Jingkai Zhou
Papers
1
Total Citations
17
H-Index
1
About
Jingkai Zhou is a pioneering researcher at the forefront of integrated photonics and edge computing, with a focus on enabling high-performance, energy-efficient AI hardware. His major contributions center on developing CMOS-compatible photonic integrated circuit (PIC) platforms that bridge the gap between optical and electronic systems for near-sensor edge computing. His most cited work, "Near-Sensor Edge Computing System Enabled by a CMOS Compatible Photonic Integrated Circuit Platform Using Bilayer AlN/Si Waveguides" (2025, 17 citations), introduces a novel bilayer aluminum nitride/silicon waveguide architecture that dramatically reduces latency and power consumption for real-time AI tasks like autonomous driving and large language model inference. This innovation addresses critical bottlenecks in data movement between sensors and processors, positioning his research as a key enabler for next-generation intelligent systems. Zhou’s work has been recognized for its potential to revolutionize edge AI, with applications spanning from autonomous vehicles to advanced natural language processing. His achievements highlight a rare synergy between materials science, photonics, and AI, making him a rising leader in the field of integrated photonic computing.
Research Focus
Key Achievements
Top Papers
- 1