Xiao Wang
Xiao Wang was born in November 1987 in Xintai, Shandong Province. She holds a Ph.D. in Science and is an Associate Professor and Master's Supervisor. She obtained her Ph.D. in Science from Beijing Normal University in June 2013 and is currently with the Information Management Department, School of Economics and Management, Beijing Institute of Petrochemical Technology. Her research focuses on emergency evacuation modeling and optimization, as well as time-series data mining. She concurrently serves as a Council Member of the Intelligent Computing Subsociety and the Fuzzy Information and Engineering Subsociety of the Operations Research Society of China. She has served as Principal Investigator for one Youth Program project of the National Natural Science Foundation of China, one General Program project of the China Postdoctoral Science Foundation, and one project of the Shandong Natural Science Foundation. As first author, she has published more than 10 SCI/SSCI-indexed papers. She currently teaches core courses such as Data Models and Decision-making, Python Data Analysis, and Statistics.
I. Main Research Areas
(1) Emergency evacuation modeling and optimization;
(2) Time-series data mining.
II. Main Research Projects
1. National Natural Science Foundation of China, Youth Program: "Research on clustering and forecasting in interval-valued time series data mining" (Project No.: 11701338), Principal Investigator, January 2018 – December 2020.
2. China Postdoctoral Science Foundation, General Program: "Research on identification algorithms for morphological periodicity in time series" (Project No.: 2019M650551), Principal Investigator, May 2019 – September 2020.
3. Shandong Natural Science Foundation Project: "Research on clustering of interval-valued time series based on information granulation and knowledge guidance" (Project No.: ZR2016AP12), Principal Investigator, November 2016 – June 2018.
III. Representative Academic Papers
1. Wang, X., Yu, F., Zhang, H., Liu, S., & Wang, J. (2015). Large-scale time series clustering based on fuzzy granulation and collaboration. International Journal of Intelligent Systems, 30(6), 763–780.
2. Wang, X.*, Ning, Y., Moughal, T., & Chen, X. (2015). Adams–Simpson method for solving uncertain differential equation. Applied Mathematics and Computation, 271, 209–219.
3. Wang, X., Yu, F., & Pedrycz, W. (2016). An area-based shape distance measure of time series. Applied Soft Computing, 48, 650–659.
4. Wang, X.*, & Ning, Y. (2017). An uncertain currency model with floating interest rates. Soft Computing, 21(22), 6739–6754.
5. Wang, X.*, & Ning, Y. (2018). Uncertain chance-constrained programming model for project scheduling problem. Journal of the Operational Research Society, 69(3), 384–391.
6. Wang, X.*, & Ning, Y. (2018). Distance measure of uncertain sets and its applications. Journal of Intelligent & Fuzzy Systems, 34(3), 1933–1945.
7. Wang, X., Yu, F., Pedrycz, W., & Yu, L. (2019). Clustering of interval-valued time series of unequal length based on improved dynamic time warping. Expert Systems with Applications, 125, 293–304.
8. Wang, X., Yu, F., Pedrycz, W., & Wang, J. (2019). Hierarchical clustering of unequal-length time series with area-based shape distance. Soft Computing, 23(15), 6331–6343.
9. Wang, X. (2019). Pricing of European currency options with uncertain exchange rate and stochastic interest rates. Discrete Dynamics in Nature and Society, 2019, 2548592.
10. Wang, X.*, Ning, Y., & Peng, Z. (2020). Some results about uncertain differential equations with time-dependent delay. Applied Mathematics and Computation, 366, 124747.
11. Wang, X. (2022). Almost sure and pth moment stability of uncertain differential equations with time-varying delay. Engineering Optimization, 54(2), 185–199
IV. Recruitment Information
I mainly admit postgraduate students specializing in Business Administration (1202, academic degree). I sincerely welcome students who are interested in emergency management, data analysis and intelligent algorithms to join my research team.