Research

Computer Imaging and Intelligent Sensing

This division is committed to the study of computational imaging technology and intelligent sensing application systems with the help of micro-nano optical devices and deep learning. The research field mainly includes a computational imaging theory and system design, deep learning algorithm and hardware implementation, as well as the integration and application of an intelligent sensing system.

Publications

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Team

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Shiqi Feng

2019 PhD Candidate

Computational Spectral Imaging

Jian Zhang

2021 PhD Candidate

Meta-optics imaging, computational imaging

Dongdong Li

2021 PhD Candidate

Design and study of laser beam combining system

Yujie Xing

2021 PhD Candidate

High performance compact cross band spectral imaging technology

Wenhan Huang

2022 Master Student

Computational imaging of medium wave cooling

Kaiyi Ji

2020 Master Student

Design and research of grating diffraction efficiency system

Junzhe Huang

2021 Master Student

QCL spectral beam combining

Ziyu Zhao

2022 Master Student

Infrared computational imaging

Research Infrastructure

This division is equipped with a 1000-core CPU and 15 TB memory for simulation, as well as a self-controllable high-efficiency software for optical field simulation, which can design refractive, diffractive, and meta-surface optical systems and develop image restoration algorithms. The division possesses a series of instruments and equipment, such as a four-dimensional interferometer, an 8 m collimator, a high-resolution two-dimensional turntable, a Zeiss coordinate measuring machine, a solar simulator of 200 m aperture, a JY320 monochromator, and a six-degree-of-freedom adjustment platform. Accordingly, the division is capable of conducting the digital calibration of refractive, diffractive, and meta-surface optical systems, integrated testing, and opto-mechanical calibration.