Issa Zakeri's research areas include time series analysis, longitudinal data analysis, multivariate statistical analysis, sequential analysis, stochastic modeling and their applications to scientific problems. His primary area of applied research over the last six years has been in the application of statistical methods to behavioral, biological and medical sciences, in particular in the areas of 1) nutrimetrics—the application of statistical methods to problems in nutrition. The goal is to advance, develop and apply more accurate and computationally flexible statistical techniques to analyze and understand better many complex problems in nutrition, in particular behavioral nutrition; and 2) stochastic modeling and prediction of energy expenditure in children and adolescents. The research programs involve theoretical studies as well as computational methods in many branches of statistics, particularly analysis of high-dimensional and longitudinal data.
Research Interests: Time series analysis; longitudinal data analysis; multivariate analysis; sequential analysis; stochastic modeling; application of statistics to behavioral, biological, and medical sciences.
:: Curriculum Vitae (PDF)
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