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Photo Enseignant

Rami HADDAD (EL)

Enseignant Cadré - Professeur associé - Ph.D. in Mathematics

Faculty of Science (FS)
Center for Research and Analysis (CAR)

(+961) 1 421 000 ext 3372 rami.haddad@usj.edu.lb

I am an Associate Professor of Mathematics at the Faculty of Science at Saint Joseph University of Beirut (USJ). From 2012 to 2019, I served as Chairperson of the Department of Mathematics, during which time I established both a Bachelor's and a Master's degree in Data Science. Currently, I coordinate the Master’s degree in Actuarial Science and Finance. Since May 2024, I also serve as the Director of the Center of Statistics at the Vice-Rectorate for Research at USJ.


• Mathematics
• Partial Differential Equations, Numerical Analysis
• Pure Mathematics

Probability Computation

Probability for Data Science

Inductive Statistics

Integration and Measure Theory

Probability Theory

Inferential Statistics

Stochastic Calculus

Engineering and Technology, Sciences

My research focuses on numerical probabilities and 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, and 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.

  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 and prediction with tunable sparsity; evaluation on simulated and 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, 51--62 (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, 51--62 (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. L'Ecuyer, 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).


Formations et Certifications

  • ·         Formation "Lutte contre le harcèlement sexuel" (CFP – USJ)
  • ·         Formation "Writing for Research and Publication” (U.S. Embassy in Beirut & USJ)
  • ·         Atelier "English Medium for Instruction Training” (USJ)         
  • ·         Séminaires sur la "Gouvernance et la subsidiarité" et "Les questions environnementales dans la perspective de Laudato Si" (VRRI – USJ)
  • ·         Conférence sur les "Inégalités, les solidarités et l’inclusion" (VRRI – USJ)
  • ·         Session de formation en "Cultiver l’art de la présence pédagogique avec Saint Ignace" (CFP – USJ)
  • ·         Coaching sur les méthodes d’enseignement actif (MPU – USJ)Formation sur l’utilisation des outils numériques dans l'enseignement (MPU – USJ)

Projets de Recherche (achevés ou en cours) : 5 projets

Participations à des conférences : 13

Publications : 13 articles

Membre de Comités ou Groupes de Travail :

  • ·         Membre du Comité « Programme de Formation Générale » (VRAA – USJ)         
  • ·         Membre du Comité de l’Examen Jésuite (USJ)
  • ·         Membre du Comité Pédagogique (FS - USJ)
  • ·         Membre du Comité Numérique (FS - USJ)
  • ·         Membre du Comité Assurance Qualité (FS - USJ)

 Mentorat et encadrement :

  • ·         Encadrement de trois étudiants en thèse de doctorat       
  • ·         Co-encadrement de trois autres étudiants en thèse de doctorat
  • ·         Encadrement de cinq mémoires d'études d'étudiants en deuxième année de master
  • ·         Suivi pédagogique des étudiants du Master en Sciences Actuarielle et Financière