The National Science Foundation (NSF) awarded a $200,000 Project Grant under the Engineering (CFDA 47.041) program to The Research Foundation for the State University of New York (RF-SUNY) at the University at Albany. The grant, titled "CCSS: Uncertainty-Aware Computational Imaging in the Wild: A Bayesian Deep Learning Approach in the Latent Space," aims to develop advanced Bayesian deep learning techniques for computational imaging systems that can effectively handle various uncertainties in real-world imaging scenarios. The project focuses on three key tasks: 1) flow-based nonuniform kernel estimation in the latent space, 2) memory-enhanced deep generative models for image reconstruction, and 3) real-world applications in deep tissue imaging such as super-resolution microscopy. This grant reflects NSF's commitment to advancing engineering research and innovation that can enhance the nation's technological capabilities and improve quality of life. The award period runs from November 1, 2023 through July 31, 2026.
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