Current Group Member

Dr. Karina Koval

Postdoctoral Researcher

Current and Upcoming Projects

Optimal Control and Optimal Experimental Design for MRI and Photoacoustic Imaging (MBAI)
Start: 2022-04-01
End: 2028-03-31
Principal Investigators: Roland Herzog, Robert Scheichl
Staff: Karina Koval
Funded by: Carl Zeiss Foundation within the CZS Breakthroughs funding scheme
Part of: Model-Based AI: Physical Models and Deep Learning for Imaging and Cancer Treatment

Latest Publications

  • Tiangang Cui, Karina Koval, Roland Herzog and Robert Scheichl
    Subspace accelerated measure transport methods for fast and scalable sequential experimental design, with application to photoacoustic imaging, 2025
    arXiv:2502.20086
    bibtex 
    @ONLINE{CuiKovalHerzogScheichl:2025:1,
  AUTHOR = {Cui, Tiangang and Koval, Karina and Herzog, Roland and Scheichl, Robert},
  DATE = {2025-02},
  EPRINT = {2502.20086},
  EPRINTTYPE = {arXiv},
  TITLE = {Subspace accelerated measure transport methods for fast and scalable sequential experimental design, with application to photoacoustic imaging},
}
  • Karina Koval, Roland Herzog and Robert Scheichl
    Tractable optimal experimental design using transport maps
    Inverse Problems 40(12), 2024
    arXiv:2401.07971 doi:10.1088/1361-6420/ad8260
    bibtex 
    @ARTICLE{KovalHerzogScheichl:2024:2,
  AUTHOR = {Koval, Karina and Herzog, Roland and Scheichl, Robert},
  PUBLISHER = {IOP Publishing},
  DATE = {2024-10},
  DOI = {10.1088/1361-6420/ad8260},
  EPRINT = {2401.07971},
  EPRINTTYPE = {arXiv},
  JOURNALTITLE = {Inverse Problems},
  NUMBER = {12},
  PAGES = {125002},
  TITLE = {Tractable optimal experimental design using transport maps},
  VOLUME = {40},
}
  • Karina Koval and Ruanui Nicholson
    Non-intrusive optimal experimental design for large-scale nonlinear Bayesian inverse problems using a Bayesian approximation error approach, 2024
    arXiv:2405.07412
    bibtex 
    @ONLINE{KovalNicholson:2024:1,
  AUTHOR = {Koval, Karina and Nicholson, Ruanui},
  DATE = {2024-05},
  EPRINT = {2405.07412},
  EPRINTTYPE = {arXiv},
  TITLE = {Non-intrusive optimal experimental design for large-scale nonlinear Bayesian inverse problems using a Bayesian approximation error approach},
}

Recent Teaching