Mitsubishi Electric Research Laboratories
201 Broadway, 8th Floor
Cambridge, MA 02139
April 2015: Our manuscript "A Learning Approach to Optical Tomography" was accepted for publication in Optica. It was co-authored with Morteza Shoreh, Dr. Ioannis Papadoupoulos, Dr. Alexandre Goy, Dr. Cedric Vonesch, Prof. Michael Unser, and Prof. Demetri Psaltis.
April 2015: The PhD Thesis "Sparsity-Driven Statistical Inference for Inverse Problems" is now available online.
Ulugbek Kamilov obtained his PhD in Electrical Engineering from the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, in 2015.
Ulugbek's PhD research developed statistical estimation techniques for solving inverse problems in biomicroscopy. His interests include signal acquisition and processing, signal representation, computational imaging, and resolution of inverse problems. Prior to joining to MERL in 2015, Ulugbek was an exchange student at Carnegie Mellon University in 2007, a visiting student at MIT in 2010, and a visiting student researcher at Stanford University.
I develop new methods for computational resolution of imaging inverse problems. Specifically, my work covers three areas: (a) study of the physical measuremnt processes; (b) design of an inference algorithm that can turn the measurements into the desired image; (c) theoretical analysis of the algorithms. My work has been directly applied to various acquisition modalities such as optical tomographic microscopy, magnitic resonance imaging, radar, etc.
I continuously study various tools that would allow me to perform inference on large dimensional data in a more efficient way. In particular, probabilistic inference algorithms are of high interest to me at the moment.
My full CV can be found [here]. For my LinkedIn go here .
Google Scholar profile: [here]. Researcher ID profile:
S. Rangan, A. K. Fletcher, P. Schniter, and U. S. Kamilov, "Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization," arXiv:1501.01797 [cs.IT], January 2015. [arXiv]
U. S. Kamilov, I. N. Papadopoulos, M. H. Shoreh, A. Goy, C. Vonesch, M. Unser, and D. Psaltis, "A Learning Approach to Optical Tomography," Optica, vol. 2, no. 6, pp. 517-522, June 2015. [link] [arXiv]
U. S. Kamilov, I. N. Papadopoulos, M. H. Shoreh, D. Psaltis, and M. Unser, "Isotropic inverse-problem approach for two-dimensional phase unwrapping," J. Opt. Soc. Am. A, vol. 32, no. 6, pp. 1092-1100, June 2015. [link] [arXiv]
U. S. Kamilov, E. Bostan, and M. Unser, "Variational Justification of Cycle Spinning for Wavelet-Based Solutions of Inverse Problems," IEEE Signal Process. Letters., vol. 21, no. 11, pp. 1326-1330, November 2014. [link]
U. S. Kamilov, S. Rangan, A. K. Fletcher, and M. Unser, "Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning," IEEE Trans. Inf. Theory., vol. 60, no. 5, pp. 2969-2985, May 2014. [link] [nips] [arXiv] [code]
U. S. Kamilov, V. K. Goyal, and S. Rangan, "Message-Passing De-Quantization with Applications to Compressed Sensing," IEEE Trans. Signal Process., vol. 60, no. 12, pp. 6270-6281, December 2012. [link] [isit] [arXiv] [gamp]
U. S. Kamilov, E. Bostan, and M. Unser, "Wavelet Shrinkage with Consistent Cycle Spinning Generalizes Total Variation Denoising," IEEE Signal Process. Letters, vol. 19, no. 4, pp. 187-190, April 2012. [link] [supplement] [code]