Pioneering research in embedded systems, IoT, AI, and cloud computing for intelligent systems of tomorrow.
The Computer & Embedded Systems Laboratory (CES-Lab) is a premier research center at ENIS, University of Sfax, dedicated to advancing cutting-edge technologies.
An official research laboratory of the National School of Engineers of Sfax (ENIS), University of Sfax, recognized for excellence in computer engineering and embedded systems.
Conduct fundamental and applied research to solve complex challenges in embedded systems, IoT, AI, and cybersecurity, bridging academia and industry.
Fostering national and international partnerships with academia, research centers, and industry to drive innovation and technology transfer.
Our multidisciplinary research spans cutting-edge domains with real-world applications
Design and optimization of real-time, low-power embedded systems for industrial automation and smart applications.
Connected devices, sensor networks, edge computing, and IoT platforms for smart cities and Industry 4.0.
Machine learning, deep learning, computer vision, and signal processing for intelligent decision systems.
Secure embedded systems, blockchain, cryptography, and privacy-preserving technologies.
DeepHealth: AI-powered diagnostic system for early disease detection using edge computing and federated learning.
In collaboration with CHU Sfax
A diverse team of researchers, faculty, and students driving innovation forward
13 Professors
33 Assistant Professors
Leading research and supervision
2 Post-Doctoral
16 PhD Students
Full-time research focus
16 PhD Candidates
5 Master Students
Training future experts
Nationally and internationally funded projects driving innovation
Joint Research Projects Program
2020–2022 • AI for road safety
2022–2024 • Secure medical data
2023–2025 • Precision farming
Valorization & Research Results
Cost-effective fluid leak detection and localization system using acoustic sensors and machine learning.
Mobility & Doctoral Training
Smart manufacturing and digital twins
Parallel computing and GPU acceleration
Large language models and content generation
Cutting-edge research published in top-tier conferences and journals
A novel approach to privacy-preserving machine learning in distributed IoT networks.
Edge computing framework for predictive maintenance in Industry 4.0 environments.
Decentralized architecture ensuring data integrity and patient privacy.
Get in touch for collaborations, research inquiries, or more information
Primary contact method
For general inquiries:
ces@enis.tnProf. Mouna BAKLOUTI
Laboratory Director
Response Time
Typically within 24-48 hours
ENIS, Sfax
+216 74 274 862
Mon-Fri 9AM-5PM
ceslab.org
CES-Lab at ENIS, University of Sfax
CES Laboratory
National School of Engineers of Sfax (ENIS)
University of Sfax, Tunisia
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