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Research area(s)

Finite element, and related, methods in space and time for partial differential equations arising in continuum mechanics. Particularly interested in dispersive materials such as polymers and lossy dielectrics for which the constitutive laws exhibit memory effects. Currently interested in using virtual training data from forward solves to solve inverse problems using deep neural networks.

Research Interests

Computational Science, Engineering and Mathematics: finite element and related methods. Dispersive media (viscoelasticity and lossy dielectrics); deep neural nets and machine learning.