Current Group Member

Prof. Dr. Roland Herzog

Group Leader

I joined Heidelberg University in April 2021 and established the group Scientific Computing and Optimization (SCOOP) at the Interdisciplinary Center for Scientific Computing (IWR).

You can find my CV here.

Research interests

My research interests include

  • optimal control of partial differential equations
  • large-scale optimization and its applications
  • numerical linear algebra
  • optimal experimental design
  • optimization on manifolds
  • numerical methods for partial differential equations

Current and Upcoming Projects

Machine Learning and Optimal Experimental Design for Thermodynamic Property Modeling
Start: 2025-03-01
End: 2028-02-29
Principal Investigators: Roland Herzog, Markus Richter
Staff: Viktor Martinek, Ophelia Frotscher
Funded by: DFG within the Priority Program funding scheme
Part of: Machine Learning in Chemical Engineering (SPP 2331)

Surrogate-Based Prediction of Cycle Fatigue Strength of Rotating Shafts and Process Optimization Using Flexible Kriging Models (dPRO2)
Start: 2024-10-01
End: 2027-09-30
Principal Investigators: Roland Herzog
Collaborators: Thomas Lampke, Lisa Winter, Andreas Schubert
Staff: Hannah Rickmann, Sahib Kaur, Pascale Neubauer
Funded by: DFG within the Package Proposal funding scheme
Part of: Data-Driven Process-Property Models to Predict Cycle Fatigue Strength (PAK 1105)

Phase Field Methods, Parameter Identification and Process Optimization (PoPULAR)
Start: 2023-07-01
End: 2026-06-30
Principal Investigators: Roland Herzog, Martin Stoll, Jan-Frederik Pietschmann
Staff: Pelin Çiloğlu, Carmen Tretmans
Funded by: DFG within the Research Unit funding scheme
Part of: Printed & Stable Organic Photovoltaics from Non-Fullerene Acceptors (FOR 5387)

Multilevel Architectures and Algorithms in Deep Learning
Start: 2023-01-01
End: 2025-12-31
Principal Investigators: Roland Herzog, Anton Schiela
Staff: Leonie Kreis, Frederik Köhne
Funded by: DFG within the Priority Program funding scheme
Part of: Theoretical Foundations of Deep Learning (SPP 2298)

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

  • Bastian Dittrich, Evelyn Herberg, Roland Herzog and Georg Müller
    A DC-reformulation for gradient-$L^0$-constrained problems in function spaces, 2025
    arXiv:2506.11917
    bibtex 
    @ONLINE{DittrichHerbergHerzogMueller:2025:1,
  AUTHOR = {Dittrich, Bastian and Herberg, Evelyn and Herzog, Roland and Müller, Georg},
  DATE = {2025-06},
  EPRINT = {2506.11917},
  EPRINTTYPE = {arXiv},
  TITLE = {A DC-reformulation for gradient-$L^0$-constrained problems in function spaces},
}
  • Hannah Rickmann, Evelyn Herberg and Roland Herzog
    Global convergence of semismooth Newton methods for quadratic problems
    GAMM Archive for Students 7(1), p.14-30, 2025
    doi:10.14464/gammas.v7i1.810
    bibtex 
    @ARTICLE{RickmannHerbergHerzog:2025:1,
  AUTHOR = {Rickmann, Hannah and Herberg, Evelyn and Herzog, Roland},
  PUBLISHER = {Technische Universität Chemnitz},
  DATE = {2025-05},
  DOI = {10.14464/gammas.v7i1.810},
  JOURNALTITLE = {GAMM Archive for Students},
  NUMBER = {1},
  PAGES = {14--30},
  TITLE = {Global convergence of semismooth Newton methods for quadratic problems},
  VOLUME = {7},
}
  • Johannes Wagner, Evelyn Herberg and Roland Herzog
    Experiences with physics-informed neural networks for optimal control problems
    GAMM Archive for Students 7(1), p.31-45, 2025
    doi:10.14464/GAMMAS.V7I1.813
    bibtex 
    @ARTICLE{WagnerHerbergHerzog:2025:1,
  AUTHOR = {Wagner, Johannes and Herberg, Evelyn and Herzog, Roland},
  PUBLISHER = {Technische Universität Chemnitz},
  DATE = {2025-05},
  DOI = {10.14464/GAMMAS.V7I1.813},
  JOURNALTITLE = {GAMM Archive for Students},
  NUMBER = {1},
  PAGES = {31--45},
  TITLE = {Experiences with physics-informed neural networks for optimal control problems},
  VOLUME = {7},
}
  • 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},
}

Latest Software

Recent Teaching

Currently Supervising

  • M.Sc. Thesis of Julius Meyer Ohlendorf:
    Optimization of Battery Storage Systems in Power Markets using Reinforcement Learning
    M.Sc. Physik, Heidelberg University
    Supervision: Ullrich Köthe, Roland Herzog and Viktor Martinek
    (mit Statkraft)
  • M.Sc. Thesis of Viktor Stein:
    Genodesic: Trajectory Reconstruction in Single-Cell Sequencing Data using Score Based Methods
    M.Sc. Mathematik, Heidelberg University
    Supervision: Evelyn Herberg, Simon Anders and Roland Herzog
  • M.Sc. Thesis of Jeanine Wippermann:
    Inverse Reinforcement Learning in Trust Games
    M.Sc. Scientific Computing, Heidelberg University
    Supervision: Roland Herzog, Georgia Koppe and Viktor Martinek
  • B.Sc. Thesis of Gero Brunke:
    Sorting by Linear Programming
    B.Sc. Mathematik, Heidelberg University
    Supervision: Roland Herzog and Georg Müller

Recent Events Organized