---
_id: '67281'
author:
- first_name: Elena
full_name: Bender, Elena
id: '3211'
last_name: Bender
- first_name: Maia
full_name: Iobidze, Maia
last_name: Iobidze
citation:
ama: 'Bender E, Iobidze M. Lernfelddidaktik im Psychologieunterricht an berufsbildenden
Schulen. In: Scharlau I, Bender E, Patrzek J, Schreiber C, eds. Psychologiedidaktik
an allgemeinbildenden und beruflichen Schulen: Ein Lehrbuch mit Unterrichtsmaterialien
. Springer Nature; 2025:55-88.'
apa: 'Bender, E., & Iobidze, M. (2025). Lernfelddidaktik im Psychologieunterricht
an berufsbildenden Schulen. In I. Scharlau, E. Bender, J. Patrzek, & C. Schreiber
(Eds.), Psychologiedidaktik an allgemeinbildenden und beruflichen Schulen:
Ein Lehrbuch mit Unterrichtsmaterialien (pp. 55–88). Springer Nature.'
bibtex: '@inbook{Bender_Iobidze_2025, place={Berlin}, title={Lernfelddidaktik im
Psychologieunterricht an berufsbildenden Schulen}, booktitle={Psychologiedidaktik
an allgemeinbildenden und beruflichen Schulen: Ein Lehrbuch mit Unterrichtsmaterialien
}, publisher={Springer Nature}, author={Bender, Elena and Iobidze, Maia}, editor={Scharlau,
Ingrid and Bender, Elena and Patrzek, Justine and Schreiber, Christine}, year={2025},
pages={55–88} }'
chicago: 'Bender, Elena, and Maia Iobidze. “Lernfelddidaktik im Psychologieunterricht
an berufsbildenden Schulen.” In Psychologiedidaktik an allgemeinbildenden und
beruflichen Schulen: Ein Lehrbuch mit Unterrichtsmaterialien , edited by Ingrid
Scharlau, Elena Bender, Justine Patrzek, and Christine Schreiber, 55–88. Berlin:
Springer Nature, 2025.'
ieee: 'E. Bender and M. Iobidze, “Lernfelddidaktik im Psychologieunterricht an berufsbildenden
Schulen,” in Psychologiedidaktik an allgemeinbildenden und beruflichen Schulen:
Ein Lehrbuch mit Unterrichtsmaterialien , I. Scharlau, E. Bender, J. Patrzek,
and C. Schreiber, Eds. Berlin: Springer Nature, 2025, pp. 55–88.'
mla: 'Bender, Elena, and Maia Iobidze. “Lernfelddidaktik im Psychologieunterricht
an berufsbildenden Schulen.” Psychologiedidaktik an allgemeinbildenden und
beruflichen Schulen: Ein Lehrbuch mit Unterrichtsmaterialien , edited by Ingrid
Scharlau et al., Springer Nature, 2025, pp. 55–88.'
short: 'E. Bender, M. Iobidze, in: I. Scharlau, E. Bender, J. Patrzek, C. Schreiber
(Eds.), Psychologiedidaktik an allgemeinbildenden und beruflichen Schulen: Ein
Lehrbuch mit Unterrichtsmaterialien , Springer Nature, Berlin, 2025, pp. 55–88.'
date_created: 2026-09-30T09:48:48Z
date_updated: 2026-09-30T09:51:23Z
editor:
- first_name: Ingrid
full_name: Scharlau, Ingrid
last_name: Scharlau
- first_name: Elena
full_name: Bender, Elena
last_name: Bender
- first_name: Justine
full_name: Patrzek, Justine
last_name: Patrzek
- first_name: Christine
full_name: Schreiber, Christine
last_name: Schreiber
extern: '1'
keyword:
- Unterrichtsfach Psychologie
- Psychologiedidaktik
language:
- iso: ger
page: 55-88
place: Berlin
publication: 'Psychologiedidaktik an allgemeinbildenden und beruflichen Schulen: Ein
Lehrbuch mit Unterrichtsmaterialien '
publication_identifier:
eisbn:
- 978-3-662-69481-7
isbn:
- 978-3-662-69480-1
publication_status: published
publisher: Springer Nature
status: public
title: Lernfelddidaktik im Psychologieunterricht an berufsbildenden Schulen
type: book_chapter
user_id: '451'
year: '2025'
...
---
_id: '51159'
abstract:
- lang: eng
text: Sparsity is a highly desired feature in deep neural networks (DNNs) since
it ensures numerical efficiency, improves the interpretability of models (due
to the smaller number of relevant features), and robustness. In machine learning
approaches based on linear models, it is well known that there exists a connecting
path between the sparsest solution in terms of the $\ell^1$ norm,i.e., zero weights
and the non-regularized solution, which is called the regularization path. Very
recently, there was a first attempt to extend the concept of regularization paths
to DNNs by means of treating the empirical loss and sparsity ($\ell^1$ norm) as
two conflicting criteria and solving the resulting multiobjective optimization
problem. However, due to the non-smoothness of the $\ell^1$ norm and the high
number of parameters, this approach is not very efficient from a computational
perspective. To overcome this limitation, we present an algorithm that allows
for the approximation of the entire Pareto front for the above-mentioned objectives
in a very efficient manner. We present numerical examples using both deterministic
and stochastic gradients. We furthermore demonstrate that knowledge of the regularization
path allows for a well-generalizing network parametrization.
article_number: '100625'
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. A multiobjective continuation method to compute
the regularization path of deep neural networks. Machine Learning with Applications.
2025;19. doi:10.1016/j.mlwa.2025.100625
apa: Amakor, A. C., Sonntag, K., & Peitz, S. (2025). A multiobjective continuation
method to compute the regularization path of deep neural networks. Machine
Learning with Applications, 19, Article 100625. https://doi.org/10.1016/j.mlwa.2025.100625
bibtex: '@article{Amakor_Sonntag_Peitz_2025, title={A multiobjective continuation
method to compute the regularization path of deep neural networks}, volume={19},
DOI={10.1016/j.mlwa.2025.100625},
number={100625}, journal={Machine Learning with Applications}, publisher={Elsevier},
author={Amakor, Augustina Chidinma and Sonntag, Konstantin and Peitz, Sebastian},
year={2025} }'
chicago: Amakor, Augustina Chidinma, Konstantin Sonntag, and Sebastian Peitz. “A
Multiobjective Continuation Method to Compute the Regularization Path of Deep
Neural Networks.” Machine Learning with Applications 19 (2025). https://doi.org/10.1016/j.mlwa.2025.100625.
ieee: 'A. C. Amakor, K. Sonntag, and S. Peitz, “A multiobjective continuation method
to compute the regularization path of deep neural networks,” Machine Learning
with Applications, vol. 19, Art. no. 100625, 2025, doi: 10.1016/j.mlwa.2025.100625.'
mla: Amakor, Augustina Chidinma, et al. “A Multiobjective Continuation Method to
Compute the Regularization Path of Deep Neural Networks.” Machine Learning
with Applications, vol. 19, 100625, Elsevier, 2025, doi:10.1016/j.mlwa.2025.100625.
short: A.C. Amakor, K. Sonntag, S. Peitz, Machine Learning with Applications 19
(2025).
date_created: 2024-02-06T08:51:00Z
date_updated: 2026-10-01T11:33:45Z
ddc:
- '000'
department:
- _id: '655'
doi: 10.1016/j.mlwa.2025.100625
file:
- access_level: closed
content_type: application/pdf
creator: speitz
date_created: 2026-10-01T11:24:57Z
date_updated: 2026-10-01T11:24:57Z
file_id: '67296'
file_name: ASP25_A multiobjective continuation method to compute the regularization
path of deep neural networks.pdf
file_size: 2433955
relation: main_file
success: 1
file_date_updated: 2026-10-01T11:24:57Z
has_accepted_license: '1'
intvolume: ' 19'
language:
- iso: eng
publication: Machine Learning with Applications
publisher: Elsevier
quality_controlled: '1'
status: public
title: A multiobjective continuation method to compute the regularization path of
deep neural networks
type: journal_article
user_id: '47427'
volume: 19
year: '2025'
...
---
_id: '46579'
abstract:
- lang: eng
text: "The Koopman operator has become an essential tool for data-driven analysis,
prediction and control of complex systems, the main reason being the enormous
potential of identifying linear function space representations of nonlinear\r\ndynamics
from measurements. Until now, the situation where for large-scale systems, we
(i) only have access to partial observations (i.e., measurements, as is very common
for experimental data) or (ii) deliberately perform coarse\r\ngraining (for efficiency
reasons) has not been treated to its full extent. In this paper, we address the
pitfall associated with this situation, that the classical EDMD algorithm does
not automatically provide a Koopman operator approximation for the underlying
system if we do not carefully select the number of observables. Moreover, we show
that symmetries in the system dynamics can be carried over to the Koopman operator,
which allows us to massively increase the model efficiency. We also briefly draw
a connection to domain decomposition techniques for partial differential equations
and present numerical evidence using the Kuramoto--Sivashinsky equation."
author:
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
- first_name: Hans
full_name: Harder, Hans
id: '98879'
last_name: Harder
- first_name: Feliks
full_name: Nüske, Feliks
last_name: Nüske
- first_name: Friedrich
full_name: Philipp, Friedrich
last_name: Philipp
- first_name: Manuel
full_name: Schaller, Manuel
last_name: Schaller
- first_name: Karl
full_name: Worthmann, Karl
last_name: Worthmann
citation:
ama: Peitz S, Harder H, Nüske F, Philipp F, Schaller M, Worthmann K. Equivariance
and partial observations in Koopman operator theory for partial differential equations.
Journal of Computational Dynamics. 2025;12:305-324. doi:10.3934/jcd.2024035
apa: Peitz, S., Harder, H., Nüske, F., Philipp, F., Schaller, M., & Worthmann,
K. (2025). Equivariance and partial observations in Koopman operator theory for
partial differential equations. Journal of Computational Dynamics, 12,
305–324. https://doi.org/10.3934/jcd.2024035
bibtex: '@article{Peitz_Harder_Nüske_Philipp_Schaller_Worthmann_2025, title={Equivariance
and partial observations in Koopman operator theory for partial differential equations},
volume={12}, DOI={10.3934/jcd.2024035},
journal={Journal of Computational Dynamics}, author={Peitz, Sebastian and Harder,
Hans and Nüske, Feliks and Philipp, Friedrich and Schaller, Manuel and Worthmann,
Karl}, year={2025}, pages={305–324} }'
chicago: 'Peitz, Sebastian, Hans Harder, Feliks Nüske, Friedrich Philipp, Manuel
Schaller, and Karl Worthmann. “Equivariance and Partial Observations in Koopman
Operator Theory for Partial Differential Equations.” Journal of Computational
Dynamics 12 (2025): 305–24. https://doi.org/10.3934/jcd.2024035.'
ieee: 'S. Peitz, H. Harder, F. Nüske, F. Philipp, M. Schaller, and K. Worthmann,
“Equivariance and partial observations in Koopman operator theory for partial
differential equations,” Journal of Computational Dynamics, vol. 12, pp.
305–324, 2025, doi: 10.3934/jcd.2024035.'
mla: Peitz, Sebastian, et al. “Equivariance and Partial Observations in Koopman
Operator Theory for Partial Differential Equations.” Journal of Computational
Dynamics, vol. 12, 2025, pp. 305–24, doi:10.3934/jcd.2024035.
short: S. Peitz, H. Harder, F. Nüske, F. Philipp, M. Schaller, K. Worthmann, Journal
of Computational Dynamics 12 (2025) 305–324.
date_created: 2023-08-21T05:52:24Z
date_updated: 2026-10-01T11:32:34Z
department:
- _id: '655'
doi: 10.3934/jcd.2024035
external_id:
arxiv:
- '2307.15325'
intvolume: ' 12'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/pdf/2307.15325
oa: '1'
page: 305-324
publication: Journal of Computational Dynamics
status: public
title: Equivariance and partial observations in Koopman operator theory for partial
differential equations
type: journal_article
user_id: '47427'
volume: 12
year: '2025'
...
---
_id: '53793'
abstract:
- lang: eng
text: We utilize extreme learning machines for the prediction of partial differential
equations (PDEs). Our method splits the state space into multiple windows that
are predicted individually using a single model. Despite requiring only few data
points (in some cases, our method can learn from a single full-state snapshot),
it still achieves high accuracy and can predict the flow of PDEs over long time
horizons. Moreover, we show how additional symmetries can be exploited to increase
sample efficiency and to enforce equivariance.
author:
- first_name: Hans
full_name: Harder, Hans
id: '98879'
last_name: Harder
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
citation:
ama: 'Harder H, Peitz S. Solving partial differential equations with equivariant
extreme learning machines. In: Berberich J, Ianelli A, Allgöwer F, eds. Systems
Theory in Data and Optimization. Springer; 2025:153-168. doi:10.1007/978-3-031-83191-1_10'
apa: Harder, H., & Peitz, S. (2025). Solving partial differential equations
with equivariant extreme learning machines. In J. Berberich, A. Ianelli, &
F. Allgöwer (Eds.), Systems theory in data and optimization (pp. 153–168).
Springer. https://doi.org/10.1007/978-3-031-83191-1_10
bibtex: '@inproceedings{Harder_Peitz_2025, place={Cham}, title={Solving partial
differential equations with equivariant extreme learning machines}, DOI={10.1007/978-3-031-83191-1_10},
booktitle={Systems theory in data and optimization}, publisher={Springer}, author={Harder,
Hans and Peitz, Sebastian}, editor={Berberich, J. and Ianelli, A. and Allgöwer,
F.}, year={2025}, pages={153–168} }'
chicago: 'Harder, Hans, and Sebastian Peitz. “Solving Partial Differential Equations
with Equivariant Extreme Learning Machines.” In Systems Theory in Data and
Optimization, edited by J. Berberich, A. Ianelli, and F. Allgöwer, 153–68.
Cham: Springer, 2025. https://doi.org/10.1007/978-3-031-83191-1_10.'
ieee: 'H. Harder and S. Peitz, “Solving partial differential equations with equivariant
extreme learning machines,” in Systems theory in data and optimization,
2025, pp. 153–168, doi: 10.1007/978-3-031-83191-1_10.'
mla: Harder, Hans, and Sebastian Peitz. “Solving Partial Differential Equations
with Equivariant Extreme Learning Machines.” Systems Theory in Data and Optimization,
edited by J. Berberich et al., Springer, 2025, pp. 153–68, doi:10.1007/978-3-031-83191-1_10.
short: 'H. Harder, S. Peitz, in: J. Berberich, A. Ianelli, F. Allgöwer (Eds.), Systems
Theory in Data and Optimization, Springer, Cham, 2025, pp. 153–168.'
date_created: 2024-04-30T08:43:14Z
date_updated: 2026-10-01T11:39:19Z
doi: 10.1007/978-3-031-83191-1_10
editor:
- first_name: J.
full_name: Berberich, J.
last_name: Berberich
- first_name: A.
full_name: Ianelli, A.
last_name: Ianelli
- first_name: F.
full_name: Allgöwer, F.
last_name: Allgöwer
keyword:
- extreme learning machines
- partial differential equations
- data-driven prediction
- high-dimensional systems
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2404.18530
oa: '1'
page: 153-168
place: Cham
publication: Systems theory in data and optimization
publication_identifier:
isbn:
- 978-3-031-83191-1
publication_status: published
publisher: Springer
status: public
title: Solving partial differential equations with equivariant extreme learning machines
type: conference
user_id: '47427'
year: '2025'
...
---
_id: '67313'
author:
- first_name: Diana
full_name: Voth, Diana
last_name: Voth
- first_name: Leonidas
full_name: Dane, Leonidas
last_name: Dane
- first_name: Jonas
full_name: Grebe, Jonas
last_name: Grebe
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
- first_name: Philipp
full_name: Terhörst, Philipp
last_name: Terhörst
citation:
ama: 'Voth D, Dane L, Grebe J, Peitz S, Terhörst P. Effective Backdoor Learning
on Open-Set Face Recognition Systems. In: 2025 IEEE/CVF Winter Conference on
Applications of Computer Vision (WACV). ; 2025:1027-1039. doi:10.1109/WACV61041.2025.00109'
apa: Voth, D., Dane, L., Grebe, J., Peitz, S., & Terhörst, P. (2025). Effective
Backdoor Learning on Open-Set Face Recognition Systems. 2025 IEEE/CVF Winter
Conference on Applications of Computer Vision (WACV), 1027–1039. https://doi.org/10.1109/WACV61041.2025.00109
bibtex: '@inproceedings{Voth_Dane_Grebe_Peitz_Terhörst_2025, title={Effective Backdoor
Learning on Open-Set Face Recognition Systems}, DOI={10.1109/WACV61041.2025.00109},
booktitle={2025 IEEE/CVF Winter Conference on Applications of Computer Vision
(WACV)}, author={Voth, Diana and Dane, Leonidas and Grebe, Jonas and Peitz, Sebastian
and Terhörst, Philipp}, year={2025}, pages={1027–1039} }'
chicago: Voth, Diana, Leonidas Dane, Jonas Grebe, Sebastian Peitz, and Philipp Terhörst.
“Effective Backdoor Learning on Open-Set Face Recognition Systems.” In 2025
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 1027–39,
2025. https://doi.org/10.1109/WACV61041.2025.00109.
ieee: 'D. Voth, L. Dane, J. Grebe, S. Peitz, and P. Terhörst, “Effective Backdoor
Learning on Open-Set Face Recognition Systems,” in 2025 IEEE/CVF Winter Conference
on Applications of Computer Vision (WACV), 2025, pp. 1027–1039, doi: 10.1109/WACV61041.2025.00109.'
mla: Voth, Diana, et al. “Effective Backdoor Learning on Open-Set Face Recognition
Systems.” 2025 IEEE/CVF Winter Conference on Applications of Computer Vision
(WACV), 2025, pp. 1027–39, doi:10.1109/WACV61041.2025.00109.
short: 'D. Voth, L. Dane, J. Grebe, S. Peitz, P. Terhörst, in: 2025 IEEE/CVF Winter
Conference on Applications of Computer Vision (WACV), 2025, pp. 1027–1039.'
date_created: 2026-10-01T12:04:52Z
date_updated: 2026-10-01T12:05:02Z
department:
- _id: '655'
doi: 10.1109/WACV61041.2025.00109
keyword:
- own
- own-conference
language:
- iso: eng
page: 1027-1039
publication: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
status: public
title: Effective Backdoor Learning on Open-Set Face Recognition Systems
type: conference
user_id: '47427'
year: '2025'
...
---
_id: '67312'
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. Control of Rayleigh-Bénard Convection:
Effectiveness of Reinforcement Learning in the Turbulent Regime. arXiv:250412000.
Published online 2025.'
apa: 'Markmann, T., Straat, M., Peitz, S., & Hammer, B. (2025). Control of Rayleigh-Bénard
Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime. In
arXiv:2504.12000.'
bibtex: '@article{Markmann_Straat_Peitz_Hammer_2025, title={Control of Rayleigh-Bénard
Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime},
journal={arXiv:2504.12000}, author={Markmann, Thorben and Straat, Michiel and
Peitz, Sebastian and Hammer, Barbara}, year={2025} }'
chicago: 'Markmann, Thorben, Michiel Straat, Sebastian Peitz, and Barbara Hammer.
“Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning
in the Turbulent Regime.” ArXiv:2504.12000, 2025.'
ieee: 'T. Markmann, M. Straat, S. Peitz, and B. Hammer, “Control of Rayleigh-Bénard
Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime,”
arXiv:2504.12000. 2025.'
mla: 'Markmann, Thorben, et al. “Control of Rayleigh-Bénard Convection: Effectiveness
of Reinforcement Learning in the Turbulent Regime.” ArXiv:2504.12000, 2025.'
short: T. Markmann, M. Straat, S. Peitz, B. Hammer, ArXiv:2504.12000 (2025).
date_created: 2026-10-01T12:04:32Z
date_updated: 2026-10-01T12:04:44Z
department:
- _id: '655'
keyword:
- own
- own-preprint
language:
- iso: eng
publication: arXiv:2504.12000
status: public
title: 'Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning
in the Turbulent Regime'
type: preprint
user_id: '47427'
year: '2025'
...
---
_id: '67310'
author:
- first_name: Septimus
full_name: Boshoff, Septimus
last_name: Boshoff
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
- first_name: Stefan
full_name: Klus, Stefan
last_name: Klus
citation:
ama: Boshoff S, Peitz S, Klus S. Bayesian Transfer Operators in Reproducing Kernel
Hilbert Spaces. arXiv:250922482. Published online 2025.
apa: Boshoff, S., Peitz, S., & Klus, S. (2025). Bayesian Transfer Operators
in Reproducing Kernel Hilbert Spaces. In arXiv:2509.22482.
bibtex: '@article{Boshoff_Peitz_Klus_2025, title={Bayesian Transfer Operators in
Reproducing Kernel Hilbert Spaces}, journal={arXiv:2509.22482}, author={Boshoff,
Septimus and Peitz, Sebastian and Klus, Stefan}, year={2025} }'
chicago: Boshoff, Septimus, Sebastian Peitz, and Stefan Klus. “Bayesian Transfer
Operators in Reproducing Kernel Hilbert Spaces.” ArXiv:2509.22482, 2025.
ieee: S. Boshoff, S. Peitz, and S. Klus, “Bayesian Transfer Operators in Reproducing
Kernel Hilbert Spaces,” arXiv:2509.22482. 2025.
mla: Boshoff, Septimus, et al. “Bayesian Transfer Operators in Reproducing Kernel
Hilbert Spaces.” ArXiv:2509.22482, 2025.
short: S. Boshoff, S. Peitz, S. Klus, ArXiv:2509.22482 (2025).
date_created: 2026-10-01T12:03:40Z
date_updated: 2026-10-01T12:03:58Z
department:
- _id: '655'
keyword:
- own
- own-preprint
language:
- iso: eng
publication: arXiv:2509.22482
status: public
title: Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces
type: preprint
user_id: '47427'
year: '2025'
...
---
_id: '62181'
abstract:
- lang: eng
text: This research investigates how Artificial Intelligence (AI) can be systematically
integrated into existing business processes by combining suitable competencies
with graphical AI workflow modelling. While AI offers a high potential for automation
and increased efficiency, its implementation often fails due to a lack of interdisciplinary
competencies that bridge the gap between domain expertise and IT know-how. Low-code
platforms and visual modelling tools are increasingly recognised as enablers,
empowering non-programmers to intuitively create graphical AI- based workflows.
Nevertheless, specific competencies are required to realise the full potential
of AI, the domain specific knowledge and align technical understanding with AI
capabilities. The paper reviews the state of the art in AI-driven business process
automation and competencies for visual low-code approaches. It then presents a
practical solution to identify and systematise essential competence areas. Based
on this, a practical competence model is developed to support the design of user-friendly,
AI-enabled workflows. This is tested in a practical application context — emergency
management — where it supports critical decision-making processes and is validated
through expert feedback. The study concludes by offering actionable recommendations
to help organisations foster the necessary competencies and methods for competently
integrating AI into their digital processes.
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Deniz
full_name: Özcan, Deniz
id: '58595'
last_name: Özcan
citation:
ama: 'Gräßler I, Özcan D. Graphical AI workflow modelling: Identifying relevant
competencies in AI-based automation of business processes. In: AHFE International.
Vol 198. AHFE International; 2025. doi:10.54941/ahfe1006785'
apa: 'Gräßler, I., & Özcan, D. (2025). Graphical AI workflow modelling: Identifying
relevant competencies in AI-based automation of business processes. AHFE International,
198. https://doi.org/10.54941/ahfe1006785'
bibtex: '@inproceedings{Gräßler_Özcan_2025, title={Graphical AI workflow modelling:
Identifying relevant competencies in AI-based automation of business processes},
volume={198}, DOI={10.54941/ahfe1006785},
booktitle={AHFE International}, publisher={AHFE International}, author={Gräßler,
Iris and Özcan, Deniz}, year={2025} }'
chicago: 'Gräßler, Iris, and Deniz Özcan. “Graphical AI Workflow Modelling: Identifying
Relevant Competencies in AI-Based Automation of Business Processes.” In AHFE
International, Vol. 198. AHFE International, 2025. https://doi.org/10.54941/ahfe1006785.'
ieee: 'I. Gräßler and D. Özcan, “Graphical AI workflow modelling: Identifying relevant
competencies in AI-based automation of business processes,” in AHFE International,
Split, 2025, vol. 198, doi: 10.54941/ahfe1006785.'
mla: 'Gräßler, Iris, and Deniz Özcan. “Graphical AI Workflow Modelling: Identifying
Relevant Competencies in AI-Based Automation of Business Processes.” AHFE International,
vol. 198, AHFE International, 2025, doi:10.54941/ahfe1006785.'
short: 'I. Gräßler, D. Özcan, in: AHFE International, AHFE International, 2025.'
conference:
end_date: 2025-09-24
location: Split
name: '7th International Conference on Human Systems Engineering and Design: Future
Trends and Applications (IHSED 2025)'
start_date: 2025-09-22
date_created: 2025-11-13T16:37:59Z
date_updated: 2026-10-01T12:25:18Z
department:
- _id: '43'
- _id: '9'
- _id: '26'
- _id: '152'
doi: 10.54941/ahfe1006785
intvolume: ' 198'
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
publication: AHFE International
publication_identifier:
issn:
- 2771-0718
publication_status: published
publisher: AHFE International
quality_controlled: '1'
status: public
title: 'Graphical AI workflow modelling: Identifying relevant competencies in AI-based
automation of business processes'
type: conference
user_id: '58595'
volume: 198
year: '2025'
...
---
_id: '62182'
abstract:
- lang: eng
text: 'Die vorliegende Zukunftsstudie „Automation 2035“ gibt einen Ausblick auf
die Entwicklung der Automatisierungstechnik in den nächsten 10 Jahren. Neben der
Beschreibung von Trends wie Kreislaufwirtschaft, Automatisierung der Märkte, Biologisierung,
autonome Systeme und Robotik sowie IT-Sicherheit wird die zu erwartende Veränderung
in der Bildung beschrieben. Dazu verwenden wir Methoden der Zukunftsforschung
und arbeiten mit der Szenario-Technik, um Zukunftsperspektiven der Automation
aufzuzeigen. Personas werden eingesetzt, um die zukünftigen Entwicklungen plastisch
aus den Augen der Personen im Jahr 2025 und in der Zukunft im Jahr 2035 zu beschreiben.
Schlüsselthemen und Trends: ... ... Inhalt Executive summary 1 1 Einführung 3
2 Zukunftsfelder für die Automatisierungstechnik 2035 4 2.1 Kreislaufwirtschaft
4 2.2 Automatisierung der Märkte 7 2.3 Biologisierung 8 2.4 Autonome Systeme und
Robotik 10 2.5 Security 12 2.6 Veränderung der Ausbildung 13 3 Szenario der Automation
2035 16 4 Personas 18 4.1 Unternehmer 18 4.2 Ingenieurin 19 4.3 Schüler 20 5 Thesen
und Ausblick 22 Methodik 24 Autorenteam 25 Schrifttum 26... '
alternative_title:
- VDI-Studie
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Deniz
full_name: Özcan, Deniz
id: '58595'
last_name: Özcan
- first_name: Alena Marie
full_name: Tusek, Alena Marie
id: '59370'
last_name: Tusek
- first_name: Attila
full_name: Bilgic, Attila
last_name: Bilgic
- first_name: Christian
full_name: Lange, Christian
last_name: Lange
- first_name: Christian
full_name: Stich, Christian
last_name: Stich
- first_name: Christine
full_name: Maul, Christine
last_name: Maul
- first_name: Michael
full_name: Heizmann, Michael
last_name: Heizmann
- first_name: Michael
full_name: Weyrich, Michael
last_name: Weyrich
- first_name: Sascha
full_name: Dessel,, Sascha
last_name: Dessel,
- first_name: Torben
full_name: Miny, Torben
last_name: Miny
- first_name: Ulrich
full_name: Jumar, Ulrich
last_name: Jumar
citation:
ama: Gräßler I, Özcan D, Tusek AM, et al. Automation 2035. VDI Verlag; 2025.
doi:10.51202/9783911670180
apa: Gräßler, I., Özcan, D., Tusek, A. M., Bilgic, A., Lange, C., Stich, C., Maul,
C., Heizmann, M., Weyrich, M., Dessel, S., Miny, T., & Jumar, U. (2025). Automation
2035. VDI Verlag. https://doi.org/10.51202/9783911670180
bibtex: '@book{Gräßler_Özcan_Tusek_Bilgic_Lange_Stich_Maul_Heizmann_Weyrich_Dessel,_et
al._2025, title={Automation 2035}, DOI={10.51202/9783911670180},
publisher={VDI Verlag}, author={Gräßler, Iris and Özcan, Deniz and Tusek, Alena
Marie and Bilgic, Attila and Lange, Christian and Stich, Christian and Maul, Christine
and Heizmann, Michael and Weyrich, Michael and Dessel, Sascha and et al.}, year={2025}
}'
chicago: Gräßler, Iris, Deniz Özcan, Alena Marie Tusek, Attila Bilgic, Christian
Lange, Christian Stich, Christine Maul, et al. Automation 2035. VDI Verlag,
2025. https://doi.org/10.51202/9783911670180.
ieee: I. Gräßler et al., Automation 2035. VDI Verlag, 2025.
mla: Gräßler, Iris, et al. Automation 2035. VDI Verlag, 2025, doi:10.51202/9783911670180.
short: I. Gräßler, D. Özcan, A.M. Tusek, A. Bilgic, C. Lange, C. Stich, C. Maul,
M. Heizmann, M. Weyrich, S. Dessel, T. Miny, U. Jumar, Automation 2035, VDI Verlag,
2025.
date_created: 2025-11-13T16:43:05Z
date_updated: 2026-10-01T12:25:27Z
department:
- _id: '43'
- _id: '9'
- _id: '26'
- _id: '152'
doi: 10.51202/9783911670180
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
publication_identifier:
isbn:
- '9783911670180'
publication_status: published
publisher: VDI Verlag
quality_controlled: '1'
status: public
title: Automation 2035
type: book
user_id: '58595'
year: '2025'
...
---
_id: '61015'
author:
- first_name: Dominik
full_name: Baier, Dominik
last_name: Baier
- first_name: Laureen
full_name: Kieke, Laureen
last_name: Kieke
- first_name: Sven
full_name: Voth, Sven
last_name: Voth
- first_name: Marvin
full_name: Kloß, Marvin
last_name: Kloß
- first_name: Marten
full_name: Huck, Marten
last_name: Huck
- first_name: Hans-Georg
full_name: Steinrück, Hans-Georg
id: '84268'
last_name: Steinrück
orcid: 0000-0001-6373-0877
- first_name: Michael
full_name: Tiemann, Michael
id: '23547'
last_name: Tiemann
orcid: 0000-0003-1711-2722
citation:
ama: 'Baier D, Kieke L, Voth S, et al. Selective H2 Gas Sensing Using
ZIF-71/In-SnO2 Bilayer Sensors: A Size-Selective Molecular Sieving
Approach. ACS Sensors. 2025;10(8):5664-5673. doi:10.1021/acssensors.5c00770'
apa: 'Baier, D., Kieke, L., Voth, S., Kloß, M., Huck, M., Steinrück, H.-G., &
Tiemann, M. (2025). Selective H2 Gas Sensing Using ZIF-71/In-SnO2
Bilayer Sensors: A Size-Selective Molecular Sieving Approach. ACS Sensors,
10(8), 5664–5673. https://doi.org/10.1021/acssensors.5c00770'
bibtex: '@article{Baier_Kieke_Voth_Kloß_Huck_Steinrück_Tiemann_2025, title={Selective
H2 Gas Sensing Using ZIF-71/In-SnO2 Bilayer Sensors: A Size-Selective
Molecular Sieving Approach}, volume={10}, DOI={10.1021/acssensors.5c00770},
number={8}, journal={ACS Sensors}, publisher={American Chemical Society (ACS)},
author={Baier, Dominik and Kieke, Laureen and Voth, Sven and Kloß, Marvin and
Huck, Marten and Steinrück, Hans-Georg and Tiemann, Michael}, year={2025}, pages={5664–5673}
}'
chicago: 'Baier, Dominik, Laureen Kieke, Sven Voth, Marvin Kloß, Marten Huck, Hans-Georg
Steinrück, and Michael Tiemann. “Selective H2 Gas Sensing Using ZIF-71/In-SnO2
Bilayer Sensors: A Size-Selective Molecular Sieving Approach.” ACS Sensors
10, no. 8 (2025): 5664–73. https://doi.org/10.1021/acssensors.5c00770.'
ieee: 'D. Baier et al., “Selective H2 Gas Sensing Using ZIF-71/In-SnO2
Bilayer Sensors: A Size-Selective Molecular Sieving Approach,” ACS Sensors,
vol. 10, no. 8, pp. 5664–5673, 2025, doi: 10.1021/acssensors.5c00770.'
mla: 'Baier, Dominik, et al. “Selective H2 Gas Sensing Using ZIF-71/In-SnO2
Bilayer Sensors: A Size-Selective Molecular Sieving Approach.” ACS Sensors,
vol. 10, no. 8, American Chemical Society (ACS), 2025, pp. 5664–73, doi:10.1021/acssensors.5c00770.'
short: D. Baier, L. Kieke, S. Voth, M. Kloß, M. Huck, H.-G. Steinrück, M. Tiemann,
ACS Sensors 10 (2025) 5664–5673.
date_created: 2025-08-26T06:58:26Z
date_updated: 2026-10-01T14:20:27Z
department:
- _id: '35'
- _id: '2'
- _id: '307'
doi: 10.1021/acssensors.5c00770
intvolume: ' 10'
issue: '8'
language:
- iso: eng
page: 5664-5673
publication: ACS Sensors
publication_identifier:
issn:
- 2379-3694
- 2379-3694
publication_status: published
publisher: American Chemical Society (ACS)
quality_controlled: '1'
status: public
title: 'Selective H2 Gas Sensing Using ZIF-71/In-SnO2 Bilayer
Sensors: A Size-Selective Molecular Sieving Approach'
type: journal_article
user_id: '23547'
volume: 10
year: '2025'
...
---
_id: '61129'
author:
- first_name: Anna Lena
full_name: Rotthaler, Anna Lena
id: '97843'
last_name: Rotthaler
- first_name: Harshini
full_name: Sri Ramulu, Harshini
id: '99000'
last_name: Sri Ramulu
orcid: 0000-0002-0000-5843
- first_name: Lucy
full_name: Simko, Lucy
last_name: Simko
- first_name: Sascha
full_name: Fahl, Sascha
last_name: Fahl
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
citation:
ama: 'Rotthaler AL, Sri Ramulu H, Simko L, Fahl S, Acar Y. “It’s Time. Time for
Digital Security.”: An End User Study on Actionable Security and Privacy Advice.
In: Blanton M, Enck W, Nita-Rotaru C, eds. IEEE Symposium on Security and Privacy,
SP 2025, San Francisco, CA, USA, May 12-15, 2025. IEEE; 2025:2228–2245. doi:10.1109/SP61157.2025.00100'
apa: 'Rotthaler, A. L., Sri Ramulu, H., Simko, L., Fahl, S., & Acar, Y. (2025).
“It’s Time. Time for Digital Security.”: An End User Study on Actionable Security
and Privacy Advice. In M. Blanton, W. Enck, & C. Nita-Rotaru (Eds.), IEEE
Symposium on Security and Privacy, SP 2025, San Francisco, CA, USA, May 12-15,
2025 (pp. 2228–2245). IEEE. https://doi.org/10.1109/SP61157.2025.00100'
bibtex: '@inproceedings{Rotthaler_Sri Ramulu_Simko_Fahl_Acar_2025, title={“It’s
Time. Time for Digital Security.”: An End User Study on Actionable Security and
Privacy Advice}, DOI={10.1109/SP61157.2025.00100},
booktitle={IEEE Symposium on Security and Privacy, SP 2025, San Francisco, CA,
USA, May 12-15, 2025}, publisher={IEEE}, author={Rotthaler, Anna Lena and Sri
Ramulu, Harshini and Simko, Lucy and Fahl, Sascha and Acar, Yasemin}, editor={Blanton,
Marina and Enck, William and Nita-Rotaru, Cristina}, year={2025}, pages={2228–2245}
}'
chicago: 'Rotthaler, Anna Lena, Harshini Sri Ramulu, Lucy Simko, Sascha Fahl, and
Yasemin Acar. “‘It’s Time. Time for Digital Security.’: An End User Study on Actionable
Security and Privacy Advice.” In IEEE Symposium on Security and Privacy, SP
2025, San Francisco, CA, USA, May 12-15, 2025, edited by Marina Blanton, William
Enck, and Cristina Nita-Rotaru, 2228–2245. IEEE, 2025. https://doi.org/10.1109/SP61157.2025.00100.'
ieee: 'A. L. Rotthaler, H. Sri Ramulu, L. Simko, S. Fahl, and Y. Acar, “‘It’s Time.
Time for Digital Security.’: An End User Study on Actionable Security and Privacy
Advice,” in IEEE Symposium on Security and Privacy, SP 2025, San Francisco,
CA, USA, May 12-15, 2025, 2025, pp. 2228–2245, doi: 10.1109/SP61157.2025.00100.'
mla: 'Rotthaler, Anna Lena, et al. “‘It’s Time. Time for Digital Security.’: An
End User Study on Actionable Security and Privacy Advice.” IEEE Symposium on
Security and Privacy, SP 2025, San Francisco, CA, USA, May 12-15, 2025, edited
by Marina Blanton et al., IEEE, 2025, pp. 2228–2245, doi:10.1109/SP61157.2025.00100.'
short: 'A.L. Rotthaler, H. Sri Ramulu, L. Simko, S. Fahl, Y. Acar, in: M. Blanton,
W. Enck, C. Nita-Rotaru (Eds.), IEEE Symposium on Security and Privacy, SP 2025,
San Francisco, CA, USA, May 12-15, 2025, IEEE, 2025, pp. 2228–2245.'
date_created: 2025-09-04T11:13:58Z
date_updated: 2026-10-01T16:06:17Z
doi: 10.1109/SP61157.2025.00100
editor:
- first_name: Marina
full_name: Blanton, Marina
last_name: Blanton
- first_name: William
full_name: Enck, William
last_name: Enck
- first_name: Cristina
full_name: Nita-Rotaru, Cristina
last_name: Nita-Rotaru
language:
- iso: eng
page: 2228–2245
publication: IEEE Symposium on Security and Privacy, SP 2025, San Francisco, CA, USA,
May 12-15, 2025
publisher: IEEE
status: public
title: '"It’s Time. Time for Digital Security.": An End User Study on Actionable Security
and Privacy Advice'
type: conference
user_id: '97843'
year: '2025'
...
---
_id: '67335'
author:
- first_name: Anna Lena
full_name: Rotthaler, Anna Lena
id: '97843'
last_name: Rotthaler
- first_name: Simon
full_name: Oberthür, Simon
id: '383'
last_name: Oberthür
- first_name: Juraj
full_name: Somorovsky, Juraj
id: '83504'
last_name: Somorovsky
orcid: 0000-0002-3593-7720
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
- first_name: Simon Thanh-Nam
full_name: Trang, Simon Thanh-Nam
id: '98948'
last_name: Trang
orcid: 0000-0002-4784-4038
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: Michel
full_name: Cukier, Michel
last_name: Cukier
- first_name: William
full_name: Enck, William
last_name: Enck
- first_name: Alexandros
full_name: Kapravelos, Alexandros
last_name: Kapravelos
- first_name: Christian
full_name: Kästner, Christian
last_name: Kästner
citation:
ama: 'Rotthaler AL, Oberthür S, Somorovsky J, et al. S3C2 SICP Summit 2025-06: Vulnerability
Response Summit. arXiv preprint arXiv:251202600. Published online 2025.'
apa: 'Rotthaler, A. L., Oberthür, S., Somorovsky, J., Thommes, K., Trang, S. T.-N.,
Acar, Y., Cukier, M., Enck, W., Kapravelos, A., & Kästner, C. (2025). S3C2
SICP Summit 2025-06: Vulnerability Response Summit. ArXiv Preprint ArXiv:2512.02600.'
bibtex: '@article{Rotthaler_Oberthür_Somorovsky_Thommes_Trang_Acar_Cukier_Enck_Kapravelos_Kästner_2025,
title={S3C2 SICP Summit 2025-06: Vulnerability Response Summit}, journal={arXiv
preprint arXiv:2512.02600}, author={Rotthaler, Anna Lena and Oberthür, Simon and
Somorovsky, Juraj and Thommes, Kirsten and Trang, Simon Thanh-Nam and Acar, Yasemin
and Cukier, Michel and Enck, William and Kapravelos, Alexandros and Kästner, Christian},
year={2025} }'
chicago: 'Rotthaler, Anna Lena, Simon Oberthür, Juraj Somorovsky, Kirsten Thommes,
Simon Thanh-Nam Trang, Yasemin Acar, Michel Cukier, William Enck, Alexandros Kapravelos,
and Christian Kästner. “S3C2 SICP Summit 2025-06: Vulnerability Response Summit.”
ArXiv Preprint ArXiv:2512.02600, 2025.'
ieee: 'A. L. Rotthaler et al., “S3C2 SICP Summit 2025-06: Vulnerability Response
Summit,” arXiv preprint arXiv:2512.02600, 2025.'
mla: 'Rotthaler, Anna Lena, et al. “S3C2 SICP Summit 2025-06: Vulnerability Response
Summit.” ArXiv Preprint ArXiv:2512.02600, 2025.'
short: A.L. Rotthaler, S. Oberthür, J. Somorovsky, K. Thommes, S.T.-N. Trang, Y.
Acar, M. Cukier, W. Enck, A. Kapravelos, C. Kästner, ArXiv Preprint ArXiv:2512.02600
(2025).
date_created: 2026-10-01T16:10:38Z
date_updated: 2026-10-01T16:11:00Z
language:
- iso: eng
publication: arXiv preprint arXiv:2512.02600
status: public
title: 'S3C2 SICP Summit 2025-06: Vulnerability Response Summit'
type: journal_article
user_id: '97843'
year: '2025'
...
---
_id: '57829'
abstract:
- lang: eng
text: 'Artificial intelligence (AI) is driving transformative changes across numerous
fields, revolutionizing conventional processes and creating new opportunities
for innovation. The development of mechatronic systems is undergoing a similar
transformation. Over the past decade, modeling, simulation, and optimization techniques
have become integral to the design process, paving the way for the adoption of
AI-based methods. In this paper, we examine the potential for integrating AI into
the engineering design process, using the V-model from the VDI guideline 2206,
considered the state-of-the-art in product design, as a foundation. We identify
and classify AI methods based on their suitability for specific stages within
the engineering product design workflow. Furthermore, we present a series of application
examples where AI-assisted design has been successfully implemented by the authors.
These examples, drawn from research projects within the DFG Priority Program \emph{SPP~2353:
Daring More Intelligence - Design Assistants in Mechanics and Dynamics}, showcase
a diverse range of applications across mechanics and mechatronics, including areas
such as acoustics and robotics.'
author:
- first_name: Kristin M.
full_name: de Payrebrune, Kristin M.
last_name: de Payrebrune
- first_name: Kathrin
full_name: Flaßkamp, Kathrin
last_name: Flaßkamp
- first_name: Tom
full_name: Ströhla, Tom
last_name: Ströhla
- first_name: Thomas
full_name: Sattel, Thomas
last_name: Sattel
- first_name: Dieter
full_name: Bestle, Dieter
last_name: Bestle
- first_name: Benedict
full_name: Röder, Benedict
last_name: Röder
- first_name: Peter
full_name: Eberhard, Peter
last_name: Eberhard
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
- first_name: Marcus
full_name: Stoffel, Marcus
last_name: Stoffel
- first_name: Gulakala
full_name: Rutwik, Gulakala
last_name: Rutwik
- first_name: Borse
full_name: Aditya, Borse
last_name: Aditya
- first_name: Meike Claudia
full_name: Wohlleben, Meike Claudia
id: '43991'
last_name: Wohlleben
orcid: 0009-0009-9767-7168
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
- first_name: Maximilian
full_name: Raff, Maximilian
last_name: Raff
- first_name: C. David
full_name: Remy, C. David
last_name: Remy
- first_name: Manish
full_name: Yadav, Manish
last_name: Yadav
- first_name: Merten
full_name: Stender, Merten
last_name: Stender
- first_name: Jan
full_name: van Delden, Jan
last_name: van Delden
- first_name: Timo
full_name: Lüddecke, Timo
last_name: Lüddecke
- first_name: Sabine C.
full_name: Langer, Sabine C.
last_name: Langer
- first_name: Julius
full_name: Schultz, Julius
last_name: Schultz
- first_name: Christopher
full_name: Blech, Christopher
last_name: Blech
citation:
ama: de Payrebrune KM, Flaßkamp K, Ströhla T, et al. The impact of AI on engineering
design procedures for dynamical systems. Technische Mechanik - European Journal
of Engineering Mechanics. 2025;45(1):1-23. doi:10.24352/UB.OVGU-2025-037
apa: de Payrebrune, K. M., Flaßkamp, K., Ströhla, T., Sattel, T., Bestle, D., Röder,
B., Eberhard, P., Peitz, S., Stoffel, M., Rutwik, G., Aditya, B., Wohlleben, M.
C., Sextro, W., Raff, M., Remy, C. D., Yadav, M., Stender, M., van Delden, J.,
Lüddecke, T., … Blech, C. (2025). The impact of AI on engineering design procedures
for dynamical systems. Technische Mechanik - European Journal of Engineering
Mechanics, 45(1), 1–23. https://doi.org/10.24352/UB.OVGU-2025-037
bibtex: '@article{de Payrebrune_Flaßkamp_Ströhla_Sattel_Bestle_Röder_Eberhard_Peitz_Stoffel_Rutwik_et
al._2025, title={The impact of AI on engineering design procedures for dynamical
systems}, volume={45}, DOI={10.24352/UB.OVGU-2025-037},
number={1}, journal={Technische Mechanik - European Journal of Engineering Mechanics},
author={de Payrebrune, Kristin M. and Flaßkamp, Kathrin and Ströhla, Tom and Sattel,
Thomas and Bestle, Dieter and Röder, Benedict and Eberhard, Peter and Peitz, Sebastian
and Stoffel, Marcus and Rutwik, Gulakala and et al.}, year={2025}, pages={1–23}
}'
chicago: 'Payrebrune, Kristin M. de, Kathrin Flaßkamp, Tom Ströhla, Thomas Sattel,
Dieter Bestle, Benedict Röder, Peter Eberhard, et al. “The Impact of AI on Engineering
Design Procedures for Dynamical Systems.” Technische Mechanik - European Journal
of Engineering Mechanics 45, no. 1 (2025): 1–23. https://doi.org/10.24352/UB.OVGU-2025-037.'
ieee: 'K. M. de Payrebrune et al., “The impact of AI on engineering design
procedures for dynamical systems,” Technische Mechanik - European Journal of
Engineering Mechanics, vol. 45, no. 1, pp. 1–23, 2025, doi: 10.24352/UB.OVGU-2025-037.'
mla: de Payrebrune, Kristin M., et al. “The Impact of AI on Engineering Design Procedures
for Dynamical Systems.” Technische Mechanik - European Journal of Engineering
Mechanics, vol. 45, no. 1, 2025, pp. 1–23, doi:10.24352/UB.OVGU-2025-037.
short: K.M. de Payrebrune, K. Flaßkamp, T. Ströhla, T. Sattel, D. Bestle, B. Röder,
P. Eberhard, S. Peitz, M. Stoffel, G. Rutwik, B. Aditya, M.C. Wohlleben, W. Sextro,
M. Raff, C.D. Remy, M. Yadav, M. Stender, J. van Delden, T. Lüddecke, S.C. Langer,
J. Schultz, C. Blech, Technische Mechanik - European Journal of Engineering Mechanics
45 (2025) 1–23.
date_created: 2024-12-18T09:07:41Z
date_updated: 2026-10-07T11:25:00Z
doi: 10.24352/UB.OVGU-2025-037
intvolume: ' 45'
issue: '1'
language:
- iso: eng
page: 1-23
publication: Technische Mechanik - European Journal of Engineering Mechanics
quality_controlled: '1'
status: public
title: The impact of AI on engineering design procedures for dynamical systems
type: journal_article
user_id: '43991'
volume: 45
year: '2025'
...
---
_id: '59335'
abstract:
- lang: eng
text: Technological advancements and evolving value orientations reshape future
value creation and pose new requirements for service innovation. While a variety
of disciplines are developing new approaches to drive service innovation, this
is primarily done in isolation and generates only fragmented solutions. Sociological
theory has proposed “boundary objects” as an effective umbrella for communication
and cooperation among communities. Therefore, we introduce continuous value shaping
(CVS) as a boundary object describing service innovation approaches along five
principles. We reflect on this concept through the different disciplinary lenses
of researchers in service marketing, information systems, service engineering,
sociology of work, and innovation management. These perspectives highlight how
the CVS principles already connect to discourses within the individual disciplines.
However, the CVS concept will not only provide an umbrella to embrace existing
activities in different academic disciplines. It also assists to identify research
themes that will benefit from uniting the power of these disciplines, and it can
serve as an integrating framework to conceptualize complex service innovation
approaches. Thus, the CVS concept should guide both researchers and practitioners
to develop and implement novel innovation and transformation efforts—in and across
organizations.
article_number: '27'
article_type: original
author:
- first_name: Tilo
full_name: Böhmann, Tilo
last_name: Böhmann
- first_name: Angela
full_name: Roth, Angela
last_name: Roth
- first_name: Gerhard
full_name: Satzger, Gerhard
last_name: Satzger
- first_name: Carina
full_name: Benz, Carina
last_name: Benz
- first_name: Daniel
full_name: Beverungen, Daniel
last_name: Beverungen
- first_name: Andreas
full_name: Boes, Andreas
last_name: Boes
- first_name: Christoph
full_name: Breidbach, Christoph
last_name: Breidbach
- first_name: Martin
full_name: Gersch, Martin
last_name: Gersch
- first_name: Gerhard
full_name: Gudergan, Gerhard
last_name: Gudergan
- first_name: Jens
full_name: Hogreve, Jens
last_name: Hogreve
- first_name: Christian
full_name: Kurtz, Christian
last_name: Kurtz
- first_name: Barbara
full_name: Langes, Barbara
last_name: Langes
- first_name: Jan Marco
full_name: Leimeister, Jan Marco
last_name: Leimeister
- first_name: Tom
full_name: Lewandowski, Tom
last_name: Lewandowski
- first_name: Thomas
full_name: Meiren, Thomas
last_name: Meiren
- first_name: Rainer
full_name: Nägele, Rainer
last_name: Nägele
- first_name: Stefanie
full_name: Paluch, Stefanie
last_name: Paluch
- first_name: Christoph
full_name: Peters, Christoph
last_name: Peters
- first_name: Jens
full_name: Poeppelbuss, Jens
last_name: Poeppelbuss
- first_name: Susanne
full_name: Robra-Bissantz, Susanne
last_name: Robra-Bissantz
- first_name: Carsten
full_name: Schultz, Carsten
last_name: Schultz
- first_name: Jan H.
full_name: Schumann, Jan H.
last_name: Schumann
- first_name: Jochen
full_name: Wirtz, Jochen
last_name: Wirtz
- first_name: Nancy V.
full_name: Wünderlich, Nancy V.
last_name: Wünderlich
citation:
ama: 'Böhmann T, Roth A, Satzger G, et al. Continuous value shaping: A boundary
concept for innovating service innovation approaches. Electronic Markets.
2025;35(1). doi:10.1007/s12525-025-00771-1'
apa: 'Böhmann, T., Roth, A., Satzger, G., Benz, C., Beverungen, D., Boes, A., Breidbach,
C., Gersch, M., Gudergan, G., Hogreve, J., Kurtz, C., Langes, B., Leimeister,
J. M., Lewandowski, T., Meiren, T., Nägele, R., Paluch, S., Peters, C., Poeppelbuss,
J., … Wünderlich, N. V. (2025). Continuous value shaping: A boundary concept for
innovating service innovation approaches. Electronic Markets, 35(1),
Article 27. https://doi.org/10.1007/s12525-025-00771-1'
bibtex: '@article{Böhmann_Roth_Satzger_Benz_Beverungen_Boes_Breidbach_Gersch_Gudergan_Hogreve_et
al._2025, title={Continuous value shaping: A boundary concept for innovating service
innovation approaches}, volume={35}, DOI={10.1007/s12525-025-00771-1},
number={127}, journal={Electronic Markets}, publisher={Springer Science and Business
Media LLC}, author={Böhmann, Tilo and Roth, Angela and Satzger, Gerhard and Benz,
Carina and Beverungen, Daniel and Boes, Andreas and Breidbach, Christoph and Gersch,
Martin and Gudergan, Gerhard and Hogreve, Jens and et al.}, year={2025} }'
chicago: 'Böhmann, Tilo, Angela Roth, Gerhard Satzger, Carina Benz, Daniel Beverungen,
Andreas Boes, Christoph Breidbach, et al. “Continuous Value Shaping: A Boundary
Concept for Innovating Service Innovation Approaches.” Electronic Markets
35, no. 1 (2025). https://doi.org/10.1007/s12525-025-00771-1.'
ieee: 'T. Böhmann et al., “Continuous value shaping: A boundary concept for
innovating service innovation approaches,” Electronic Markets, vol. 35,
no. 1, Art. no. 27, 2025, doi: 10.1007/s12525-025-00771-1.'
mla: 'Böhmann, Tilo, et al. “Continuous Value Shaping: A Boundary Concept for Innovating
Service Innovation Approaches.” Electronic Markets, vol. 35, no. 1, 27,
Springer Science and Business Media LLC, 2025, doi:10.1007/s12525-025-00771-1.'
short: T. Böhmann, A. Roth, G. Satzger, C. Benz, D. Beverungen, A. Boes, C. Breidbach,
M. Gersch, G. Gudergan, J. Hogreve, C. Kurtz, B. Langes, J.M. Leimeister, T. Lewandowski,
T. Meiren, R. Nägele, S. Paluch, C. Peters, J. Poeppelbuss, S. Robra-Bissantz,
C. Schultz, J.H. Schumann, J. Wirtz, N.V. Wünderlich, Electronic Markets 35 (2025).
date_created: 2025-04-04T06:10:26Z
date_updated: 2026-10-08T10:56:12Z
ddc:
- '380'
department:
- _id: '195'
doi: 10.1007/s12525-025-00771-1
external_id:
unknown:
- https://link.springer.com/article/10.1007/s12525-025-00771-1
file:
- access_level: closed
content_type: application/pdf
creator: dabe
date_created: 2025-04-04T06:19:38Z
date_updated: 2025-04-04T06:19:38Z
file_id: '59336'
file_name: Continuous Value Shaping - EM.pdf
file_size: 920032
relation: main_file
success: 1
file_date_updated: 2025-04-04T06:19:38Z
has_accepted_license: '1'
intvolume: ' 35'
issue: '1'
jel:
- M10
keyword:
- Continuous value shaping (CVS)
- Service research
- Service innovation
- Digitalization
- Sustainability
- Interdisciplinary research
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://link.springer.com/article/10.1007/s12525-025-00771-1
oa: '1'
project:
- _id: '1250'
name: 'SHAPE : Gestaltung von Dienstleistungsentwicklungsprozessen und lnnovationspartnerschaften
mit Unternehmen'
publication: Electronic Markets
publication_identifier:
issn:
- 1019-6781
- 1422-8890
publication_status: published
publisher: Springer Science and Business Media LLC
quality_controlled: '1'
status: public
title: 'Continuous value shaping: A boundary concept for innovating service innovation
approaches'
type: journal_article
user_id: '59677'
volume: 35
year: '2025'
...
---
_id: '66150'
abstract:
- lang: eng
text: "\r\n Releasing jobs and performing scheduling decisions
in real-time operating systems (RTOSes) is often realized within tick interrupts.
In each tick interrupt, a set of tasks that are waiting to release new jobs, namely,
the waiting set, is inspected to determine the jobs that should be released at
this tick. Such a waiting set is sorted whenever a job has finished, by which
the release process can be efficiently achieved. However, the overhead of sorting
can vary vastly depending on the task set, which has to be taken into account
in the worst-case timing analysis. Moreover, the tick interrupt in common practices
is backed by a single hardware timer that is configured to trigger interrupts,
either with a fixed period or reconfigured to the next release time (so-called
one-shot timer). Since not necessarily at every interrupt a job will be released,
several tick interrupts might be redundant. For the one-shot timers, the reconfiguration
during runtime also incurs overheads at a variable interval. To reduce such variability
and amount of overhead, in this work, we propose\r\n LazyTick\r\n
\ which partitions the task set and distributes the subsets over multiple
timers. Specifically, we propose two job release procedures with constant operations
overhead—one for harmonic task sets and one for non-harmonic task sets. We implemented
the support for multiple hardware timers in FreeRTOS and conducted intensive experimental
evaluations. The evaluation shows that\r\n LazyTick\r\n
\ can reduce the variability in overhead by up to ≈ 5 × in peak and
≈ 3× on average in comparison to the default implementation. Additionally, the
combined overhead of the job release process is reduced by up to ≈ 6.1 × in peak
and ≈ 3.6× on average.\r\n "
author:
- first_name: Kay
full_name: Heider, Kay
last_name: Heider
- first_name: Christian
full_name: Hakert, Christian
last_name: Hakert
- first_name: Kuan-Hsun
full_name: Chen, Kuan-Hsun
id: '128464'
last_name: Chen
orcid: 0000-0002-7110-921X
- first_name: Jian-Jia
full_name: Chen, Jian-Jia
last_name: Chen
citation:
ama: 'Heider K, Hakert C, Chen K-H, Chen J-J. LazyTick: Lazy and Efficient Management
of Job Release in Real-Time Operating Systems. ACM Transactions on Embedded
Computing Systems. 2025;24(5s):1-25. doi:10.1145/3762651'
apa: 'Heider, K., Hakert, C., Chen, K.-H., & Chen, J.-J. (2025). LazyTick: Lazy
and Efficient Management of Job Release in Real-Time Operating Systems. ACM
Transactions on Embedded Computing Systems, 24(5s), 1–25. https://doi.org/10.1145/3762651'
bibtex: '@article{Heider_Hakert_Chen_Chen_2025, title={LazyTick: Lazy and Efficient
Management of Job Release in Real-Time Operating Systems}, volume={24}, DOI={10.1145/3762651}, number={5s}, journal={ACM
Transactions on Embedded Computing Systems}, publisher={Association for Computing
Machinery (ACM)}, author={Heider, Kay and Hakert, Christian and Chen, Kuan-Hsun
and Chen, Jian-Jia}, year={2025}, pages={1–25} }'
chicago: 'Heider, Kay, Christian Hakert, Kuan-Hsun Chen, and Jian-Jia Chen. “LazyTick:
Lazy and Efficient Management of Job Release in Real-Time Operating Systems.”
ACM Transactions on Embedded Computing Systems 24, no. 5s (2025): 1–25.
https://doi.org/10.1145/3762651.'
ieee: 'K. Heider, C. Hakert, K.-H. Chen, and J.-J. Chen, “LazyTick: Lazy and Efficient
Management of Job Release in Real-Time Operating Systems,” ACM Transactions
on Embedded Computing Systems, vol. 24, no. 5s, pp. 1–25, 2025, doi: 10.1145/3762651.'
mla: 'Heider, Kay, et al. “LazyTick: Lazy and Efficient Management of Job Release
in Real-Time Operating Systems.” ACM Transactions on Embedded Computing Systems,
vol. 24, no. 5s, Association for Computing Machinery (ACM), 2025, pp. 1–25, doi:10.1145/3762651.'
short: K. Heider, C. Hakert, K.-H. Chen, J.-J. Chen, ACM Transactions on Embedded
Computing Systems 24 (2025) 1–25.
date_created: 2026-07-03T21:07:51Z
date_updated: 2026-10-12T20:18:45Z
doi: 10.1145/3762651
intvolume: ' 24'
issue: 5s
language:
- iso: eng
page: 1-25
publication: ACM Transactions on Embedded Computing Systems
publication_identifier:
issn:
- 1539-9087
- 1558-3465
publication_status: published
publisher: Association for Computing Machinery (ACM)
status: public
title: 'LazyTick: Lazy and Efficient Management of Job Release in Real-Time Operating
Systems'
type: journal_article
user_id: '128464'
volume: 24
year: '2025'
...
---
_id: '66147'
abstract:
- lang: eng
text: "Abstract\r\n Reinforcement Learning
(RL) has emerged as a promising tool for decision-making in various applications,
particularly in uncertain environments. While its adoption in embedded systems—especially
hard real-time systems—faces challenges due to stringent timing constraints, integrating
shielding mechanisms may offer a pathway for RL to optimize its scheduling decisions,
preserving worst-case timing guarantees. This position paper shows a use case
where RL selects compliant execution versions for fault-tolerant real-time systems
while minimizing the system utilization in runtime. Furthermore, we discuss possible
directions for further exploring RL’s role in real-time systems for improved adaptability."
author:
- first_name: Junjie
full_name: Shi, Junjie
last_name: Shi
- first_name: Kuan-Hsun
full_name: Chen, Kuan-Hsun
id: '128464'
last_name: Chen
orcid: 0000-0002-7110-921X
citation:
ama: Shi J, Chen K-H. Shielded reinforcement learning for fault-tolerant scheduling
in real-time systems. Real-Time Systems. 2025;61(2):306-310. doi:10.1007/s11241-025-09441-z
apa: Shi, J., & Chen, K.-H. (2025). Shielded reinforcement learning for fault-tolerant
scheduling in real-time systems. Real-Time Systems, 61(2), 306–310.
https://doi.org/10.1007/s11241-025-09441-z
bibtex: '@article{Shi_Chen_2025, title={Shielded reinforcement learning for fault-tolerant
scheduling in real-time systems}, volume={61}, DOI={10.1007/s11241-025-09441-z},
number={2}, journal={Real-Time Systems}, publisher={Springer Science and Business
Media LLC}, author={Shi, Junjie and Chen, Kuan-Hsun}, year={2025}, pages={306–310}
}'
chicago: 'Shi, Junjie, and Kuan-Hsun Chen. “Shielded Reinforcement Learning for
Fault-Tolerant Scheduling in Real-Time Systems.” Real-Time Systems 61,
no. 2 (2025): 306–10. https://doi.org/10.1007/s11241-025-09441-z.'
ieee: 'J. Shi and K.-H. Chen, “Shielded reinforcement learning for fault-tolerant
scheduling in real-time systems,” Real-Time Systems, vol. 61, no. 2, pp.
306–310, 2025, doi: 10.1007/s11241-025-09441-z.'
mla: Shi, Junjie, and Kuan-Hsun Chen. “Shielded Reinforcement Learning for Fault-Tolerant
Scheduling in Real-Time Systems.” Real-Time Systems, vol. 61, no. 2, Springer
Science and Business Media LLC, 2025, pp. 306–10, doi:10.1007/s11241-025-09441-z.
short: J. Shi, K.-H. Chen, Real-Time Systems 61 (2025) 306–310.
date_created: 2026-07-03T21:07:18Z
date_updated: 2026-10-12T20:21:24Z
doi: 10.1007/s11241-025-09441-z
intvolume: ' 61'
issue: '2'
language:
- iso: eng
page: 306-310
publication: Real-Time Systems
publication_identifier:
issn:
- 0922-6443
- 1573-1383
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Shielded reinforcement learning for fault-tolerant scheduling in real-time
systems
type: journal_article
user_id: '128464'
volume: 61
year: '2025'
...
---
_id: '66148'
author:
- first_name: Kuan-Hsun
full_name: Chen, Kuan-Hsun
id: '128464'
last_name: Chen
orcid: 0000-0002-7110-921X
- first_name: Jing
full_name: Li, Jing
last_name: Li
- first_name: Federico
full_name: Reghenzani, Federico
last_name: Reghenzani
- first_name: Jian-Jia
full_name: Chen, Jian-Jia
last_name: Chen
citation:
ama: Chen K-H, Li J, Reghenzani F, Chen J-J. Introduction to the Special Issue on
Fault-Resilient Cyber-Physical Systems—Part 2. ACM Transactions on Cyber-Physical
Systems. 2025;9(1):1-2. doi:10.1145/3712019
apa: Chen, K.-H., Li, J., Reghenzani, F., & Chen, J.-J. (2025). Introduction
to the Special Issue on Fault-Resilient Cyber-Physical Systems—Part 2. ACM
Transactions on Cyber-Physical Systems, 9(1), 1–2. https://doi.org/10.1145/3712019
bibtex: '@article{Chen_Li_Reghenzani_Chen_2025, title={Introduction to the Special
Issue on Fault-Resilient Cyber-Physical Systems—Part 2}, volume={9}, DOI={10.1145/3712019},
number={1}, journal={ACM Transactions on Cyber-Physical Systems}, publisher={Association
for Computing Machinery (ACM)}, author={Chen, Kuan-Hsun and Li, Jing and Reghenzani,
Federico and Chen, Jian-Jia}, year={2025}, pages={1–2} }'
chicago: 'Chen, Kuan-Hsun, Jing Li, Federico Reghenzani, and Jian-Jia Chen. “Introduction
to the Special Issue on Fault-Resilient Cyber-Physical Systems—Part 2.” ACM
Transactions on Cyber-Physical Systems 9, no. 1 (2025): 1–2. https://doi.org/10.1145/3712019.'
ieee: 'K.-H. Chen, J. Li, F. Reghenzani, and J.-J. Chen, “Introduction to the Special
Issue on Fault-Resilient Cyber-Physical Systems—Part 2,” ACM Transactions on
Cyber-Physical Systems, vol. 9, no. 1, pp. 1–2, 2025, doi: 10.1145/3712019.'
mla: Chen, Kuan-Hsun, et al. “Introduction to the Special Issue on Fault-Resilient
Cyber-Physical Systems—Part 2.” ACM Transactions on Cyber-Physical Systems,
vol. 9, no. 1, Association for Computing Machinery (ACM), 2025, pp. 1–2, doi:10.1145/3712019.
short: K.-H. Chen, J. Li, F. Reghenzani, J.-J. Chen, ACM Transactions on Cyber-Physical
Systems 9 (2025) 1–2.
date_created: 2026-07-03T21:07:37Z
date_updated: 2026-10-12T20:19:10Z
doi: 10.1145/3712019
intvolume: ' 9'
issue: '1'
language:
- iso: eng
page: 1-2
publication: ACM Transactions on Cyber-Physical Systems
publication_identifier:
issn:
- 2378-962X
- 2378-9638
publication_status: published
publisher: Association for Computing Machinery (ACM)
status: public
title: Introduction to the Special Issue on Fault-Resilient Cyber-Physical Systems—Part
2
type: journal_article
user_id: '128464'
volume: 9
year: '2025'
...
---
_id: '66156'
author:
- first_name: Leoni
full_name: Winschermann, Leoni
last_name: Winschermann
- first_name: Mario
full_name: Günzel, Mario
last_name: Günzel
- first_name: Kuan-Hsun
full_name: Chen, Kuan-Hsun
id: '128464'
last_name: Chen
orcid: 0000-0002-7110-921X
- first_name: Johann
full_name: Hurink, Johann
last_name: Hurink
citation:
ama: 'Winschermann L, Günzel M, Chen K-H, Hurink J. Optimizing Electric Vehicle
Scheduling with Charging Guarantees using Flow Models with Local Penalties. In:
Proceedings of the 16th ACM International Conference on Future and Sustainable
Energy Systems. ACM; 2025. doi:10.1145/3679240.3734593'
apa: Winschermann, L., Günzel, M., Chen, K.-H., & Hurink, J. (2025). Optimizing
Electric Vehicle Scheduling with Charging Guarantees using Flow Models with Local
Penalties. Proceedings of the 16th ACM International Conference on Future and
Sustainable Energy Systems. https://doi.org/10.1145/3679240.3734593
bibtex: '@inproceedings{Winschermann_Günzel_Chen_Hurink_2025, title={Optimizing
Electric Vehicle Scheduling with Charging Guarantees using Flow Models with Local
Penalties}, DOI={10.1145/3679240.3734593},
booktitle={Proceedings of the 16th ACM International Conference on Future and
Sustainable Energy Systems}, publisher={ACM}, author={Winschermann, Leoni and
Günzel, Mario and Chen, Kuan-Hsun and Hurink, Johann}, year={2025} }'
chicago: Winschermann, Leoni, Mario Günzel, Kuan-Hsun Chen, and Johann Hurink. “Optimizing
Electric Vehicle Scheduling with Charging Guarantees Using Flow Models with Local
Penalties.” In Proceedings of the 16th ACM International Conference on Future
and Sustainable Energy Systems. ACM, 2025. https://doi.org/10.1145/3679240.3734593.
ieee: 'L. Winschermann, M. Günzel, K.-H. Chen, and J. Hurink, “Optimizing Electric
Vehicle Scheduling with Charging Guarantees using Flow Models with Local Penalties,”
2025, doi: 10.1145/3679240.3734593.'
mla: Winschermann, Leoni, et al. “Optimizing Electric Vehicle Scheduling with Charging
Guarantees Using Flow Models with Local Penalties.” Proceedings of the 16th
ACM International Conference on Future and Sustainable Energy Systems, ACM,
2025, doi:10.1145/3679240.3734593.
short: 'L. Winschermann, M. Günzel, K.-H. Chen, J. Hurink, in: Proceedings of the
16th ACM International Conference on Future and Sustainable Energy Systems, ACM,
2025.'
date_created: 2026-07-03T21:08:59Z
date_updated: 2026-10-12T20:23:08Z
doi: 10.1145/3679240.3734593
language:
- iso: eng
publication: Proceedings of the 16th ACM International Conference on Future and Sustainable
Energy Systems
publication_status: published
publisher: ACM
status: public
title: Optimizing Electric Vehicle Scheduling with Charging Guarantees using Flow
Models with Local Penalties
type: conference
user_id: '128464'
year: '2025'
...
---
_id: '66152'
author:
- first_name: Hassan
full_name: Nassar, Hassan
last_name: Nassar
- first_name: Ming-Liang
full_name: Wei, Ming-Liang
last_name: Wei
- first_name: Chia-Lin
full_name: Yang, Chia-Lin
last_name: Yang
- first_name: Jörg
full_name: Henkel, Jörg
last_name: Henkel
- first_name: Kuan-Hsun
full_name: Chen, Kuan-Hsun
id: '128464'
last_name: Chen
orcid: 0000-0002-7110-921X
citation:
ama: 'Nassar H, Wei M-L, Yang C-L, Henkel J, Chen K-H. REAP-NVM: Resilient Endurance-Aware
NVM-Based PUF Against Learning-Based Attacks. In: 2025 Design, Automation &Amp;
Test in Europe Conference (DATE). IEEE; 2025. doi:10.23919/date64628.2025.10992747'
apa: 'Nassar, H., Wei, M.-L., Yang, C.-L., Henkel, J., & Chen, K.-H. (2025).
REAP-NVM: Resilient Endurance-Aware NVM-Based PUF Against Learning-Based Attacks.
2025 Design, Automation &Amp; Test in Europe Conference (DATE).
https://doi.org/10.23919/date64628.2025.10992747'
bibtex: '@inproceedings{Nassar_Wei_Yang_Henkel_Chen_2025, title={REAP-NVM: Resilient
Endurance-Aware NVM-Based PUF Against Learning-Based Attacks}, DOI={10.23919/date64628.2025.10992747},
booktitle={2025 Design, Automation & Test in Europe Conference (DATE)},
publisher={IEEE}, author={Nassar, Hassan and Wei, Ming-Liang and Yang, Chia-Lin
and Henkel, Jörg and Chen, Kuan-Hsun}, year={2025} }'
chicago: 'Nassar, Hassan, Ming-Liang Wei, Chia-Lin Yang, Jörg Henkel, and Kuan-Hsun
Chen. “REAP-NVM: Resilient Endurance-Aware NVM-Based PUF Against Learning-Based
Attacks.” In 2025 Design, Automation &Amp; Test in Europe Conference
(DATE). IEEE, 2025. https://doi.org/10.23919/date64628.2025.10992747.'
ieee: 'H. Nassar, M.-L. Wei, C.-L. Yang, J. Henkel, and K.-H. Chen, “REAP-NVM: Resilient
Endurance-Aware NVM-Based PUF Against Learning-Based Attacks,” 2025, doi: 10.23919/date64628.2025.10992747.'
mla: 'Nassar, Hassan, et al. “REAP-NVM: Resilient Endurance-Aware NVM-Based PUF
Against Learning-Based Attacks.” 2025 Design, Automation &Amp; Test
in Europe Conference (DATE), IEEE, 2025, doi:10.23919/date64628.2025.10992747.'
short: 'H. Nassar, M.-L. Wei, C.-L. Yang, J. Henkel, K.-H. Chen, in: 2025 Design,
Automation &Amp; Test in Europe Conference (DATE), IEEE, 2025.'
date_created: 2026-07-03T21:08:20Z
date_updated: 2026-10-12T20:23:17Z
doi: 10.23919/date64628.2025.10992747
language:
- iso: eng
publication: 2025 Design, Automation & Test in Europe Conference (DATE)
publication_status: published
publisher: IEEE
status: public
title: 'REAP-NVM: Resilient Endurance-Aware NVM-Based PUF Against Learning-Based Attacks'
type: conference
user_id: '128464'
year: '2025'
...
---
_id: '66158'
author:
- first_name: Elijah Seth
full_name: Cishugi, Elijah Seth
last_name: Cishugi
- first_name: Tijmen T.
full_name: Smit, Tijmen T.
last_name: Smit
- first_name: Bruno
full_name: Forlin, Bruno
last_name: Forlin
- first_name: Carlo
full_name: Cazzaniga, Carlo
last_name: Cazzaniga
- first_name: Kuan-Hsun
full_name: Chen, Kuan-Hsun
id: '128464'
last_name: Chen
orcid: 0000-0002-7110-921X
- first_name: Marco
full_name: Ottavi, Marco
last_name: Ottavi
citation:
ama: 'Cishugi ES, Smit TT, Forlin B, Cazzaniga C, Chen K-H, Ottavi M. Bloom Filters
for Soft Error Detection: Neutron and Fault Injection Validation. In: 2025
IEEE 31st International Symposium on On-Line Testing and Robust System Design
(IOLTS). IEEE; 2025. doi:10.1109/iolts65288.2025.11116913'
apa: 'Cishugi, E. S., Smit, T. T., Forlin, B., Cazzaniga, C., Chen, K.-H., &
Ottavi, M. (2025). Bloom Filters for Soft Error Detection: Neutron and Fault Injection
Validation. 2025 IEEE 31st International Symposium on On-Line Testing and Robust
System Design (IOLTS). https://doi.org/10.1109/iolts65288.2025.11116913'
bibtex: '@inproceedings{Cishugi_Smit_Forlin_Cazzaniga_Chen_Ottavi_2025, title={Bloom
Filters for Soft Error Detection: Neutron and Fault Injection Validation}, DOI={10.1109/iolts65288.2025.11116913},
booktitle={2025 IEEE 31st International Symposium on On-Line Testing and Robust
System Design (IOLTS)}, publisher={IEEE}, author={Cishugi, Elijah Seth and Smit,
Tijmen T. and Forlin, Bruno and Cazzaniga, Carlo and Chen, Kuan-Hsun and Ottavi,
Marco}, year={2025} }'
chicago: 'Cishugi, Elijah Seth, Tijmen T. Smit, Bruno Forlin, Carlo Cazzaniga, Kuan-Hsun
Chen, and Marco Ottavi. “Bloom Filters for Soft Error Detection: Neutron and Fault
Injection Validation.” In 2025 IEEE 31st International Symposium on On-Line
Testing and Robust System Design (IOLTS). IEEE, 2025. https://doi.org/10.1109/iolts65288.2025.11116913.'
ieee: 'E. S. Cishugi, T. T. Smit, B. Forlin, C. Cazzaniga, K.-H. Chen, and M. Ottavi,
“Bloom Filters for Soft Error Detection: Neutron and Fault Injection Validation,”
2025, doi: 10.1109/iolts65288.2025.11116913.'
mla: 'Cishugi, Elijah Seth, et al. “Bloom Filters for Soft Error Detection: Neutron
and Fault Injection Validation.” 2025 IEEE 31st International Symposium on
On-Line Testing and Robust System Design (IOLTS), IEEE, 2025, doi:10.1109/iolts65288.2025.11116913.'
short: 'E.S. Cishugi, T.T. Smit, B. Forlin, C. Cazzaniga, K.-H. Chen, M. Ottavi,
in: 2025 IEEE 31st International Symposium on On-Line Testing and Robust System
Design (IOLTS), IEEE, 2025.'
date_created: 2026-07-03T21:09:35Z
date_updated: 2026-10-12T20:24:57Z
doi: 10.1109/iolts65288.2025.11116913
language:
- iso: eng
publication: 2025 IEEE 31st International Symposium on On-Line Testing and Robust
System Design (IOLTS)
publication_status: published
publisher: IEEE
status: public
title: 'Bloom Filters for Soft Error Detection: Neutron and Fault Injection Validation'
type: conference
user_id: '128464'
year: '2025'
...