(+961) 1 421 000 ext johny.matar@usj.edu.lb
Johny Matar is an assistant professor in the School of Engineering of Beirut of the Saint-Joseph University. He got his PhD in computer science from Université Bourgogne Franche-comté, his Master degree in computer science from American University of Culture Education, his applied math diploma, option: computer science from the Lebanese University.
Highest degree : PhD in Computer Science - Université de Franche-Comté [France]
Degrees | University | Country | Year |
---|---|---|---|
PhD in Computer Science | Université de Franche-Comté | France | 2021 |
Experience in University Teaching Outside USJ | Country | Institution | Start Date | End Date |
---|---|---|---|---|
Assistant Teacher | Lebanon | Université Antonine (UA) | 10/01/2022 | |
Assistant Teacher | Lebanon | Université Libanaise (UL) | 16/12/2021 | |
Laboratory assistant | Lebanon | Université Libanaise (UL) | 05/01/2009 | 15/12/2021 |
Professional Experience | Organization | Start date | End date |
---|---|---|---|
IT and email administrator | Lebanese University (UL) | 05/01/2009 | 15/12/2021 |
Engineering and Technology, Sciences
Clustering techniques Machine learning Bioinformatics Networking
[J3] Matar, J., El Khoury, H., Charr, JC., Guyeux, C., & Chrétien, S. (2025). Biological Sequence Clustering: Novel Approaches a Comparative Study. SN COMPUT. SCI. 6, 369. DOI: 10.1007/s42979025039056
[J2] Matar, J., El Khoury, H., Charr, JC., Guyeux, C., & Chrétien, S. (2024). Optimized Spectral Clustering Methods for Potentially Divergent Biological Sequences. Scientific Inquiry Review (SIR), Vol. 8, No.3. pp. 5887. DOI: 10.32350/sir.83.03
[J1] Matar, J., El Khoury, H., Charr, JC., Guyeux, C., & Chrétien, S. (2019). SpCLUST: Towards a fast and reliable clustering for potentially divergent biological sequences. Computers in Biology and Medicine, 114, 103439. DOI: 10.1016/j.compbiomed.2019.103439
[C3] Matar, J., & El Khoury, H., Charr, JC., & Guyeux, C. (2025). Revisiting spectral clustering: assessments and extended capabilities. Proceedings of 2025 5th IEEE Middle East and North Africa Communications Conference (MENACOMM), Byblos, Lebanon: February 2022, 2025. IEEE Xplore 2025, pp. 16. DOI: 10.1109/MENACOMM62946.2025.10911002
[C2] Matar, J., & El Khoury, H., Charr, JC., & Guyeux, C. (2021). Impact of eigensolvers on spectral clustering. Proceedings of 2021 3rd IEEE Middle East and North Africa COMMunications Conference (MENACOMM 2021), Agadir, Morocco: December 0305, 2021. IEEE Xplore 2021, pp. 4953. DOI: 10.1109/MENACOMM50742.2021.9678223