Davide Rossi

University of Bologna

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

3
H-Index
4
Papers
55
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
22.1 A 12.4TOPS/W @ 136GOPS AI-IoT System-on-Chip with 16 RISC-V, 2-to-8b Precision-Scalable DNN Acceleration and 30%-Boost Adaptive Body Biasing
34 citations · 2023
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: University of Bologna

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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