Smart Embedded Systems

CELL

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.

Team

Enseignante-Chercheure

PhD Candidate

Doctorant

MCF, CY Cergy Paris Université

MCF HDR, ENSEA

MCF HDR, ENSEA

Enseignant-Chercheur, CY Cergy Paris University, chercheur associé

PU, CYU, Head of ETIS

CY, Associate Researcher

PU, ENSEA, CELL Group Leader

Doctorant

Research activities

CELL research is now divided into three scientific axes representing the two levels of activity of the team, namely an upstream technological level and an application level linked to the socio-economic fabric. These are addressing problems with societal stakes in line with the areas of expertise and values of the team.

Research axes

1

Flexible Communications
This axis focuses on “Green Communication” issues, in harness with the activities of the IoT platform (emerging technologies of networks of interconnections on a chip). This axis also tackles issues related to component reliability and the problem of “dirty RF” when improving the efficiency of power structures in communicating systems (5G).

2

Smart Embedded Systems
This research highlights the dual aspect of “Unconventional Sensors” and “Smart Embedded Processing” developed by the team in the team’s flagship application areas (IoT, Telecom, Health, Autonomous Vehicle). This axis addresses both hardware and data processing issues within the constraints of embedded systems.

3

Reconfigurable Computing
The activities of this axis are centred on the robustness of heterogeneous embedded systems to environmental disturbances in particular. More generally it also adresses 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.

Research areas

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

Information, Communication and Imaging

Modelling of Learning

Multimedia Indexing & Data Integration