L3S works towards a convergence of signals and systems by developing tools for a wide range of user-oriented applications, while adding an extra dimension, that of statistics, which accentuates the power of the hybrid tools developed.
This enables the design, the development, and the performance analysis of transversal algorithms in statistical 1D-signal processing and 2D/3D-image processing as in systems analysis, including a real-time approach to machine learning algorithms.
Thanks to its immersion in the multidisciplinary environment of the National Engineering School of Tunis (ENIT), the oldest and most prestigious Tunisian public engineering school, with its 5 departments and 9 engineering degree courses, L3S has gained cross-disciplinary expertise in signals, signals & AI, AI in 1D, 2D and 3D that can be innovatively applied and transferred to various fields.
L3S also benefits from ENIT's strong RDI environment, which is anchored in the national and international industrial ecosystem through its national, European and Euro-Mediterranean RDI projects.
Head of the lab: Sonia Djaziri-Larbi
Research Axes
Lab's Expertise
Statistical Signal and Image Processing and Analysis, System Modeling and Analysis, Learning Algorithms, Complex Dynamical Systems
Main Research Topics
- Speech and Voice Analysis for Health Care,
- Audio for Music Analysis and Generation,
- Compressive Sensing,
- Frugal AI,
- 2D-3D Medical Images Analysis,
- Video Analysis for Healthcare,
- AI for Sign Language Recognition,
- Nonlinear Dynamical Systems.
Research master's program TICV
L3S manages the research master's program TICV - Information Processing and Complexity of the Living (Traitement de l'Information et Complexité du Vivant), a joint master's degree of ENIT with the Computer Vision and Intelligent Machines Programme of the Computer Science Master's degree of Paris Cité University.
UNESCO Chair on Science, Technology, and Innovation Policy
The L3S hosts the UNESCO Chair on Science, Technology, and Innovation Policy