Smart Embedded Systems
CELL is a multidisciplinary team working in the field of Electronics, Signal and Image Processing for the Modeling and Design of Reconfigurable, Communicating, Reliable and Intelligent Embedded Systems.
A particular emphasis is put on the design and use of Machine Learning techniques in contexts specific to data analysis and data processing problems, with a focus on the explainability and transparency of such algorithms.
Applications include social media content and graph analytics, semantic web data integration and analysis, pattern detection in image, video and multimodal data, search engines for different types of data, knowledge extraction from data, data privacy, etc.
The application domains are vast, such as cultural heritage, security, opinion mining, health, etc.
CELL is now divided into three scientific axes representing the two levels of activity of the team, namely an upstream technological level and an applications level linked to the socio-economic fabric and addressing problems with societal stakes in line with the team’s areas of expertise and values.
The “Flexible Communications”
focuses on “Green Communication” issues, in connection with the activities of the IoT platform (emerging technologies of networks of interconnections on a chip). This axis also addresses the issue of component reliability and the problem of “dirty RF” on improving the efficiency of power structures in communicating systems (5G).
The “Smart Embedded Systems” axis
highlights the dual aspect of “Unconventional Sensors” and “Smart Embedded Processing” developed within the team in the team’s flagship application areas (IoT, Telecom, Health, Autonomous Vehicle). This axis addresses both hardware and data processing issues with the constraints of embedded systems.
The “Reconfigurable Computing” axis
whose activities are centred on the robustness of heterogeneous embedded systems to environmental disturbances in particular, and is also interested in energy and error correction codes in the context of communicating systems.
Through these axes, the team is developing national and international collaborations that allow it to carry out ambitious projects in the fields of Security of communicating systems, Health, and Autonomous vehicles, financed by the ANR, the region, and local calls for projects (CY Initiative, ENSEA, CNRS).
The team’s partners are both academic, companies, through CIFRE theses for example, and from the ecosystem of local partners.
Smart Embedded Systems for Health
Non Conventional Sensors
The Wizarde Project
Reliability and ECC
Circuits and RF Systems
To meet the constraints related to the emergence of new standards in communications systems (ICT, security, defense, space, …), new RF devices or architectures are study and design in this research activity.
The other ETIS teams
Indexing, analysis and research of visual content
Modelling of Learning
Multimedia Indexing & Data Integration