Professor Kamilov’s main research areas are in computational imaging with an emphasis on the development of computational methods for biomedical and industrial imaging. He has a strong interest in image reconstruction, compressive imaging, convex and nonconvex optimization, machine learning, and statistical inference.
Professor Kamilov earned his BSc and MSc in Communication Systems, and PhD in Electrical Engineering from the École polytechnique fédérale de Lausanne (EPFL), Switzerland. His thesis work on “Learning Tomography (LT)” was selected as a finalist for EPFL Doctorate Awards 2016 and was featured in Nature “News and Views.”
Professor Kamilov joined Washington University in St. Louis from Mitsubishi Electric Research Laboratories in Cambridge, Mass., where was a research scientist in computational sensing.
Professor Kamilov is a member of IEEE and OSA. He is also currently a member IEEE Special Interest Group on Computational Imaging.
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