Papers
2
Total Citations
39
H-Index
2
About
Tian Gu is a leading researcher in meta-optics and computational imaging, with a focus on pushing the boundaries of flat optics for real-world applications. His work centers on designing advanced metalens systems that overcome fundamental limitations in imaging and depth sensing. Gu made a major contribution with his 2023 work on monocular depth sensing using a double-helix point-spread-function metalens, achieving high-precision 3D depth estimation with minimal power consumption and system complexity—a breakthrough for consumer electronics and robotics. His 2024 paper on compound metalenses introduced a novel approach to distortion-free imaging, a critical yet often overlooked challenge in meta-optics. By addressing optical distortion, Gu’s work bridges the gap between theoretical metalens designs and practical, high-performance optical systems. His research has garnered significant attention, with his most-cited paper accumulating 29 citations in just one year, reflecting its immediate impact. Gu’s achievements demonstrate how meta-optics can be engineered to meet the stringent demands of modern imaging and sensing, positioning him as a rising innovator in the field.
Research Focus
Key Achievements
Top Papers
- 1Monocular depth sensing using metalens29 citations · 2023
- 2Compound Metalens Enabling Distortion-Free Imaging10 citations · 2024