Zifan Hao
Papers
1
Total Citations
14
H-Index
1
About
Zifan Hao is a rising researcher in computational imaging and photonics, whose work pushes the boundaries of non-line-of-sight (NLOS) imaging—a technique that visualizes objects hidden from direct view. His most cited paper, "Non-line-of-sight imaging at infrared wavelengths using a superconducting nanowire single-photon detector" (2023, 14 citations), addresses a critical challenge in the field: the severe optical attenuation caused by multiple diffusive reflections. By leveraging a superconducting nanowire single-photon detector at infrared wavelengths, Hao’s system achieves unprecedented sensitivity, enabling the reconstruction of hidden scenes with high fidelity. This breakthrough has direct implications for endoscopy, autonomous vehicle navigation, and robotic vision, where seeing around corners can enhance safety and functionality. Hao’s work stands out for its practical integration of advanced detector technology with algorithmic reconstruction, bridging the gap between laboratory demonstrations and real-world applications. Though early in his career, his contributions have already garnered attention for their potential to transform imaging in low-light and obstructed environments. Hao’s research exemplifies how innovative photonic solutions can unlock new capabilities in sensing and visualization, making him a promising voice in the next generation of imaging scientists.
Research Focus
Key Achievements
Top Papers
- 1