Dr. Farah Jemili PhD
Associate Professor, Higher Institute Of Computer Science And Telecom (ISITCom) ORCID: 0000-0001-7511-1221 · Tunisia
Editorial leadership for Journal of Big Data Research ISSN 2768-0207
Research interests
- Artificial Intelligence
- Deep Learning Cyber Security
- Intrusion Detection Systems (Ids) Big Data Analysis
- Distributed Systems Uncertainty Analysis
- Bayesian Inference Iot Security
- Blockchain Technology
Biography
Dr. Farah Jemili is a seasoned Associate Professor and researcher specializing in the convergence of Artificial Intelligence (AI) and Cyber Security. Her primary research focuses on developing sophisticated Intrusion Detection Systems (IDS) using techniques like Deep Learning, Bayesian Inference, and Big Data Analytics. Dr. Jemili has contributed to international research programs like Horizon Europe and previously served as the Head of the Computer Science Department at ISITCom. Her work directly contributes to enhancing network security, distributed systems, and modern IoT environments.
Education Details:
- PhD: Computer Sciences (National School Of Computer Sciences (ENSI), University Of Mannouba, Tunisia, 2010)
- Master's Degree: Computer Sciences (ENSI, University Of Mannouba, Tunisia, 2004)
- Engineer Degree: Computer Science (ENSI, Tunisia, 2002)
Professional Background:
- Associate Professor (Current, Since 2007) - Higher Institute Of Computer Science And Telecom (ISITCom), University Of Sousse.
- Senior Researcher (Current) - MARS Laboratory (Modeling Of Automated Reasoning Systems), University Of Sousse.
- Head Of The Department Of Computer Science (2017–2020) - ISITCom Hammam Sousse.
- Member: PMO (Project Management Office), University Of Sousse (Since 2019).
Current Research Projects:
- Intelligent Control Agents: Developing machine learning-enhanced intelligent control agents for IoT network attack detection.
- Intrusion Detection Systems (IDS): Research into using Transformer Models and Ensemble Learning for detecting unknown intrusions in large heterogeneous data.
- Blockchain Security: Investigating the use of Blockchain technology with deep learning for robust intrusion detection in Cyber-Physical Systems.
Academic Profiles Of Dr. Farah Jemili
Explore his academic and professional presence across trusted platforms:
Selected publications
- Intrusion detection based on ensemble learning for big data classification 2023 cited 57×
- A deep learning-based intrusion detection approach for mobile Ad-hoc network 2023 cited 38×
- Intrusion detection in cyber-physical system using rsa blockchain technology 2023 cited 32×
- Intelligent intrusion detection based on fuzzy Big Data classification 2022 cited 23×
- Distributed Architecture of an Intrusion Detection System in Industrial Control Systems 2022 cited 18×
- Deep learning for intrusion detection in IoT networks Recent 2025 cited 16×
Ranked by citation impact (Crossref) where available, newest otherwise · verified via ORCID.
Considering JBR for your work?
This journal is guided by Dr. Farah Jemili (Associate Professor, Higher Institute Of Computer Science And Telecom (ISITCom) ORCID: 0000-0001-7511-1221) and a peer-review board of practising researchers. Open access, author-retained copyright (CC BY), and a clear editorial process.