Upcoming MAMS Seminar Series

Spring 2024

1/31/2023, Wed. 4-5 pm in Sears 439
Speaker: Dr. Anuj Abhishek
Title: An operator learning framework for an inverse problem in Electrical Impedance Tomography
Abstract: Neural network architectures such as Fourier Neural Operators (FNO) and Deep Operator Networks (Deep-O-Net) have been shown to be fairly useful in approximating an operator between two function spaces. In this talk, we will briefly review an inverse problem that arises in Electrical Impedance tomography as well as review such operator learning network architectures. We will then see how we might use similar network architectures to learn (or, approximate) a map that takes in as its input the Dirichlet to Neumann operator and outputs the corresponding conductivity function. This is based on an unfinished ongoing work with my collaborator, Thilo Strauss (Xi’an Jiaotong-Liverpool University).