- University of Kent
- Kent Business School
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- Professor Shaomin Wu
Professor Shaomin Wu
Shaomin Wu earned both an MSc and a doctoral degree in applied statistics. He subsequently worked for a leading global manufacturer in Shanghai for five and a half years before relocating to the UK in 2001. His first two roles in the UK were as postdoctoral research fellows, focusing on machine learning and reliability mathematics, respectively. He then served as a lecturer in risk and decision analysis at Cranfield University. In 2012, he was appointed senior lecturer in business/applied statistics at Kent Business School, became a reader in 2013, and was promoted to professor in 2018.
Shaomin’s research focuses are:
His research was financially funded by the EPSRC, ESRC, and other funding bodies.
Examples of his projects include:
Shaomin taught modules including:
Supervision topics:
Time series forecasting, recurrent event data analysis, explainable machine learning, reliability mathematics
Current Supervision:
He is supervising several PhD students in the research areas of time series forecasting, explainable machine learning, and recurrent event data analysis. The research topics of the supervisees include:
He was also honoured to be within the top 2% Ranking of Scientists in the World by Stanford University for several years.
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