World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
10067
World Ranking
5354
National Ranking
716

Research.com Recognitions

  • 2013 - OSA Fellows For significant and sustained contributions to computational optics and imaging, in particular the development of image reconstruction algorithms for various applications.
  • 2013 - SPIE Fellow

Overview

Edmund Y. Lam is affiliated with the University of Hong Kong in China. Their research spans multiple fields, primarily focusing on computer science, engineering, and physics and astronomy. Within these fields, their work often concentrates on subfields such as computer vision and pattern recognition, media technology, atomic and molecular physics and optics, biophysics, and electrical and electronic engineering.

The scientist's main research topics cover a variety of advanced imaging and processing techniques. These include digital holography and microscopy, advanced image processing techniques, image processing techniques and applications, advanced vision and imaging, advanced X-ray imaging techniques, cell image analysis techniques, and random lasers and scattering media.

Edmund Y. Lam has authored numerous papers published in various academic venues. Some of their recent publications are:

  • On the use of deep learning for phase recovery, 2024, Light Science & Applications
  • Phase-controlled metasurface design via optimized genetic algorithm, 2020, Nanophotonics
  • Microplastic pollution monitoring with holographic classification and deep learning, 2021, Journal of Physics Photonics
  • Digital holographic imaging and classification of microplastics using deep transfer learning, 2020, Applied Optics
  • Enhancing image resolution of confocal fluorescence microscopy with deep learning, 2023, PhotoniX

Throughout their career, Edmund Y. Lam has frequently collaborated with several co-authors. Frequent collaborators include Chutian Wang, Shuo Zhu, Ge Zhou, Yanmin Zhu, and Yaping Zhao.

The scientist has published extensively in a variety of venues, often appearing in:

  • arXiv (Cornell University)
  • Optics Express
  • IEEE Access
  • Optics Letters
  • IEEE Transactions on Image Processing

Edmund Y. Lam has been recognized as a fellow by leading societies in optics and photonics. They were awarded the SPIE Fellow distinction in 2013, and also became an OSA Fellow in the same year for contributions to computational optics and imaging, particularly regarding image reconstruction algorithms applied in various domains.

Best Publications

  • A mathematical analysis of the DCT coefficient distributions for images

    E.Y. Lam;J.W. Goodman

  • Learning-based nonparametric autofocusing for digital holography

    Zhenbo Ren;Zhimin Xu;Edmund Y. Lam

  • A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video

    Michael K. Ng;Huanfeng Shen;Huanfeng Shen;Edmund Y. Lam;Liangpei Zhang

  • Combining gray world and retinex theory for automatic white balance in digital photography

    E.Y. Lam

  • Performance optimization for gridded-layout standard cells

    Jun Wang;Alfred K. K. Wong;Edmund Yin-Mun Lam

  • Mobile-Phone Antenna Design

    C. Rowell;E. Y. Lam

  • End-to-end deep learning framework for digital holographic reconstruction

    Zhenbo Ren;Zhimin Xu;Edmund Y. M. Lam

  • Automatic source camera identification using the intrinsic lens radial distortion.

    Kai San Choi;Edmund Y Lam;Kenneth K Y Wong

  • Ultrafast laser-scanning time-stretch imaging at visible wavelengths.

    Jiang-Lai Wu;Yi-Qing Xu;Jing-Jiang Xu;Xiao-Ming Wei

  • Super-resolution reconstruction in a computational compound-eye imaging system

    Wai-San Chan;Edmund Y. Lam;Michael K. Ng;Giuseppe Y. Mak

  • Rectangular contact lithography for circuit performance improvement

    Edmund Y Lam;Jun Wang;Alfred K K Wong

  • Source camera identification using footprints from lens aberration

    Kai San Choi;Edmund Y. Lam;Kenneth K. Y. Wong

  • Extending the Depth of Field in a Compound-Eye Imaging System with Super-Resolution Reconstruction

    Wai-San Chan;E.Y. Lam;M.K. Ng

  • Investigation of Computational Compound-Eye Imaging System With Super-Resolution Reconstruction

    Wai-San Chan;E.Y. Lam;M.K. Ng

  • High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction

    Nan Meng;Hayden K.-H. So;Xing Sun;Edmund Y. Lam

  • Computational photography with plenoptic camera and light field capture: tutorial.

    Edmund Y Lam

  • Iterative statistical approach to blind image deconvolution

    Edmund Y. Lam;Joseph W. Goodman

  • Asymmetric-detection time-stretch optical microscopy (ATOM) for ultrafast high-contrast cellular imaging in flow

    Terence T. W. Wong;Andy K. S. Lau;Kenneth K. Y. Ho;Matthew Y. H. Tang

  • Standard cell design with resolution-enhancement-technique-driven regularly placed contacts and gates

    Jun Wang;Alfred K. K. Wong;Edmund Yin-Mun Lam

  • Deep learning for digital holography: a review.

    Tianjiao Zeng;Yanmin Zhu;Edmund Y. Lam

  • Pixelated source mask optimization for process robustness in optical lithography

    Ningning Jia;Edmund Y. Lam

  • Three-dimensional microscopy and sectional image reconstruction using optical scanning holography

    Edmund Y. Lam;Xin Zhang;Huy Vo;Ting-Chung Poon

  • Machine learning for inverse lithography: using stochastic gradient descent for robust photomask synthesis

    Ningning Jia;Edmund Y Lam

  • Reconstruction of sectional images in holography using inverse imaging

    Xin Zhang;Edmund Y. Lam;Ting-Chung Poon

Frequent Co-Authors

Kenneth K. Y. Wong
Kenneth K. Y. Wong University of Hong Kong
Kevin K. Tsia
Kevin K. Tsia University of Hong Kong
Michael K. Ng
Michael K. Ng Hong Kong Baptist University
Byoungho Lee
Byoungho Lee Seoul National University
Joseph W. Goodman
Joseph W. Goodman Stanford University
Ho Cheung Shum
Ho Cheung Shum University of Hong Kong
Jianzhuang Liu
Jianzhuang Liu Shenzhen Institutes of Advanced Technology
Bing-Zhong Wang
Bing-Zhong Wang University of Electronic Science and Technology of China
Victor X. D. Yang
Victor X. D. Yang Sunnybrook Health Science Centre
Guohai Situ
Guohai Situ Chinese Academy of Sciences

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