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Charles Bouman is a Showalter Professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University. He specializes in various fields including image processing, statistical image modeling, pattern recognition, and medical imaging. His work focuses on challenging inverse problems related to tomography and image printing displays. Bouman has published numerous research papers and made significant contributions to both theoretical and practical aspects of imaging technology, making him a recognized leader in his field. His education includes a Bachelor of Science in Electrical Engineering from the University of Pennsylvania, a Master of Science from the University of California at Berkeley, and a PhD from Princeton University.
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