Charles Bouman is a professor at Purdue University specializing in image and statistical signal processing, with a career spanning decades of research and academic leadership. He holds a Ph.D. in Electrical Engineering from Princeton and a BSEE from the University of Pennsylvania, grounding his work in rigorous theory and practical algorithm design. Known for pioneering contributions to image reconstruction and denoising, his research blends probabilistic modeling with computational methods to solve real-world imaging problems. Based in West Lafayette, he mentors the next generation of researchers while maintaining an active research program that translates into impactful publications and collaborations. Less obvious: despite a long academic tenure, he remains deeply engaged with hands-on algorithm development and interdisciplinary applications across imaging modalities.
9 years of coding experience
BSEE, Electrical Engineering, BSEE, Electrical Engineering at University of Pennsylvania
Ph.D., Electrical Engineering, Ph.D., Electrical Engineering at Princeton University
Contributions:18 commits, 20 pushes, 1 branch in 2 years 1 month
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