8840
btarraf@pmu.edu.sa
F116
Dr. Bachar Tarraf is a Lebanese/French national and a multilingual scholar fluent in English, French, and Arabic. He holds a Ph.D. in Applied Mathematics from Inria Bordeaux Sud-Ouest/University of Bordeaux, France, with a focus on the mathematical modeling of cardiac mitochondrial respiration. Dr. Tarraf joined Prince Mohammad Bin Fahd University (PMU) in Fall 2024. His academic interests include data science, mathematical modeling, machine learning, and the application of quantitative methods to real-world problems in agriculture, climate, and health.
Ph.D. in Applied Mathematics, University of Bordeaux, France / Inria Bordeaux Sud-Ouest
MSc in Fundamental and Applied Mathematics, University of Bordeaux, France
BSc in Mathematics, Lebanese University, Lebanon
Stress Paths of Clean Sand and Sand–Fines Mixtures Under Static and Cyclic Loading
Seif El Dine, B., Jradi, L., Dupla, J.-C., Canou, J., and Tarraf, B.
Transportation Infrastructure Geotechnology, 13(1), 2026
Comparing the Impact of Weather Forecasts, Observations, and Parameterization Uncertainties in Predicting Water Stress in Vineyards
Bachar Tarraf, François Brun, Korgan Aldebert, Christian Debord, Laure Raynaud, Sébastien Roux
Computers and Electronics in Agriculture, August 2025
Assessing the Impact of Weather Forecast Uncertainties on Crop Water Stress Model Predictions
Bachar Tarraf, François Brun, Laure Raynaud, Sébastien Roux, Yulin Zhang, Loïc Davadan, Olivier Deudon
Agricultural and Forest Meteorology, April 2024
A Simple Model of Cardiac Mitochondrial Respiration with Experimental Validation
Bachar Tarraf, Emmanuel Suraniti, Camille Colin, Stéphane Arbault, Philippe Diolez, Michael Leguèbe, Yves Coudière
Mathematical Biosciences and Engineering, June 2021
Machine Learning Regression Models for Predicting Annual Vegetation Indices Using Weather and Soil Data
(6 pages + oral presentation)
MAIDSS 2026 – Modern Artificial Intelligence & Data Science Systems,
Mohammed V University in Rabat, Faculty of Science, Morocco (accepted, to appear)
Global Sensitivity Analysis of Uncertain Parameters in a Cardiac Mitochondrial Model
(4 pages + oral presentation)
Computing in Cardiology (CinC 2020), September 2020, Rimini / Virtual, Italy
Sensitivity Analysis of a Simplified Cardiac Mitochondrial Model
(2-page abstract + poster)
VPH 2020 – International Conference on the Virtual Physiological Human,
August 2020, Paris / Virtual, France
Thermodynamical Fluxes for Modeling Cardiac Mitochondrial Calcium Handling
(4 pages + oral presentation)
Computing in Cardiology (CinC 2019), September 2019, Singapore
Assessing the Impact of Weather Forecast Uncertainties
UEF 2023, Reading, United Kingdom
https://vimeo.com/833978627/3ecdef24fe
Dynamical Behaviour of a Stage-Structured Predator–Prey Model for Multispecies Demography
MMEE – Mathematical Models in Ecology and Evolution, July 2019, Lyon, France
A Cardiac Mitochondrial Model Validated Against Oxygen Consumption Using Global Sensitivity Analysis
Congrès d’Analyses Numériques pour les Jeunes, 2020
Assistant Professor, PMU
Data Scientist, ARVALIS - Institute of Plant, France
Research on agricultural adaptation to climate change
Postdoctoral Research Engineer, ACTA (French Agricultural Technical Institutes) / Météo France (CNRM)
Meteorological uncertainty analysis for irrigation management models
Assistant Professor / University Lecturer, University of Bordeaux, France
Taught undergraduate and graduate courses in mathematics
At Prince Mohammad Bin Fahd University (PMU):
Calculus I
Calculus II
Calculus III
ODE
Finite Maths for Students of Business
Others:
Probability and Statistics
Sequences and Series
Ordinary Differential Equations (ODE)
Complex Numbers
Linear Algebra
