Martin Andraud Group
The focus of this group is to enable better circuits and systems, through several channels.
- Developing strategies and tools so that circuits can compensate for their variations (process, aging, operating conditions) and adapt in the field, based on machine learning techniques. This includes innovative adaptation algorithms to be embedded on-chip, and automated Computer-Aided Design (CAD) tools.
- Enabling these strategies to be energy-efficiently run on-chip, by designing custom analog and mixed-signal (AMS) neuromorphic integrated circuits (ICs). This includes the design of communication or sensory ICs, together with embedded machine learning blocks.
I don’t decide anymore, my circuit does!
e-mail: martin.andraud at aalto.fi
tel. +358 503 227 094
Department of Electronics and Nanoengineering
Aalto University School of Electrical Engineering
P.O. Box 15500, 00076 Aalto, Finland
TUAS-building, room 2192
Maarintie 8, 02150 Espoo