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 2024: Bioengineering approaches for patient-specific analysis of placenta structure and function was accepted to Placenta.
August 2024: Congratulations to the CIG alum Yu Sun for joining Johns Hopkins University as an Assistant Professor.
July 2024: Congratulations to the CIG alum Xiaojian Xu for joining GE HealthCare as an AI Research Scientist.
June 2024: Congratulations to Dr. Jiaming Liu for defending his PhD thesis. Jiaming will be moving to Stanford as a postdoctoral researcher.
May 2024: Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis was accepted to ICML 2024.
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