Chantal SAAD HAJJAR

Associate Professor

School of Engineering of Beirut
Chef de département informatique et communication

+961 (1) 421 000 ext 3339 chantal.hajjar@usj.edu.lb

Graduating as an electrical engineer with a specialization in computer science from ESIB in 1993, I began my career as a system engineer at Integro, a French company specializing in software production, where I worked from 1993 to 1996. In 1997, I joined the Zahlé and Bekaa Campus (CZB) of USJ as a teaching assistant.In 2008, I obtained a Master's degree in modeling and computer simulation. From 2011 to 2014, I conducted doctoral research in computer engineering at Supélec, resulting in my doctoral thesis and my promotion to assistant professor. In 2016, I contributed to the creation of the ESIB branch at CZB and served as its coordinator until July 2022. From April 2021 to April 2022, I held the position of interim director of CZB.Since September 2022, I have been part of ESIB, where I have been appointed coordinator of the computer engineering and communications program. Additionally, since January 2023, I have held the position of deputy director of the ESIB preparatory classes.


Education

Degree University Country Year
PhD degree in Computer Engineering Ecole supérieure d'électricité France 2014
Master's degree in Computer Simulation and Modeling Université Libanaise (UL) Lebanon 2007
Bachelor of Engineering in Electricity - Computer option Saint Joseph University of Beyrouth Lebanon 1993

Teaching at USJ

Artificial Intelligence
Object-Oriented Programming with C++
Programming 2 (Python)
Programming 3 (Advanced Python)
Unix System Administration

Professional experience outside USJ

Professional experience Organisation Start date End date
System Engineer Integro Middle East 01/06/1993 09/01/1996

Areas of expertise

Engineering and Technology, Sciences

Research themes

Artifical Intelligence
Machine Learning
Computer Vision
Self-organzing maps

Publications and communications

Kaok, 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 ImageAnalysis: A Machine Learning Approach”. International Conference onApplications in Electronics Pervading Industry, Environment and Society.

Hajjar, C., Ghattas, G. Kharrat Sarkis, M. Chamoun,Y. (2021). “Vine identification and characterization in goblet-trainedvineyards using remotely sensed images”. Remote Sensing, Vol 13, Issue 15.

Saad Hajjar, C., Hajjar, C. Esta, M., GhorraChamoun Y. (2020). Machinelearning methods for soil moisture prediction in vineyards using digitalimages”. E3S Web of Conferences, 167 02004.

C. Hajjar, H. Hamdan.(2013). Interval Data Clustering using Self-Organizing Maps based onMahalanobis Distances, Neural Networks Vol 46, P.124-132

C. Hajjar, H. Hamdan. (2012). Clustering of Interval Data using Self-Organizing Maps - Application to meteorological data, Applied Computational Intelligence in Engineering and Information Technology - Series Topics in Intelligent Engineering and Informatics - Springer Verlag, p. 135-146.