History

The SM@RTS laboratory — Laboratory of Signals, systeMs, aRtificial Intelligence and neTworkS — was founded in 2020 by a team of researchers specializing in Information and Communication Technologies (ICT). Established within the Digital Research Center of Sfax, SM@RTS was created with the ambition to advance scientific research and innovation in key areas such as signal processing, intelligent systems, and telecommunications networks. Since its inception, the laboratory has strived to foster interdisciplinary collaboration, address real-world challenges, and contribute to the development of smart and sustainable digital technologies.

Mission and vision

Our Mission At SM@RTS (Laboratory of Signals, systeMs, aRtificial Intelligence and neTworkS), our mission is to:

• Conduct high-quality scientific research in key areas of Information and Communication Technologies (ICT)
• Foster technological innovation through applied research and experimentation 
• Promote technology transfer to bridge the gap between research and industry We aim to unite researchers working in: • Artificial Intelligence (AI)
• Signal Modeling and Processing
• Computer Vision
• Telecommunications
• Embedded Systems

Our laboratory also strives to strengthen collaboration with research institutions and industry partners, with the goal of aligning our research with national priorities and socio-economic needs.

Our Research Vision

We aspire to:

• Play an active role in national and international research projects • Be part of international research networks

• Publish in high-impact scientific journals • Participate in and co-organize major international conferences

• Support the supervision of PhD theses and HDRs (Habilitation à Diriger des Recherches) Innovation Vision

We are committed to:

• Engaging in projects that valorize research outcomes • Developing joint initiatives with socio-economic partners

• Creating tangible impact through the transfer of technology to industry and society

Research team

Our research at SM@RTS is organized around four major scientific axes:

1. Techniques and Approaches for Learning and Big Data Analysis Development and application of advanced algorithms for machine learning, data mining, and the intelligent exploitation of massive and heterogeneous data. 
2. Techniques and Approaches for Signal and Image Modeling and Processing Innovative methods for the analysis, modeling, and enhancement of signals and images across various application domains. 
3. Services, Network Architectures, and Communication Protocols for Smart Systems and Next-Generation Networks Design and optimization of communication protocols and architectures adapted to the needs of intelligent and large-scale connected systems. 
4. Smart Systems: Design, Implementation, and Communication Integration of hardware and software solutions for embedded systems, IoT, and intelligent platforms with a focus on performance, interoperability, and real-world deployment.