Rate My Professor Omar El Dakkak

His research specializations are in Discrete Probability and Empirical Processes, key to complex networks and statistical learning. He is a permanent researcher at Sorbonne University Abu Dhabi's Center for Applied Mathematics, Statistics and Data Science and Center for Artificial Intelligence and Digital Policy. Key publications include 'Exchangeable Hoeffding decompositions over finite sets: a combinatorial characterization and counterexamples' with Giovanni Peccati and Igor Prünster (Journal of Multivariate Analysis, 2014), 'Combinatorial method for bandwidth selection in wind speed kernel density estimation' with Samuel Feng et al. (IET Renewable Power Generation, 2019), 'Hoeffding decompositions and urn sequences' (2008), 'Strong approximations for the general bootstrap of empirical processes with applications in selected topics of nonparametric statistics' with Salim Bouzebda (Annales de l'ISUP, 2019), 'Limit Behavior of Sequential Empirical Measure Processes' (2012), and 'Power-law correction in the probability density function of the critical Ising magnetization' with Federico Camia and Giovanni Peccati (2025).