Faculty Research - Probability and Statistics

Emad El-Neweihi (Emeritus), Ph.D. Florida State University, 1973. Applied probability models; reliability theory; stochastic ordering; optimal replacement and repair models.
Nasrollah Etemadi (Emeritus), Ph.D. University of Minnesota, 1974. Probability theory; stochastic processes; statistics.
Kyunghee Han, Ph.D. Seoul National University, 2017. Non- and semi-parametric estimation, errors-in-variables problems, functional data analysis, shape-constrained inference, two-phase analysis.
Samad Hedayat (Emeritus), Ph.D. Cornell University, 1969. Developing statistical theory and methodology for: design and analyses of experiments, medical and pharmaceutical studies, environmental studies, forensic investigations, data safety and monitoring activities, and survey sampling.
Vishesh Jain, Ph.D. Massachusetts Institute of Technology, 2020. High dimensional probability, randomized algorithms, probabilistic combinatorics.
Dibyen Majumdar, Ph.D. Indian Statistical Institute, 1981. Design of experiments; theory and methodology of linear and nonlinear models; applications of statistics in biomedical research, especially on the design and analysis of clinical trials. .
Marcus Michelen, Ph.D. University of Pennsylvania, 2019. Probability and Combinatorics.
Klaus Miescke (Emeritus), Ph.D. University of Heidelberg, 1972. Mathematical statistics; decision theory; selection procedures.
Cheng Ouyang, Ph.D. Northwestern University, 2009. Probability theory and Stochastic analysis: diffusions and differential geometry, rough paths theory, SPDEs.
Jennifer Pajda-De La O, Ph.D. University of Illinois at Chicago, 2016. Probability, Survey Sampling.
T.E.S. Raghavan (Emeritus), Ph.D. Indian Statistical Institute, 1966. Game theory; linear, non-linear programming; matrix theory; applied statistics; operations research.
Liet Vo, Ph.D. University of Tennesse, 2022. Numerical analysis and scientific computing. Computational electromagnetics. Stochastic PDEs.
Jing Wang, Ph.D. Michigan State University, 2006. Non- and Semi-parametric smoothing Methods, polynomial spline and kernel smoothing, generalized linear/additive models.
Yichao Wu, Ph.D. University of North Carolina at Chapel Hill, 2006. Machine Learning, High Dimensional Data Analysis, Functional Data Analysis.
Min Yang, Ph.D. University of Illinois at Chicago, 2002. Design and analysis of experiment, medical and pharmaceutical studies, subdata selection.
Jie Yang, Ph.D. University of Chicago, 2006. Categorical Data Analysis, Experimental Design, Bioinformatics, Biostatistics, Dimension Reduction, and Financial Mathematics.
Ping-Shou Zhong, Ph.D. Iowa State University, 2011. High dimensional statistical inference. Statistical analysis for longitudinal and functional data. Empirical likelihood method. Nonparametric smoothing methods. Missing data problems. Applications in biomedical data.
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