Hamdy Mahmoud

Hamdy Mahmoud is a Collegiate Assistant Professor at Virginia Tech's Department of Statistics within the College of Science. He also serves as an Assistant Professor at Assiut University in Egypt. His academic journey includes a Ph.D. in Statistics from Virginia Tech (2014) under Inyoung Kim, an M.S. in Statistics from both Virginia Tech (2010) and Cairo University (2005), and a B.S. in Statistics from Cairo University (1996).

His research focuses on semi/nonparametric regression models, change point detection, environmental statistics, and spatial/spatio-temporal analysis. Notable contributions include applications in environmental health and cardiovascular mortality studies. He has published extensively in journals like Computational Statistics & Data Analysis and Environmental Metrics.

Teaching highlights include courses such as Applied Bayesian Statistics and Statistical Methods I/II at Virginia Tech. He has received awards including the Jesse C. Arnold Teaching Excellence Award (2012-2013) and induction into the Mu Sigma Rho Honor Society (2011). His work bridges statistical theory and practical applications in health sciences and environmental studies.

• Professional Memberships: American Statistical Association (ASA), International Biometric Society (ENAR)
• Recent Awards: Travel Fund Award (2014), Teaching Excellence nominations (2014)

Dr. Mahmoud’s research trends emphasize robust statistical methods and their environmental and medical applications. His publications often address complex data structures through semi/nonparametric frameworks, with a focus on change point analysis and spatial-temporal modeling.