RESEARCH

[Computing for Photonics] Computational Imaging

We integrate optics and information science to develop advanced imaging technologies that surpass traditional imaging methods. This involves harmonizing signal processing techniques, including the latest advancements in machine learning, with optical measurement and control. Our focus includes novel microscopy, imaging through scattering media, and three-dimensional displays. We are tackling challenges in information visualization, performance enhancement, and the simplification of optical systems, which are difficult to achieve with traditional approaches.
References:O puls E, Optics Express, Applied Physics B, Journal of Physics: Photonics

[Photonics for Computing] AI Photonics

In the era of escalating demands for information and communication, relying solely on processors for computing proves to be both energy-intensive and insufficient to meet computational needs. As a response to this challenge, energy-efficient accelerators utilizing physical sources become indispensable. In our research lab, we harness the inherent speed and parallelism of light to devise system designs that effectively address these issues. Our goal is to pioneer new principles and application systems, incorporating innovative technologies such as optical chaos, quantum walks, and decision-making systems utilizing single photons. Furthermore, we propose energy-efficient systems through the implementation of approximate calculations.
References: Scientific Reports，Entropy，Scientific Reports, Scientific Reports，IEEE Access