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Ulugbek S. Kamilov

Research Scientist

Multimedia Group
Mitsubishi Electric Research Laboratories

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

News

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:

  • "Compressive Tomographic Radar Imaging with Total Variation Regularization," with D. Liu and P. T. Boufounos.
  • "Coherent Distributed Array Imaging under Unknown Position Perturbations," with D. Liu and P. T. Boufounos.
  • "Online Blind Deconvolution for Sequential Through-the-Wall-Radar-Imaging," with H. Mansour, D. Liu, P. Orlik, P. T. Boufounos, K. Parsons, and A. Vetro.

June 2016: A talk on "Trainable iterative algorithms for computational sensing" at NYU Tandon School of Engineering.

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Biography

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 and sensing with an emphasis on the development and analysis of large-scale computational techniques for applications in biomedical and industrial imaging. His research interests cover signal processing aspects of multimodal sensor fusion, tomographic imaging, machine learning, through-the-wall imaging, and distributed sensing. He has co-authored 14 journal and 27 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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