Professor Shaomin Wu received his PhD and MSc in Applied Statistics. Before moving to the University of Kent, he was a senior lecturer in risk and decision analysis at Cranfield University. He was a research fellow in machine learning at Bristol University.
Shaomin has six years’ industry experience. He was a senior data analyst in a company in Shanghai after his PhD graduation and a senior data analyst in a credit card company in the UK.
Shaomin serves on the editorial boards of six journals including:
He has co-chaired 4 international conferences, has been invited to act as scientific committee members by more than 25 international conferences, has edited 5 journal special issues, and has published more than 90 papers in scholarly journals.
Shaomin was honoured to be within the top 2% Ranking of Scientists in the World by Stanford University.
Shaomin has also won research funding from the EPSRC as the PI and a Co-I, respectively, and undertook a research project funded by the ESRC as a co-investigator.
Shaomin has considerable experience in a range of research areas, including:
In applied stochastic processes, he has published papers in recurrent event survival analysis with potential applications in physical asset management such as infrastructure maintenance planning and engineering system diagnostics.
In Machine Learning, he is interested in development of performance measures of classification models and development of forecasting models in industrial data analytics, such as warranty/insurance claims analysis.
In Risk Analysis, he participated in an EPSR project on human reliability analysis, with applications to drinking water systems. He has also conducted research in weak-link analysis and engineering reliability systems.
In Security Analysis, he has co-authored several papers on development of attack and defence strategies.
Professor Wu has teaching experience in various subjects such as Statistical Data Analysis, Machine Learning, Risk Management, and Reliability Engineering in higher education institutions. He also teaches computing languages such as R and SQL.
He welcomes applicants with a background relating to computing sciences or statistics.
Shaomin is a visiting professor of Shangdong University of Finance and Economics, China (since 2017), and was a visiting professor to Hong Kong Baptist University.