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Naichen Shi is an Assistant Professor in the Industrial Engineering and Management Sciences and Mechanical Engineering departments at Northwestern Engineering. His research interests lie primarily in data mining, quality control, statistics, and reliability engineering. He has a strong academic background, having completed his education at the University of Michigan in Ann Arbor and Peking University in Beijing. Shi is recognized for his contributions to the field, winning several accolades, including the Data Mining Paper Competition at INFORMS in 2024 and a finalist position in the Quality, Statistics, Reliability Referred Paper Competition, also at INFORMS the same year. Additionally, he has received the Rackham travel grant from the University of Michigan in both 2023 and 2024 and the Wilson Prize for outstanding student papers focusing on industrial engineering applications. His academic works reflect a commitment to advancing knowledge in statistical methodologies and engineering applications.
Standard PhD requirements for TGS departments including Chemistry, Physics, and Sociology.