Publications and talks


Preprints

  • Learning-informed parameter identification in nonlinear time-dependent PDEs axiv

Peer reviewed

  • B. Kaltenbacher, T. T. N. Nguyen. Discretization of parameter identification in PDEs using neural networks, Inverse Problems, (to appear), 38pp. open access

  • H. Hoffmann, A. Wald, T. T. N. Nguyen. Parameter identification for elliptic boundary value problems: an abstract framework and applications, Inverse Problems, 38(7), 2022, 40pp, Art. Id. 075005. open access

  • T. T. N. Nguyen, A. Wald. On numerical aspects of parameter identification for the Landau-Lifshitz-Gilbert equation in Magnetic Particle Imaging, Inverse Problems and Imaging, 16(1) , 2022, 29pp. pdf

  • B. Kaltenbacher, T. T. N. Nguyen. A model reference adaptive system approach for nonlinear online parameter identification, Inverse Problems, 37(5), 2021, 26pp, Art. Id. 055006. open access

  • B. Kaltenbacher, T. T. N. Nguyen, A. Wald, T. Schuster. Parameter identification for the Landau-Lifshitz-Gilbert equation in Magnetic Particle Imaging (MPI), Time-dependent Problems in Imaging and Parameter Identification, Springer, 2021, pp. 377-412. pdf

  • B. Kaltenbacher, T. T. N. Nguyen, O. Scherzer. The tangential cone condition for some coefficient identification model problems in parabolic PDEs, Time-dependent Problems in Imaging and Parameter Identification, Springer, 2021, pp. 121-163. pdf

  • T. T. N. Nguyen. Landweber-Kaczmarz for parameter identification in time-dependent inverse problems: All-at-once versus Reduced version, Inverse Problems, 35(3), 2019, 29pp, Art. Id. 035009. open access


Thesis

  • T. T. N. Nguyen. Parameter identification for time-dependent inverse problems, PhD Thesis, University of Klagenfurt (2020). Supervior: Barbara Kaltenbacher. pdf

    GIP prize on Inverse Problems

Invited talks

  • Landweber-Kaczmarz for parameter identification in time-dependent inverse problems: All-at-once versus Reduced version - SIAM Conference on Imaging Science, Bologna, June 2018.

  • Parameter identification for the Landau-Lifshitz-Gilbert equation in Magnetic Particle Imaging - Applied Inverse Problems conference, Grenoble, July 2019.

  • On numerical aspects of parameter identification for the Landau-Lifshitz-Gilbert equation in Magnetic Particle Imaging - International Congress on Industrial and Applied Mathematics, Valencia, July 2019.

  • The tangential cone condition for some coefficient identification model problems in parabolic PDEs - 1st Alps-Adriatic Inverse Problems Workshop, Klagenfurt, November 2019.

  • Parameter identification for the Landau-Lifshitz-Gilbert equation in Magnetic Particle Imaging - SIAM Conference on Imaging Science, Canada, July 2020.

  • Online nonlinear parameter identification - SIAM Conference on Imaging Science, Canada, July 2020.

  • On numerical aspects of parameter identification for the Landau-Lifshitz-Gilbert equation in Magnetic Particle Imaging - Fall Western AMS Sectional Meeting, US, October 2021.

  • On numerical aspects of parameter identification for the Landau-Lifshitz-Gilbert equation in Magnetic Particle Imaging - SIAM Conference on Imaging Science, Berlin, March 2022.

  • Parameter identification for PDEs: from neural-network-based learning to discretized inverse problems - International Conference on Differential Equations and Applications, Hanoi, August 2022.


  • Research seminars: Univeristy of Klagenfurt, Saarland University, RICAM, University of Graz, Graz University of Technology, University of Konstanz, Technical University of Munich, University of Hamburg, University of Goettingen.