Jinlong Wu
Scholar

Jinlong Wu

Google Scholar ID: Rl1olXgAAAAJ
University of Wisconsin-Madison
Computational Fluid DynamicsScientific Machine LearningData AssimilationStochastic ProcessesUncertainty Quantification
Citations & Impact
All-time
Citations
3,944
 
H-index
21
 
i10-index
28
 
Publications
20
 
Co-authors
16
list available
Resume (English only)
Academic Achievements
  • 2018 Paul E. Torgersen Graduate Student Research Excellence Award; 2018 Pratt Fellowship; 2017 Society for Industrial and Applied Mathematics Travel Award; 2016 American Physical Society DFD Travel Award; 2014 Pratt Fellowship.
Research Experience
  • Assistant Professor at the Department of Mechanical Engineering, University of Wisconsin-Madison. The research of Dr. Wu’s group mainly focuses on developing efficient and reliable data-driven modeling and simulation techniques for complex dynamical systems (e.g., multi-scale, multi-physics, chaotic) in engineering applications.
Education
  • PhD 2018, Virginia Tech; MS 2014, Southeast University; BS 2011, Southeast University.
Background
  • Research interests include Physics-Informed Machine Learning, Bayesian Inference, Turbulence, Computational Fluid Dynamics, Climate Dynamics, Uncertainty Quantification, Data Assimilation, Inverse Problems, Stochastic Modeling, and Multi-Scale Modeling.