---
_id: '67302'
abstract:
- lang: eng
text: Data-driven surrogate models provide fast and fully differentiable approximations
of complex dynamical systems. In this work, we develop such surrogates for the
Rayleigh–Bénard convection (RBC), which governs thermally driven flows in natural
and industrial environments. Specifically, the proposed models approximate the
discrete-time flow map of the RBC system, advancing the full system state by a
fixed time step. We train Fourier Neural Operator (FNO)–based models to learn
the dynamics of RBC in two and three dimensions and compare them to a convolutional
U-Net baseline and a Koopman-based Linear Recurrent Autoencoder Network (LRAN).
The two-dimensional system serves as a baseline for the more challenging three-dimensional
case, which exhibits increased spatial complexity and turbulent dynamics. Across
all settings, FNO-based models consistently outperform the LRAN, while achieving
performance comparable to the U-Net in several regimes. Incorporating spatio-temporal
inputs via FNOs leads to improved long-term prediction accuracy, particularly
for turbulent flows. The physical fidelity of the predictions is assessed using
convective heat flux statistics, profiles, and fluctuations, showing that FNOs
most closely reproduce the ground-truth flow statistics. In addition, we demonstrate
that FNOs enable zero-shot super-resolution across unseen spatial discretizations,
a capability not shared by the convolutional baselines. These results highlight
the potential of neural operator–based models as accurate, physically consistent,
and resolution-independent surrogates for downstream tasks such as flow control.
author:
- first_name: Thorben
full_name: Markmann, Thorben
last_name: Markmann
- first_name: Michiel
full_name: Straat, Michiel
last_name: Straat
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
citation:
ama: Markmann T, Straat M, Peitz S, Hammer B. Fourier neural operators as data-driven
surrogates for two- and three-dimensional Rayleigh–Bénard convection. Neurocomputing.
2026;679:133201. doi:10.1016/j.neucom.2026.133201
apa: Markmann, T., Straat, M., Peitz, S., & Hammer, B. (2026). Fourier neural
operators as data-driven surrogates for two- and three-dimensional Rayleigh–Bénard
convection. Neurocomputing, 679, 133201. https://doi.org/10.1016/j.neucom.2026.133201
bibtex: '@article{Markmann_Straat_Peitz_Hammer_2026, title={Fourier neural operators
as data-driven surrogates for two- and three-dimensional Rayleigh–Bénard convection},
volume={679}, DOI={10.1016/j.neucom.2026.133201},
journal={Neurocomputing}, author={Markmann, Thorben and Straat, Michiel and Peitz,
Sebastian and Hammer, Barbara}, year={2026}, pages={133201} }'
chicago: 'Markmann, Thorben, Michiel Straat, Sebastian Peitz, and Barbara Hammer.
“Fourier Neural Operators as Data-Driven Surrogates for Two- and Three-Dimensional
Rayleigh–Bénard Convection.” Neurocomputing 679 (2026): 133201. https://doi.org/10.1016/j.neucom.2026.133201.'
ieee: 'T. Markmann, M. Straat, S. Peitz, and B. Hammer, “Fourier neural operators
as data-driven surrogates for two- and three-dimensional Rayleigh–Bénard convection,”
Neurocomputing, vol. 679, p. 133201, 2026, doi: 10.1016/j.neucom.2026.133201.'
mla: Markmann, Thorben, et al. “Fourier Neural Operators as Data-Driven Surrogates
for Two- and Three-Dimensional Rayleigh–Bénard Convection.” Neurocomputing,
vol. 679, 2026, p. 133201, doi:10.1016/j.neucom.2026.133201.
short: T. Markmann, M. Straat, S. Peitz, B. Hammer, Neurocomputing 679 (2026) 133201.
date_created: 2026-10-01T11:55:20Z
date_updated: 2026-10-01T11:56:04Z
department:
- _id: '655'
doi: 10.1016/j.neucom.2026.133201
intvolume: ' 679'
keyword:
- own
- own-journal
- erc
language:
- iso: eng
page: '133201'
publication: Neurocomputing
publication_identifier:
issn:
- 0925-2312
status: public
title: Fourier neural operators as data-driven surrogates for two- and three-dimensional
Rayleigh–Bénard convection
type: journal_article
user_id: '47427'
volume: 679
year: '2026'
...
---
_id: '67299'
author:
- first_name: Hans
full_name: Harder, Hans
id: '98879'
last_name: Harder
- first_name: Abhijeet
full_name: Vishwasrao, Abhijeet
last_name: Vishwasrao
- first_name: Luca
full_name: Guastoni, Luca
last_name: Guastoni
- first_name: Ricardo
full_name: Vinuesa, Ricardo
last_name: Vinuesa
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
citation:
ama: 'Harder H, Vishwasrao A, Guastoni L, Vinuesa R, Peitz S. Efficient probabilistic
surrogate modeling techniques for partially-observed large-scale dynamical systems.
In: Sukhatme G, Lindemann L, Tu S, Wierman A, Atanasov N, eds. Proceedings
of The 8th Annual Learning for Dynamics and Control Conference. Vol 331. Proceedings
of Machine Learning Research. PMLR; 2026:1601–1619. doi:10.48550/arXiv.2511.04641'
apa: Harder, H., Vishwasrao, A., Guastoni, L., Vinuesa, R., & Peitz, S. (2026).
Efficient probabilistic surrogate modeling techniques for partially-observed large-scale
dynamical systems. In G. Sukhatme, L. Lindemann, S. Tu, A. Wierman, & N. Atanasov
(Eds.), Proceedings of The 8th Annual Learning for Dynamics and Control Conference
(Vol. 331, pp. 1601–1619). PMLR. https://doi.org/10.48550/arXiv.2511.04641
bibtex: '@inproceedings{Harder_Vishwasrao_Guastoni_Vinuesa_Peitz_2026, series={Proceedings
of Machine Learning Research}, title={Efficient probabilistic surrogate modeling
techniques for partially-observed large-scale dynamical systems}, volume={331},
DOI={10.48550/arXiv.2511.04641},
booktitle={Proceedings of The 8th Annual Learning for Dynamics and Control Conference},
publisher={PMLR}, author={Harder, Hans and Vishwasrao, Abhijeet and Guastoni,
Luca and Vinuesa, Ricardo and Peitz, Sebastian}, editor={Sukhatme, Gaurav and
Lindemann, Lars and Tu, Stephen and Wierman, Adam and Atanasov, Nikolay}, year={2026},
pages={1601–1619}, collection={Proceedings of Machine Learning Research} }'
chicago: Harder, Hans, Abhijeet Vishwasrao, Luca Guastoni, Ricardo Vinuesa, and
Sebastian Peitz. “Efficient Probabilistic Surrogate Modeling Techniques for Partially-Observed
Large-Scale Dynamical Systems.” In Proceedings of The 8th Annual Learning for
Dynamics and Control Conference, edited by Gaurav Sukhatme, Lars Lindemann,
Stephen Tu, Adam Wierman, and Nikolay Atanasov, 331:1601–1619. Proceedings of
Machine Learning Research. PMLR, 2026. https://doi.org/10.48550/arXiv.2511.04641.
ieee: 'H. Harder, A. Vishwasrao, L. Guastoni, R. Vinuesa, and S. Peitz, “Efficient
probabilistic surrogate modeling techniques for partially-observed large-scale
dynamical systems,” in Proceedings of The 8th Annual Learning for Dynamics
and Control Conference, 2026, vol. 331, pp. 1601–1619, doi: 10.48550/arXiv.2511.04641.'
mla: Harder, Hans, et al. “Efficient Probabilistic Surrogate Modeling Techniques
for Partially-Observed Large-Scale Dynamical Systems.” Proceedings of The 8th
Annual Learning for Dynamics and Control Conference, edited by Gaurav Sukhatme
et al., vol. 331, PMLR, 2026, pp. 1601–1619, doi:10.48550/arXiv.2511.04641.
short: 'H. Harder, A. Vishwasrao, L. Guastoni, R. Vinuesa, S. Peitz, in: G. Sukhatme,
L. Lindemann, S. Tu, A. Wierman, N. Atanasov (Eds.), Proceedings of The 8th Annual
Learning for Dynamics and Control Conference, PMLR, 2026, pp. 1601–1619.'
date_created: 2026-10-01T11:51:57Z
date_updated: 2026-10-01T11:52:48Z
department:
- _id: '655'
doi: 10.48550/arXiv.2511.04641
editor:
- first_name: Gaurav
full_name: Sukhatme, Gaurav
last_name: Sukhatme
- first_name: Lars
full_name: Lindemann, Lars
last_name: Lindemann
- first_name: Stephen
full_name: Tu, Stephen
last_name: Tu
- first_name: Adam
full_name: Wierman, Adam
last_name: Wierman
- first_name: Nikolay
full_name: Atanasov, Nikolay
last_name: Atanasov
intvolume: ' 331'
keyword:
- own
- own-conference
- erc
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://openreview.net/pdf?id=Z9srtyqVLE
oa: '1'
page: 1601–1619
publication: Proceedings of The 8th Annual Learning for Dynamics and Control Conference
publisher: PMLR
series_title: Proceedings of Machine Learning Research
status: public
title: Efficient probabilistic surrogate modeling techniques for partially-observed
large-scale dynamical systems
type: conference
user_id: '47427'
volume: 331
year: '2026'
...
---
_id: '67303'
author:
- first_name: Augustina Chidinma
full_name: Amakor, Augustina Chidinma
id: '97916'
last_name: Amakor
- first_name: Konstantin
full_name: Sonntag, Konstantin
id: '56399'
last_name: Sonntag
orcid: https://orcid.org/0000-0003-3384-3496
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
citation:
ama: 'Amakor AC, Sonntag K, Peitz S. Interactive Pareto navigation for deep multi-task
learning. In: European Conference on Machine Learning and Principles and Practice
of Knowledge Discovery in Databases (ECML PKDD). ; 2026:652-668. doi:10.1007/978-3-032-37667-1_37'
apa: Amakor, A. C., Sonntag, K., & Peitz, S. (2026). Interactive Pareto navigation
for deep multi-task learning. European Conference on Machine Learning and Principles
and Practice of Knowledge Discovery in Databases (ECML PKDD), 652–668. https://doi.org/10.1007/978-3-032-37667-1_37
bibtex: '@inproceedings{Amakor_Sonntag_Peitz_2026, title={Interactive Pareto navigation
for deep multi-task learning}, DOI={10.1007/978-3-032-37667-1_37},
booktitle={European Conference on Machine Learning and Principles and Practice
of Knowledge Discovery in Databases (ECML PKDD)}, author={Amakor, Augustina Chidinma
and Sonntag, Konstantin and Peitz, Sebastian}, year={2026}, pages={652–668} }'
chicago: Amakor, Augustina Chidinma, Konstantin Sonntag, and Sebastian Peitz. “Interactive
Pareto Navigation for Deep Multi-Task Learning.” In European Conference on
Machine Learning and Principles and Practice of Knowledge Discovery in Databases
(ECML PKDD), 652–68, 2026. https://doi.org/10.1007/978-3-032-37667-1_37.
ieee: 'A. C. Amakor, K. Sonntag, and S. Peitz, “Interactive Pareto navigation for
deep multi-task learning,” in European Conference on Machine Learning and Principles
and Practice of Knowledge Discovery in Databases (ECML PKDD), 2026, pp. 652–668,
doi: 10.1007/978-3-032-37667-1_37.'
mla: Amakor, Augustina Chidinma, et al. “Interactive Pareto Navigation for Deep
Multi-Task Learning.” European Conference on Machine Learning and Principles
and Practice of Knowledge Discovery in Databases (ECML PKDD), 2026, pp. 652–68,
doi:10.1007/978-3-032-37667-1_37.
short: 'A.C. Amakor, K. Sonntag, S. Peitz, in: European Conference on Machine Learning
and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2026,
pp. 652–668.'
date_created: 2026-10-01T11:56:15Z
date_updated: 2026-10-01T11:58:43Z
department:
- _id: '655'
doi: 10.1007/978-3-032-37667-1_37
keyword:
- own
- own-conference
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2606.19521
oa: '1'
page: 652-668
publication: European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Databases (ECML PKDD)
status: public
title: Interactive Pareto navigation for deep multi-task learning
type: conference
user_id: '47427'
year: '2026'
...
---
_id: '67305'
author:
- first_name: Jannis
full_name: Becktepe, Jannis
last_name: Becktepe
- first_name: Aleksandra
full_name: Franz, Aleksandra
last_name: Franz
- first_name: Nils
full_name: Thuerey, Nils
last_name: Thuerey
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
citation:
ama: 'Becktepe J, Franz A, Thuerey N, Peitz S. Plug-and-Play Benchmarking of Reinforcement
Learning Algorithms for Large-Scale Flow Control. In: International Conference
on Machine Learning (ICML). ; 2026. doi:10.48550/arXiv.2601.15015'
apa: Becktepe, J., Franz, A., Thuerey, N., & Peitz, S. (2026). Plug-and-Play
Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control.
International Conference on Machine Learning (ICML). https://doi.org/10.48550/arXiv.2601.15015
bibtex: '@inproceedings{Becktepe_Franz_Thuerey_Peitz_2026, title={Plug-and-Play
Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control},
DOI={10.48550/arXiv.2601.15015},
booktitle={International Conference on Machine Learning (ICML)}, author={Becktepe,
Jannis and Franz, Aleksandra and Thuerey, Nils and Peitz, Sebastian}, year={2026}
}'
chicago: Becktepe, Jannis, Aleksandra Franz, Nils Thuerey, and Sebastian Peitz.
“Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale
Flow Control.” In International Conference on Machine Learning (ICML),
2026. https://doi.org/10.48550/arXiv.2601.15015.
ieee: 'J. Becktepe, A. Franz, N. Thuerey, and S. Peitz, “Plug-and-Play Benchmarking
of Reinforcement Learning Algorithms for Large-Scale Flow Control,” 2026, doi:
10.48550/arXiv.2601.15015.'
mla: Becktepe, Jannis, et al. “Plug-and-Play Benchmarking of Reinforcement Learning
Algorithms for Large-Scale Flow Control.” International Conference on Machine
Learning (ICML), 2026, doi:10.48550/arXiv.2601.15015.
short: 'J. Becktepe, A. Franz, N. Thuerey, S. Peitz, in: International Conference
on Machine Learning (ICML), 2026.'
date_created: 2026-10-01T11:59:35Z
date_updated: 2026-10-01T12:00:51Z
department:
- _id: '655'
doi: 10.48550/arXiv.2601.15015
keyword:
- own
- own-conference
- erc
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://safe-autonomous-systems.github.io/fluidgym/
oa: '1'
publication: International Conference on Machine Learning (ICML)
status: public
title: Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale
Flow Control
type: conference
user_id: '47427'
year: '2026'
...
---
_id: '67301'
author:
- first_name: Meike Claudia
full_name: Wohlleben, Meike Claudia
id: '43991'
last_name: Wohlleben
orcid: 0009-0009-9767-7168
- first_name: Jan
full_name: Schütte, Jan
id: '22109'
last_name: Schütte
orcid: 0000-0001-9025-9742
- first_name: Manuel
full_name: Berkemeier, Manuel
last_name: Berkemeier
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
citation:
ama: Wohlleben MC, Schütte J, Berkemeier M, Sextro W, Peitz S. Evaluating Physics-Based,
Hybrid, and Data-Driven Models for Rubber-Metal Bushings. Multibody System
Dynamics. Published online 2026. doi:10.1007/s11044-026-10146-9
apa: Wohlleben, M. C., Schütte, J., Berkemeier, M., Sextro, W., & Peitz, S.
(2026). Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal
Bushings. Multibody System Dynamics. https://doi.org/10.1007/s11044-026-10146-9
bibtex: '@article{Wohlleben_Schütte_Berkemeier_Sextro_Peitz_2026, title={Evaluating
Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings}, DOI={10.1007/s11044-026-10146-9},
journal={Multibody System Dynamics}, author={Wohlleben, Meike Claudia and Schütte,
Jan and Berkemeier, Manuel and Sextro, Walter and Peitz, Sebastian}, year={2026}
}'
chicago: Wohlleben, Meike Claudia, Jan Schütte, Manuel Berkemeier, Walter Sextro,
and Sebastian Peitz. “Evaluating Physics-Based, Hybrid, and Data-Driven Models
for Rubber-Metal Bushings.” Multibody System Dynamics, 2026. https://doi.org/10.1007/s11044-026-10146-9.
ieee: 'M. C. Wohlleben, J. Schütte, M. Berkemeier, W. Sextro, and S. Peitz, “Evaluating
Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings,” Multibody
System Dynamics, 2026, doi: 10.1007/s11044-026-10146-9.'
mla: Wohlleben, Meike Claudia, et al. “Evaluating Physics-Based, Hybrid, and Data-Driven
Models for Rubber-Metal Bushings.” Multibody System Dynamics, 2026, doi:10.1007/s11044-026-10146-9.
short: M.C. Wohlleben, J. Schütte, M. Berkemeier, W. Sextro, S. Peitz, Multibody
System Dynamics (2026).
date_created: 2026-10-01T11:53:54Z
date_updated: 2026-10-01T11:54:23Z
department:
- _id: '655'
doi: 10.1007/s11044-026-10146-9
keyword:
- own
- own-journal
language:
- iso: eng
publication: Multibody System Dynamics
status: public
title: Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings
type: journal_article
user_id: '47427'
year: '2026'
...
---
_id: '67298'
author:
- first_name: Christian
full_name: Mugisho Zagabe, Christian
last_name: Mugisho Zagabe
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
citation:
ama: Mugisho Zagabe C, Peitz S. Automatic feature identification in least-squares
policy iteration using the Koopman operator framework. arXiv:260326464.
Published online 2026.
apa: Mugisho Zagabe, C., & Peitz, S. (2026). Automatic feature identification
in least-squares policy iteration using the Koopman operator framework. In arXiv:2603.26464.
bibtex: '@article{Mugisho Zagabe_Peitz_2026, title={Automatic feature identification
in least-squares policy iteration using the Koopman operator framework}, journal={arXiv:2603.26464},
author={Mugisho Zagabe, Christian and Peitz, Sebastian}, year={2026} }'
chicago: Mugisho Zagabe, Christian, and Sebastian Peitz. “Automatic Feature Identification
in Least-Squares Policy Iteration Using the Koopman Operator Framework.” ArXiv:2603.26464,
2026.
ieee: C. Mugisho Zagabe and S. Peitz, “Automatic feature identification in least-squares
policy iteration using the Koopman operator framework,” arXiv:2603.26464.
2026.
mla: Mugisho Zagabe, Christian, and Sebastian Peitz. “Automatic Feature Identification
in Least-Squares Policy Iteration Using the Koopman Operator Framework.” ArXiv:2603.26464,
2026.
short: C. Mugisho Zagabe, S. Peitz, ArXiv:2603.26464 (2026).
date_created: 2026-10-01T11:50:28Z
date_updated: 2026-10-01T11:51:41Z
department:
- _id: '655'
keyword:
- own
- own-preprint
- erc
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2603.26464
oa: '1'
publication: arXiv:2603.26464
status: public
title: Automatic feature identification in least-squares policy iteration using the
Koopman operator framework
type: preprint
user_id: '47427'
year: '2026'
...
---
_id: '67304'
author:
- first_name: Tim
full_name: Plotzki, Tim
last_name: Plotzki
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
citation:
ama: Plotzki T, Peitz S. Koopman-based surrogate modeling for reinforcement-learning-control
of Rayleigh-Benard convection. arXiv:260328074. Published online 2026.
apa: Plotzki, T., & Peitz, S. (2026). Koopman-based surrogate modeling for reinforcement-learning-control
of Rayleigh-Benard convection. In arXiv:2603.28074.
bibtex: '@article{Plotzki_Peitz_2026, title={Koopman-based surrogate modeling for
reinforcement-learning-control of Rayleigh-Benard convection}, journal={arXiv:2603.28074},
author={Plotzki, Tim and Peitz, Sebastian}, year={2026} }'
chicago: Plotzki, Tim, and Sebastian Peitz. “Koopman-Based Surrogate Modeling for
Reinforcement-Learning-Control of Rayleigh-Benard Convection.” ArXiv:2603.28074,
2026.
ieee: T. Plotzki and S. Peitz, “Koopman-based surrogate modeling for reinforcement-learning-control
of Rayleigh-Benard convection,” arXiv:2603.28074. 2026.
mla: Plotzki, Tim, and Sebastian Peitz. “Koopman-Based Surrogate Modeling for Reinforcement-Learning-Control
of Rayleigh-Benard Convection.” ArXiv:2603.28074, 2026.
short: T. Plotzki, S. Peitz, ArXiv:2603.28074 (2026).
date_created: 2026-10-01T11:59:03Z
date_updated: 2026-10-01T11:59:27Z
department:
- _id: '655'
keyword:
- own
- own-preprint
- erc
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2603.28074
oa: '1'
publication: arXiv:2603.28074
status: public
title: Koopman-based surrogate modeling for reinforcement-learning-control of Rayleigh-Benard
convection
type: preprint
user_id: '47427'
year: '2026'
...
---
_id: '62816'
abstract:
- lang: eng
text: The increasing demand for advanced sensing technologies drives the development
of chemical sensors using innovative materials. In gas sensing, optical sensors
are often used to detect gases such as CO, NOx, and O2. Oxygen sensors typically
incorporate dyes into oxygen-permeable matrices like polymers, silica, or zeolites.
Alternatively, semiconductor surface chemistry can enable O2 detection. However,
these approaches are often limited by slow response and recovery times and low
selectivity, restricting their practical applications. The metal-organic framework
MOF-76(Eu) and its yttrium-modified variant, MOF-76(Eu/Y) are reported to exhibit
highly reversible and fast optical responses to varying O2 concentrations. Time-resolved
emission measurements are performed over short (seconds) and long (hours) timescales
using N2 and synthetic air mixtures. Cross-sensitivity to humidity is analyzed.
Multichannel scaling photon-counting experiments confirm quenching at the linker
level, as the emission lifetime remains nearly constant. Yttrium significantly
improves stability and performance at room temperature. Structural and optical
changes induced by yttrium are investigated. Additionally, MIL-78(Eu), another
Eu-BTC-based MOF with a different coordination environment, is synthesized. Unlike
MOF-76(Eu), MIL-78(Eu) exhibits distinct optical properties but lacks a reversible
response to O2. These results highlight the potential of MOF-76-based materials
for high-performance O2 sensing.
article_number: e11190
author:
- first_name: Zhenyu
full_name: Zhao, Zhenyu
last_name: Zhao
- first_name: Christian
full_name: Weinberger, Christian
id: '11848'
last_name: Weinberger
- first_name: Jakob
full_name: Steube, Jakob
id: '40342'
last_name: Steube
orcid: 0000-0003-3178-4429
- first_name: Matthias
full_name: Bauer, Matthias
id: '47241'
last_name: Bauer
orcid: 0000-0002-9294-6076
- first_name: Martin
full_name: Brehm, Martin
id: '100167'
last_name: Brehm
- first_name: Michael
full_name: Tiemann, Michael
id: '23547'
last_name: Tiemann
orcid: 0000-0003-1711-2722
citation:
ama: Zhao Z, Weinberger C, Steube J, Bauer M, Brehm M, Tiemann M. Fast‐Responding
O2 Gas Sensor Based on Luminescent Europium Metal‐Organic Frameworks (MOF‐76).
Advanced Functional Materials. Published online 2026. doi:10.1002/adfm.202511190
apa: Zhao, Z., Weinberger, C., Steube, J., Bauer, M., Brehm, M., & Tiemann,
M. (2026). Fast‐Responding O2 Gas Sensor Based on Luminescent Europium Metal‐Organic
Frameworks (MOF‐76). Advanced Functional Materials, Article e11190. https://doi.org/10.1002/adfm.202511190
bibtex: '@article{Zhao_Weinberger_Steube_Bauer_Brehm_Tiemann_2026, title={Fast‐Responding
O2 Gas Sensor Based on Luminescent Europium Metal‐Organic Frameworks (MOF‐76)},
DOI={10.1002/adfm.202511190},
number={e11190}, journal={Advanced Functional Materials}, publisher={Wiley}, author={Zhao,
Zhenyu and Weinberger, Christian and Steube, Jakob and Bauer, Matthias and Brehm,
Martin and Tiemann, Michael}, year={2026} }'
chicago: Zhao, Zhenyu, Christian Weinberger, Jakob Steube, Matthias Bauer, Martin
Brehm, and Michael Tiemann. “Fast‐Responding O2 Gas Sensor Based on Luminescent
Europium Metal‐Organic Frameworks (MOF‐76).” Advanced Functional Materials,
2026. https://doi.org/10.1002/adfm.202511190.
ieee: 'Z. Zhao, C. Weinberger, J. Steube, M. Bauer, M. Brehm, and M. Tiemann, “Fast‐Responding
O2 Gas Sensor Based on Luminescent Europium Metal‐Organic Frameworks (MOF‐76),”
Advanced Functional Materials, Art. no. e11190, 2026, doi: 10.1002/adfm.202511190.'
mla: Zhao, Zhenyu, et al. “Fast‐Responding O2 Gas Sensor Based on Luminescent Europium
Metal‐Organic Frameworks (MOF‐76).” Advanced Functional Materials, e11190,
Wiley, 2026, doi:10.1002/adfm.202511190.
short: Z. Zhao, C. Weinberger, J. Steube, M. Bauer, M. Brehm, M. Tiemann, Advanced
Functional Materials (2026).
date_created: 2025-12-03T17:09:28Z
date_updated: 2026-10-01T14:06:35Z
department:
- _id: '35'
- _id: '2'
- _id: '307'
doi: 10.1002/adfm.202511190
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
publication: Advanced Functional Materials
publication_identifier:
issn:
- 1616-301X
- 1616-3028
publication_status: published
publisher: Wiley
quality_controlled: '1'
status: public
title: Fast‐Responding O2 Gas Sensor Based on Luminescent Europium Metal‐Organic Frameworks
(MOF‐76)
type: journal_article
user_id: '23547'
year: '2026'
...
---
_id: '67339'
abstract:
- lang: eng
text: Explainable artificial intelligence (XAI) is essential for critical domains
such as healthcare and autonomous systems to build trust and confidence in real-world
deployment. In this context, description logic knowledge bases (KBs) provide structured
and semantically rich representations that support reasoning and informed decision-making.
A core task in applying KBs to XAI is class expression learning (CEL), which generates
explainable logical descriptions for classifying instances within KBs. Unlike
black-box models with opaque internal mechanisms, CEL provides global explainability
and ease of integration with domain knowledge. However, current approaches to
CEL face significant limitations such as poor scalability, failure to capture
rare patterns, and limited exploration of the vast class expression search space.
To overcome these limitations, we introduce LYRA, a novel multi-agent deep reinforcement
learning framework that formulates CEL as a collaborative planning task under
uncertainty. The integration of the Dempster–Shafer theory enables agents to effectively
reason under ambiguity and manage conflicting or inconsistent information. Our
experiments show that LYRA outperforms state-of-the-art methods on seven out of
eight datasets, demonstrating robust and scalable CEL. Additionally, LYRA offers
interpretable decisions and employs advanced search strategies, enabling the discovery
of more precise and expressive class expressions than existing approaches.
author:
- first_name: Amgad
full_name: Abdulmaqsod, Amgad
last_name: Abdulmaqsod
- first_name: Yasir
full_name: Mahmood, Yasir
last_name: Mahmood
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
last_name: Ngonga Ngomo
- first_name: Mohamed Ahmed
full_name: Sherif, Mohamed Ahmed
last_name: Sherif
citation:
ama: 'Abdulmaqsod A, Mahmood Y, Ngonga Ngomo A-C, Sherif MA. LYRA: Belief-Driven
Scalable Class Expression Learning in Description Logics. In: The Semantic
Web – ISWC 2026. ; 2026.'
apa: 'Abdulmaqsod, A., Mahmood, Y., Ngonga Ngomo, A.-C., & Sherif, M. A. (2026).
LYRA: Belief-Driven Scalable Class Expression Learning in Description Logics.
The Semantic Web – ISWC 2026.'
bibtex: '@inproceedings{Abdulmaqsod_Mahmood_Ngonga Ngomo_Sherif_2026, place={Bari,
Italy}, title={LYRA: Belief-Driven Scalable Class Expression Learning in Description
Logics}, booktitle={The Semantic Web – ISWC 2026}, author={Abdulmaqsod, Amgad
and Mahmood, Yasir and Ngonga Ngomo, Axel-Cyrille and Sherif, Mohamed Ahmed},
year={2026} }'
chicago: 'Abdulmaqsod, Amgad, Yasir Mahmood, Axel-Cyrille Ngonga Ngomo, and Mohamed
Ahmed Sherif. “LYRA: Belief-Driven Scalable Class Expression Learning in Description
Logics.” In The Semantic Web – ISWC 2026. Bari, Italy, 2026.'
ieee: 'A. Abdulmaqsod, Y. Mahmood, A.-C. Ngonga Ngomo, and M. A. Sherif, “LYRA:
Belief-Driven Scalable Class Expression Learning in Description Logics,” 2026.'
mla: 'Abdulmaqsod, Amgad, et al. “LYRA: Belief-Driven Scalable Class Expression
Learning in Description Logics.” The Semantic Web – ISWC 2026, 2026.'
short: 'A. Abdulmaqsod, Y. Mahmood, A.-C. Ngonga Ngomo, M.A. Sherif, in: The Semantic
Web – ISWC 2026, Bari, Italy, 2026.'
date_created: 2026-10-02T07:50:24Z
date_updated: 2026-10-02T08:00:46Z
keyword:
- amgad dice enexa fairomics mahmood ngonga sailproject sherif simba whale
place: Bari, Italy
publication: The Semantic Web – ISWC 2026
status: public
title: 'LYRA: Belief-Driven Scalable Class Expression Learning in Description Logics'
type: conference
user_id: '67234'
year: '2026'
...
---
_id: '67344'
author:
- first_name: Alexander
full_name: Becker, Alexander
last_name: Becker
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
citation:
ama: 'Becker A, Ngonga Ngomo A-C, Sherif M. TIM: Tiered Iterative Knowledge Graph
Matching. In: The Semantic Web – 23rd European Semantic Web Conference, ESWC
2026, Dubrovnik , Croatia, May 10-14, 2026, Proceedings. Springer Nature Switzerland;
2026.'
apa: 'Becker, A., Ngonga Ngomo, A.-C., & Sherif, M. (2026). TIM: Tiered Iterative
Knowledge Graph Matching. The Semantic Web – 23rd European Semantic Web Conference,
ESWC 2026, Dubrovnik , Croatia, May 10-14, 2026, Proceedings.'
bibtex: '@inproceedings{Becker_Ngonga Ngomo_Sherif_2026, title={TIM: Tiered Iterative
Knowledge Graph Matching}, booktitle={The Semantic Web – 23rd European Semantic
Web Conference, ESWC 2026, Dubrovnik , Croatia, May 10-14, 2026, Proceedings},
publisher={Springer Nature Switzerland}, author={Becker, Alexander and Ngonga
Ngomo, Axel-Cyrille and Sherif, Mohamed}, year={2026} }'
chicago: 'Becker, Alexander, Axel-Cyrille Ngonga Ngomo, and Mohamed Sherif. “TIM:
Tiered Iterative Knowledge Graph Matching.” In The Semantic Web – 23rd European
Semantic Web Conference, ESWC 2026, Dubrovnik , Croatia, May 10-14, 2026, Proceedings.
Springer Nature Switzerland, 2026.'
ieee: 'A. Becker, A.-C. Ngonga Ngomo, and M. Sherif, “TIM: Tiered Iterative Knowledge
Graph Matching,” 2026.'
mla: 'Becker, Alexander, et al. “TIM: Tiered Iterative Knowledge Graph Matching.”
The Semantic Web – 23rd European Semantic Web Conference, ESWC 2026, Dubrovnik
, Croatia, May 10-14, 2026, Proceedings, Springer Nature Switzerland, 2026.'
short: 'A. Becker, A.-C. Ngonga Ngomo, M. Sherif, in: The Semantic Web – 23rd European
Semantic Web Conference, ESWC 2026, Dubrovnik , Croatia, May 10-14, 2026, Proceedings,
Springer Nature Switzerland, 2026.'
date_created: 2026-10-02T07:57:09Z
date_updated: 2026-10-02T07:57:39Z
keyword:
- becker dice enexa kiowl ngonga sailproject sherif trr318_inf whale
language:
- iso: eng
publication: The Semantic Web – 23rd European Semantic Web Conference, ESWC 2026,
Dubrovnik , Croatia, May 10-14, 2026, Proceedings
publisher: Springer Nature Switzerland
status: public
title: 'TIM: Tiered Iterative Knowledge Graph Matching'
type: conference
user_id: '67234'
year: '2026'
...
---
_id: '67341'
author:
- first_name: Duygu
full_name: Ekinci Birol, Duygu
last_name: Ekinci Birol
- first_name: N'Dah Jean
full_name: KOUAGOU, N'Dah Jean
id: '87189'
last_name: KOUAGOU
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Ekinci Birol D, KOUAGOU NJ, Sherif M, Ngonga Ngomo A-C. ATLAS: Adaptive Attribute-Aware
Post-Hoc Alignment of Knowledge Graph Embeddings. In: IEEE International Conference
on Data Mining (ICDM) 2026. ; 2026.'
apa: 'Ekinci Birol, D., KOUAGOU, N. J., Sherif, M., & Ngonga Ngomo, A.-C. (2026).
ATLAS: Adaptive Attribute-Aware Post-Hoc Alignment of Knowledge Graph Embeddings.
IEEE International Conference on Data Mining (ICDM) 2026.'
bibtex: '@inproceedings{Ekinci Birol_KOUAGOU_Sherif_Ngonga Ngomo_2026, title={ATLAS:
Adaptive Attribute-Aware Post-Hoc Alignment of Knowledge Graph Embeddings}, booktitle={IEEE
International Conference on Data Mining (ICDM) 2026}, author={Ekinci Birol, Duygu
and KOUAGOU, N’Dah Jean and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}, year={2026}
}'
chicago: 'Ekinci Birol, Duygu, N’Dah Jean KOUAGOU, Mohamed Sherif, and Axel-Cyrille
Ngonga Ngomo. “ATLAS: Adaptive Attribute-Aware Post-Hoc Alignment of Knowledge
Graph Embeddings.” In IEEE International Conference on Data Mining (ICDM) 2026,
2026.'
ieee: 'D. Ekinci Birol, N. J. KOUAGOU, M. Sherif, and A.-C. Ngonga Ngomo, “ATLAS:
Adaptive Attribute-Aware Post-Hoc Alignment of Knowledge Graph Embeddings,” 2026.'
mla: 'Ekinci Birol, Duygu, et al. “ATLAS: Adaptive Attribute-Aware Post-Hoc Alignment
of Knowledge Graph Embeddings.” IEEE International Conference on Data Mining
(ICDM) 2026, 2026.'
short: 'D. Ekinci Birol, N.J. KOUAGOU, M. Sherif, A.-C. Ngonga Ngomo, in: IEEE International
Conference on Data Mining (ICDM) 2026, 2026.'
date_created: 2026-10-02T07:51:10Z
date_updated: 2026-10-02T08:02:17Z
keyword:
- dice duygu fairomics kouagou ngonga sail sherif trr318 whale
language:
- iso: eng
publication: IEEE International Conference on Data Mining (ICDM) 2026
status: public
title: 'ATLAS: Adaptive Attribute-Aware Post-Hoc Alignment of Knowledge Graph Embeddings'
type: conference
user_id: '67234'
year: '2026'
...
---
_id: '67340'
author:
- first_name: Amgad
full_name: Abdulmaqsod, Amgad
last_name: Abdulmaqsod
- first_name: Reda
full_name: Ihtassine, Reda
last_name: Ihtassine
- first_name: Caroline
full_name: Pénicaud, Caroline
last_name: Pénicaud
- first_name: Anne
full_name: Saint-Eve, Anne
last_name: Saint-Eve
- first_name: Lucia
full_name: Brisset, Lucia
last_name: Brisset
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
last_name: Ngonga Ngomo
- first_name: Mohamed Ahmed
full_name: Sherif, Mohamed Ahmed
last_name: Sherif
citation:
ama: 'Abdulmaqsod A, Ihtassine R, Pénicaud C, et al. PBFF-KG: A FAIR Knowledge Graph
Towards Sustainable Design of Plant-Based Fermented Foods. In: Proceedings
of FOODSIM’2026. ; 2026.'
apa: 'Abdulmaqsod, A., Ihtassine, R., Pénicaud, C., Saint-Eve, A., Brisset, L.,
Ngonga Ngomo, A.-C., & Sherif, M. A. (2026). PBFF-KG: A FAIR Knowledge Graph
Towards Sustainable Design of Plant-Based Fermented Foods. Proceedings of FOODSIM’2026.'
bibtex: '@inproceedings{Abdulmaqsod_Ihtassine_Pénicaud_Saint-Eve_Brisset_Ngonga
Ngomo_Sherif_2026, place={Ghent, Belgium}, title={PBFF-KG: A FAIR Knowledge Graph
Towards Sustainable Design of Plant-Based Fermented Foods}, booktitle={Proceedings
of FOODSIM’2026}, author={Abdulmaqsod, Amgad and Ihtassine, Reda and Pénicaud,
Caroline and Saint-Eve, Anne and Brisset, Lucia and Ngonga Ngomo, Axel-Cyrille
and Sherif, Mohamed Ahmed}, year={2026} }'
chicago: 'Abdulmaqsod, Amgad, Reda Ihtassine, Caroline Pénicaud, Anne Saint-Eve,
Lucia Brisset, Axel-Cyrille Ngonga Ngomo, and Mohamed Ahmed Sherif. “PBFF-KG:
A FAIR Knowledge Graph Towards Sustainable Design of Plant-Based Fermented Foods.”
In Proceedings of FOODSIM’2026. Ghent, Belgium, 2026.'
ieee: 'A. Abdulmaqsod et al., “PBFF-KG: A FAIR Knowledge Graph Towards Sustainable
Design of Plant-Based Fermented Foods,” 2026.'
mla: 'Abdulmaqsod, Amgad, et al. “PBFF-KG: A FAIR Knowledge Graph Towards Sustainable
Design of Plant-Based Fermented Foods.” Proceedings of FOODSIM’2026, 2026.'
short: 'A. Abdulmaqsod, R. Ihtassine, C. Pénicaud, A. Saint-Eve, L. Brisset, A.-C.
Ngonga Ngomo, M.A. Sherif, in: Proceedings of FOODSIM’2026, Ghent, Belgium, 2026.'
date_created: 2026-10-02T07:50:49Z
date_updated: 2026-10-02T08:00:41Z
keyword:
- amgad dice fairomics ihtassine ngonga sail sherif whale
place: Ghent, Belgium
publication: Proceedings of FOODSIM’2026
status: public
title: 'PBFF-KG: A FAIR Knowledge Graph Towards Sustainable Design of Plant-Based
Fermented Foods'
type: conference
user_id: '67234'
year: '2026'
...
---
_id: '67342'
author:
- first_name: Duygu
full_name: Ekinci Birol, Duygu
last_name: Ekinci Birol
- first_name: N’Dah Jean
full_name: Kouagou, N’Dah Jean
last_name: Kouagou
- first_name: Shivam
full_name: Sharma, Shivam
last_name: Sharma
- first_name: Albert
full_name: Khomich, Albert
last_name: Khomich
- first_name: Mohamed Ahmed
full_name: Sherif, Mohamed Ahmed
last_name: Sherif
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
last_name: Ngonga Ngomo
citation:
ama: 'Ekinci Birol D, Kouagou NJ, Sharma S, Khomich A, Sherif MA, Ngonga Ngomo A-C.
ASTRA: Adaptive Structure-Aware Post-Hoc Alignment of Knowledge Graph Embeddings.
In: ECML PKDD 2026. ; 2026.'
apa: 'Ekinci Birol, D., Kouagou, N. J., Sharma, S., Khomich, A., Sherif, M. A.,
& Ngonga Ngomo, A.-C. (2026). ASTRA: Adaptive Structure-Aware Post-Hoc Alignment
of Knowledge Graph Embeddings. ECML PKDD 2026.'
bibtex: '@inproceedings{Ekinci Birol_Kouagou_Sharma_Khomich_Sherif_Ngonga Ngomo_2026,
title={ASTRA: Adaptive Structure-Aware Post-Hoc Alignment of Knowledge Graph Embeddings},
booktitle={ECML PKDD 2026}, author={Ekinci Birol, Duygu and Kouagou, N’Dah Jean
and Sharma, Shivam and Khomich, Albert and Sherif, Mohamed Ahmed and Ngonga Ngomo,
Axel-Cyrille}, year={2026} }'
chicago: 'Ekinci Birol, Duygu, N’Dah Jean Kouagou, Shivam Sharma, Albert Khomich,
Mohamed Ahmed Sherif, and Axel-Cyrille Ngonga Ngomo. “ASTRA: Adaptive Structure-Aware
Post-Hoc Alignment of Knowledge Graph Embeddings.” In ECML PKDD 2026, 2026.'
ieee: 'D. Ekinci Birol, N. J. Kouagou, S. Sharma, A. Khomich, M. A. Sherif, and
A.-C. Ngonga Ngomo, “ASTRA: Adaptive Structure-Aware Post-Hoc Alignment of Knowledge
Graph Embeddings,” 2026.'
mla: 'Ekinci Birol, Duygu, et al. “ASTRA: Adaptive Structure-Aware Post-Hoc Alignment
of Knowledge Graph Embeddings.” ECML PKDD 2026, 2026.'
short: 'D. Ekinci Birol, N.J. Kouagou, S. Sharma, A. Khomich, M.A. Sherif, A.-C.
Ngonga Ngomo, in: ECML PKDD 2026, 2026.'
date_created: 2026-10-02T07:51:32Z
date_updated: 2026-10-02T08:00:25Z
keyword:
- dice duygu fairomics khomich kouagou ngonga sail sharma sherif trr318 whale
publication: ECML PKDD 2026
status: public
title: 'ASTRA: Adaptive Structure-Aware Post-Hoc Alignment of Knowledge Graph Embeddings'
type: conference
user_id: '67234'
year: '2026'
...
---
_id: '67345'
author:
- first_name: Julia
full_name: Bobe, Julia
id: '81770'
last_name: Bobe
- first_name: Marcus
full_name: Eckert, Marcus
last_name: Eckert
- first_name: Viviane
full_name: Scherenberg, Viviane
last_name: Scherenberg
- first_name: Katrin B.
full_name: Klingsieck, Katrin B.
id: '36716'
last_name: Klingsieck
citation:
ama: 'Bobe J, Eckert M, Scherenberg V, Klingsieck KB. Heute schon an morgen denken
- Gruppenunterschiede in der Prokrastination klimafreundlichen Verhaltens. In:
; 2026.'
apa: Bobe, J., Eckert, M., Scherenberg, V., & Klingsieck, K. B. (2026). Heute
schon an morgen denken - Gruppenunterschiede in der Prokrastination klimafreundlichen
Verhaltens. First Conference of the DGPs Interest Group “Human – Climate
– Sustainability,” Hannover.
bibtex: '@inproceedings{Bobe_Eckert_Scherenberg_Klingsieck_2026, title={Heute schon
an morgen denken - Gruppenunterschiede in der Prokrastination klimafreundlichen
Verhaltens}, author={Bobe, Julia and Eckert, Marcus and Scherenberg, Viviane and
Klingsieck, Katrin B.}, year={2026} }'
chicago: Bobe, Julia, Marcus Eckert, Viviane Scherenberg, and Katrin B. Klingsieck.
“Heute Schon an Morgen Denken - Gruppenunterschiede in Der Prokrastination Klimafreundlichen
Verhaltens,” 2026.
ieee: J. Bobe, M. Eckert, V. Scherenberg, and K. B. Klingsieck, “Heute schon an
morgen denken - Gruppenunterschiede in der Prokrastination klimafreundlichen Verhaltens,”
presented at the First Conference of the DGPs Interest Group “Human – Climate
– Sustainability,” Hannover, 2026.
mla: Bobe, Julia, et al. Heute Schon an Morgen Denken - Gruppenunterschiede in
Der Prokrastination Klimafreundlichen Verhaltens. 2026.
short: 'J. Bobe, M. Eckert, V. Scherenberg, K.B. Klingsieck, in: 2026.'
conference:
end_date: 2026-02-25
location: Hannover
name: First Conference of the DGPs Interest Group “Human – Climate – Sustainability”
start_date: 2026-02-23
date_created: 2026-10-02T10:17:55Z
date_updated: 2026-10-02T10:27:18Z
language:
- iso: eng
status: public
title: Heute schon an morgen denken - Gruppenunterschiede in der Prokrastination klimafreundlichen
Verhaltens
type: conference
user_id: '81770'
year: '2026'
...
---
_id: '67346'
author:
- first_name: Julia
full_name: Bobe, Julia
id: '81770'
last_name: Bobe
- first_name: Marcus
full_name: Eckert, Marcus
last_name: Eckert
- first_name: Viviane
full_name: Scherenberg, Viviane
last_name: Scherenberg
- first_name: Katrin B.
full_name: Klingsieck, Katrin B.
id: '36716'
last_name: Klingsieck
citation:
ama: 'Bobe J, Eckert M, Scherenberg V, Klingsieck KB. Stress, Compulsive Internet
Use, and Procrastination - A Mediation Model of Procrastination in High School
Students. In: ; 2026.'
apa: Bobe, J., Eckert, M., Scherenberg, V., & Klingsieck, K. B. (2026). Stress,
Compulsive Internet Use, and Procrastination - A Mediation Model of Procrastination
in High School Students. 54th DGPs Congress 2026, Luxembourg.
bibtex: '@inproceedings{Bobe_Eckert_Scherenberg_Klingsieck_2026, title={Stress,
Compulsive Internet Use, and Procrastination - A Mediation Model of Procrastination
in High School Students}, author={Bobe, Julia and Eckert, Marcus and Scherenberg,
Viviane and Klingsieck, Katrin B.}, year={2026} }'
chicago: Bobe, Julia, Marcus Eckert, Viviane Scherenberg, and Katrin B. Klingsieck.
“Stress, Compulsive Internet Use, and Procrastination - A Mediation Model of Procrastination
in High School Students,” 2026.
ieee: J. Bobe, M. Eckert, V. Scherenberg, and K. B. Klingsieck, “Stress, Compulsive
Internet Use, and Procrastination - A Mediation Model of Procrastination in High
School Students,” presented at the 54th DGPs Congress 2026, Luxembourg, 2026.
mla: Bobe, Julia, et al. Stress, Compulsive Internet Use, and Procrastination
- A Mediation Model of Procrastination in High School Students. 2026.
short: 'J. Bobe, M. Eckert, V. Scherenberg, K.B. Klingsieck, in: 2026.'
conference:
end_date: 2026-09-10
location: Luxembourg
name: 54th DGPs Congress 2026
start_date: 2026-09-07
date_created: 2026-10-02T10:20:45Z
date_updated: 2026-10-02T10:27:09Z
language:
- iso: eng
status: public
title: Stress, Compulsive Internet Use, and Procrastination - A Mediation Model of
Procrastination in High School Students
type: conference
user_id: '81770'
year: '2026'
...
---
_id: '67348'
author:
- first_name: Julia
full_name: Bobe, Julia
id: '81770'
last_name: Bobe
citation:
ama: Bobe J. Prokrastination Und Die Bedeutung Des Subjektiven Unwohlseins.;
2026.
apa: Bobe, J. (2026). Prokrastination und die Bedeutung des subjektiven Unwohlseins.
bibtex: '@book{Bobe_2026, title={Prokrastination und die Bedeutung des subjektiven
Unwohlseins}, author={Bobe, Julia}, year={2026} }'
chicago: Bobe, Julia. Prokrastination Und Die Bedeutung Des Subjektiven Unwohlseins,
2026.
ieee: J. Bobe, Prokrastination und die Bedeutung des subjektiven Unwohlseins.
2026.
mla: Bobe, Julia. Prokrastination Und Die Bedeutung Des Subjektiven Unwohlseins.
2026.
short: J. Bobe, Prokrastination Und Die Bedeutung Des Subjektiven Unwohlseins, 2026.
date_created: 2026-10-02T10:34:34Z
date_updated: 2026-10-02T10:34:40Z
language:
- iso: eng
status: public
title: Prokrastination und die Bedeutung des subjektiven Unwohlseins
type: dissertation
user_id: '81770'
year: '2026'
...
---
_id: '67357'
abstract:
- lang: eng
text: The complexity and interconnectivity of modern automotive systems
are rapidly increasing, particularly with the rise of distributed and cooperative
driving functions. These developments increase exposure to a range of disruptions,
from technical failures to cyberattacks, and demand a shift towards resilience-by-design.
This study addresses the early integration of resilience into the automotive design
process by proposing a structured method for identifying gaps and eliciting resilience
requirements. Building upon the concept of resilience scenarios, the approach
extends traditional hazard and threat analyses as defined in ISO 26262, ISO 21448
and ISO/SAE 21434. Using a structured, graph-based modeling method, these scenarios
enable the anticipation of functional degradation and its impact on driving scenarios.
The methodology helps developers to specify resilience requirements at an early
stage, enabling the integration of resilience properties throughout the system
lifecycle. Its practical applicability is demonstrated through an example in the
field of automotive cybersecurity. This study advances the field of resilience
engineering by providing a concrete approach for operationalizing resilience within
automotive systems engineering.
article_number: '51'
author:
- first_name: Isaac
full_name: Mpidi Bita, Isaac
last_name: Mpidi Bita
- first_name: Elif
full_name: Ugur, Elif
last_name: Ugur
- first_name: Aschot
full_name: Hovemann, Aschot
last_name: Hovemann
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Mpidi Bita I, Ugur E, Hovemann A, Dumitrescu R. Resilience-by-Design: Extracting
Resilience Requirements Using the Resilience Graph in the Automotive Concept Phase.
Future Internet. 2026;18(1). doi:10.3390/fi18010051'
apa: 'Mpidi Bita, I., Ugur, E., Hovemann, A., & Dumitrescu, R. (2026). Resilience-by-Design:
Extracting Resilience Requirements Using the Resilience Graph in the Automotive
Concept Phase. Future Internet, 18(1), Article 51. https://doi.org/10.3390/fi18010051'
bibtex: '@article{Mpidi Bita_Ugur_Hovemann_Dumitrescu_2026, title={Resilience-by-Design:
Extracting Resilience Requirements Using the Resilience Graph in the Automotive
Concept Phase}, volume={18}, DOI={10.3390/fi18010051},
number={151}, journal={Future Internet}, publisher={MDPI AG}, author={Mpidi Bita,
Isaac and Ugur, Elif and Hovemann, Aschot and Dumitrescu, Roman}, year={2026}
}'
chicago: 'Mpidi Bita, Isaac, Elif Ugur, Aschot Hovemann, and Roman Dumitrescu. “Resilience-by-Design:
Extracting Resilience Requirements Using the Resilience Graph in the Automotive
Concept Phase.” Future Internet 18, no. 1 (2026). https://doi.org/10.3390/fi18010051.'
ieee: 'I. Mpidi Bita, E. Ugur, A. Hovemann, and R. Dumitrescu, “Resilience-by-Design:
Extracting Resilience Requirements Using the Resilience Graph in the Automotive
Concept Phase,” Future Internet, vol. 18, no. 1, Art. no. 51, 2026, doi:
10.3390/fi18010051.'
mla: 'Mpidi Bita, Isaac, et al. “Resilience-by-Design: Extracting Resilience Requirements
Using the Resilience Graph in the Automotive Concept Phase.” Future Internet,
vol. 18, no. 1, 51, MDPI AG, 2026, doi:10.3390/fi18010051.'
short: I. Mpidi Bita, E. Ugur, A. Hovemann, R. Dumitrescu, Future Internet 18 (2026).
date_created: 2026-10-02T13:24:10Z
date_updated: 2026-10-02T13:45:32Z
department:
- _id: '563'
doi: 10.3390/fi18010051
intvolume: ' 18'
issue: '1'
language:
- iso: eng
publication: Future Internet
publication_identifier:
issn:
- 1999-5903
publication_status: published
publisher: MDPI AG
status: public
title: 'Resilience-by-Design: Extracting Resilience Requirements Using the Resilience
Graph in the Automotive Concept Phase'
type: journal_article
user_id: '15782'
volume: 18
year: '2026'
...
---
_id: '67358'
abstract:
- lang: eng
text: "ABSTRACT:\r\n Small and
medium-sized enterprises often lack the time, expertise, and tools for effective
scenario management. This paper proposes a modular, AI-enabled scenario architecture
integrating a guided wizard and expert environment on a shared knowledge backbone.
The design aims to reduce effort and tool fragmentation while preserving human
judgment, structural quality, explainability, and traceability. The proposed pattern
outlines a provenance-aware foresight pipeline with human-in-the-loop capabilities
that aims to transform one-off projects into reusable organizational knowledge."
author:
- first_name: Jonas
full_name: Knepler, Jonas
last_name: Knepler
- first_name: Tobias
full_name: Seidenberg, Tobias
last_name: Seidenberg
- first_name: Khoren
full_name: Grigoryan, Khoren
last_name: Grigoryan
- first_name: Laban
full_name: Asmar, Laban
last_name: Asmar
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Knepler J, Seidenberg T, Grigoryan K, Asmar L, Dumitrescu R. AI-based scenario
management for SMEs: the need for modular, explainable and reusable foresight
pipelines. Proceedings of the Design Society. 2026;6:2373-2382. doi:10.1017/pds.2026.10595'
apa: 'Knepler, J., Seidenberg, T., Grigoryan, K., Asmar, L., & Dumitrescu, R.
(2026). AI-based scenario management for SMEs: the need for modular, explainable
and reusable foresight pipelines. Proceedings of the Design Society, 6,
2373–2382. https://doi.org/10.1017/pds.2026.10595'
bibtex: '@article{Knepler_Seidenberg_Grigoryan_Asmar_Dumitrescu_2026, title={AI-based
scenario management for SMEs: the need for modular, explainable and reusable foresight
pipelines}, volume={6}, DOI={10.1017/pds.2026.10595},
journal={Proceedings of the Design Society}, publisher={Cambridge University Press
(CUP)}, author={Knepler, Jonas and Seidenberg, Tobias and Grigoryan, Khoren and
Asmar, Laban and Dumitrescu, Roman}, year={2026}, pages={2373–2382} }'
chicago: 'Knepler, Jonas, Tobias Seidenberg, Khoren Grigoryan, Laban Asmar, and
Roman Dumitrescu. “AI-Based Scenario Management for SMEs: The Need for Modular,
Explainable and Reusable Foresight Pipelines.” Proceedings of the Design Society
6 (2026): 2373–82. https://doi.org/10.1017/pds.2026.10595.'
ieee: 'J. Knepler, T. Seidenberg, K. Grigoryan, L. Asmar, and R. Dumitrescu, “AI-based
scenario management for SMEs: the need for modular, explainable and reusable foresight
pipelines,” Proceedings of the Design Society, vol. 6, pp. 2373–2382, 2026,
doi: 10.1017/pds.2026.10595.'
mla: 'Knepler, Jonas, et al. “AI-Based Scenario Management for SMEs: The Need for
Modular, Explainable and Reusable Foresight Pipelines.” Proceedings of the
Design Society, vol. 6, Cambridge University Press (CUP), 2026, pp. 2373–82,
doi:10.1017/pds.2026.10595.'
short: J. Knepler, T. Seidenberg, K. Grigoryan, L. Asmar, R. Dumitrescu, Proceedings
of the Design Society 6 (2026) 2373–2382.
date_created: 2026-10-02T13:24:27Z
date_updated: 2026-10-02T13:45:28Z
department:
- _id: '563'
doi: 10.1017/pds.2026.10595
intvolume: ' 6'
language:
- iso: eng
page: 2373-2382
publication: Proceedings of the Design Society
publication_identifier:
issn:
- 2732-527X
publication_status: published
publisher: Cambridge University Press (CUP)
status: public
title: 'AI-based scenario management for SMEs: the need for modular, explainable and
reusable foresight pipelines'
type: journal_article
user_id: '15782'
volume: 6
year: '2026'
...
---
_id: '67367'
abstract:
- lang: eng
text: "ABSTRACT:\r\n Connected
and Autonomous Vehicles (CAV) are increasingly complex, making resilience hard
to guarantee. Resilience means maintaining functionality and availability despite
disruptions while ensuring safety. Designing a resilient system requires system-level
analysis early in the concept phase to identify and mitigate risks, thereby securing
reliability and availability. This paper introduces the Automotive Resilience
Maturity Model (ARMM), which evaluates automotive systems’ resilience levels based
on their system architecture."
author:
- first_name: Isaac
full_name: Mpidi Bita, Isaac
last_name: Mpidi Bita
- first_name: Venkatesh
full_name: Mellacheruvu, Venkatesh
last_name: Mellacheruvu
- first_name: Elif
full_name: Ugur, Elif
last_name: Ugur
- first_name: Aschot
full_name: Hovemann, Aschot
last_name: Hovemann
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Mpidi Bita I, Mellacheruvu V, Ugur E, Hovemann A, Dumitrescu R. Resilience-by-design:
maturity model for assessing the resilience capabilities of automotive systems
architecture in the concept phase. Proceedings of the Design Society. 2026;6:2821-2830.
doi:10.1017/pds.2026.10640'
apa: 'Mpidi Bita, I., Mellacheruvu, V., Ugur, E., Hovemann, A., & Dumitrescu,
R. (2026). Resilience-by-design: maturity model for assessing the resilience capabilities
of automotive systems architecture in the concept phase. Proceedings of the
Design Society, 6, 2821–2830. https://doi.org/10.1017/pds.2026.10640'
bibtex: '@article{Mpidi Bita_Mellacheruvu_Ugur_Hovemann_Dumitrescu_2026, title={Resilience-by-design:
maturity model for assessing the resilience capabilities of automotive systems
architecture in the concept phase}, volume={6}, DOI={10.1017/pds.2026.10640},
journal={Proceedings of the Design Society}, publisher={Cambridge University Press
(CUP)}, author={Mpidi Bita, Isaac and Mellacheruvu, Venkatesh and Ugur, Elif and
Hovemann, Aschot and Dumitrescu, Roman}, year={2026}, pages={2821–2830} }'
chicago: 'Mpidi Bita, Isaac, Venkatesh Mellacheruvu, Elif Ugur, Aschot Hovemann,
and Roman Dumitrescu. “Resilience-by-Design: Maturity Model for Assessing the
Resilience Capabilities of Automotive Systems Architecture in the Concept Phase.”
Proceedings of the Design Society 6 (2026): 2821–30. https://doi.org/10.1017/pds.2026.10640.'
ieee: 'I. Mpidi Bita, V. Mellacheruvu, E. Ugur, A. Hovemann, and R. Dumitrescu,
“Resilience-by-design: maturity model for assessing the resilience capabilities
of automotive systems architecture in the concept phase,” Proceedings of the
Design Society, vol. 6, pp. 2821–2830, 2026, doi: 10.1017/pds.2026.10640.'
mla: 'Mpidi Bita, Isaac, et al. “Resilience-by-Design: Maturity Model for Assessing
the Resilience Capabilities of Automotive Systems Architecture in the Concept
Phase.” Proceedings of the Design Society, vol. 6, Cambridge University
Press (CUP), 2026, pp. 2821–30, doi:10.1017/pds.2026.10640.'
short: I. Mpidi Bita, V. Mellacheruvu, E. Ugur, A. Hovemann, R. Dumitrescu, Proceedings
of the Design Society 6 (2026) 2821–2830.
date_created: 2026-10-02T13:36:46Z
date_updated: 2026-10-02T13:45:04Z
department:
- _id: '563'
doi: 10.1017/pds.2026.10640
intvolume: ' 6'
language:
- iso: eng
page: 2821-2830
publication: Proceedings of the Design Society
publication_identifier:
issn:
- 2732-527X
publication_status: published
publisher: Cambridge University Press (CUP)
status: public
title: 'Resilience-by-design: maturity model for assessing the resilience capabilities
of automotive systems architecture in the concept phase'
type: journal_article
user_id: '15782'
volume: 6
year: '2026'
...
---
_id: '67368'
abstract:
- lang: eng
text: "ABSTRACT:\r\n Sustainability
is a central challenge in engineering. Early architectural design decisions strongly
influence a product’s ecological footprint and long-term sustainability potential.
Addressing these aspects in the concept phase is therefore essential. This paper
analyses how architecture decisions - such as modularity, standardisation, redundancy,
and updateability - affect ecological sustainability. The qualitative assessment
helps practitioners to anticipate environmental impacts and foster sustainability
awareness in product architecture development."
author:
- first_name: Robin
full_name: Grothe, Robin
last_name: Grothe
- first_name: Isaac Mpidi
full_name: Bita, Isaac Mpidi
last_name: Bita
- first_name: Aschot
full_name: Hovemann, Aschot
last_name: Hovemann
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Grothe R, Bita IM, Hovemann A, Dumitrescu R. Sustainability by design: the
impact of product architecture decisions on the sustainability of products – a
practitioner qualitative assessment. Proceedings of the Design Society.
2026;6:1291-1300. doi:10.1017/pds.2026.10487'
apa: 'Grothe, R., Bita, I. M., Hovemann, A., & Dumitrescu, R. (2026). Sustainability
by design: the impact of product architecture decisions on the sustainability
of products – a practitioner qualitative assessment. Proceedings of the Design
Society, 6, 1291–1300. https://doi.org/10.1017/pds.2026.10487'
bibtex: '@article{Grothe_Bita_Hovemann_Dumitrescu_2026, title={Sustainability by
design: the impact of product architecture decisions on the sustainability of
products – a practitioner qualitative assessment}, volume={6}, DOI={10.1017/pds.2026.10487},
journal={Proceedings of the Design Society}, publisher={Cambridge University Press
(CUP)}, author={Grothe, Robin and Bita, Isaac Mpidi and Hovemann, Aschot and Dumitrescu,
Roman}, year={2026}, pages={1291–1300} }'
chicago: 'Grothe, Robin, Isaac Mpidi Bita, Aschot Hovemann, and Roman Dumitrescu.
“Sustainability by Design: The Impact of Product Architecture Decisions on the
Sustainability of Products – a Practitioner Qualitative Assessment.” Proceedings
of the Design Society 6 (2026): 1291–1300. https://doi.org/10.1017/pds.2026.10487.'
ieee: 'R. Grothe, I. M. Bita, A. Hovemann, and R. Dumitrescu, “Sustainability by
design: the impact of product architecture decisions on the sustainability of
products – a practitioner qualitative assessment,” Proceedings of the Design
Society, vol. 6, pp. 1291–1300, 2026, doi: 10.1017/pds.2026.10487.'
mla: 'Grothe, Robin, et al. “Sustainability by Design: The Impact of Product Architecture
Decisions on the Sustainability of Products – a Practitioner Qualitative Assessment.”
Proceedings of the Design Society, vol. 6, Cambridge University Press (CUP),
2026, pp. 1291–300, doi:10.1017/pds.2026.10487.'
short: R. Grothe, I.M. Bita, A. Hovemann, R. Dumitrescu, Proceedings of the Design
Society 6 (2026) 1291–1300.
date_created: 2026-10-02T13:37:18Z
date_updated: 2026-10-02T13:45:01Z
department:
- _id: '563'
doi: 10.1017/pds.2026.10487
intvolume: ' 6'
language:
- iso: eng
page: 1291-1300
publication: Proceedings of the Design Society
publication_identifier:
issn:
- 2732-527X
publication_status: published
publisher: Cambridge University Press (CUP)
status: public
title: 'Sustainability by design: the impact of product architecture decisions on
the sustainability of products – a practitioner qualitative assessment'
type: journal_article
user_id: '15782'
volume: 6
year: '2026'
...