PhD in Electrical Engineering from Stanford University in Mar. 2014
MS in Statistics from Stanford University in Dec. 2012
MS in Electrical Engineering from Stanford University in June. 2008
MS in Electrical Engineering and Computer Science from Seoul National University in Feb. 2006
BS in Electrical Engineering Seoul National University in Feb. 2004
Senior Research Scientist, Korea Institute of Science and Technology (KIST) since Mar. 2017
Research Staff Member, Samsung Advanced Institute of Technology (SAIT) from Apr. 2014 to Feb. 2017
My research interests span the areas of convex optimization, machine learning and stochastic control. I have a specific interest in applications such as medical imaging, image processing, pattern recognition, and large-scale learning algorithms.
K Choi, R Li, H Nam, L Xing, A Fourier-based Compressed Sensing Technique for Accelerated CT Image Reconstruction using First-Order Methods”, Physics in Medicine and Biology, vol. 59, no. 12, 3097,2014.
K Choi, L Xing, A Koong, R Li, First Study of On-Treatment Volumetric Imaging During Respiratory Gated VMAT”, Medical Physics, vol. 40, no. 4, 040701, 2013.
K Choi, B Fahimian, T Li, T-S, Suh, L Xing, Enhancement of Four-Dimensional Cone-Beam Computed
Tomography by Compressed Sensing with Bregman Iteration”, Journal of X-Ray Science and Technology, vol. 21, no. 2, 177-192, 2013.
K Choi, J Wang, L Zhu, T-S Suh, S Boyd, L Xing, Compressed Sensing based Cone-Beam Computed Tomography Reconstruction with a First-Order Method”, Medical Physics, vol. 37, no. 9, 5113-5125, 2010.