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May 4, 2017, 9:59 PM
He develops mathematical theories and algorithms to solve inverse problems arising from signal processing, wireless communication and image processing. A total of three prizes is awarded this year by the Society for Industrial and Applied Mathematics (SIAM). Shuyang's prize is for his paper "Self-calibration and biconvex compressive sensing", coauthored with his advisor, Prof. Thomas Strohmer.