معرفی
Magda Peligrad is the Charles Phelps Taft Professor in the Department of Mathematical Sciences at the University of Cincinnati. She specializes in probability theory and stochastic processes, particularly limit theorems for dependent structures. Her research has been continuously supported by NSF and NSA grants since 1996.
Education:
- Ph.D. from Center of Statistics of the Roumanian Academy of Science (1981)
Her research focuses on modeling dependence structures through martingale approximation techniques and spectral analysis of stochastic processes. This work bridges probability theory, statistics, and ergodic theory, with applications to random matrix theory and Gaussian approximations.
Her publications demonstrate consistent focus on limit theorems, Markov processes, and dependence structures across random fields. Recent work emphasizes non-stationary systems and refined convergence rates for complex stochastic systems.
Major Awards:
- Fellow of Institute of Mathematical Statistics (1995)
- Distinguished Research Taft Professor (2003)
- University of Cincinnati Graduate Fellow (2017)
As primary advisor, she has guided 8 PhD students and hosted 2 postdoctoral researchers. Current grant support includes NSF funding for 'Asymptotic results for stochastic processes via new projective methods' (2021-2024).
