Hung Nien (粘紘)

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Ph.D.
Department of Electrical Engineering and Computer Science
University of Michigan
4125 EECS Bldg., 1301 Beal Ave.
Ann Arbor, MI 48109-2122
Phone: +1 734 353 0850
E-mail: hungnien [AT] umich [DOT] edu

News

About me

I obtained my Ph.D. from the Electrical Engineering: Systems program in the Department of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. I worked on X-ray computed tomography (CT) image reconstruction under the supervision of Prof. Jeffrey A. Fessler, and I am now working as a postdoctoral research fellow in the same group. My research interests include convex optimization, iterative algorithm, compressed sensing, and computational photography. I am seeking a professional position in imaging and machine learning research to dedicate myself with my knowledge and skill set in numerical analysis and mathematical optimization.

Here are my curriculum vitae, Google scholar citation, and articles on arXiv.

Research

My research projects have included

  • Model-based tomographic reconstruction of translucent objects using lenslet-based plenoptic cameras

  • Convergence analysis of convex optimization method with inexact updates

  • Fast X-ray CT image reconstruction using variable splitting methods and ordered subsets

  • Blind gain correction in X-ray CT image reconstruction

  • Model-based light field reconstruction using a focal stack

For more information, please see the Research page.

Selected publications

  1. H. Nien and J. A. Fessler, " Fast X-ray CT image reconstruction using a linearized augmented Lagrangian method with ordered subsets, " IEEE Trans. Med. Imag., 2015. To appear.
    [preprint] [bibtex]

  2. H. Nien and J. A. Fessler, " A convergence proof of the split Bregman method for regularized least-squares problems, " , 2014. arXiv 1402.4371.
    [arxiv] [bibtex]

  3. H. Nien and J. A. Fessler, " Accelerating ordered-subsets X-ray CT image reconstruction using the linearized augmented Lagrangian framework, " in Proc. SPIE 9033 Medical Imaging 2014: Phys. Med. Im., p. 903332, 2014.
    [pdf] [poster] [bibtex]

For more information, please see the Publication page.