EducationPhD, École Polytechnique Fédérale de Lausanne
MSc, École Polytechnique Fédérale de Lausanne
BSc, École Polytechnique Fédérale de Lausanne
Combines computational imaging, optimization, and machine learning to enable new intelligent imaging technology
Professor Kamilov’s main research area is computational imaging. He develops advanced algorithms for various imaging applications including optical microscopy and magnetic resonance imaging (MRI), radar, and autonomous driving. He has a strong interest in image reconstruction, compressive imaging, convex and nonconvex optimization, machine learning, and statistical inference.
Ulugbek Kamilov joined Washington University in St. Louis in 2017 from Mitsubishi Electric Research Laboratories, where he was a research scientist in computational sensing. He obtained his PhD in Electrical Engineering in 2015 from the École polytechnique fédérale de Lausanne (EPFL), Switzerland. He was an exchange student at Carnegie Mellon University in 2007, a visiting student at Massachusetts Institute of Technology in 2010, and a visiting student researcher at Stanford University in 2013.
Professor Kamilov is a recipient of the IEEE Signal Processing Society’s 2017 Best Paper Award (with V. Goyal and S. Rangan). His PhD thesis was selected as a finalist for EPFL’s Doctorate Award in 2016. He is an Associate Editor for IEEE Transactions on Computational Imaging since 2019 and a member of Computational Imaging Technical Committee of IEEE Signal Processing Society since 2016.