Mehrdad Naderi

Mehrdad Naderi is a Lecturer in Statistics at the Department of Mathematics, Physics, and Electrical Engineering, Northumbria University. His academic journey includes a PhD in Mathematical Statistics from Shahid Bahonar University of Kerman (2017) and postdoctoral research at National Chung Hsing University (Taiwan), Ferdowsi University of Mashhad (Iran), and University of Pretoria (South Africa).

• Education: PhD in Mathematical Statistics, Shahid Bahonar University of Kerman (2017)

His research focuses on applied statistical inference with emphasis on classification, cluster analysis, factor analysis, finite mixture models, and EM algorithm for robust estimation. He has contributed to multivariate and matrix-variate analysis, particularly in handling outliers and asymmetrical data structures.

Recent work includes three-way data clustering using matrix-variate normal distributions and robust Bayesian inference for censored mixture models. His publications demonstrate expertise in distribution theory, statistical computation, and applications to financial data, environmental modeling, and astrophysics.

Current collaborations span multiple institutions, focusing on heavy-tailed distributions and computational methods for complex data structures.