Dr. Shengkun Xie
Overview
Shengkun Xie conducts high-quality research in Risk Modeling, Insurance Rate Making, Health Informatics and Analysis of Agent-based Simulation Models of Complex Systems. His teaching areas include, but are not limited to, Business Statistics, Business Mathematics, Data Analytics, Business Forecasting and Machine Learning with Applications. Dr. Xie has a Ph.D. in Applied Statistics (2010) and 2 MSc degrees, MSc in Financial Mathematics (2006) and MSc in Actuarial Science (2005). His BSc degree is in Computing and Information (1999). In 2010, Dr. Xie joined the Signal Analysis Research group at the Electrical and Computer Engineering Department at Ryerson University as a MITACS Elevate Strategic Postdoctoral Fellow, and engaged in research on advanced health technology. His research expertise lies primarily in data analytics, statistical machine learning, statistical computing, predictive modelling, pattern recognition, and multivariate statistical methods. In addition to teaching at TRSM, he worked as a statistical consultant at Financial Services Commission of Ontario from 2012 to 2015.
Since 2015, he has been actively serving as a member of MSc Graduate Advisory Committees at the Department of Mathematics and Statistics of the University of Guelph. Since 2010, he has been actively reviewing reputable journals and conference papers and MITACS Accelerate Internship Program Proposals. He has also been actively serving as a scientific program committee member for various conferences, including the International Conference on Data Science, Technology and Applications (DATA), presenting research work and chairing sessions at prestigious international conferences.
Risk Modelling, Statistical Signal Processing, Statistical Machine Learning, Business Data Analytics, Business Forecasting, Auto Insurance Pricing, Auto Insurance Rate Regulation, Financial Mathematics.
| Book Chapters |
|---|
| Xie, S., & Lawniczak, A. T. (2019). Fourier Spectral Domain Functional Principal Component Analysis of EEG Signals. In International Conference on Pattern Recognition Applications and Methods (pp. 3-22). Springer, Cham. |
| Lawniczak, A. T., Ly, L., Xie, S., & Yu, F. (2016). Effects of Agents’ Fear, Desire and Knowledge on Their Success When Crossing a CA Based Highway. In International Conference on Cellular Automata (pp. 446-455). Springer, Cham. |
| Refereed Journal Articles |
|---|
| Nardone, M; Incognito, A; Kathia, M; Omazic, L; Lee, J; Teixeira, A; Xie, S; Vianna, L; Millar, P. (2021). Signal-averaged resting sympathetic transduction of blood pressure: is it time to account for prevailing muscle sympathetic burst frequency? American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. Accepted. |
| Xie, S. (2021). Wavelet Power Spectral Domain Functional Principal Component Analysis for Feature Extraction of Epileptic EEGs. Computation, 9(7), 78. |
| Xie, S. (2021). Improving Explainability of Major Risk Factors in Artificial Neural Networks for Auto Insurance Rate Regulation. Risks, 9(7), 126. |
| Xie, S., Lawniczak, A. T., & Hao, J. (2020). Modelling Autonomous Agents’ Decisions in Learning to Cross a Cellular Automaton-Based Highway via Artificial Neural Networks. Computation, 8(3), 64. |
| Xie, S., Lawniczak, A. T., & Gan, C. (2019). Modeling and Analysis of Autonomous Agents’ Decisions in Learning to Cross a Cellular Automaton-Based Highway. Computation, 7(3), 53. |
| Xie, S. (2019). Defining Geographical Rating Territories in Auto Insurance Regulation by Spatially Constrained Clustering. Risks, 7(2), 42. |
| Xie, S., & Lawniczak, A. T. (2018). Estimating major risk factor relativities in rate filings using generalized linear models. International Journal of Financial Studies, 6(4), 84. |
| Xie, S., & Krishnan, S. (2017). Model-based sparse feature extraction for biomedical signal classification. International Journal of Statistics in Medical Research, 6(1), 10-21. |
| Refereed Conference Proceedings |
|---|
| Xie, S., Gan, C. & Chua-Chow, C. (2021). Estimating Territory Risk Relativity for Auto Insurance Rate Regulation using Generalized Linear Mixed Models. In DATA (pp. 329-334). |
| Xie, S., & Chua-Chow, C. (2020). Improving Statistical Reporting Data Explainability via Principal Component Analysis. In DATA (pp. 185-192). |
| Xie, S., Lawniczak, A., Hao, J., & Gan, C. (2019, December). Improving Data Explainability in Analysis of Designed Computer Simulation Experiments. In 2019 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1486-1493). IEEE. |
| Xie, S., & Krishnan, S. (2019, July). Feature extraction of epileptic EEG using wavelet power spectra and functional PCA. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 2551-2554). IEEE. |
| Xie, S., & Lawniczak, A. T. (2019). Feature Extraction of Epileptic EEG in Spectral Domain via Functional Data Analysis. In ICPRAM (pp. 118-127). |
| Xie, S., Lawniczak, A. T., & Wang, Z. (2017). Spatially Constrained Clustering to Define Geographical Rating Territories. In ICPRAM (pp. 82-88). |
| Lawniczak, A. T., Ly, L., Yu, F., & Xie, S. (2016). Effects of model parameter interactions on Naïve creatures' success of learning to cross a highway. In 2016 IEEE Congress on Evolutionary Computation (CEC) (pp. 693-702). IEEE. |
For a complete list of publications and links of the papers, see the following sites:
Undergraduate courses taught
| Course code | Course title |
|---|---|
| QMS 102 | Business Statistics I |
| QMS 110 | Applied Mathematics for Business |
| QMS 130 | Quantitative Business Analysis |
| QMS 202 | Business Statistics II |
| QMS 230 | Statistics for Accounting and Finance |
| QMS 442 | Multiple Regression for Business |
| QMS 522 | Linear Algebra |
| QMS 702 | Calculus for Business |
| QMS 703 | Business Forecasting Techniques |
| Year | Research | Funding |
|---|---|---|
| 2010 – 2012 | MITACS Elevate Strategic Post-doc Fellowship | ($55,000 per annum |
| Year | Honour / Award |
|---|---|
| 2008 - 2009 | Ontario Graduate Scholarships ($15,000) |
| 2007 - 2008 | Ontario Graduate Scholarships in Science and Technology ($5,000) |
| 2006 - 2007 | University Graduate Scholarships ($3000), University of Guelph |
| 2005 - 2006 | University Graduate Scholarships ($3000), Wilfrid Laurier University, |
| 2004 - 2005 | University Graduate Scholarships ($3000), University of Western Ontario |