Machine Learning has been widely applied to extract information from images and video. In this NSF-funded summer REU project, you will explore the application of machine learning to unconventional imaging. The Menon lab has recently shown that photography is possible without lenses (see here). You will extend this work to train a deep neural network to recognize common “lensless” images. This work could serve as the foundation for future work enabling ultralight and ultracompact “lensless” cameras for drones, self-driving vehicles, robots, etc. You are expected to be highly independent and self-motivated with previous experience in deep neural networks or other types of machine learning. Prior experience in imaging or optical engineering is not necessary. The REU is a prestigious NSF fellowship open only to current undergraduate students, and selection is highly competitive. Please email a brief note of interest with your current resume to Rajesh Menon at rmenon[at]eng.utah.edu.
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