Profile

Yiming Zhang

GE Global Research Center

Domain of Research: Scalable Machine Learning, Optimization, Uncertainty Quantification

Yiming Zhang is currently working at GE Global Research as a Probabilistic Design Engineer. He has been working on scalable machine learning for uncertainty quantification and optimization with industrial applications. He received his Ph.D. in the Department of Mechanical and Aerospace Engineering at University of Florida (UF) in the spring of 2018. He worked under Dr. Raphael T. Haftka and Dr. Nam-Ho Kim as a part of the Structural & Multidisciplinary Optimization Group during the graduate study. Before the Ph.D. study, he received Master of Science from UF with a focus on topology optimization and Bachelor of Science from Shanghai Jiao Tong University with a focus data driven schemes in manufacturing. He has been a main participant for several multi-disciplinary projects across university, industry and national labs. He has worked as research assistant on data analytics for the design and validation of various systems including Exascale computer architecture, computational fluid dynamic simulations and material tests. He has been serving as reviewers for Structural and Multidisciplinary Optimization Journal, Journal of Mechanical Design, AIAA SciTech conferences.