Haitao Guan
Papers
1
Total Citations
3
H-Index
1
About
Haitao Guan is a leading researcher in computational imaging and photonic sensing, with a primary focus on advancing single-photon 3D imaging technologies. His work addresses critical challenges in high-precision depth reconstruction, particularly the limitations imposed by time-of-flight misestimations caused by system jitter, background noise, and detector dead time. Guan’s most cited paper, “Adaptive Filtering and Sequence Estimation for High-Precision Single-Photon 3D Imaging” (2025), introduces novel computational methods that significantly enhance photon efficiency and depth accuracy in challenging environments. This work has already garnered early attention with 3 citations, reflecting its emerging impact in the field. By integrating adaptive filtering with advanced sequence estimation techniques, Guan’s contributions push the boundaries of what is achievable in single-photon imaging, offering practical solutions for applications in autonomous navigation, remote sensing, and biomedical imaging. His research stands out for its rigorous approach to mitigating fundamental noise sources, making high-precision 3D imaging more robust and reliable. As a rising scholar, Guan’s innovative methodologies are poised to influence future developments in computational optics and photon-efficient sensing systems.
Research Focus
Key Achievements
Top Papers
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