Ulugbek S. Kamilov

Research Scientist

Computational Sensing
Mitsubishi Electric Research Laboratories (MERL)

201 Broadway, 8th Floor
Cambridge, MA 02139, USA


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: "Learning Bayesian Optimal FISTA with Error Backpropagation" was accepted for an invited session at International BASP Frontiers workshop 2017.

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Ulugbek S. Kamilov is a Research Scientist in the Computational Sensing Team at Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA. Dr. Kamilov obtained his B.Sc. and M.Sc. in Communication Systems, and Ph.D. in Electrical Engineering from the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, in 2008, 2011, and 2015, respectively. In 2007, he was an Exchange Student at Carnegie Mellon University (CMU), Pittsburgh, PA, USA, in 2010, a Visiting Student at Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, and in 2013, a Visiting Student Researcher at Stanford University, Stanford, CA, USA.

Dr. Kamilov's research focus is computational imaging with an emphasis on the development and analysis of large-scale computational techniques for biomedical and industrial applications. His research interests cover multimodal sensor fusion, tomographic imaging, machine learning, through-the-wall imaging, and distributed radar sensing. He has co-authored 16 journal and 28 conference publications in these areas. His Ph.D. thesis work on Learning Tomography (LT) was selected as a finalist for EPFL Doctorate Awards 2016 and was featured in the "News and Views" section of the Nature magazine. Since 2016, Dr. Kamilov is a member IEEE Special Interest Group on Computational Imaging.

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