(+961) 1 421 000 ext 3337 youssef.bakouny@usj.edu.lb
Youssef Bakouny is an Assistant Professor (“Maîtres de Conferences”) at École Supérieure d'Ingénieurs de Beyrouth (ESIB) of Saint-Joseph University of Beirut (USJ), where he specializes in Machine Learning (ML), Artificial Intelligence (AI), and Software Engineering (SE). He graduated as the top student in 2012 with a Computer and Communications Engineering (CCE) degree from USJ, followed by PhD in Software Engineering between 2015 and 2019. Between 2012 and 2015, Youssef was employed by Murex as a software engineer working on a critical real-time distributed computing framework.Before assuming his current full-time role, Youssef was a part-time lecturer at USJ from 2015 to 2021. For the benefit of his students, Youssef obtained, during this period, a university diploma in pedagogy in higher education in 2017. As an Assistant Professor since 2021 at ESIB, he teaches CCE and Master’s in AI students and coordinates the Master’s in AI and the AI University Diploma programs. He collaborates on various research projects with partners like Murex, Hotel-Dieu de France (HDF), American University of Beirut Medical Center (AUBMC), IDEALworks (BMW Group), INRIA, IRD, CNRS, CESBIO, Grenoble Alpes University, Lille University, Mines Paris and Sorbonne University. He is currently supervising several doctoral theses on topics such as UI test automation using computer vision and image annotation refinement.
Degrees | University | Country | Year |
---|---|---|---|
Computer and Communications Engineering - Software Engineering Option | Saint Joseph University of Beyrouth | Lebanon | 2024 |
Computer and Communications Engineering Doctorate | Saint Joseph University of Beyrouth | Lebanon | 2019 |
Pedagogical Practices University Diploma | Saint Joseph University of Beyrouth | Lebanon | 2017 |
Teaching activities involve machine learning, artificial intelligence and programming paradigms (OOP and FP) for USJ students enrolled in the computer & communications engineering, master’s in data science and master’s in artificial intelligence curriculums.
Professional Experience | Organization | Start date | End date |
---|---|---|---|
Software Engineer - full time | Murex | 12/07/2012 | 30/11/2015 |
Software Engineer - part time | Murex | 26/10/2011 | 11/07/2012 |
Engineering and Technology, Sciences
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Kaouk, N., Amer, L.,
Yaacoub, T., Bakouny, Y., Hajjar, C., Khatounian, F., Amara, J., Slim, R.,
Mansour, A. & Yaghi, C. (2023). “Detecting Patient Readiness for
Colonoscopy through Bowel Image Analysis: A Machine Learning Approach”.
International Conference on Applications in Electronics Pervading Industry,
Environment and Society; Genova, Italy, Sept. 2023.
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Sokhn, M., Bakouny,
Y. & Ibrahim, M. (2023). "Student Learning compass: an interactive
platform for learners’ skills’ acquisition". International Conference on
Intelligent Systems and New Applications; Liverpool, United Kingdom, April
2023.
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Cornou, C., Drapeau,
L., Bakouny, Y., Lahoud, S., Polikovitch, A., Abdallah, C., Abou Chakra, C.,
Afif, C., Al Bitar, A., Cartier, S., Fanice, P., Fenianos, J., Guillier, B., Khater,
C., and Khoury, G. & the SMOAG Team (2022). “Seismic and air monitoring
observatory for greater Beirut : a citizen observatory of the ‘urban health’ of
Beirut”. EGU General Assembly, Vienna, Austria, 23–27 May 2022, EGU22-7164, https://doi.org/10.5194/egusphere-egu22-7164.
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Youssef El Bakouny
and Dani Mezher. 2018. Scallina: Translating Verified Programs from Coq to
Scala. In: Ryu S. (eds) Programming Languages and Systems. APLAS 2018. Lecture
Notes in Computer Science, vol 11275. Springer, Cham. 7 pages.
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Youssef El Bakouny and Dani
Mezher. 2018. The Scallina Grammar. In: Massoni T., Mousavi M. (eds) Formal
Methods: Foundations and Applications. SBMF 2018. Lecture Notes in Computer
Science, vol 11254. Springer, Cham. 18 pages.
• Prix du meilleur poster dans le domaine de l'ingénierie lors des 9ème journées de la recherche à l'USJ.
• Major de la promotion 2012 au niveau du département électricité et mécanique de l'ESIB.
Inscrit à plusieurs cours d'apprentissage automatique sur Pluralsight, Coursera et DeepLearning.ai. Lecture de "Stuart Russell et Peter Norvig, Artificial Intelligence: A Modern Approach, 4e édition, 2020" et "Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow, troisième édition. Aurélie Géron. O’Reilly, 2022"