Ulugbek S. Kamilov
Ulugbek S. Kamilov is an Assistant Professor and the Director of Computational Imaging Group (CIG) at Washington University in St. Louis. His main research area is computational imaging with an emphasis on efficient acquisition, reconstruction, processing, and analysis of spatiotemporal data. His research interests include signal and image processing, large-scale optimization, machine learning, computer vision, and statistical inference.
Prof. Kamilov obtained his M.Sc. in Communication Systems and Ph.D. in Electrical Engineering in 2011 and 2015, respectively, from the École polytechnique fédérale de Lausanne (EPFL), Switzerland. He was an Exchange Student at Carnegie Mellon University (CMU), Pittsburgh, PA, USA, in 2007, a Visiting Student at Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, in 2010, and a Visiting Student Researcher at Stanford University, Stanford, CA, USA, in 2013. From 2015 to 2017, he was a Research Scientist at Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA.
Prof. Kamilov is recipient of the IEEE Signal Processing Society’s 2017 Best Paper Award (with V. K. Goyal and S. Rangan). His Ph.D. thesis was selected as a finalist for the EPFL Doctorate Award in 2016. His work on Learning Tomography (LT) was featured in Nature “News and Views” in 2015.
Prof. Kamilov is a member of IEEE Technical Committee on Computational Imaging (2016-present). He was an Associate Editor for the SPIE Journal of Electronic Imaging (2017-2018). He served as a program chair for OSA Mathematics in Imaging 2019 in Munich, Germany. He served as a Computational Imaging area chair for IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP) 2017 in New Orleans, LA, USA, and 2019 in Brighton, UK. He has also co-organized a special session on “Large-Scale Computational Imaging with Wave Models” at ICASSP 2017, “Computational Microscopy” at BASP 2019, “Recent Advances in Signal Processing for Large-Scale Computational Imaging” at ICASSP 2019, and “Recent Progress in Computational Microscopy” at Electronic Imaging 2020. He is a member of IEEE, SIAM, and OSA.