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
A Calculus for Non-Smooth Shape Optimization with Applications to Geometric Inverse Problems
Start: 2021-06-15
End: 2025-12-31
Principal Investigators: Roland Herzog,
Stephan Schmidt
Staff: Manuel Weiß,
Lukas Baumgärtner
Funded by:
DFG
within the
Priority Program funding scheme
Part of: Non-Smooth and Complementarity-based Distributed Parameter Systems
(SPP 1962)

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)
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)


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)
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)


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)
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)

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)
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)

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
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


Start: 2021-06-15
End: 2025-12-31
Principal Investigators: Roland Herzog, Stephan Schmidt
Staff: Manuel Weiß, Lukas Baumgärtner
Funded by: DFG within the Priority Program funding scheme
Part of: Non-Smooth and Complementarity-based Distributed Parameter Systems (SPP 1962)
End: 2025-12-31
Principal Investigators: Roland Herzog, Stephan Schmidt
Staff: Manuel Weiß, Lukas Baumgärtner
Funded by: DFG within the Priority Program funding scheme
Part of: Non-Smooth and Complementarity-based Distributed Parameter Systems (SPP 1962)
Latest Publications
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Metric Frobenius norms and inner products of matrices and linear mapsLinear Algebra and its Applications 727, p.112-128, 2025
bibtex
@ARTICLE{HerzogKoehneKreisSchiela:2025:1, AUTHOR = {Herzog, Roland and Köhne, Frederik and Kreis, Leonie and Schiela, Anton}, DATE = {2025-08-08}, DOI = {10.1016/j.laa.2025.08.005}, EPRINT = {2311.15419}, EPRINTTYPE = {arXiv}, JOURNALTITLE = {Linear Algebra and its Applications}, PAGES = {112--128}, TITLE = {Metric Frobenius norms and inner products of matrices and linear maps}, VOLUME = {727}, }
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Preconditioning for a Cahn-Hilliard-Navier-Stokes model for morphology formation in organic solar cellsJournal of Computational Physics 540, 2025
bibtex
@ARTICLE{CilogluTretmansHerzogPietschmannStoll:2025:2, AUTHOR = {Çiloğlu, Pelin and Tretmans, Carmen and Herzog, Roland and Pietschmann, Jan-F. and Stoll, Martin}, DATE = {2025-08-07}, DOI = {10.1016/j.jcp.2025.114280}, EPRINT = {2501.11767}, EPRINTTYPE = {arXiv}, JOURNALTITLE = {Journal of Computational Physics}, PAGES = {114280}, TITLE = {Preconditioning for a Cahn-Hilliard-Navier-Stokes model for morphology formation in organic solar cells}, VOLUME = {540}, }
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Total generalized variation of the normal vector field and applications to mesh denoising,
2025
bibtex
@ONLINE{BaumgaertnerBergmannHerzogSchmidtWeiss:2025:1, AUTHOR = {Baumgärtner, Lukas and Bergmann, Ronny and Herzog, Roland and Schmidt, Stephan and Weiß, Manuel}, DATE = {2025-07}, EPRINT = {2507.13530}, EPRINTTYPE = {arXiv}, TITLE = {Total generalized variation of the normal vector field and applications to mesh denoising}, }
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A data-driven closed-loop control approach to drive neural state transitions for mechanistic insight,
2025
bibtex
@ONLINE{EmondsHerbergGerchenPritschRochaZamoscikKirschHerzogKoppe:2025:1, AUTHOR = {Emonds, Niklas and Herberg, Evelyn and Gerchen, Martin Fungisai and Pritsch, Marc and Rocha, Joshua and Zamoscik, Vera and Kirsch, Peter and Herzog, Roland and Koppe, Georgia}, PUBLISHER = {Cold Spring Harbor Laboratory}, DATE = {2025-07}, DOI = {10.1101/2025.07.21.665992}, EPRINT = {2025.07.21.665992}, EPRINTTYPE = {bioRxiv}, TITLE = {A data-driven closed-loop control approach to drive neural state transitions for mechanistic insight}, }
Latest Software
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The proximal map of the weighted mean absolute error,
2023
bibtex
@SOFTWARE{BaumgaertnerHerzogSchmidtWeiss:2022:2, AUTHOR = {Baumgärtner, Lukas and Herzog, Roland and Schmidt, Stephan and Weiß, Manuel}, DATE = {2023}, DOI = {10.5281/zenodo.7620815}, TITLE = {The proximal map of the weighted mean absolute error}, }
-
The SCOOP template engine,
2023
bibtex
@SOFTWARE{Herzog:2023:1, AUTHOR = {Herzog, Roland}, URL = {https://pypi.org/project/scoop-template-engine/}, DATE = {2023}, TITLE = {The SCOOP template engine}, }
-
Continuous Galerkin schemes for semi-explicit differential-algebraic equations,
2021
bibtex
@SOFTWARE{AltmannHerzog:2021:1, AUTHOR = {Altmann, Robert and Herzog, Roland}, DATE = {2021}, DOI = {10.5281/zenodo.4682720}, TITLE = {Continuous Galerkin schemes for semi-explicit differential-algebraic equations}, }
-
First and second order shape optimization based on restricted mesh deformations,
2018
bibtex
@SOFTWARE{EtlingHerzogLoayzaWachsmuth:2018:2, AUTHOR = {Etling, Tommy and Herzog, Roland and Loayza, Estefanía and Wachsmuth, Gerd}, DATE = {2018}, DOI = {10.5281/zenodo.2547481}, TITLE = {First and second order shape optimization based on restricted mesh deformations}, }
Selected Talks
-
Krylov subspace methods with a twist,
2025
bibtex
@ONLINE{Herzog:2025:1, AUTHOR = {Herzog, Roland}, DATE = {2025-06-25}, DOI = {10.5281/zenodo.15864810}, NOTE = {Plenary presentation given at the 30th Biennial Numerical Analysis Conference, University of Strathclyde}, TITLE = {Krylov subspace methods with a twist}, }
Recent Teaching
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2025 WSLineare Algebra I (Lecture)
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2024 WSGrundlagen der Optimierung (Lecture)
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2024 WSInfinite-Dimensional Optimization (Lecture)
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2024 WSMathematical Machine Learning (Seminar)
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2024 SSLineare Algebra II (Lecture)
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2024 SSMathematical Machine Learning (Seminar)
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2024 SSSelected Topics in Optimization (Seminar)
Currently Supervising
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M.Sc. Thesis of
Bifurcation Control via Shape Optimization for Particle Separation in Microfluidic ChannelsM.Sc. Mathematik, Heidelberg UniversitySupervision: Roland Herzog and Patrick Farrell
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M.Sc. Thesis of
Optimization of Battery Storage Systems in Power Markets using Reinforcement LearningM.Sc. Physik, Heidelberg University
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M.Sc. Thesis of
Preconditioning in Multiobjective OptimizationM.Sc. Scientific Computing, Heidelberg UniversitySupervision: Roland Herzog and Georg Müller
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M.Sc. Thesis of
Inverse Reinforcement Learning in Trust GamesM.Sc. Scientific Computing, Heidelberg UniversitySupervision: Roland Herzog, Georgia Koppe and Viktor Martinek
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M.Sc. Thesis of
Domain Decomposition Methods for Nonlocal PDEs and Optimal ControlM.Sc. Mathematik, Heidelberg UniversitySupervision: Roland Herzog and Georg Müller
Recent Events Organized
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2025-09-01 -- 2025-09-05 European Conference on Numerical Mathematics and Advanced Applications (ENUMATH)
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2025-02-22 -- 2025-03-01 Heidelberg Seminar on Optimal Control
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2024-02-24 -- 2024-03-02 Heidelberg Seminar on Optimal Control
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2023-09-25 -- 2023-09-27 European Conference on Computational Optimization (EUCCO)