Welcome to CIG!

Computational Imaging is a rapidly growing research area at the intersection of data science, computer vision, machine learning, applied mathematics, and physical sciences. Computational Imaging Group (CIG) develops advanced algorithms for fast and reliable acquisition, efficient processing, and automated analysis of imaging data, including 2D, 3D, or 4D images and videos. Applications include biomedical imaging, material sciences, geospatial sensing, space exploration, industrial inspection, and consumer electronics. We develop algorithms and theoretical foundations for enabling advanced capabilities in future imaging and sensing systems. We have expertise in deep learning, large-scale optimization, signal and image processing, computer vision, and statistical inference. Our research is inherently interdisciplinary and includes collaborations with researchers in optics, medicine, physics, materials, and biology.

Interested in doing research in CIG? Multiple opportunities at all levels.


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Latest News

November 2022: New paper DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction.

November 2022: Three CIG members—Jiaming, Weijie, and Shirin—will travel to NeurIPS 2022 in New Orleans, LA, to present our work on online deep equilibrium learning.

November 2022: Ulugbek will give an invited talk at the Workshop on Mathematical Models for Plug-and-play Image Restoration on 7-8 December 2022 in Paris, France.

November 2022: Ulugbek was elected as a member of the IEEE Bio Imaging and Signal Processing Technical Committee (BISP TC).

November 2022: New book chapter on “Optimization Algorithms for MR Reconstruction” in Chapter 3 of the book Magnetic Resonance Image Reconstruction.

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