Circuits, Devices and System Integration
since 2015

Research topics

photo CDSI

The Circuits, Devices and System Integration (CDSI) axis is involved in the design, fabrication and test of integrated devices, circuits and systems. The main driver of the activity is focused on the research in energy consumption and in miniaturized devices and systems. Results of this research are applicable for portable and autonomous systems, which usually require low-power consumption, miniaturization, robustness and security. Indeed, our digital society, which offers large communication facilities to people, tends to enlarge the communication to machines and small communicating objects such as wireless sensor nodes (Internet of Things). This will multiply by several orders of magnitude the amount of energy consumed by the digital objects and will push the industry to foster new approach for mitigating the power consumption. In this context, the CIS (Concurrent Integrated Systems) and MNS (Micro and Nano Systems) teams developed new techniques based on asynchronous circuitry, non-uniform sampling schemes, energy harvesting and low-power sensors and actuators.

Last publications

Defoort M., Rufer L., Fesquet L., Basrour S., A dynamical approach to generate chaos in a micromechanical resonator, Microsystems & Nanoengineering, Ed. Springer Nature, Vol. 7, No. 17, DOI: 10.1038/s41378-021-00241-6, 2021
Gimenez G., Design of secure and very low power circuits : an asynchronous alternative, These de Doctorat, 2021
Fernandez-Brillet L., Leclaire N., Mancini S., Nicolas M., Cleyet-Merle S., Henriques J.P., Delnondedieu C., Compression and Speed-up of Convolutional Neural Networks Through Dimensionality Reduction for Efficient Inference on Embedded Multiprocessor, Journal of Signal Processing Systems, Ed. Springer , Vol. , 2021
Possamai Bastos R., Dutertre J.M., Garay Trindade M., Andreoni Camponogara Viera R., Potin O., Letiche M., Cheymol B., Beaucour J., Assessment of On-Chip Current Sensor for Detection of Thermal-Neutron Induced Transients, IEEE Transactions on Nuclear Science, Ed. IEEE, Vol. 67, No. 7, pp. 1404-1411, DOI: 10.1109/tns.2020.2975923, 2020
Hadj Salem K., Jost V., Kieffer Y., Libralesso L., Mancini S., Minimizing makespan under data prefetching constraints for embedded vision systems: a study of optimization methods and their performance, ORIJ - Operational Research - An International Journal, Ed. Springer , Vol. , 2020
Annual activity report