Ruizhi Cao

Ruizhi Cao is a Postdoctoral Researcher in Computational Imaging at the University of California, Berkeley, under the advisement of Changheui Yang. His research focuses on advancing computational imaging techniques, including Fourier ptychography, non-line-of-sight imaging, and optical system design. Cao is an Alumni Resnick Graduate Scholar, recognizing his academic and research contributions.

Research Interests: Ruizhi Cao's work spans computational imaging, optical engineering, and advanced imaging systems. He specializes in developing novel algorithms for high-resolution imaging, overcoming challenges like aberrations and scattering, and applying these techniques to biomedical and optical tomography applications. His research also explores the integration of deep learning with phase and amplitude data from defocused images.

Key Achievements: Cao has contributed to advancements in imaging through scattering media, non-line-of-sight imaging using wavefront shaping, and high-throughput imaging systems. His work on analytic reconstruction algorithms and closed-form solutions has enabled efficient, large-field-of-view imaging.

Labs/Teams: Cao is affiliated with the Yang Research Group at UC Berkeley, focusing on cutting-edge computational imaging solutions.