Dr. Sayed Mostafa is an Assistant Professor of Statistics in the Department of Mathematics & Statistics at North Carolina A&T State University (NCA&T). He received his B.S. in Statistics from Cairo University in 2010, and his M.S. and Ph.D. from Oklahoma State University in 2016. Before joining NCA&T in the Fall of 2018, he spent two years as a Visiting Assistant Professor in the Department of Statistics at Indiana University-Bloomington. His research interests are focused on the design and analysis of sample surveys, nonparametric curve estimation, modeling of the impacts of environmental pollutants and viruses on cardiovascular health, and statistics and data science education. His research is supported by grants from the U.S. National Science Foundation and the National Institutes of Health. He served as a reviewer on multiple NSF review panels and as a referee for many academic journals including the Canadian Journal of Statistics, the Journal of Statistical Computation and Simulation, and the ASA’s Journal of Statistics & Data Science Education.
First Name
Sayed
Last Name
Mostafa
Email
sabdelmegeed@ncat.edu
Research Focus
Dr. Mostafa’s methodological research is at the intersection of survey sampling and nonparametric estimation. Currently, his research group works on 1) developing methods for efficient statistical inference by integrating data from probability surveys with big, potentially high-dimensional, nonprobabilistic data, 2) studying model-assisted survey estimation methods from randomized response data, and 3) investigating the impacts of data perturbation for privacy protection on the predictive performance of various machine learning techniques. Dr. Mostafa’s applied research focuses on using machine learning techniques (e.g., Bayesian Kernel Machine Regression) to evaluate the impacts of exposure to mixtures of environmental pollutants on cardiovascular health and mortality. His STEM education research efforts focus on enhancing the statistics and data science curriculum to better prepare students, especially from underrepresented minorities, for the rapidly changing data-driven workplace.
Profile Picture
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Title
Dr.
Role
Affiliate Investigator