Yakun Sophia Shao
Papers
2
Total Citations
16
H-Index
1
About
Yakun Sophia Shao is a leading researcher in computer architecture, with a focus on hardware-software co-design for emerging domains like robotics and machine learning. Her work bridges the gap between application demands and efficient silicon implementation, particularly through full-stack evaluation frameworks and specialized heterogeneous systems-on-chip (SoCs). Shao’s notable contributions include the development of RoSÉ, a pre-silicon co-simulation infrastructure that enables comprehensive, full-stack evaluation of robotics SoCs—from algorithms to hardware—addressing critical challenges in autonomous systems like UAVs and self-driving cars. She also led the design of MAVERIC, a 16nm heterogeneous SoC integrating 4 cores and 13 INT8/FP32 accelerators, achieving 72 FPS and 10 mJ/frame for ML and robotics workloads such as 3D reconstruction. This work demonstrates her impact on energy-efficient, real-time processing. With her papers garnering citations that reflect growing interest in domain-specific architectures, Shao’s research is shaping the future of agile, high-performance computing for autonomous and intelligent systems. Her achievements underscore a commitment to enabling practical, scalable solutions at the intersection of hardware and software.
Research Focus
Key Achievements
Top Papers
- 1
- 2