Research output per year
Research output per year
Research activity per year
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.
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.
Research output: Contribution to conference › Paper › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
5/07/23 → 29/12/23
Project: Research