Quanling Deng
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About
Quanling Deng was born in Hunan, China. He moved to the USA to study mathematics in August 2011 and graduated with a Ph.D. in mathematics at the University of Wyoming in May 2016. In October 2016, he joined Curtin University as a research associate at the Department of Applied Geology. He became an affiliated member of Curtin Institute for Computation and Curtin TIGeR. He was a visiting scholar at INRIA (Paris France, 5-6/2019), AGH University of Science and Technology (Krakow Poland, 6-7/2018, 5/2019), École des Ponts ParisTech (ENPC, Paris France, 5-6/2017), and others. He joined the Department of Mathematics at the University of Wisconsin-Madison as a Van Vleck visiting assistant professor on March 12, 2020. In Feburary 2022, he joined the School of Computing as a Lecturer at the Australian National University.
Affiliations
Research interests
Applied Mathematics and Applied Machine Learning: Sea ice floe dynamics, ocean and atmosphere dynamics, deep neural networks, U-net, feature selection/interaction.
Uncertainty Quantification and Data Assimilation: stochastic models, Kalman filters, Ornstein-Uhlenbeck process, conditional Gaussian filter, Lagrangian and Eulerian data assimilation
Computational Mathematics:
finite element methods (FEM, SGFEM, SoftFEM), isogeometric analysis (IGA), discontinuous Galerkin (DG) methods, hybrid high-order method (HHO), generalized-$\alpha$ methods, spectral analysis, error estimates, operator splitting schemes, preconditioners, parallel computing.