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Feng Xiaohua (封晓华)

Assistant Professor,

光电科学与工程学院,

浙江大学

Hangzhou, China.

Email: xiaohuafeng@zju.edu.cn

      Dr. Feng Xiaohua is currently a Tenure Track Assistant Professor at the College of Optical Science and Engineering, Zhejiang University, China. He obtained his Bachelor degree in Microelectronics (integrated circuits design) from Xidian Univeristy in 2011 and Ph.D. degree in Electrical and Electronic Engineering from Nanyang Technological Univerisity (NTU), Singapore in 2016. He finished his postdoctoral tranining in California Institute of Technology and then Unviersity of California Los Angeles (​under tuteleage of Prof. Liang Gao, iOptics Laboratory).

        Dr. Feng's research interests mainly focused on computational imaging, including light field photography, time-of-flight 3D imaging (mostly light and previously on photoacoustics as well), and imaging with (around, through and inside) scattering medium, along with exploring their applications in various domains. He has published over 30 Journal and conference papers, including Nature Communications, Optics Letters, and ICCP (International Conference on Computational Photography). His work had been widely reported by Optics & Photonics News, ScienceMag, PhysOrg. EurekAlert! etc., and were selected as Editor's Highlight, Cover Article, Spotlight Poster numerous times.

Postdocs

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Lai Zhitong (赖智通)

Ph.D. University of Chinese Academy of Science. 2022.

Research Interest: Computational 3D imaging, Machine Learning for image reconstruction.

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Wang Lingyu (王龄裕)

Ph.D. Zhejiang University 2023.

Research Interest: Light field imaging, super resolution, and image reconstruction algorithms.

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Cheng Kai(程凯)

Ph.D. Dalian University of Technology, 2021.

Research Interest: Compact light field imaging, Digital adaptive optics, 3D vision.

Xu Ya (徐娅)

Ph.D. Nanjing University 2021.

Research Interest: Computational 3D microscopy, Digital adaptive optics.

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Wang Yupeng (王玉鹏)

Ph.D. Shandong University 2023.

Research Interest: Time-of-flight 3D imaging, Single pixel imaging.

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