OM ESSAAD SLAMA

Computer Science, Artificial Intelligence

I taught:

• Operating systems

• Network architecture

• Information systems and database design

• Processor architecture

• Algorithms and programming in C and Python

• Compilation

• Application development with graphical user interfaces (GUIs)

• Software development quality.

Career

• Temporary Lecturer and Research Assistant (ATER) in computer science

  • Grenoble Alpes University , Since 2024

  • LCIS Laboratory, CTSYS team.

  • IUT de Valence, computer science department

  • ESISAR de Valence, computer science department

• Lecturer and Research Assistant

  • IRESCOMATH Laboratory, Gabes, Tunisia, 2019-2024

  • Higher Institute of Computer Science and Multimedia, Gabes, Tunisia, 2021-2023 and 2010-2014

  • Faculty of Economics and Management, Sfax, Tunisia, 2008-2009

Education

• ? PhD Electrical Engineering - National Engineering School of Gabes, Tunisia

  • 2024, Enhancing Data Privacy and Security in Vehicular Ad Hoc Networks (VANETs)

  ? Master’s Degree – Computer science - Faculty of Economics and Management, Sfax, Tunisia

  • 2010, Information Systems and New Technologies (SINT), Dependability Analysis of a Networked Control System over a Wireless Network using MATLAB/TrueTime

Academic Service

• Reviewer:

  • International conference on Control, Decision and Information Technologies (CoDIT)

Journals

1. Slama, O., Tarhouni, M., Zidi, S. and Alaya, B., 2023. One Versus All Binary Tree Method to Classify Misbehaviors in Imbalanced VeReMi Dataset. IEEE Access, 11, pp.135944-135958. DOI: 10.1109/ACCESS.2023.3337378

2. Omessaad Slama, Walid Dhifallah, Salah Zidi, Jaime Lloret, Bechir Alaya, Mounira Tarhouni, 2025, Blockchain-based Privacy-Preserving Technology to Secure Data Sharing in vehicular communication, Int. J. of Communication Networks and Distributed Systems, pp 346-371, https://doi.org/10.1504/IJCNDS.2025.145910

3. Slama, O., Alaya, B., & Zidi, S. (2022). Towards Misbehavior Intelligent Detection Using Guided Machine Learning in Vehicular Ad-hoc Networks (VANET), Inteligencia Artificial,25(70),138-154, DOI: https://doi.org/10.4114/intartif.vol25iss70pp138-154

4. F. Charfi, Oumsaad Slama, Jean-Marc Thiriet, Suzanne Lesecq. Improving the control performance in Wireless Network Controlled Systems, using the beacon mode. Journal of Telecommunications, 2010, 3 (1), pp.72-78. ⟨hal-00529432⟩

Conferences

O. Slama, B. Alaya, S. Zidi and M. Tarhouni,"Comparative Study of Misbehavior Detection System for Classifying misbehaviors on VANET,"2022 8th International Conference on Control,Decision and Information Technologies (CoDIT),2022, pp. 243-248, doi:10.1109/CoDIT55151.2022.9803978.

Datasets

Oumsaad, Slama; Tarhouni, Mounira; zidi, salah; Alaya, Bechir (2023), “VeReMi_Extension: Dataset for Misbehaviors in VANETs”, Mendeley Data, V1, doi: https://data.mendeley.com/datasets/k62n4z9gdz/1

Full Publications List

https://www.researchgate.net/profile/Omessaad-Slama