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.


Latest News

August 2023: Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees was accepted to IEEE Transactions on Computational Imaging.

August 2023: The recording of Ulugbek’s keynote talk at the ISCS 2023 is available on YouTube.

July 2023: DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction was accepted to ICCV 2023.

July 2023: DOLPH: Diffusion Models for Phase Retrieval was accepted to the Asilomar Conference on Signals, Systems, and Computers 2023.

June 2023: Ulugbek will deliver a keynote talk at the International Symposium on Computational Sensing on 12-14 June 2023 in the Grand Duchy of Luxembourg.

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