Inverse Problems and Imaging

jwcalder@umn.edu
partial differential equations, numerical analysis, applied probability, machine learning, image processing and computer vision

rylai@umn.edu
inverse problems and partial differential equations

wleeb@umn.edu
applied mathematics, computational harmonic analysis, signal and image processing, data analysis

lerman@umn.edu
computational harmonic analysis, analysis of large data sets and statistical learning, bio-informatics

yulonglu@umn.edu
Mathematical foundations of machine learning and data sciences, applied probability and stochastic dynamics, applied analysis and PDEs, Bayesian and computational statistics, inverse problems and uncertainty quantification

olver@umn.edu
Lie groups, differential equations, computer vision, applied mathematics, differential geometry, mathematical physics

santosa@umn.edu
applied mathematics and modelling, optimization, imaging

liwang@umn.edu
numerical analysis, scientific computing, applied math