Ulugbek S. Kamilov
Research Scientist
Computational Sensing
Mitsubishi Electric Research Laboratories (MERL)
201 Broadway, 8th Floor
Cambridge, MA 02139, USA
Computational Sensing
Mitsubishi Electric Research Laboratories (MERL)
201 Broadway, 8th Floor
Cambridge, MA 02139, USA
June 2017: I am happy to announce that I will be starting as an Assistant Professor at the Washington University this fall, to continue my work on computational imaging and sensing. I see this appointment as a natural next challenge and an opportunity for professional growth.
June 2017: Invited talk at OSA Mathematics in Imaging Meeting in San Francisco, CA, USA (26 June 2017 at 4:15 PM).
June 2017: Our accepted ICIP 2017 manuscript is now online "Online Convolutional Dictionary Learning for Multimodal Imaging."
May 2016: Three interns joined the Computational Sensing team at MERL: Yanting Ma from North Carolina State University (NCSU), Bihan Wen from UIUC, and Rakshith Srinivasa from Georgia Tech. Welcome!
May 2017: New preprint "SEAGLE: Sparsity-Driven Image Reconstruction under Multiple Scattering".
May 2017: Paper accepted to OSA Advanced Photonics Congress 2017: "Acceleration of FDTD-based Inverse Design Using a Neural Network Approach."
May 2017: Invited talk at Allerton Conference 2017 at the University of Illinois at Urbana-Champaign, IL, USA, in 3-6 October 2017.
May 2017: Two papers accepted to ICIP 2017: "Online Convolutional Dictionary Learning for Multimodal Imaging" and "Fusion of multi-angular aerial images based on epipolar geometry and matrix completion."
April 2017: CISE Seminar at Boston University (21 April 2017).
April 2017: CSE Colloquia at Washington University in St. Louis (12 April 2017).
April 2017: Guest lecture for the class "Computational Optical Imaging" at Boston University on nonlinear algorithms for optical imaging (10 April 2017).
April 2017: SEAS ISS Seminar of Harvard University (07 April 2017).
March 2017: Two papers were accepted to SPARS 2017: "Learning Convolutional Proximal Filters" (with D. Liu and H. Mansour) and "A Kaczmarz Method for Low Rank Matrix Recovery" (with H. Mansour and O. Yilmaz).
February 2017: A new internship position "MM1077: Large-scale Computational Radar Imaging". Come work with our Computational Sensing team in Cambridge, MA, USA, to develop novel methods for large-scale computational radar imaging.
February 2017: The manuscript "Compressive Imaging with Iterative Forward Models" is the Best Student Paper Award finalist at IEEE ICASSP 2016.
February 2017: Congratulations Alessandro Benfenati, Alice Bates, and Abdullah Abdulaziz for winning the Best Contribution Award at BASP 2017.
January 2017: The manuscript "Motion-Adaptive Depth Superresolution" was accepted to IEEE Transactions on Image Processing.
January 2017: Invited talk at OSA Mathematics in Imaging Meeting in San Francisco, CA, USA, in 26-29 June 2017.
January 2017: I will teach a course on advanced imaging techniques at iTWIST 2018 in Marseille, France, on 19-20 November 2018.
December 2016: Three papers and a letter were accepted to IEEE ICASSP 2016:
November 2016: The manuscript "A Parallel Proximal Algorithm for Anisotropic Total Variation Minimization" was accepted to IEEE Transactions on Image Processing.
November 2016: A new postdoctoral research position "MM21: Multimedia/Postdoctoral Researcher" at MERL. Join the Computational Sensing research team in Cambridge, MA, USA, to develop novel methods for physics-based inference.
November 2016: A new research internship "MM1008: Multi-spectral image fusion" at MERL. Join the Computational Sensing research team in Cambridge, MA, USA, to develop novel methods for multi-spectral image fusion.
November 2016: "Learning Bayesian Optimal FISTA with Error Backpropagation" was accepted for an invited session at International BASP Frontiers workshop 2017.
October 2016: The PhD thesis "Sparsity-Driven Statistical Inference for Inverse Problems" received a special distinction from EPFL's award committee. The official press release is here.
October 2016: Serving as an area chair of ICASSP 2017 for computational imaging.
October 2016: A new manuscript "Compressive Imaging with Iterative Forward Models" with Hsiou-Yuan Liu, Dehong Liu, Hassan Mansour, and Petros T. Boufounos.
September 2016: The manuscript "Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization" was accepted to IEEE Transactions on Information Theory.
September 2016: Delivered two keynote talks at CoSeRa 2016: "Coherent Distributed Array Imaging under Unknown Position Perturbations" and "Online Blind Deconvolution for Sequential Through-the-Wall-Radar-Imaging."
August 2016: The special sessing proposal for ICASSP 2017 on "Large-Scale Computational Imaging with Wave Models" was accepted. The session is organized jointly with Laura Waller and Brendt Wohlberg.
August 2016: Delivered two keynote talks at iTWIST 2016: "Learning MMSE Optimal Thresholds for FISTA" and "Minimizing Isotropic Total Variation without Subiterations."
July 2016: A new intern joined the computaitonal sensing team at MERL: Kévin Degraux from Université catholique de Louvain (UCL). Welcome!
July 2016: Three papers were accepted to CoSeRa 2016:
June 2016: A talk on "Trainable iterative algorithms for computational sensing" at NYU Tandon School of Engineering.
June 2016: The manuscript "A Recursive Born Approach to Nonlinear Inverse Scattering" was accepted to IEEE Signal Processing Letters.
May 2016: Three interns joined the computational sensing team at MERL: Hsiou-Yuan Liu from UC Berkeley, Maxim Goukhshtein from University of Toronto, and Yanting Ma from North Carolina State University. Welcome!
May 2016: Two papers were accepted to iTWIST 2016: "Learning MMSE Optimal Thresholds for FISTA" and "Minimizing Isotropic Total Variation without Subiterations."
April 2016: The manuscript "Depth Superresolution using Motion Adaptive Regularization" was accepted to IEEE ICMEW 2016.
April 2016: A talk on "Compressive Imaging with Learning Optical Tomography" at Tufts University's ECE Colloquia.
March 2016: The manuscript "Learning optimal nonlinearities for iterative thresholding algorithms" was accepted to IEEE Signal Processessing Letters.
March 2016: A talk about "Learning Approach To Optical Tomography" at the Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai, China.
March 2016: A new manuscript "A Recursive Born Approach to Nonlinear Inverse Scattering" with Dehong Liu, Hassan Mansour, and Petros T. Boufounos.
March 2016: A new manuscript "Depth Superresolution using Motion Adaptive Regularization" with Petros T. Boufounos.
March 2016: A new research internship "MM974: Sensor Fusion" at MERL. Join a research team in Cambridge, MA, USA, to develop novel methods for multimodal signal processing. Publication of the results is expected.
February 2016: My personal blog "Postscriptum..." was finally launched. This will be a place where I will share some additional thoughts about my research.
February 2016: Our manuscript "Optical tomographic image reconstruction based on beam propagation and sparse regularization" is the most downloaded paper in IEEE Transactions on Computational Imaging for January 2016.
January 2016: Our manuscript "Optical tomographic image reconstruction based on beam propagation and sparse regularization" was accepted to IEEE Transactions on Computational Imaging. It was co-authored with Dr. Ioannis Papadoupoulos, Morteza Shoreh, Dr. Alexandre Goy, Dr. Cedric Vonesch, Prof. Michael Unser, and Prof. Demetri Psaltis.
December 2015: New internship openning "MM930: Inverse Scattering" at MERL. Join a research team in Cambridge, MA, USA, to develop novel methods for computational inverse scattering. Publication of the results produced during the internship is expected.
December 2015: Three manuscripts were accepted for a presentation at ICASSP 2016 including "Parallel proximal methods for total variation minimization" .
December 2015: Recent manuscript "Learning optimal nonlinearities for iterative thresholding algorithms" is now available online. The manuscript was co-authored with Dr. Hassan Mansour.
October 2015: A recent manuscript "Parallel proximal methods for total variation minimization" is now available online. The manuscript was submitted to ICASSP 2016.
September 2015: Two papers were accepted to CAMSAP 2015. "Sparsity-Driven Distributed Array Imaging" was co-authored with Dr. Dehong Liu and Dr. Petros T. Boufounos. "Extended Target Localization with Total-Variation Denoising in Through-the-Wall-Imaging" was co-authored with Hiroyuki Handa, Dr. Hassan Mansour, and Dr. Dehong Liu.
September 2015: Matlab demo code is available for our phase unwrapping algorithm IRTV. You can download the code by clicking here
July 2015: Nature "News & Views" highlights our article on "Learning Approach to Optical Tomography."
June 2015: Our paper "Isotropic inverse-problem approach for two-dimensional phase unwrapping" is among the top-10 most downloaded papers in the Journal of the Optical Society of America A for the month of June.
April 2015: Delivered a talk "Inverse problem approach for phase unwrapping" for the ISS Seminar at the School of Engineering and Applied Sciences of Harvard University. Host Prof. Yue M. Lu.
April 2015: Our manuscript "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: My PhD Thesis "Sparsity-Driven Statistical Inference for Inverse Problems" is now available online.
April 2015: Our manuscript "Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization" was accepted to ISIT 2015. It was co-authored with Prof. Sundeep Rangan, Prof. Alyson Fletcher, and Prof. Phil Schniter.
April 2015: On Thursday, April 23 at 8:30–10:30, in Poster Area A of ICASSP 2015, I will be presenting our work "Variational Justification of Cycle Spinning for Wavelet-Based Solutions of Inverse Problems." This is a joint work with Emrah Bostan and Prof. Michael Unser.
March 2015: Our manuscript "Isotropic inverse-problem approach for two-dimensional phase unwrapping" is now available online. It was co-authored with Dr. Ioannis Papadoupoulos, Morteza Shoreh, Prof. Demetri Psaltis, and Prof. Michael Unser.
March 2015: We have a new internship opening at MERL MM880: Sensor fusion. This internship will deal with the development of novel technologies for sensor fusion. The ideal candidate will have a solid background in depth sensing, computer vision, and/or image processing.
February 2015: Our manuscript "Learning Approach to Optical Tomography" is now available online. It was co-authored with Morteza Shoreh, Dr. Ioannis Papadoupoulos, Dr. Alexandre Goy, Dr. Cedric Vonesch, Prof. Michael Unser, and Prof. Demetri Psaltis.
January 2015: Our manuscript "Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization" is now available online. It was co-authored with Prof. Sundeep Rangan, Prof. Alyson Fletcher, and Prof. Phil Schniter.
January 2015: I am pleased to announce that I will be joining Mitsubishi Electric Research Laboratories (MERL), Cambridge, USA, starting from February 2015. I will be a member of Multimedia group that specializes in the development of efficient solutions for the acquisition, representation, and processing of multimedia.
June 2014: Our manuscript "Variational Justification of Cycle Spinning for Wavelet-Based Solutions of Inverse Problems" was accepted for publication in IEEE Signal Processing Letter. It was co-authored with Emrah Bostan and Prof. Michael Unser.
May 2014: The paper "Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning" is now available online. It was co-authored with Prof. Sundeep Rangan, Prof. Alyson Fletcher, and Prof. Michael Unser.
November 2013: My work on consistent cycle spinning and MMSE estimators for Levy processes was featured and acknowledged in the book An Introduction to Sparse Stochastic Processes by Michael Unser and Pouya Tafti.
October 2013: Our teaching team for the course Signals and Systems received the 2013 Education Award from EPFL's Life Sciences Section (SV).
June 2013: Our papers "Consistent Discretization of Linear Inverse Problems using Sparse Stochastic Processes" and "Sparse Image Deconvolution with Message Passing" will be presented at SPARS 2013 on July 8 and 11, respectively.