Penghui Shen
Papers
1
Total Citations
8
H-Index
1
About
Penghui Shen is a rising researcher in the field of edge intelligence and energy-efficient computing, with a focus on digital compute-in-memory (CIM) architectures. His most cited work, "A flexible digital compute-in-memory chip for edge intelligence" (2026), has already garnered 8 citations, reflecting early recognition of its significance. Shen’s major contribution lies in designing flexible, digital CIM chips that enable high-performance, low-power processing directly on edge devices—critical for real-time AI applications like IoT and wearable tech. By moving computation into memory, his work reduces data movement bottlenecks, a key challenge in traditional architectures. This innovation promises to make edge intelligence more accessible and sustainable. Shen’s research is notable for its practical, chip-level implementation, bridging the gap between theoretical advances and deployable hardware. As a young scholar, his work is poised to influence next-generation edge computing systems, with potential impacts on smart sensors, autonomous systems, and beyond.
Research Focus
Key Achievements
Top Papers
- 1A flexible digital compute-in-memory chip for edge intelligence8 citations · 2026