PI
MINDnet
Neuromorphic Computing and Signal Processing Training Network. Principal Investigator and scientific coordinator of the University of Pisa unit.
I lead the research line on Neural Dynamics and Neuromorphic AI at the Department of Computer Science, University of Pisa.
I am Principal Investigator of the University of Pisa units of the Horizon Europe projects MINDnet and ADA-COLLAB, and I was Principal Investigator and Coordinator of the national project NEURONE. I supervise PhD students, post-doctoral researchers and research fellows working on dynamical neural models, reservoir computing and neuromorphic computing for AI.
Research group
The group I lead works on recurrent and dynamical neural models, reservoir computing, deep learning for graphs, stable neural architectures, learning beyond backpropagation, and neuromorphic hardware for AI.
Current and incoming members
- Giacomo Lagomarsini
- PhD student, since November 2025 · Reservoir computing
- Adam C. Maćkowiak Pellón
- PhD student, from November 2026 · Hardware-friendly reservoir computing · funded by MSCA Doctoral Network MINDnet (DC11)
Recent members
- Matteo Pinna
- Research fellow, July 2025 – January 2026 · Reservoir computing and neuromorphic-friendly neural architectures
Funded projects — Principal Investigator
PI
ADA-COLLAB
Dependable, autonomous and collaborative artificial intelligence. Principal Investigator of the University of Pisa unit.
PI & Coordinator
NEURONE
Extremely efficient NEUromorphic Reservoir cOmputing in Nanowire network hardwarE. Principal Investigator and Project Coordinator.
PI
Industrial research contracts
Principal Investigator of five industry-funded research contracts at the University of Pisa.
Funded projects — Work Package leader
WP4 leader
EMERGE
Emergent awareness from minimal collectives. Leader of Work Package 4, “Learning and Evolutionary Awareness”.
WP2 leader
RELAY
Relational Deep Learning for Energy Analytics. Leader of Work Package 2, “Randomized networks to handle big data”.
WP4 leader
TEACHING
A Computing Toolkit for Building Efficient Autonomous Applications Leveraging Humanistic Intelligence. Leader of Work Package 4, “AI as a Service software infrastructure for CPSoS”.
Scientific community leadership
- Founder and Chair, IEEE CIS Task Force on Randomization-Based Neural Networks and Learning Systems — Chair since 2024, Vice-Chair 2020–2024 (RandNN-TF)
- Founder and Chair (2018–2022), IEEE CIS Task Force on Reservoir Computing (TFRC)
- Associate Editor, IEEE Transactions on Neural Networks and Learning Systems
- Member of the faculty board, Italian National PhD Programme in Artificial Intelligence
- Member of the IEEE CIS Neural Networks Technical Committee and of the IEEE CIS Task Force on Deep Learning
Research interests
Applications to sensor networks, robotics, human activity recognition, industrial process modelling and smart grids.