Shengkun Xie completed a Ph.D. degree in applied statistics at the University of Guelph, Guelph, ON, Canada, in 2010. He holds an M.S. degree in statistical science (specialization: actuarial science) from the University of Western Ontario, London, ON, Canada, and a second M.S. degree in mathematics for finance and science from the Wilfrid Laurier University, Waterloo, ON, Canada, which he obtained in 2005 and 2006, respectively, after earning a B.S. degree in computing and information at the Harbin Institute of Technology, Heilongjiang, China. Dr. Xie's doctoral research focused on problems in developing new multivariate statistical methods for multivariate data feature extraction, a normal event detection, and data classification. The methods he developed have successfully been used for the analysis of large scale network traffic data and biomedical signals. In 2010, Dr. Xie joined the SAR group as an MITACS Elevate Strategic Postdoctoral Fellow engaged in research on advanced health technology. His statistical expertise centers primarily on the area of statistical learning, time series analysis, biomedical signal pattern recognition, multivariate statistical methods, and functional data analysis. To date, Dr. Xie has been a coauthor in 29 peer-reviewed papers.
Biography Updated on 16 December 2015