Kevin Hsieh
Biography
Kevin Hsieh is a Ph.D. student at Carnegie Mellon
University, advised by Phil Gibbons and Onur Mutlu. He is
interested in research problems that lie at the
intersection of Machine Learning, Distributed System, and
Computer Architecture. His current research focus is on
distributed machine learning systems and near-data
processing architectures. Before the Ph.D program, he was
a manager of a 14-person team in Mediatek, Taiwan, where
he worked on processor/system architecture and system
performance optimization on mobile SoCs.