معرفی
Zhaiming Shen is a Visiting Assistant Professor in the School of Mathematics at Georgia Institute of Technology. He completed his Ph.D. in Mathematics at the University of Georgia and holds advanced degrees in Computer Science and Statistics. His research spans Mathematics of Data Science, Graph-based Learning, Approximation Theory, Manifold Learning, and Machine Learning.
- Ph.D. in Mathematics (UGA, 2024)
- M.S. in Computer Science (UGA, 2022)
- M.S. in Statistics (UGA, 2021)
- M.Phil. in Mathematics (University of Pennsylvania, 2017)
- B.S. in Mathematics (University of Liverpool, 2014)
His work focuses on intersections of graph-based methods, neural networks, and optimization for problems in data science and partial differential equations. He has contributed to Physics-Informed Neural Networks for PDE interface problems and Compressed Sensing.
Contact: zshen49@gatech.edu | Georgia Tech Profile
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