Hanguk Cho
Papers
1
Total Citations
13
H-Index
1
About
Hanguk Cho is a rising leader in the field of neuromorphic and bio-inspired electronics, with a primary focus on in-sensor computing for advanced robotic vision. His most-cited work, "In-sensor multilevel image adjustment for high-clarity contour extraction using adjustable synaptic phototransistors" (2025, 13 citations), tackles a critical bottleneck in autonomous systems: the energy and latency costs of transmitting raw visual data to remote processors. By engineering adjustable synaptic phototransistors that perform image adjustment and contour extraction directly at the sensor level, Cho demonstrates how data compaction can dramatically reduce computational overhead while preserving high-clarity feature extraction. This approach enables faster, more energy-efficient robotic perception, moving beyond traditional, resource-intensive architectures. Though early in his career, Cho’s contributions are already shaping the future of edge intelligence, where sensing and processing merge seamlessly. His work stands out for its practical vision—bridging materials innovation with system-level efficiency—and positions him as a key voice in the next generation of intelligent, low-power visual systems.
Research Focus
Key Achievements
Top Papers
- 1