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

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
Latest Publications
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Subspace accelerated measure transport methods for fast and scalable sequential experimental design, with application to photoacoustic imaging,
2025
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}, }
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Mesh denoising and inpainting using the total variation of the normal and a shape Newton approachSIAM Journal on Scientific Computing 47(1), p.A300-A324, 2025
bibtex
@ARTICLE{BaumgaertnerBergmannHerzogSchmidtVidalNunezWeiss:2025:1, AUTHOR = {Baumgärtner, Lukas and Bergmann, Ronny and Herzog, Roland and Schmidt, Stephan and Vidal-Núñez, José and Weiß, Manuel}, PUBLISHER = {Society for Industrial \& Applied Mathematics (SIAM)}, DATE = {2025-01}, DOI = {10.1137/24m1646121}, JOURNALTITLE = {SIAM Journal on Scientific Computing}, NUMBER = {1}, PAGES = {A300--A324}, TITLE = {Mesh denoising and inpainting using the total variation of the normal and a shape Newton approach}, VOLUME = {47}, }
-
Preconditioning for a Cahn-Hilliard-Navier-Stokes model for morphology formation in organic solar cells,
2025
bibtex
@ONLINE{CilogluTretmansHerzogPietschmannStoll:2025:1, AUTHOR = {Çiloğlu, Pelin and Tretmans, Carmen and Herzog, Roland and Pietschmann, Jan-F. and Stoll, Martin}, DATE = {2025-01}, EPRINT = {2501.11767}, EPRINTTYPE = {arXiv}, TITLE = {Preconditioning for a Cahn-Hilliard-Navier-Stokes model for morphology formation in organic solar cells}, }
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Entropy scaling of viscosity IV---application to 124 industrially important fluidsJournal of Chemical & Engineering Data, 2025
bibtex
@ARTICLE{MartinekBellHerzogRichterYang:2025:1, AUTHOR = {Martinek, Viktor and Bell, Ian and Herzog, Roland and Richter, Markus and Yang, Xiaoxian}, PUBLISHER = {American Chemical Society (ACS)}, DATE = {2025-01}, DOI = {10.1021/acs.jced.4c00451}, JOURNALTITLE = {Journal of Chemical \& Engineering Data}, TITLE = {Entropy scaling of viscosity IV---application to 124 industrially important fluids}, }
Recent Teaching
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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)
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2023 WSLineare Algebra I (Lecture)
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2023 WSMathematical Machine Learning (Seminar)
Currently Supervising
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M.Sc. Thesis of
Optimization of Battery Storage Systems in Power Markets using Reinforcement LearningM.Sc. Physik, Heidelberg UniversitySupervision: Ullrich Köthe, Roland Herzog and Viktor Martinek(mit Statkraft)
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M.Sc. Thesis of
Genodesic: Trajectory Reconstruction in Single-Cell Sequencing Data using Score Based MethodsM.Sc. Mathematik, Heidelberg UniversitySupervision: Evelyn Herberg, Simon Anders and Roland Herzog
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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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B.Sc. Thesis of
Sorting by Linear ProgrammingB.Sc. Mathematik, Heidelberg UniversitySupervision: Roland Herzog and Georg Müller
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B.Sc. Thesis of
Invexe OptimierungB.Sc. MathematikSupervision: Roland Herzog and Evelyn Herberg
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B.Sc. Thesis of
Lineare Kleinste-Quadrate-Aufgaben mit mehreren ModellenB.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)