With a distinguished career in teaching and research, I have accumulated significant expertise in a diverse range of fields such as software architecture, data analysis, uncertainty and sensitivity analysis. My teaching expertise extends to guiding students in mastering software development and safety, as well as equipping them with the tools for effective risk analysis.  Additionally, I've had a successful career in training, especially in agile methods. Furthermore, I have shared my expertise as a speaker on various television programs dedicated to computer science, making complex topics accessible to a wider audience. I have authored several articles, sharing my insights and research findings in prestigious publications.

Selected Publications:

1. EL SAFADI, O.Adrot and J-M Flaus. “Advanced Monte Carlo Method for model uncertainty propagation in risk assessment”. The 2015 IFAC/IEEE/IFIP/IFORS Symposium on Information Control in Manufacturing (INCOM 2015), Ottawa, Canada.
2. EL SAFADI, O. Adrot and J-M Flaus. “Advanced Interval based Monte Carlo Method for atmospheric dispersion model in risk assessment”. The annual European Safety and Reliability Conference (ESREL 2015), Zurich, Switzerland.
3. EL SAFADI, O. Adrot and J-M Flaus. “A Comparison of interval and Monte Carlo simulation for uncertainty propagation in atmospheric dispersion model”. The World Congress in Computer Science, Computer Engineering, and Applied Computing (WorldComp’14), ISBN: 1-60132-266-6, 2014, Las Vegas, USA.
4. EL SAFADI, O. Adrot and J-M Flaus. “A new supervision tool for the risk assessment of DGT (Dangerous Goods Transportation) in case of toxic gas dispersion”. The 23^rd International Scientific Conference of LAAS ,6-7 April 2017, Beirut, Lebanon
5. Amayri, S. Ploix,H. Kazmi,Q-D Ngo,and A. EL Safadi. “Estimating Occupancy from Measurements and Knowledge Using the Bayesian Network for Energy Management”, Journal of Sensors, Volume 2019.
6. Amayri, Q-D Ngo, A. EL SAFADI and S. Ploix . “Bayesian Network and Hidden Markov Model for Estimating occupancy from measurements and knowledge”. The 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS’2017), Romania.
7. Hijazi, A. EL SAFADI and J-M Flaus . “A Deep Learning Approach for Intrusion Detection System in Industry Network”. The first international conference on Big Data and Cybersecurity intelligence (BDCS Intell’ 2018), Beirut-Lebanon
8. Awada, P. Reignier, S. Ploix, M. Jacomino and A. El Safadi. “Identification collaborative d’activités dans une zone habitée”. Conférence Francophone de l’International Building Performance Simulation Association (IBPSA 2020), Reims, France