Eunsue Choi
Papers
1
Total Citations
2
H-Index
1
About
Eunsue Choi is reshaping the frontier of computational imaging and nanophotonics, with a focus on merging deep learning with metasurface optics to overcome fundamental limits in 3D sensing. Their most-cited work, “Neural 360° Structured Light with Learned Metasurfaces” (2023), introduces a paradigm shift: by co-designing metasurfaces—ultrathin arrays of sub-wavelength nanostructures—with neural networks, Choi achieves full 360° field-of-view structured light projection. This breakthrough bypasses the narrow FoV constraints of conventional diffractive optics, enabling compact, wide-angle LiDAR and holographic systems. The research demonstrates how learned metasurfaces can encode complex light patterns for robust 3D imaging, a critical advance for autonomous navigation and augmented reality. While early in its citation trajectory (2 citations), the work’s novelty has already sparked attention in the optics and machine learning communities. Choi’s contributions lie at the intersection of inverse design, physics-aware AI, and nanofabrication, offering a blueprint for next-generation optical systems that are both intelligent and miniaturized. Their approach promises to democratize high-performance 3D sensing, making it viable for portable devices and robotics.
Research Focus
Key Achievements
Top Papers
- 1Neural 360$^\circ$ Structured Light with Learned Metasurfaces2 citations · 2023