Seokhyeong Lee
Papers
1
Total Citations
219
H-Index
1
About
Dr. Seokhyeong Lee is a leading figure in the emerging field of in-sensor computing, where his work bridges advanced materials and intelligent vision systems. His most celebrated contribution is the development of a programmable black phosphorus image sensor for broadband optoelectronic edge computing, a 2022 paper that has garnered 219 citations. This breakthrough demonstrates how two-dimensional semiconductors can embed computational capabilities directly into image sensors, drastically reducing the communication latency and power consumption essential for machine vision in distributed systems and robotics. By enabling in-sensor computing, Lee’s research addresses a critical bottleneck in real-time data processing, offering a path toward more efficient, autonomous visual systems. His work stands at the forefront of next-generation optoelectronics, combining material science with neuromorphic engineering to create hardware that learns and processes at the sensor level. Lee’s contributions are shaping the future of edge computing, where intelligent sensors operate with unprecedented speed and energy efficiency.
Research Focus
Key Achievements
Top Papers
- 1