Scholar
Guang Lin
Google Scholar ID: 7lWVV2IAAAAJ
Associate Dean for Research, Moses Cobb Stevens Professor in Mathematics, Mech Eng Purdue University
Citations & Impact
Citations
5,178
H-index
38
i10-index
140
Publications
20
Co-authors
51
list available
Contact
Publications
Resume (English only)
Academic Achievements
- He has received various awards, such as the NSF CAREER Award, Mid-Career Sigma Xi Award, University Faculty Scholar, College of Science Research Award, Mathematical Biosciences Institute Early Career Award, and Ronald L. Brodzinski Award for Early Career Exceptional Achievement.
Research Experience
- Currently serves as the Associate Dean for Research and Innovation at the College of Science, and Director of Data Science Consulting Service at Purdue University. Before joining Purdue, he worked as a Research Scientist at DOE Pacific Northwest National Laboratory.
Education
- Ph.D. in Applied Mathematics from Brown University in 2007; M.S. in Applied Mathematics from Brown University in 2004; M.S. in Mechanics and Engineering Science from Peking University, P.R. China in 2000; B.S. in Mechanics from Zhejiang University, P.R. China in 1997.
Background
- Research interests include reliable AI, interpretable and robust AI for the discovery of physical laws, interpretable and reliable AI for health, physics-informed AI, neural operator, fair AI, big data analysis and statistical machine learning, predictive modeling and uncertainty quantification, scientific computing and computational fluid dynamics, stochastic multiscale modeling. His professional field covers artificial intelligence, machine learning, uncertainty quantification, big data analysis, computational and predictive science, and statistical learning.
