Jihoon Kim
Papers
1
Total Citations
13
H-Index
1
About
Jihoon Kim is a pioneering researcher in neuromorphic vision systems and in-sensor computing, with a focus on developing bio-inspired hardware that bridges the gap between sensing and processing. His most-cited work, "In-sensor multilevel image adjustment for high-clarity contour extraction using adjustable synaptic phototransistors" (2025, 13 citations), introduces a transformative approach to robotic vision by enabling data compaction directly at the sensor level. This innovation eliminates the need for high-throughput data transmission to remote servers, dramatically improving energy efficiency and processing speed. Kim’s contributions center on adjustable synaptic phototransistors that perform multilevel image adjustment in real time, allowing for high-clarity contour extraction without the computational overhead of traditional systems. His work addresses a critical bottleneck in edge computing and autonomous robotics, where latency and power consumption are paramount. By integrating memory and processing into the sensor itself, Kim is advancing a new paradigm for efficient, real-time visual perception. His research holds significant promise for applications in autonomous navigation, industrial automation, and smart sensing, positioning him as a rising leader in the field of in-memory computing and neuromorphic engineering.
Research Focus
Key Achievements
Top Papers
- 1