Summary

Mr. Mohamed Neji is an accomplished academic and professional specializing in artificial intelligence, machine learning, and quality management systems. With extensive experience in teaching, research, and quality assurance, he has contributed significantly to the fields of computer science and engineering. He is the founder of the Living Lab on Industry 4.0 at the National School of Electronics and Communications of Sfax (Enet’Com), Tunisia.

Education

• 2014: Ph.D. in Computer Science Engineering, National Engineering School of Sfax, Tunisia.
  Thesis: Person Identification and Cognitive Emotion Analysis System
• 2009: Certificate in Computer Science and Internet, Virtual University of Tunis.
• 2007: Master’s in Management Information Systems, Faculty of Economic Sciences and Management of Sfax, Tunisia.
  Thesis: Multidimensional Schema Evolution – Integrating New OLAP Requirements
• 1999: Bachelor’s Degree, Technical Session, 15 Novembre 1955 Secondary School, Sfax, Tunisia.

Professional Experience

• Since 2022: Lead Auditor ISO 21001:2018.
• Since 2020: Quality Manager at Enet’Com, University of Sfax.
  • Lead Auditor ISO 9001:2015
  • Coordinator of four quality support projects
  • Founder of Living Lab on Industry 4.0
• Since 2016: Assistant Professor, Enet’Com, University of Sfax.
  • Subjects: Artificial Intelligence, Internet of Things, Machine Learning, Deep Learning, Operating Systems, Web Development
• 2014-2016: Assistant Professor, Higher Institute of Computer Sciences of Medenine, University of Gabes.
• 2003-2014: Secondary School Teacher and Assistant in various Tunisian universities.

Research Interests

• Artificial Intelligence and Machine Learning
• Deep Learning and Cognitive Emotion Analysis
• Internet of Things (IoT) and Industry 4.0
• Quality Management Systems and Big Data

 

Publications

 Early Academic Pursuits

Mrs. Emna BenSaid began her academic journey with a Baccalauréat diploma in Mathematics from Majida Boulila School in Sfax in 2006. Her passion for technology led her to pursue a Licence appliquée en technologie des réseaux et Télécommunications at the Sfax Higher Institute of Electronics and Communication (ISECS), specializing in Systems and Networks Administration and Security (ASSR), graduating in 2009 with distinction. She furthered her education by completing a Research Master’s in Telecommunications and Computer Networks at the National School of Electronics and Telecommunications of Sfax (ENET’Com) in 2015, focusing on intrusion detection and securing web services, earning a “Mention Bien” distinction. Currently, she is completing her thesis in Computer Systems Engineering at the National School of Engineers of Sfax (Enis), researching deep identity obfuscation in images for privacy protection.

 Professional Endeavors

Mrs. BenSaid’s professional journey began as an Information System Security Administrator at Computer Systems in Sfax (2009–2013). She gained extensive experience in network security, database administration, J2EE development, and business intelligence. Her responsibilities included managing firewalls for clinics across Tunisia, conducting security audits, and designing secure web applications. Since 2015, she has been a permanent assistant at the Institut Privé Polytechnique des Sciences Avancées de Sfax (IPSAS), where she teaches advanced programming, computer networks, and blockchain, among other topics.

 Contributions and Research Focus

Mrs. BenSaid has made significant contributions to computer systems engineering, focusing on privacy protection, artificial intelligence, and secure web services. Her thesis explores innovative methods for deep identity obfuscation in images, aiming to balance privacy and utility. She has supervised numerous end-of-study projects, including developing AI solutions for autonomous driving and mobile applications for administrative management.

 Impact and Influence

Her work in network security and database management has positively impacted healthcare institutions in Tunisia by enhancing their data protection capabilities. Additionally, her teaching at IPSAS has inspired and equipped future engineers with essential skills in cybersecurity, artificial intelligence, and software development.

 Academic Cites

• Deep Keypoints Adversarial Attack on Face Recognition Systems (Neurocomputing, 2025)
• Facial Dataset Anonymization: Striking the Balance between Privacy and Utility (IEEE Access, 2024)
• FaceAnonym: Face Anonymization Model via Latent Space Mapping (CW 2023)
• Natural Face Anonymization via Latent Space Layers Swapping (IEEE Symposium on Computers and Communications, 2023).

 Technical Skills

• Programming languages: Python, C/C++, Java, and Objective-C
• Database management: SQL Server, MySQL
• Web application development: J2EE, HTML5, CSS3, JavaScript
• Business intelligence: SSAS, SSRS
• Mobile application development: iOS
• Network security and system administration.

 Teaching Experience

At IPSAS, Mrs. BenSaid has been responsible for teaching various modules, including advanced programming, computer security, operating systems, and blockchain. Her innovative teaching methods and expertise have earned her recognition among students and colleagues. She has also guided students in developing cutting-edge projects in AI and mobile application development.

 Legacy and Future Contributions

Mrs. BenSaid’s dedication to research, teaching, and professional development positions her as a leader in computer systems engineering. Her ongoing work in privacy protection and AI is expected to contribute significantly to advancements in these fields. Her legacy is marked by her ability to inspire and mentor the next generation of engineers and researchers.

Publications