Jooyeong Yun
Papers
3
Total Citations
334
H-Index
2
About
Jooyeong Yun is an emerging researcher at the forefront of computational optics and three-dimensional imaging, with a particular focus on metasurface-driven structured light systems. Their work addresses fundamental limitations in conventional depth-sensing technologies, pioneering the use of engineered metasurfaces — arrays of sub-wavelength nanostructures — to dramatically expand the capabilities of structured light-based 3D imaging. Yun's most influential contribution, "Metasurface-driven full-space structured light for three-dimensional imaging" (2022), has garnered over 230 citations, establishing a new paradigm for overcoming the restricted field-of-view inherent in traditional diffractive optical elements. Building on this foundation, Yun has pushed boundaries further by integrating machine learning with metasurface design, developing neural approaches that enable 360° structured light projection — a significant leap toward panoramic, real-world depth sensing applicable to LiDAR and holographic systems. This fusion of nanophotonics, computational imaging, and deep learning reflects a sophisticated interdisciplinary vision. With growing citation impact and a rapidly advancing body of work, Yun represents a compelling voice in next-generation sensing and imaging research, offering solutions with profound implications for robotics, augmented reality, and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Metasurface-driven full-space structured light for three-dimensional imaging233 citations · 2022
- 2360° structured light with learned metasurfaces99 citations · 2024
- 3Neural 360$^\circ$ Structured Light with Learned Metasurfaces2 citations · 2023