associate at the University of Glasgow. With track record working as leading RA in government and industry-funded research initiatives, including the Hybrid Fusion Energy System (InnovateUK, 102432) and Holistic Operation and Maintenance for Energy from Offshore Wind Farms (HOME-Offshore, EP/P009743/1), Dr. Tang specializes in the application of AI , digital technologies, and advanced sensing methods for multi-objective optimization within energy and transportation systems. His expertise extends to asset health management and prognostics.

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Research Associate (Systems Power & Energy)


James Watt School of Engineering
University of Glasgow
G12 8QQ