Yangyang Zhuge
Papers
1
Total Citations
17
H-Index
1
About
Yangyang Zhuge is pioneering the integration of photonic and electronic systems for next-generation edge computing, with a focus on scalable, energy-efficient hardware for artificial intelligence. His key research areas include silicon photonics, CMOS-compatible photonic integrated circuits (PICs), and near-sensor computing architectures. Zhuge’s most notable contribution is the development of a bilayer AlN/Si waveguide platform that enables high-performance photonic circuits directly integrated with CMOS electronics—a critical step toward overcoming the bandwidth and power bottlenecks in AI inference at the edge. His 2025 paper on this platform has already garnered 17 citations, reflecting its timely impact as large-scale models like ChatGPT and autonomous driving systems demand faster, more efficient data processing close to the sensor. By demonstrating a manufacturable route to on-chip optical interconnects, Zhuge’s work bridges the gap between photonic computing and commercial semiconductor fabrication. His achievements position him at the forefront of efforts to realize low-latency, high-throughput edge AI systems, making his research essential for students and engineers working at the intersection of photonics, machine learning, and hardware acceleration.
Research Focus
Key Achievements
Top Papers
- 1