Rocco Febbo
Papers
2
Total Citations
17
H-Index
2
About
Rocco Febbo is at the forefront of neuromorphic engineering and in-memory computing, pioneering energy-efficient hardware for next-generation vision and navigation systems. His most impactful work introduces a single-chip SPAD-based vision sensor integrated with memristive spiking neuromorphic processing—a breakthrough that marries high quantum efficiency with ultra-low-power computation. This design, published in 2023 with 15 citations, demonstrates a scalable path toward real-time, event-driven visual perception. Febbo further advances the field by leveraging CMOS-integrated Resistive RAM (ReRAM) for in-memory computation, enabling efficient vector-matrix multiplication for robotic navigation. His 2024 work, already garnering 2 citations, shows how ReRAM-based IMC can dramatically reduce energy consumption in neural network accelerators, making autonomous systems more viable. By combining SPAD sensors with memristive spiking circuits and ReRAM-based processing, Febbo is redefining the boundaries of embedded AI—pushing toward fully integrated, brain-inspired hardware that sees, learns, and navigates with unprecedented efficiency. His contributions are shaping the future of low-power, real-time intelligent systems.
Research Focus
Key Achievements
Top Papers
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- 2