French
Arabic
Rami HADDAD (EL)
Associate Professor
Center for Statistics
professeur associé
Faculty of Science
Chef de département Mathématiques - Directeur Centre de statistiques
Faculty of Religious Sciences
Chargé de Cours
Institute of Psychomotor Therapy
Chargé de Cours
01/421 000 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 |
|---|---|---|---|
| Mathematics | Université de Savoie | France | 2008 |
| Partial Differential Equations, Numerical Analysis | Saint Joseph University of Beyrouth | Lebanon | 2004 |
| Pure Mathematics | Université Libanaise (UL) | Lebanon | 2003 |
Teaching at USJ
Probability Computation
Probability for Data Science
Inductive Stat
University teaching outside USJ
| University teaching outside USJ | Country | Institution | Start date | End date |
|---|---|---|---|---|
| Part-time lecturer | Lebanon | American University of Beirut (AUB) | 07/06/2021 | |
| Temporary Teaching and Research Associate | France | Université du Maine | 01/09/2007 | 31/08/2008 |
| Part-time lecturer | France | Université de Savoie | 01/09/2006 | 31/08/2007 |
Professional experience outside USJ
| Professional experience | Organisation | Start date | End date |
|---|---|---|---|
| Visiting scholar (researcher) | Université de Lille | 18/09/2023 | 20/10/2023 |
| Visiting scholar (researcher) | Université de Lille | 28/09/2021 | 19/12/2021 |
Areas of expertise
Engineering and Technology, Sciences
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 enabling precise estimations through random modeling and simulation techniques. My work contributes to the improvement of Monte Carlo algorithms, thereby optimizing their efficiency and applications.
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).
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).