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