Welcome to CIG!
Computational Imaging is a rapidly growing research area at the intersection of artificial intelligence, computer vision, image processing, applied mathematics, and physical sciences. Computational Imaging Group (CIG) advances 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
May 2025: Stochastic Deep Restoration Priors for Imaging Inverse Problems was accepted to ICML 2025.
April 2025: Ulugbek Kamilov was inaugurated into Donald L. Snyder Career Development Professorship at WashU. Congratulations!
April 2025: Ulugbek Kamilov was awarded IEEE Signal Processing Society’s Pierre-Simon Laplace Early Career Technical Achievement Award for major contributions to theory and practice in computational imaging. Congratulations!
April 2025: Jiaming Liu was awarded Outstanding Doctoral Dissertation Award by the Department of Electrical and Systems Engineering at WashU. Congratulations!
April 2025: Three papers accepted to IEEE Statistical Signal Processing Workshop 2025 taking place on 8-11 June 2025 in Edinburgh, UK.
[see more]