Hung Nien (粘紘)

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Ph.D. Candidate
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 am a Ph.D. candidate of the Electrical Engineering: Systems program in the Department of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. I work on X-ray computed tomography (CT) image reconstruction under the supervision of Prof. Jeffrey A. Fessler. My research interests include convex optimization, iterative algorithm, compressed sensing, and computational photography. I am currently looking for a postdoctoral position in medical imaging, applied mathematics, or machine learning starting from Summer/Fall 2014.

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

Research

My research projects have included

  • 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 the linearized augmented Lagrangian method with ordered subsets, " in arXiv: 1402.4381, 2014. Submitted to IEEE Trans. Med. Imag..
    [arxiv] [bibtex]

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