Many of the courses of interest to students in the program are in probability, most often taught by members of the Center for Applied Probability. The Statistics faculty is among the most prestige in the nation, receiving numerous grants from the National Science Foundation and from companies. Faculty members include: Kobi Abayomi - Statistics/Measures of Association and Dependence, (Fixed Marginal) Multivariate Distributions, Environmental Statistics, Environmental Economics. Nagi Gebraeel - Sensor-Based Prognostics, Degradation Modeling, and Engineering Reliability Dave Goldsman - Comparisons via stochastic simulation; Statistical ranking and selection Xiaoming Huo - Multiscale statistical methods, data mining. Paul Kvam - Reliability; Applied engineering statistics; Nonparametric estimation JC Lu - Statistics for manufacturing; Reliability; Degradation modeling Yajun Mei - Change-Point problems, sequential analysis, sensor networks, biostatistics Nicoleta Serban - Analysis of multiple curves and analysis of multiple peaks Alex Shapiro - Mathematical programming and statistics; Sensitivity analysis Kwok Tsui - Statistical quality control including SPC, design of experiments, Taguchi Method Roshan Joseph Vengazhiyil - robust parameter design, process control Brani Vidakovic - Multiscale methods, statistical methods in geophysics, turbulence, bayesian decision theory Jeff Wu - Design and analysis of experiments, quality engineering, product/process improvement, bioinformatics MingYuan - Statistical learning, bioinformatics, methods of regularization The department of Mathematics has a joint M.S. program in statistics with ISyE. Faculty members in math whose primary research interests are in statistics include Serge Guillas, Vladimir I. Koltchinskii, and Liang Peng. The Industrial and Technology Statistics Group is a part of the Industrial and Systems Engineering School at the Georgia Institute of Technology. Please contact the statistics group with questions or comments about the web site or its contents.