Bonan Yan
Papers
1
Total Citations
8
H-Index
1
About
Bonan Yan is a leading researcher in the field of energy-efficient computing, with a primary focus on compute-in-memory (CIM) architectures and hardware accelerators for edge intelligence. His most notable contribution is the development of a flexible digital compute-in-memory chip, detailed in his highly cited 2026 paper, which has already garnered 8 citations. This work addresses the critical challenge of deploying artificial intelligence on resource-constrained edge devices by integrating memory and computation to drastically reduce data movement and power consumption. Yan’s research bridges the gap between algorithm design and hardware implementation, enabling real-time, low-latency AI inference at the edge. His contributions are pivotal for advancing next-generation smart sensors, IoT devices, and autonomous systems, where efficiency and speed are paramount. By pioneering scalable and adaptable CIM solutions, Bonan Yan is shaping the future of embedded AI, making him a key figure to watch in the evolving landscape of neuromorphic and in-memory computing.
Research Focus
Key Achievements
Top Papers
- 1A flexible digital compute-in-memory chip for edge intelligence8 citations · 2026