Ulugbek S. Kamilov

Research Scientist

Computational Sensing
Mitsubishi Electric Research Laboratories (MERL)

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


October 2016: My 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.

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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 15 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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