Welcome to the Computational Imaging Group (CIG)!

Computational Imaging is a rapidly growing research area at the intersection of image processing, computer vision, physical sciences, and machine learning. CIG researches new methods for reliable acquisition, efficient processing, and automated analysis of spatiotemporal data. Application include biomedical imaging, material sciences, geospatial intelligence, space exploration, industrial inspection, and consumer electronics. We develop algorithms and theoretical foundations for enabling advanced capabilities in future imaging systems. We have expertise in large-scale optimization, signal and image processing, machine learning, computer vision, and statistical inference. Our research is inherently interdisciplinary and includes collaborations with researchers in optics, medicine, physics, and biology.



[CIG-2018]

Latest News

June 2019: Ulugbek will be speaking at Learning for Computational Imaging (LCI) Workshop at ICCV 2019, taking place on 2 Nov 2019 in Seoul, Korea.

June 2019: Ulugbek will be speaking at IPAM Deep Learning and Medical Applications workshop taking place on 27-31 Jan 2020 in Los Angeles, CA, USA.

June 2019: Three summer REU students joined CIG, Julia Dai (from WashU), Ishika Jain (from Cornell), T.A. Nguyen (from George Mason University). Welcome!

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