Riccardo Cantoro
Papers
2
Total Citations
21
H-Index
2
About
Riccardo Cantoro is a leading researcher in the design and verification of reliable, secure, and testable electronic systems, with a particular focus on safety-critical autonomous applications. His work bridges the gap between hardware reliability and artificial intelligence, addressing the unique challenges posed by autonomous vehicles, robots, and nano-drones. Cantoro’s major contributions include pioneering on-line testing methodologies for RISC-V processor-based autonomous systems, as demonstrated in his highly cited 2019 paper (12 citations), which provides a framework for ensuring functional safety during operation. He has also advanced the integration of reliability and security mechanisms to protect neural networks from faults and unauthorized access, a critical need for systems storing valuable intellectual property in non-volatile memories (2021, 9 citations). By combining fault resilience with encryption-based security, Cantoro’s research directly enhances the robustness of AI-driven electronics. His work is instrumental in shaping next-generation autonomous systems that must operate dependably under real-world conditions, earning him recognition as a key figure in the evolving field of dependable computing.
Research Focus
Key Achievements
Top Papers
- 1
- 2