Giacomo Indiveri
About Giacomo Indiveri
Giacomo Indiveri is a co-founder and professor specializing in neuromorphic engineering, currently working at ETH Zürich and the University of Zurich. He has extensive experience in research funding, mentoring, and leading projects in neuromorphic cognitive systems.
Work at GrAI Matter Labs
Giacomo Indiveri serves as a Co-Founder at GrAI Matter Labs, a position he has held since 2018. The company focuses on developing advanced neuromorphic computing technologies. His role involves strategic decision-making and contributing to the company's vision in the field of artificial intelligence and neuromorphic systems.
Current Academic Positions
Indiveri is a Professor at ETH Zürich since 2019 and has been a Professor at the University of Zurich since 2011. In these roles, he engages in higher education, likely mentoring students and contributing to academic growth in neuromorphic engineering. He also serves as the Director of the Institute of Neuroinformatics at both institutions since 2017.
Education and Expertise
Giacomo Indiveri has an extensive educational background in engineering. He achieved a Laurea degree in Electronic Engineering from the University of Genoa between 1986 and 1992. He then pursued a Ph.D. in Electrical Engineering and Computer Science at the same university from 2001 to 2004. Furthering his studies, he completed his Habilitation in Neuromorphic Engineering at ETH Zürich from 2006 to 2007.
Previous Experience
Before his current roles, Indiveri worked as a Post-doctoral fellow at the California Institute of Technology from 1994 to 1996. He also held a post-doctoral position at the Institute of Neuroinformatics, University of Zurich and ETH Zurich from 1996 to 1999. These experiences contributed to his expertise in neuromorphic cognitive systems and VLSI neural processing.
Research Contributions
Indiveri leads research in neuromorphic cognitive systems, focusing on both analog and digital VLSI circuits. His specialization includes the design of VLSI neural processing systems and neural network modeling, which are critical areas in the advancement of neuromorphic engineering.