French
Arabic
Rami HADDAD (EL)
Associate Professor
Chef de département - Mathématiques
-
Faculty of Science
Center for Statistics
Directeur
Faculty of Religious Sciences
+961 (1) 421 000 ext 5541 rami.haddad@usj.edu.lb
Rami El Haddad is an Associate Professor of Mathematics at the Faculty of Science at Saint Joseph University of Beirut (USJ). From 2012 to 2019, he served as Chairperson of the Department of Mathematics, during which he established a Bachelors a Masters degree in Data Science.
He currently coordinates the Master’s program in Actuarial Science Finance.
Since May 2024, he serves as the Director of the Center of Statistics at the Vice-Rectorate for Research at USJ.
Education
| Degree | University | Country | Year |
|---|---|---|---|
| Doctorat - Mathématiques appliquées | Université Saint-Joseph de Beyrouth | Liban | 2008 |
| D.E.A - Equations aux dérivées partielles, analyse numérique | Ecole normale supérieure de Cachan | France | 2004 |
| Maitrise - Mathématiques | Université Libanaise | Liban | 2003 |
Research themes
My research focuses on numerical probabilities stochastic simulations, with a particular interest in Monte Carlo methods. These methods are essential for solving complex problems in various fields such as finance, engineering, physical sciences by enabl
Publications and communications
1. L. Alsouki, L. Duval, C. Marteau, R. Haddad, F. Wahl. Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection prediction with tunable sparsity evaluation on simulated near-infrared (NIR) data. Chemometrics and Intelligent Laboratory Systems, Volume 237, (2023).
2. C. Lécot, P. L’Ecuyer, R. El Haddad, A. Tarhini. Quasi-Monte Carlo simulation of coagulation-fragmentation. Mathematics and Computers in Simulation, Volume 135, 5162 (2019).
3. R. Fakhereddine, R. El Haddad, C. Lécot, J. El Maalouf. Stratified Monte Carlo simulation of Markov chains. Mathematics and Computers in Simulation, Volume 135, 5162 (2017).
4. R. El Haddad, C. Lécot and G. Venkiteswaran. Diffusion in a nonhomogeneous medium: quasi-random walk on a lattice. Monte Carlo Methods and Applications, Volume 16, 211--230, (2010).
5. R. El Haddad, C. Lécot, P. LEcuyer, and N. Nassif. Quasi-Monte Carlo methods for Markov chains with continuous multi-dimensional state space. Mathematics and Computers in Simulation, Volume 81, 560--567, (2010).