Study of the sources of error that can cause a system to behave not according to the expected functionality. Focus on both non-malicious (fault tolerance) and malicious causes (hardware security).
Study of the novel nanoscale technologies for the development of gigascale systems. Particular expertise on resistive devices such as RRAM and memristors and Field Coupled Nanocomputing such as NML and QCA .
Ongoing research collaborations cooperation with:
Upcoming space missions will require a higher degree of onboard autonomy operations to decrease operation costs, to increase quality science return, to minimize close-loop spaceground decision making, and to enable new operational scenarios. Artificial Intelligence (AI) methods and technologies like Deep Neural Networks (DNNs), may prove to be the turning point in this context as they can support data analytics conducted directly on-board as input for the on-board decision making system that generates plans or updates them while being executed while requiring considerably lower processing power and development effort. The objective of this activity is to propose novel AI based approaches for on board data computing leveraging the RISC-V ISA representative of next-generation space-grade processors.
Ongoing research collaborations cooperation with:
Established skills and experience in the design of complex digital systems based on FPGA such as a prototype of a Solid State Mass Memory for Space Applications. The detailed description of the design can be found here
Theses on topics related to our research activities are available here (page in Italian).