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 machine learning for efficient acquisition, reconstruction, processing, and analysis of imaging data. His research interests include signal and image processing, large-scale optimization, machine learning, computer vision, and statistical inference.
Prof. Kamilov obtained his BSc/MSc in Communication Systems and PhD 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 NSF CAREER Award and IEEE Signal Processing Society’s 2017 Best Paper Award (with V. K. Goyal and S. Rangan). He was among 55 early-career researchers in the USA selected as a Fellow for the Scialog initiative on “Advancing Bioimaging” in 2021. 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. He was a plenary speaker at the international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques (iTWIST) in 2018.
Prof. Kamilov is an Associate Editor of IEEE Transactions on Computational Imaging (2019-present) and a Senior Member of the editorial board of IEEE Signal Processing Magazine (2022-present). He is an Advisory Member of IEEE Technical Committee on Computational Imaging (2022-present), where he was previously a Member (2016-2022). He is an Associate Member of IEEE Technical Committee on Bio Imaging and Signal Processing (2022-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 organized several large computational-imaging workshops, including IMA Special Workshop on Computational Imaging in 2019, Learning for Computational Imaging (LCI) Workshop at ICCV 2021, IEEE International Workshop on Computational Cameras and Displays (CCD) at CVPR 2022. He is a Senior Member of IEEE.