About
Dr. Masoud Ataei is a faculty member at the Department of Mathematical and Computational Sciences, University of Toronto Mississauga. He specializes in time series analysis, statistical learning and combinatorial optimization. Dr. Ataei obtained his Ph.D. in Mathematics & Statistics from York University.
Research
- Integer, Semidefinite & Conic Optimzation Models for Interpretable Artificial Intelligence
- Econometrics, Econophysics, and Non-stationary Spatiotemporal Time Series Analysis
- Tensor Algebra, Decomposition & Regression Methods, and Tensor Low-rank Learning
Publications
- Ataei, Masoud, and Xiaogang Wang. "Derangetropy in Probability Distributions and Information Dynamics." Entropy 26.11 (2024): 996.
- Ataei, Masoud, and Xiaogang Wang. "Theory of Lehmer transform and its applications in identifying the electroencephalographic signature of major depressive disorder." Scientific Reports 12, no. 1 (2022): 1-15.
- Ataei, Masoud, Shengyuan Chen, Zijiang Yang, and M. Reza Peyghami. "Theory and applications of financial chaos index." Physica A: Statistical Mechanics and Its Applications 580 (2021): 126160.
- Ataei, Masoud, Shengyuan Chen, Zijiang Yang, and M. Reza Peyghami. "Time-homogeneous top-K ranking using tensor decompositions." Optimization Methods and Software 35, no. 6 (2020): 1119–1143.
Teaching
- STA107H5: Probability and Modelling
- STA256H5: Probability Theory
- STA260H5: Mathematical Statistics
- STA314H5: Statistical Learning
- CSCC11H3: Machine Learning
- STA457H5: Time Series Analysis
Contact
Email: masoud.ataei@utoronto.ca