Sabina Spiga

​Sabina Spiga is a Research Director at the CNR Institute for Microelectronics and Microsystems (CNR-IMM), Unit of Agrate Brianza, Italy. She specializes in developing oxide-based resistive switching non-volatile memories and memristive devices for neuromorphic systems and novel computing paradigms. Spiga earned her degree in Physics from the University of Bologna in 1995 and completed her Ph.D. in Material Science at the Università di Milano in 2002. She joined the MDM-INFM Laboratory as a post-doctoral fellow in 2002, became a tenure-track researcher in 2004, and secured a permanent researcher position at CNR-IMM in 2009. She was promoted to Senior Researcher in 2018 and to Research Director in January 2020. ​

Throughout her career, Spiga has authored or co-authored over 120 publications in peer-reviewed journals and proceedings, along with eight book chapters. She has presented her research at numerous international conferences and has delivered invited talks and seminars at various universities and Ph.D. schools. Her research focuses on micro/nanoelectronics, in-memory, and neuromorphic computing, particularly in material development, device fabrication, and electrical testing of nanoelectronic devices. She has collaborated with semiconductor companies such as STMicroelectronics, Micron, and IBM, as well as research centers including CEA-LETI, IMEC, and INRIM. ​

Spiga has played a significant role in several European (FP6, FP7, Horizon2020), industrial, and Italian (MIUR-FIRB, Cariplo) R&D projects. She is currently the CNR Principal Investigator of the EU-Horizon2020-ICT project MeM-Scales – “Memory technologies with multi-scale time constants for neuromorphic architectures” (2020-2023) and of the EU-Horizon2020-FET-CSA project NEUROTECH – Neuromorphic Technology (2018-2022). Additionally, she is involved as a key person in the Horizon2020-ECSEL project R3POWER UP – 300mm Pilot Line for Smart Power and Power Discretes (2017–2023) and in the Italian Project (PRIN 2017) COSMO – Analogue Computing with Dynamic Switching Memristor Oscillators: Theory, Devices, and Applications (2020-2023).