Davide Rossi
Papers
4
Total Citations
55
H-Index
3
About
Davide Rossi is a leading figure in ultra-low-power (ULP) system-on-chip (SoC) design, with a focus on enabling intelligent, autonomous systems at the edge. His research centers on heterogeneous RISC-V architectures, precision-scalable deep neural network (DNN) acceleration, and predictable real-time computing for constrained platforms like nano-UAVs and AI-IoT devices. Rossi’s most cited work, a 2023 ISSCC paper on a 12.4 TOPS/W AI-IoT SoC integrating 16 RISC-V cores and adaptive body biasing, demonstrates his ability to push the boundaries of energy efficiency—achieving 136 GOPS within a few tens of milliwatts. This contribution alone has garnered 34 citations, reflecting its impact on the field. He also leads efforts in secure, autonomous nano-UAV navigation, with a 2024 paper highlighting a heterogeneous RISC-V SoC tailored for sub-10cm drones, and advances predictability in real-time SoCs through the TOP framework for automotive and robotics applications. Rossi’s work bridges cutting-edge hardware design with practical deployment, making him a key innovator in the next generation of ubiquitous, intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Heterogeneous RISC-V Based SoC for Secure Nano-UAV Navigation13 citations · 2024
- 3TOP: Towards Open & Predictable Heterogeneous SoCs5 citations · 2024
- 4A Heterogeneous RISC-V based SoC for Secure Nano-UAV Navigation3 citations · 2024