---
_id: '64877'
author:
- first_name: Behnood
full_name: Taheri, Behnood
last_name: Taheri
- first_name: Denis
full_name: Kopylov, Denis
id: '98502'
last_name: Kopylov
- first_name: Manfred
full_name: Hammer, Manfred
id: '48077'
last_name: Hammer
orcid: 0000-0002-6331-9348
- first_name: Torsten
full_name: Meier, Torsten
id: '344'
last_name: Meier
orcid: 0000-0001-8864-2072
- first_name: Jens
full_name: Förstner, Jens
id: '158'
last_name: Förstner
orcid: 0000-0001-7059-9862
- first_name: Polina R.
full_name: Sharapova, Polina R.
id: '60286'
last_name: Sharapova
citation:
ama: Taheri B, Kopylov D, Hammer M, Meier T, Förstner J, Sharapova PR. Gain-induced
spectral non-degeneracy in type-II parametric down-conversion. arXiv. Published
online 2026. doi:10.48550/ARXIV.2603.01656
apa: Taheri, B., Kopylov, D., Hammer, M., Meier, T., Förstner, J., & Sharapova,
P. R. (2026). Gain-induced spectral non-degeneracy in type-II parametric down-conversion.
ArXiv. https://doi.org/10.48550/ARXIV.2603.01656
bibtex: '@article{Taheri_Kopylov_Hammer_Meier_Förstner_Sharapova_2026, title={Gain-induced
spectral non-degeneracy in type-II parametric down-conversion}, DOI={10.48550/ARXIV.2603.01656},
journal={arXiv}, author={Taheri, Behnood and Kopylov, Denis and Hammer, Manfred
and Meier, Torsten and Förstner, Jens and Sharapova, Polina R.}, year={2026} }'
chicago: Taheri, Behnood, Denis Kopylov, Manfred Hammer, Torsten Meier, Jens Förstner,
and Polina R. Sharapova. “Gain-Induced Spectral Non-Degeneracy in Type-II Parametric
down-Conversion.” ArXiv, 2026. https://doi.org/10.48550/ARXIV.2603.01656.
ieee: 'B. Taheri, D. Kopylov, M. Hammer, T. Meier, J. Förstner, and P. R. Sharapova,
“Gain-induced spectral non-degeneracy in type-II parametric down-conversion,”
arXiv, 2026, doi: 10.48550/ARXIV.2603.01656.'
mla: Taheri, Behnood, et al. “Gain-Induced Spectral Non-Degeneracy in Type-II Parametric
down-Conversion.” ArXiv, 2026, doi:10.48550/ARXIV.2603.01656.
short: B. Taheri, D. Kopylov, M. Hammer, T. Meier, J. Förstner, P.R. Sharapova,
ArXiv (2026).
date_created: 2026-03-10T15:37:22Z
date_updated: 2026-03-10T15:41:18Z
department:
- _id: '15'
- _id: '569'
- _id: '170'
- _id: '293'
- _id: '35'
- _id: '34'
- _id: '61'
- _id: '230'
- _id: '623'
- _id: '429'
doi: 10.48550/ARXIV.2603.01656
language:
- iso: eng
project:
- _id: '168'
name: TRR 142 - Polaronen-Einfluss auf die optischen Eigenschaften von Lithiumniobat
(B07*)
- _id: '56'
name: TRR 142 - Project Area C
- _id: '174'
name: 'TRR 142 ; TP: C10: Erzeugung und Charakterisierung von Quantenlicht in nichtlinearen
Systemen: Eine theoretische Analyse'
publication: arXiv
status: public
title: Gain-induced spectral non-degeneracy in type-II parametric down-conversion
type: journal_article
user_id: '16199'
year: '2026'
...
---
_id: '64823'
abstract:
- lang: eng
text: "Current legal frameworks enforce that Android developers accurately report
the data their apps collect. However, large codebases can make this reporting
challenging. This paper employs an empirical approach to understand developers'
experience with Google Play Store's Data Safety Section (DSS) form.\r\n\r\nWe
first survey 41 Android developers to understand how they categorize privacy-related
data into DSS categories and how confident they feel when completing the DSS form.
To gain a broader and more detailed view of the challenges developers encounter
during the process, we complement the survey with an analysis of 172 online developer
discussions, capturing the perspectives of 642 additional developers. Together,
these two data sources represent insights from 683 developers.\r\n\r\nOur findings
reveal that developers often manually classify the privacy-related data their
apps collect into the data categories defined by Google-or, in some cases, omit
classification entirely-and rely heavily on existing online resources when completing
the form. Moreover, developers are generally confident in recognizing the data
their apps collect, yet they lack confidence in translating this knowledge into
DSS-compliant disclosures. Key challenges include issues in identifying privacy-relevant
data to complete the form, limited understanding of the form, and concerns about
app rejection due to discrepancies with Google's privacy requirements.\r\nThese
results underscore the need for clearer guidance and more accessible tooling to
support developers in meeting privacy-aware reporting obligations. "
author:
- first_name: Mugdha
full_name: Khedkar, Mugdha
id: '88024'
last_name: Khedkar
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
orcid: 0000-0001-6600-6171
- first_name: Mohamed Aboubakr Mohamed
full_name: Soliman, Mohamed Aboubakr Mohamed
id: '102489'
last_name: Soliman
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Khedkar M, Schlichtig M, Soliman MAM, Bodden E. Challenges in Android Data
Disclosure: An Empirical Study. In: Proceedings of the IEEE/ACM 13th International
Conference on Mobile Software Engineering and Systems (MOBILESoft ’26). Association
for Computing Machinery, New York, NY, USA, 65–68. ; 2026.'
apa: 'Khedkar, M., Schlichtig, M., Soliman, M. A. M., & Bodden, E. (2026). Challenges
in Android Data Disclosure: An Empirical Study. Proceedings of the IEEE/ACM
13th International Conference on Mobile Software Engineering and Systems (MOBILESoft
’26). Association for Computing Machinery, New York, NY, USA, 65–68. 13th
International Conference on Mobile Software Engineering and Systems 2024, Rio
de Janeiro, Brazil.'
bibtex: '@inproceedings{Khedkar_Schlichtig_Soliman_Bodden_2026, title={Challenges
in Android Data Disclosure: An Empirical Study.}, booktitle={Proceedings of the
IEEE/ACM 13th International Conference on Mobile Software Engineering and Systems
(MOBILESoft ’26). Association for Computing Machinery, New York, NY, USA, 65–68.},
author={Khedkar, Mugdha and Schlichtig, Michael and Soliman, Mohamed Aboubakr
Mohamed and Bodden, Eric}, year={2026} }'
chicago: 'Khedkar, Mugdha, Michael Schlichtig, Mohamed Aboubakr Mohamed Soliman,
and Eric Bodden. “Challenges in Android Data Disclosure: An Empirical Study.”
In Proceedings of the IEEE/ACM 13th International Conference on Mobile Software
Engineering and Systems (MOBILESoft ’26). Association for Computing Machinery,
New York, NY, USA, 65–68., 2026.'
ieee: 'M. Khedkar, M. Schlichtig, M. A. M. Soliman, and E. Bodden, “Challenges in
Android Data Disclosure: An Empirical Study.,” presented at the 13th International
Conference on Mobile Software Engineering and Systems 2024, Rio de Janeiro, Brazil,
2026.'
mla: 'Khedkar, Mugdha, et al. “Challenges in Android Data Disclosure: An Empirical
Study.” Proceedings of the IEEE/ACM 13th International Conference on Mobile
Software Engineering and Systems (MOBILESoft ’26). Association for Computing Machinery,
New York, NY, USA, 65–68., 2026.'
short: 'M. Khedkar, M. Schlichtig, M.A.M. Soliman, E. Bodden, in: Proceedings of
the IEEE/ACM 13th International Conference on Mobile Software Engineering and
Systems (MOBILESoft ’26). Association for Computing Machinery, New York, NY, USA,
65–68., 2026.'
conference:
end_date: 2026-04-18
location: Rio de Janeiro, Brazil
name: 13th International Conference on Mobile Software Engineering and Systems 2024
start_date: 2026-04-12
date_created: 2026-03-04T08:10:43Z
date_updated: 2026-03-13T12:10:10Z
department:
- _id: '76'
external_id:
arxiv:
- '2601.20459'
keyword:
- static analysis
- data collection
- data protection
- privacy-aware reporting
language:
- iso: eng
publication: Proceedings of the IEEE/ACM 13th International Conference on Mobile Software
Engineering and Systems (MOBILESoft '26). Association for Computing Machinery, New
York, NY, USA, 65–68.
status: public
title: 'Challenges in Android Data Disclosure: An Empirical Study.'
type: conference
user_id: '88024'
year: '2026'
...
---
_id: '64821'
article_number: '56'
author:
- first_name: Mugdha
full_name: Khedkar, Mugdha
id: '88024'
last_name: Khedkar
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
orcid: 0000-0001-6600-6171
- first_name: Nihad
full_name: Atakishiyev, Nihad
last_name: Atakishiyev
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Khedkar M, Schlichtig M, Atakishiyev N, Bodden E. Between Law and Code: Challenges
and Opportunities for Automating Privacy Assessments. Automated Software Engineering
. 2026;33(2). doi:10.1007/s10515-026-00601-4'
apa: 'Khedkar, M., Schlichtig, M., Atakishiyev, N., & Bodden, E. (2026). Between
Law and Code: Challenges and Opportunities for Automating Privacy Assessments.
Automated Software Engineering , 33(2), Article 56. https://doi.org/10.1007/s10515-026-00601-4'
bibtex: '@article{Khedkar_Schlichtig_Atakishiyev_Bodden_2026, title={Between Law
and Code: Challenges and Opportunities for Automating Privacy Assessments}, volume={33},
DOI={10.1007/s10515-026-00601-4},
number={256}, journal={Automated Software Engineering }, publisher={Springer US},
author={Khedkar, Mugdha and Schlichtig, Michael and Atakishiyev, Nihad and Bodden,
Eric}, year={2026} }'
chicago: 'Khedkar, Mugdha, Michael Schlichtig, Nihad Atakishiyev, and Eric Bodden.
“Between Law and Code: Challenges and Opportunities for Automating Privacy Assessments.”
Automated Software Engineering 33, no. 2 (2026). https://doi.org/10.1007/s10515-026-00601-4.'
ieee: 'M. Khedkar, M. Schlichtig, N. Atakishiyev, and E. Bodden, “Between Law and
Code: Challenges and Opportunities for Automating Privacy Assessments,” Automated
Software Engineering , vol. 33, no. 2, Art. no. 56, 2026, doi: 10.1007/s10515-026-00601-4.'
mla: 'Khedkar, Mugdha, et al. “Between Law and Code: Challenges and Opportunities
for Automating Privacy Assessments.” Automated Software Engineering , vol.
33, no. 2, 56, Springer US, 2026, doi:10.1007/s10515-026-00601-4.'
short: M. Khedkar, M. Schlichtig, N. Atakishiyev, E. Bodden, Automated Software
Engineering 33 (2026).
date_created: 2026-03-04T08:03:14Z
date_updated: 2026-03-13T12:10:38Z
department:
- _id: '76'
doi: 10.1007/s10515-026-00601-4
intvolume: ' 33'
issue: '2'
language:
- iso: eng
publication: 'Automated Software Engineering '
publication_identifier:
unknown:
- 1573-7535
publisher: Springer US
status: public
title: 'Between Law and Code: Challenges and Opportunities for Automating Privacy
Assessments'
type: journal_article
user_id: '88024'
volume: 33
year: '2026'
...
---
_id: '64909'
author:
- first_name: Mugdha
full_name: Khedkar, Mugdha
id: '88024'
last_name: Khedkar
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
orcid: 0000-0001-6600-6171
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Khedkar M, Schlichtig M, Bodden E. Source Code-Driven GDPR Documentation:
Supporting RoPA with Assessor View. In: IEEE International Conference on Software
Analysis, Evolution and Reengineering (SANER 2026). ; 2026.'
apa: 'Khedkar, M., Schlichtig, M., & Bodden, E. (2026). Source Code-Driven GDPR
Documentation: Supporting RoPA with Assessor View. IEEE International Conference
on Software Analysis, Evolution and Reengineering (SANER 2026).'
bibtex: '@inproceedings{Khedkar_Schlichtig_Bodden_2026, title={Source Code-Driven
GDPR Documentation: Supporting RoPA with Assessor View}, booktitle={IEEE International
Conference on Software Analysis, Evolution and Reengineering (SANER 2026)}, author={Khedkar,
Mugdha and Schlichtig, Michael and Bodden, Eric}, year={2026} }'
chicago: 'Khedkar, Mugdha, Michael Schlichtig, and Eric Bodden. “Source Code-Driven
GDPR Documentation: Supporting RoPA with Assessor View.” In IEEE International
Conference on Software Analysis, Evolution and Reengineering (SANER 2026),
2026.'
ieee: 'M. Khedkar, M. Schlichtig, and E. Bodden, “Source Code-Driven GDPR Documentation:
Supporting RoPA with Assessor View,” 2026.'
mla: 'Khedkar, Mugdha, et al. “Source Code-Driven GDPR Documentation: Supporting
RoPA with Assessor View.” IEEE International Conference on Software Analysis,
Evolution and Reengineering (SANER 2026), 2026.'
short: 'M. Khedkar, M. Schlichtig, E. Bodden, in: IEEE International Conference
on Software Analysis, Evolution and Reengineering (SANER 2026), 2026.'
date_created: 2026-03-13T12:16:09Z
date_updated: 2026-03-13T12:17:01Z
department:
- _id: '76'
language:
- iso: eng
main_file_link:
- url: https://mugdhak30.github.io/assets/Preprints/RoPA_SANER2026.pdf
publication: IEEE International Conference on Software Analysis, Evolution and Reengineering
(SANER 2026)
status: public
title: 'Source Code-Driven GDPR Documentation: Supporting RoPA with Assessor View'
type: conference
user_id: '88024'
year: '2026'
...
---
_id: '64979'
abstract:
- lang: eng
text: We investigate homogeneous coupled cell systems with high-dimensional internal
dynamics. In many studies on network dynamics, the analysis is restricted to networks
with one-dimensional internal dynamics. Here, we show how symmetry explains the
relation between dynamical behavior of systems with one-dimensional internal dynamics
and with higher dimensional internal dynamics, when the underlying network topology
is the same. Fundamental networks of homogeneous coupled cell systems (B. Rink,
J. Sanders. Coupled Cell Networks and Their Hidden Symmetries. SIAM J. Math. Anal.
46.2 (2014)) can be expressed in terms of monoid representations, which uniquely
decompose into indecomposable subrepresentations. In the high-dimensional internal
dynamics case, these subrepresentations are isomorphic to multiple copies of those
one computes in the one-dimensional internal dynamics case. This has interesting
implications for possible center subspaces in bifurcation analysis. We describe
the effect on steady state and Hopf bifurcations in l-parameter families of network
vector fields. The main results in that regard are that (1) generic one-parameter
steady state bifurcations are qualitatively independent of the dimension of the
internal dynamics and that, (2) in order to observe all generic l-parameter bifurcations
that may occur for internal dynamics of any dimension, the internal dynamics has
to be at least l-dimensional for steady state bifurcations and 2l-dimensional
for Hopf bifurcations. Furthermore, we illustrate how additional structure in
the network can be exploited to obtain even greater understanding of bifurcation
scenarios in the high-dimensional case beyond qualitative statements about the
collective dynamics. One-parameter steady state bifurcations in feedforward networks
exhibit an unusual amplification in the asymptotic growth rates of individual
cells, when these are one-dimensional (S. von der Gracht, E. Nijholt, B. Rink.
Amplified steady state bifurcations in feedforward networks. Nonlinearity 35.4
(2022)). As another main result, we prove that (3) the same cells exhibit this
amplifying effect with the same growth rates when the internal dynamics is high-dimensional.
article_number: '118196'
article_type: original
author:
- first_name: Sören
full_name: von der Gracht, Sören
id: '97359'
last_name: von der Gracht
orcid: 0000-0002-8054-2058
- first_name: Eddie
full_name: Nijholt, Eddie
last_name: Nijholt
- first_name: Bob
full_name: Rink, Bob
last_name: Rink
citation:
ama: von der Gracht S, Nijholt E, Rink B. Homogeneous coupled cell systems with
high-dimensional internal dynamics. Chaos, Solitons & Fractals. 2026;208.
doi:10.1016/j.chaos.2026.118196
apa: von der Gracht, S., Nijholt, E., & Rink, B. (2026). Homogeneous coupled
cell systems with high-dimensional internal dynamics. Chaos, Solitons &
Fractals, 208, Article 118196. https://doi.org/10.1016/j.chaos.2026.118196
bibtex: '@article{von der Gracht_Nijholt_Rink_2026, title={Homogeneous coupled cell
systems with high-dimensional internal dynamics}, volume={208}, DOI={10.1016/j.chaos.2026.118196},
number={118196}, journal={Chaos, Solitons & Fractals}, publisher={Elsevier
BV}, author={von der Gracht, Sören and Nijholt, Eddie and Rink, Bob}, year={2026}
}'
chicago: Gracht, Sören von der, Eddie Nijholt, and Bob Rink. “Homogeneous Coupled
Cell Systems with High-Dimensional Internal Dynamics.” Chaos, Solitons &
Fractals 208 (2026). https://doi.org/10.1016/j.chaos.2026.118196.
ieee: 'S. von der Gracht, E. Nijholt, and B. Rink, “Homogeneous coupled cell systems
with high-dimensional internal dynamics,” Chaos, Solitons & Fractals,
vol. 208, Art. no. 118196, 2026, doi: 10.1016/j.chaos.2026.118196.'
mla: von der Gracht, Sören, et al. “Homogeneous Coupled Cell Systems with High-Dimensional
Internal Dynamics.” Chaos, Solitons & Fractals, vol. 208, 118196, Elsevier
BV, 2026, doi:10.1016/j.chaos.2026.118196.
short: S. von der Gracht, E. Nijholt, B. Rink, Chaos, Solitons & Fractals 208
(2026).
date_created: 2026-03-16T08:39:07Z
date_updated: 2026-03-16T08:42:56Z
ddc:
- '510'
department:
- _id: '101'
- _id: '841'
doi: 10.1016/j.chaos.2026.118196
external_id:
arxiv:
- '2510.06740'
file:
- access_level: closed
content_type: application/pdf
creator: svdg
date_created: 2026-03-16T08:40:04Z
date_updated: 2026-03-16T08:40:04Z
file_id: '64980'
file_name: homogeneous-coupled-cell-systems-with-high-dimensional-internal-dynamics.pdf
file_size: 1951746
relation: main_file
success: 1
file_date_updated: 2026-03-16T08:40:04Z
has_accepted_license: '1'
intvolume: ' 208'
keyword:
- Coupled cell systems
- Network dynamics
- Dimension reduction
- Bifurcation theory
- Symmetry
- Monoid representation theory
language:
- iso: eng
publication: Chaos, Solitons & Fractals
publication_identifier:
issn:
- 0960-0779
publication_status: published
publisher: Elsevier BV
status: public
title: Homogeneous coupled cell systems with high-dimensional internal dynamics
type: journal_article
user_id: '97359'
volume: 208
year: '2026'
...
---
_id: '65017'
abstract:
- lang: eng
text: Static Application Security Testing (SAST) tools play a vital role in modern
software development by automatically detecting potential vulnerabilities in source
code. However, their effectiveness is often limited by a high rate of false positives,
which wastes developer's effort and undermines trust in automated analysis. This
work presents a Graph Convolutional Network (GCN) model designed to predict SAST
reports as true and false positive. The model leverages Code Property Graphs (CPGs)
constructed from static analysis results to capture both, structural and semantic
relationships within code. Trained on the CamBenchCAP dataset, the model achieved
an accuracy of 100% on the test set using an 80/20 train-test split. Evaluation
on the CryptoAPI-Bench benchmark further demonstrated the model's practical applicability,
reaching an overall accuracy of up to 96.6%. A detailed qualitative inspection
revealed that many cases marked as misclassifications corresponded to genuine
security weaknesses, indicating that the model effectively reflects conservative,
security-aware reasoning. Identified limitations include incomplete control-flow
representation due to missing interprocedural connections. Future work will focus
on integrating call graphs, applying graph explainability techniques, and extending
training data across multiple SAST tools to improve generalization and interpretability.
author:
- first_name: Tom
full_name: Ohlmer, Tom
last_name: Ohlmer
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
orcid: 0000-0001-6600-6171
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: Ohlmer T, Schlichtig M, Bodden E. FP-Predictor - False Positive Prediction
for Static Analysis Reports. arXiv:260310558. Published online 2026.
apa: Ohlmer, T., Schlichtig, M., & Bodden, E. (2026). FP-Predictor - False Positive
Prediction for Static Analysis Reports. In arXiv:2603.10558.
bibtex: '@article{Ohlmer_Schlichtig_Bodden_2026, title={FP-Predictor - False Positive
Prediction for Static Analysis Reports}, journal={arXiv:2603.10558}, author={Ohlmer,
Tom and Schlichtig, Michael and Bodden, Eric}, year={2026} }'
chicago: Ohlmer, Tom, Michael Schlichtig, and Eric Bodden. “FP-Predictor - False
Positive Prediction for Static Analysis Reports.” ArXiv:2603.10558, 2026.
ieee: T. Ohlmer, M. Schlichtig, and E. Bodden, “FP-Predictor - False Positive Prediction
for Static Analysis Reports,” arXiv:2603.10558. 2026.
mla: Ohlmer, Tom, et al. “FP-Predictor - False Positive Prediction for Static Analysis
Reports.” ArXiv:2603.10558, 2026.
short: T. Ohlmer, M. Schlichtig, E. Bodden, ArXiv:2603.10558 (2026).
date_created: 2026-03-16T17:38:33Z
date_updated: 2026-03-16T17:40:31Z
department:
- _id: '76'
external_id:
arxiv:
- '2603.10558'
language:
- iso: eng
publication: arXiv:2603.10558
status: public
title: FP-Predictor - False Positive Prediction for Static Analysis Reports
type: preprint
user_id: '32312'
year: '2026'
...
---
_id: '64176'
author:
- first_name: Katrin
full_name: Deutschen, Katrin
id: '64894'
last_name: Deutschen
- first_name: Inga
full_name: Neufeld, Inga
id: '61635'
last_name: Neufeld
- first_name: Uta
full_name: Häsel-Weide, Uta
id: '60267'
last_name: Häsel-Weide
orcid: 0000-0001-6278-4240
citation:
ama: Deutschen K, Neufeld I, Häsel-Weide U. Lernbegleitung produktiv gestalten.
Mathematische Verstehensprozesse von Kindern anregen. Grundschule aktuell.
2026;(173):10-11.
apa: Deutschen, K., Neufeld, I., & Häsel-Weide, U. (2026). Lernbegleitung produktiv
gestalten. Mathematische Verstehensprozesse von Kindern anregen. Grundschule
aktuell, 173, 10–11.
bibtex: '@article{Deutschen_Neufeld_Häsel-Weide_2026, title={Lernbegleitung produktiv
gestalten. Mathematische Verstehensprozesse von Kindern anregen.}, number={173},
journal={Grundschule aktuell}, author={Deutschen, Katrin and Neufeld, Inga and
Häsel-Weide, Uta}, year={2026}, pages={10–11} }'
chicago: 'Deutschen, Katrin, Inga Neufeld, and Uta Häsel-Weide. “Lernbegleitung
produktiv gestalten. Mathematische Verstehensprozesse von Kindern anregen.” Grundschule
aktuell, no. 173 (2026): 10–11.'
ieee: K. Deutschen, I. Neufeld, and U. Häsel-Weide, “Lernbegleitung produktiv gestalten.
Mathematische Verstehensprozesse von Kindern anregen.,” Grundschule aktuell,
no. 173, pp. 10–11, 2026.
mla: Deutschen, Katrin, et al. “Lernbegleitung produktiv gestalten. Mathematische
Verstehensprozesse von Kindern anregen.” Grundschule aktuell, no. 173,
2026, pp. 10–11.
short: K. Deutschen, I. Neufeld, U. Häsel-Weide, Grundschule aktuell (2026) 10–11.
date_created: 2026-02-16T12:16:29Z
date_updated: 2026-03-17T10:48:56Z
department:
- _id: '543'
issue: '173'
language:
- iso: ger
page: 10-11
publication: Grundschule aktuell
status: public
title: Lernbegleitung produktiv gestalten. Mathematische Verstehensprozesse von Kindern
anregen.
type: journal_article
user_id: '44184'
year: '2026'
...
---
_id: '65026'
author:
- first_name: Inga
full_name: Neufeld, Inga
id: '61635'
last_name: Neufeld
- first_name: Uta
full_name: Häsel-Weide, Uta
id: '60267'
last_name: Häsel-Weide
orcid: 0000-0001-6278-4240
citation:
ama: 'Neufeld I, Häsel-Weide U. Lernbegleitung in der mathematischen Förderung.
Praktiken von (angehenden) Lehrkräften bei der Förderung arithmetischer Basiskompetenzen.
In: Vogelsang C, Grotegurt L, Bruns J, Riese J, Fechner S, eds. Handlungsorientierung
in Der Ausbildung von Lehrkräften Und Pädagogischen Fachkräften. Konzeptionen
Und Forschungsperspektiven. ; 2026:119-134. doi:10.31244/9783818851057 '
apa: Neufeld, I., & Häsel-Weide, U. (2026). Lernbegleitung in der mathematischen
Förderung. Praktiken von (angehenden) Lehrkräften bei der Förderung arithmetischer
Basiskompetenzen. In C. Vogelsang, L. Grotegurt, J. Bruns, J. Riese, & S.
Fechner (Eds.), Handlungsorientierung in der Ausbildung von Lehrkräften und
pädagogischen Fachkräften. Konzeptionen und Forschungsperspektiven (pp. 119–134).
https://doi.org/10.31244/9783818851057
bibtex: '@inbook{Neufeld_Häsel-Weide_2026, title={ Lernbegleitung in der mathematischen
Förderung. Praktiken von (angehenden) Lehrkräften bei der Förderung arithmetischer
Basiskompetenzen}, DOI={10.31244/9783818851057
}, booktitle={Handlungsorientierung in der Ausbildung von Lehrkräften und
pädagogischen Fachkräften. Konzeptionen und Forschungsperspektiven}, author={Neufeld,
Inga and Häsel-Weide, Uta}, editor={Vogelsang, C. and Grotegurt, L. and Bruns,
J. and Riese, J. and Fechner, S.}, year={2026}, pages={119–134} }'
chicago: Neufeld, Inga, and Uta Häsel-Weide. “ Lernbegleitung in Der Mathematischen
Förderung. Praktiken von (Angehenden) Lehrkräften Bei Der Förderung Arithmetischer
Basiskompetenzen.” In Handlungsorientierung in Der Ausbildung von Lehrkräften
Und Pädagogischen Fachkräften. Konzeptionen Und Forschungsperspektiven, edited
by C. Vogelsang, L. Grotegurt, J. Bruns, J. Riese, and S. Fechner, 119–34, 2026.
https://doi.org/10.31244/9783818851057
.
ieee: I. Neufeld and U. Häsel-Weide, “ Lernbegleitung in der mathematischen Förderung.
Praktiken von (angehenden) Lehrkräften bei der Förderung arithmetischer Basiskompetenzen,”
in Handlungsorientierung in der Ausbildung von Lehrkräften und pädagogischen
Fachkräften. Konzeptionen und Forschungsperspektiven, C. Vogelsang, L. Grotegurt,
J. Bruns, J. Riese, and S. Fechner, Eds. 2026, pp. 119–134.
mla: Neufeld, Inga, and Uta Häsel-Weide. “ Lernbegleitung in Der Mathematischen
Förderung. Praktiken von (Angehenden) Lehrkräften Bei Der Förderung Arithmetischer
Basiskompetenzen.” Handlungsorientierung in Der Ausbildung von Lehrkräften
Und Pädagogischen Fachkräften. Konzeptionen Und Forschungsperspektiven, edited
by C. Vogelsang et al., 2026, pp. 119–34, doi:10.31244/9783818851057 .
short: 'I. Neufeld, U. Häsel-Weide, in: C. Vogelsang, L. Grotegurt, J. Bruns, J.
Riese, S. Fechner (Eds.), Handlungsorientierung in Der Ausbildung von Lehrkräften
Und Pädagogischen Fachkräften. Konzeptionen Und Forschungsperspektiven, 2026,
pp. 119–134.'
date_created: 2026-03-17T10:57:17Z
date_updated: 2026-03-17T11:03:11Z
department:
- _id: '543'
doi: '10.31244/9783818851057 '
editor:
- first_name: C.
full_name: Vogelsang, C.
last_name: Vogelsang
- first_name: L.
full_name: Grotegurt, L.
last_name: Grotegurt
- first_name: J.
full_name: Bruns, J.
last_name: Bruns
- first_name: J.
full_name: Riese, J.
last_name: Riese
- first_name: S.
full_name: Fechner, S.
last_name: Fechner
language:
- iso: eng
page: 119-134
publication: Handlungsorientierung in der Ausbildung von Lehrkräften und pädagogischen
Fachkräften. Konzeptionen und Forschungsperspektiven
status: public
title: ' Lernbegleitung in der mathematischen Förderung. Praktiken von (angehenden)
Lehrkräften bei der Förderung arithmetischer Basiskompetenzen'
type: book_chapter
user_id: '44184'
year: '2026'
...
---
_id: '65030'
author:
- first_name: Luis
full_name: Amaral, Luis
last_name: Amaral
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
orcid: 0000-0001-6600-6171
- first_name: Wagner
full_name: Emanuel, Wagner
last_name: Emanuel
- first_name: Joilton
full_name: Almeida, Joilton
last_name: Almeida
- first_name: Carine
full_name: Ferreira, Carine
last_name: Ferreira
- first_name: Jérôme
full_name: Kempf, Jérôme
last_name: Kempf
- first_name: Rodrigo
full_name: Bonifácio, Rodrigo
last_name: Bonifácio
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
- first_name: Laerte
full_name: Peotta, Laerte
last_name: Peotta
- first_name: Gustavo
full_name: Pinto, Gustavo
last_name: Pinto
- first_name: Márcio
full_name: Ribeiro, Márcio
last_name: Ribeiro
citation:
ama: 'Amaral L, Schlichtig M, Emanuel W, et al. From Legacy Designs to Vulnerability
Fixes: Understanding SAST Adoption in Non-Technological Companies. In: 2026
IEEE International Conference on Software Analysis, Evolution and Reengineering
(SANER). ; 2026.'
apa: 'Amaral, L., Schlichtig, M., Emanuel, W., Almeida, J., Ferreira, C., Kempf,
J., Bonifácio, R., Bodden, E., Peotta, L., Pinto, G., & Ribeiro, M. (2026).
From Legacy Designs to Vulnerability Fixes: Understanding SAST Adoption in Non-Technological
Companies. 2026 IEEE International Conference on Software Analysis, Evolution
and Reengineering (SANER).'
bibtex: '@inproceedings{Amaral_Schlichtig_Emanuel_Almeida_Ferreira_Kempf_Bonifácio_Bodden_Peotta_Pinto_et
al._2026, title={From Legacy Designs to Vulnerability Fixes: Understanding SAST
Adoption in Non-Technological Companies}, booktitle={2026 IEEE International Conference
on Software Analysis, Evolution and Reengineering (SANER)}, author={Amaral, Luis
and Schlichtig, Michael and Emanuel, Wagner and Almeida, Joilton and Ferreira,
Carine and Kempf, Jérôme and Bonifácio, Rodrigo and Bodden, Eric and Peotta, Laerte
and Pinto, Gustavo and et al.}, year={2026} }'
chicago: 'Amaral, Luis, Michael Schlichtig, Wagner Emanuel, Joilton Almeida, Carine
Ferreira, Jérôme Kempf, Rodrigo Bonifácio, et al. “From Legacy Designs to Vulnerability
Fixes: Understanding SAST Adoption in Non-Technological Companies.” In 2026
IEEE International Conference on Software Analysis, Evolution and Reengineering
(SANER), 2026.'
ieee: 'L. Amaral et al., “From Legacy Designs to Vulnerability Fixes: Understanding
SAST Adoption in Non-Technological Companies,” 2026.'
mla: 'Amaral, Luis, et al. “From Legacy Designs to Vulnerability Fixes: Understanding
SAST Adoption in Non-Technological Companies.” 2026 IEEE International Conference
on Software Analysis, Evolution and Reengineering (SANER), 2026.'
short: 'L. Amaral, M. Schlichtig, W. Emanuel, J. Almeida, C. Ferreira, J. Kempf,
R. Bonifácio, E. Bodden, L. Peotta, G. Pinto, M. Ribeiro, in: 2026 IEEE International
Conference on Software Analysis, Evolution and Reengineering (SANER), 2026.'
date_created: 2026-03-17T11:59:09Z
date_updated: 2026-03-17T12:02:14Z
department:
- _id: '76'
language:
- iso: eng
publication: 2026 IEEE International Conference on Software Analysis, Evolution and
Reengineering (SANER)
status: public
title: 'From Legacy Designs to Vulnerability Fixes: Understanding SAST Adoption in
Non-Technological Companies'
type: conference
user_id: '32312'
year: '2026'
...
---
_id: '63754'
abstract:
- lang: eng
text: Data spaces are receiving an emerging interest in Information Systems Research
and industry practice. They are central to many European research initiatives
and shape the data economy in Industry 4.0. Generally, they aim to create secure
environments for cross-organizational data management and sharing. Currently,
there is considerable interest in developing new data spaces in Industry 4.0,
also accelerated through regulatory changes. However, key questions about what
precisely characterizes a data space in Industry 4.0 remain unresolved. Against
this backdrop, we build a taxonomy of data spaces in the Industry 4.0 context.
We identified nine distinctive dimensions and 40 corresponding characteristics
among the 19 data spaces analyzed. The taxonomy enables clearer classification
and nomenclature of data spaces in this context. This short paper will ignite
planned further research on data spaces in Industry 4.0 and contribute to a conceptualization
of a taxonomic theory for interested researchers.
author:
- first_name: Oliver
full_name: Werth, Oliver
last_name: Werth
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Mathias
full_name: Uslar, Mathias
last_name: Uslar
- first_name: Julian
full_name: Zerbin, Julian
id: '51711'
last_name: Zerbin
citation:
ama: 'Werth O, Koldewey C, Uslar M, Zerbin J. What Characterizes Data Spaces in
Industry 4.0? Towards a Better Understanding. In: Lecture Notes in Business
Information Processing. Springer Nature Switzerland; 2026. doi:10.1007/978-3-032-14518-5_3'
apa: Werth, O., Koldewey, C., Uslar, M., & Zerbin, J. (2026). What Characterizes
Data Spaces in Industry 4.0? Towards a Better Understanding. Lecture Notes
in Business Information Processing. 16th International Conference on Software
Business (ICSOB 2025), Stuttgart, Germany. https://doi.org/10.1007/978-3-032-14518-5_3
bibtex: '@inproceedings{Werth_Koldewey_Uslar_Zerbin_2026, place={Cham}, title={What
Characterizes Data Spaces in Industry 4.0? Towards a Better Understanding}, DOI={10.1007/978-3-032-14518-5_3},
booktitle={Lecture Notes in Business Information Processing}, publisher={Springer
Nature Switzerland}, author={Werth, Oliver and Koldewey, Christian and Uslar,
Mathias and Zerbin, Julian}, year={2026} }'
chicago: 'Werth, Oliver, Christian Koldewey, Mathias Uslar, and Julian Zerbin. “What
Characterizes Data Spaces in Industry 4.0? Towards a Better Understanding.” In
Lecture Notes in Business Information Processing. Cham: Springer Nature
Switzerland, 2026. https://doi.org/10.1007/978-3-032-14518-5_3.'
ieee: 'O. Werth, C. Koldewey, M. Uslar, and J. Zerbin, “What Characterizes Data
Spaces in Industry 4.0? Towards a Better Understanding,” presented at the 16th
International Conference on Software Business (ICSOB 2025), Stuttgart, Germany,
2026, doi: 10.1007/978-3-032-14518-5_3.'
mla: Werth, Oliver, et al. “What Characterizes Data Spaces in Industry 4.0? Towards
a Better Understanding.” Lecture Notes in Business Information Processing,
Springer Nature Switzerland, 2026, doi:10.1007/978-3-032-14518-5_3.
short: 'O. Werth, C. Koldewey, M. Uslar, J. Zerbin, in: Lecture Notes in Business
Information Processing, Springer Nature Switzerland, Cham, 2026.'
conference:
end_date: 2025-11-26
location: Stuttgart, Germany
name: 16th International Conference on Software Business (ICSOB 2025)
start_date: 2025-11-24
date_created: 2026-01-27T11:56:10Z
date_updated: 2026-03-18T07:12:49Z
department:
- _id: '563'
doi: 10.1007/978-3-032-14518-5_3
keyword:
- Industry 4.0
- Taxonomy
- Data spaces
- Characterization
language:
- iso: eng
place: Cham
publication: Lecture Notes in Business Information Processing
publication_identifier:
isbn:
- '9783032145178'
- '9783032145185'
issn:
- 1865-1348
- 1865-1356
publication_status: published
publisher: Springer Nature Switzerland
quality_controlled: '1'
status: public
title: What Characterizes Data Spaces in Industry 4.0? Towards a Better Understanding
type: conference
user_id: '51711'
year: '2026'
...
---
_id: '65036'
author:
- first_name: Tal
full_name: Cohen, Tal
last_name: Cohen
- first_name: Helge
full_name: Glöckner, Helge
id: '178'
last_name: Glöckner
- first_name: Gil
full_name: Goffer, Gil
last_name: Goffer
- first_name: Waltraud
full_name: Lederle, Waltraud
last_name: Lederle
citation:
ama: Cohen T, Glöckner H, Goffer G, Lederle W. Compact invariant random subgroups.
Published online 2026.
apa: Cohen, T., Glöckner, H., Goffer, G., & Lederle, W. (2026). Compact invariant
random subgroups.
bibtex: '@article{Cohen_Glöckner_Goffer_Lederle_2026, title={Compact invariant random
subgroups}, author={Cohen, Tal and Glöckner, Helge and Goffer, Gil and Lederle,
Waltraud}, year={2026} }'
chicago: Cohen, Tal, Helge Glöckner, Gil Goffer, and Waltraud Lederle. “Compact
Invariant Random Subgroups,” 2026.
ieee: T. Cohen, H. Glöckner, G. Goffer, and W. Lederle, “Compact invariant random
subgroups.” 2026.
mla: Cohen, Tal, et al. Compact Invariant Random Subgroups. 2026.
short: T. Cohen, H. Glöckner, G. Goffer, W. Lederle, (2026).
date_created: 2026-03-18T02:49:44Z
date_updated: 2026-03-18T02:50:18Z
department:
- _id: '10'
- _id: '87'
- _id: '93'
external_id:
arxiv:
- 'arXiv:2603.16022 '
language:
- iso: eng
status: public
title: Compact invariant random subgroups
type: preprint
user_id: '178'
year: '2026'
...
---
_id: '65101'
abstract:
- lang: eng
text: Various methods to measure the dynamic behavior of particles require the calculation
of autocorrelation functions. For this purpose, fast multi-tau correlators have
been developed in dedicated hardware, in software, and on FPGAs. However, for
methods such as X-ray Photon Correlation Spectroscopy (XPCS), which requires to
calculate the autocorrelation function independently for hundreds of thousands
to millions of pixels from high-resolution detectors, current approaches rely
on offline processing after data acquisition. Moreover, the internal pipeline
state of so many independent correlators is far too large to keep it on-chip.
In this work, we propose a design approach on FPGAs, where pipeline contexts are
stored in off-chip HBM memory. Each compute unit iteratively loads the state for
a single pixel, processes a short time series for this pixel, and afterwards writes
back the context in a dataflow pipeline. We have implemented the required compute
kernels with Vitis HLS and analyze resulting designs on an Alveo U280 card. The
design achieves the expected performance and for the first time provides sufficient
throughput for current high-end detectors used in XPCS.
author:
- first_name: Abdul Rehman
full_name: Tareen, Abdul Rehman
id: '76938'
last_name: Tareen
- first_name: Christian
full_name: Plessl, Christian
id: '16153'
last_name: Plessl
orcid: 0000-0001-5728-9982
- first_name: Tobias
full_name: Kenter, Tobias
id: '3145'
last_name: Kenter
citation:
ama: 'Tareen AR, Plessl C, Kenter T. Fast Multi-Tau Correlators on FPGA with Context
Switching From and to High- Bandwidth Memory. In: 2025 International Conference
on Field Programmable Technology (ICFPT). IEEE; 2026. doi:10.1109/icfpt67023.2025.00027'
apa: Tareen, A. R., Plessl, C., & Kenter, T. (2026). Fast Multi-Tau Correlators
on FPGA with Context Switching From and to High- Bandwidth Memory. 2025 International
Conference on Field Programmable Technology (ICFPT). https://doi.org/10.1109/icfpt67023.2025.00027
bibtex: '@inproceedings{Tareen_Plessl_Kenter_2026, title={Fast Multi-Tau Correlators
on FPGA with Context Switching From and to High- Bandwidth Memory}, DOI={10.1109/icfpt67023.2025.00027},
booktitle={2025 International Conference on Field Programmable Technology (ICFPT)},
publisher={IEEE}, author={Tareen, Abdul Rehman and Plessl, Christian and Kenter,
Tobias}, year={2026} }'
chicago: Tareen, Abdul Rehman, Christian Plessl, and Tobias Kenter. “Fast Multi-Tau
Correlators on FPGA with Context Switching From and to High- Bandwidth Memory.”
In 2025 International Conference on Field Programmable Technology (ICFPT).
IEEE, 2026. https://doi.org/10.1109/icfpt67023.2025.00027.
ieee: 'A. R. Tareen, C. Plessl, and T. Kenter, “Fast Multi-Tau Correlators on FPGA
with Context Switching From and to High- Bandwidth Memory,” 2026, doi: 10.1109/icfpt67023.2025.00027.'
mla: Tareen, Abdul Rehman, et al. “Fast Multi-Tau Correlators on FPGA with Context
Switching From and to High- Bandwidth Memory.” 2025 International Conference
on Field Programmable Technology (ICFPT), IEEE, 2026, doi:10.1109/icfpt67023.2025.00027.
short: 'A.R. Tareen, C. Plessl, T. Kenter, in: 2025 International Conference on
Field Programmable Technology (ICFPT), IEEE, 2026.'
date_created: 2026-03-24T09:02:22Z
date_updated: 2026-03-24T09:04:31Z
department:
- _id: '27'
- _id: '518'
doi: 10.1109/icfpt67023.2025.00027
language:
- iso: eng
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: 2025 International Conference on Field Programmable Technology (ICFPT)
publication_status: published
publisher: IEEE
status: public
title: Fast Multi-Tau Correlators on FPGA with Context Switching From and to High-
Bandwidth Memory
type: conference
user_id: '3145'
year: '2026'
...
---
_id: '65099'
author:
- first_name: Daniel
full_name: Weber, Daniel
last_name: Weber
- first_name: Dominik
full_name: Schmies, Dominik
last_name: Schmies
- first_name: Jarren H.
full_name: Lange, Jarren H.
last_name: Lange
- first_name: Maximilian
full_name: Schenke, Maximilian
last_name: Schenke
- first_name: Oliver
full_name: Wallscheid, Oliver
last_name: Wallscheid
citation:
ama: Weber D, Schmies D, Lange JH, Schenke M, Wallscheid O. Optimal Control of Voltage-Forming
Grid Inverters by Model Predictive Control and Reinforcement Learning. IEEE
Access. 2026;14:38517-38535. doi:10.1109/access.2026.3670948
apa: Weber, D., Schmies, D., Lange, J. H., Schenke, M., & Wallscheid, O. (2026).
Optimal Control of Voltage-Forming Grid Inverters by Model Predictive Control
and Reinforcement Learning. IEEE Access, 14, 38517–38535. https://doi.org/10.1109/access.2026.3670948
bibtex: '@article{Weber_Schmies_Lange_Schenke_Wallscheid_2026, title={Optimal Control
of Voltage-Forming Grid Inverters by Model Predictive Control and Reinforcement
Learning}, volume={14}, DOI={10.1109/access.2026.3670948},
journal={IEEE Access}, publisher={Institute of Electrical and Electronics Engineers
(IEEE)}, author={Weber, Daniel and Schmies, Dominik and Lange, Jarren H. and Schenke,
Maximilian and Wallscheid, Oliver}, year={2026}, pages={38517–38535} }'
chicago: 'Weber, Daniel, Dominik Schmies, Jarren H. Lange, Maximilian Schenke, and
Oliver Wallscheid. “Optimal Control of Voltage-Forming Grid Inverters by Model
Predictive Control and Reinforcement Learning.” IEEE Access 14 (2026):
38517–35. https://doi.org/10.1109/access.2026.3670948.'
ieee: 'D. Weber, D. Schmies, J. H. Lange, M. Schenke, and O. Wallscheid, “Optimal
Control of Voltage-Forming Grid Inverters by Model Predictive Control and Reinforcement
Learning,” IEEE Access, vol. 14, pp. 38517–38535, 2026, doi: 10.1109/access.2026.3670948.'
mla: Weber, Daniel, et al. “Optimal Control of Voltage-Forming Grid Inverters by
Model Predictive Control and Reinforcement Learning.” IEEE Access, vol.
14, Institute of Electrical and Electronics Engineers (IEEE), 2026, pp. 38517–35,
doi:10.1109/access.2026.3670948.
short: D. Weber, D. Schmies, J.H. Lange, M. Schenke, O. Wallscheid, IEEE Access
14 (2026) 38517–38535.
date_created: 2026-03-23T16:37:18Z
date_updated: 2026-03-23T16:37:24Z
department:
- _id: '34'
- _id: '52'
doi: 10.1109/access.2026.3670948
intvolume: ' 14'
language:
- iso: eng
page: 38517-38535
publication: IEEE Access
publication_identifier:
issn:
- 2169-3536
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Optimal Control of Voltage-Forming Grid Inverters by Model Predictive Control
and Reinforcement Learning
type: journal_article
user_id: '24041'
volume: 14
year: '2026'
...
---
_id: '65098'
author:
- first_name: Daniel
full_name: Weber, Daniel
last_name: Weber
- first_name: Jarren
full_name: Lange, Jarren
last_name: Lange
- first_name: Oliver
full_name: Wallscheid, Oliver
last_name: Wallscheid
citation:
ama: Weber D, Lange J, Wallscheid O. Reinforcement Learning-Based Control of Voltage-Forming
Grid Inverters With Arbitrary Loads. IEEE Journal of Emerging and Selected
Topics in Industrial Electronics. Published online 2026:1-12. doi:10.1109/jestie.2026.3654784
apa: Weber, D., Lange, J., & Wallscheid, O. (2026). Reinforcement Learning-Based
Control of Voltage-Forming Grid Inverters With Arbitrary Loads. IEEE Journal
of Emerging and Selected Topics in Industrial Electronics, 1–12. https://doi.org/10.1109/jestie.2026.3654784
bibtex: '@article{Weber_Lange_Wallscheid_2026, title={Reinforcement Learning-Based
Control of Voltage-Forming Grid Inverters With Arbitrary Loads}, DOI={10.1109/jestie.2026.3654784},
journal={IEEE Journal of Emerging and Selected Topics in Industrial Electronics},
publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Weber,
Daniel and Lange, Jarren and Wallscheid, Oliver}, year={2026}, pages={1–12} }'
chicago: Weber, Daniel, Jarren Lange, and Oliver Wallscheid. “Reinforcement Learning-Based
Control of Voltage-Forming Grid Inverters With Arbitrary Loads.” IEEE Journal
of Emerging and Selected Topics in Industrial Electronics, 2026, 1–12. https://doi.org/10.1109/jestie.2026.3654784.
ieee: 'D. Weber, J. Lange, and O. Wallscheid, “Reinforcement Learning-Based Control
of Voltage-Forming Grid Inverters With Arbitrary Loads,” IEEE Journal of Emerging
and Selected Topics in Industrial Electronics, pp. 1–12, 2026, doi: 10.1109/jestie.2026.3654784.'
mla: Weber, Daniel, et al. “Reinforcement Learning-Based Control of Voltage-Forming
Grid Inverters With Arbitrary Loads.” IEEE Journal of Emerging and Selected
Topics in Industrial Electronics, Institute of Electrical and Electronics
Engineers (IEEE), 2026, pp. 1–12, doi:10.1109/jestie.2026.3654784.
short: D. Weber, J. Lange, O. Wallscheid, IEEE Journal of Emerging and Selected
Topics in Industrial Electronics (2026) 1–12.
date_created: 2026-03-23T16:35:16Z
date_updated: 2026-03-23T16:35:24Z
department:
- _id: '34'
- _id: '52'
doi: 10.1109/jestie.2026.3654784
language:
- iso: eng
page: 1-12
publication: IEEE Journal of Emerging and Selected Topics in Industrial Electronics
publication_identifier:
issn:
- 2687-9735
- 2687-9743
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Reinforcement Learning-Based Control of Voltage-Forming Grid Inverters With
Arbitrary Loads
type: journal_article
user_id: '24041'
year: '2026'
...
---
_id: '65178'
abstract:
- lang: eng
text: "Large intermediate results can cause join queries to run unexpectedly long.
This problem is particularly common for analytical queries, which aggregate data
over many tables to produce a comparatively small final output, and queries on
graph data, where intermediate results blow up quickly. Recent work inspired by
Yannakakis’ algorithm approaches this by modifying the query engine to avoid materializing
unnecessary tuples. However, this requires significant changes to the core of
the system, which is not feasible in many situations such as cloud environments
or proprietary systems.\r\nIn this work, we propose a flexible approach for optimizing
long-running join queries from the outside of the DBMS. Rewriting-based realizations
of Yannakakis’ algorithm suffer from inherent overhead due to the creation of
intermediate tables. Thus, we present an approach for detecting and targeting
queries which would benefit from a Yannakakis-style optimization. We introduce
a new benchmark combining 5 standard benchmarks and augmenting them with additional
instances, which provides a sufficient size and diversity for a machine learning
based solution. On PostgreSQL, DuckDB and SparkSQL, slowdowns on queries where
the rewriting is counterproductive are mostly avoided, as opposed to a naïve application
of the rewriting, and we observe significant improvements in end-to-end runtimes
over standard query execution and unconditional rewriting."
author:
- first_name: Daniela
full_name: Böhm, Daniela
last_name: Böhm
- first_name: Georg
full_name: Gottlob, Georg
last_name: Gottlob
- first_name: Matthias
full_name: Lanzinger, Matthias
last_name: Lanzinger
- first_name: Davide Mario
full_name: Longo, Davide Mario
last_name: Longo
- first_name: Cem
full_name: Okulmus, Cem
id: '114410'
last_name: Okulmus
orcid: 0000-0002-7742-0439
- first_name: Reinhard
full_name: Pichler, Reinhard
last_name: Pichler
- first_name: Alexander
full_name: Selzer, Alexander
last_name: Selzer
citation:
ama: 'Böhm D, Gottlob G, Lanzinger M, et al. Selective Use of Yannakakis’ Algorithm
for Consistent Performance Gains. In: Proceedings of the 28th International
Workshop on Design, Optimization, Languages and Analytical Processing of Big Data
(DOLAP 2026). ; 2026.'
apa: Böhm, D., Gottlob, G., Lanzinger, M., Longo, D. M., Okulmus, C., Pichler, R.,
& Selzer, A. (2026). Selective Use of Yannakakis’ Algorithm for Consistent
Performance Gains. Proceedings of the 28th International Workshop on Design,
Optimization, Languages and Analytical Processing of Big Data (DOLAP 2026).
bibtex: '@inproceedings{Böhm_Gottlob_Lanzinger_Longo_Okulmus_Pichler_Selzer_2026,
place={Tampere, Finland}, title={Selective Use of Yannakakis’ Algorithm for Consistent
Performance Gains}, booktitle={Proceedings of the 28th International Workshop
on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP
2026)}, author={Böhm, Daniela and Gottlob, Georg and Lanzinger, Matthias and Longo,
Davide Mario and Okulmus, Cem and Pichler, Reinhard and Selzer, Alexander}, year={2026}
}'
chicago: Böhm, Daniela, Georg Gottlob, Matthias Lanzinger, Davide Mario Longo, Cem
Okulmus, Reinhard Pichler, and Alexander Selzer. “Selective Use of Yannakakis’
Algorithm for Consistent Performance Gains.” In Proceedings of the 28th International
Workshop on Design, Optimization, Languages and Analytical Processing of Big Data
(DOLAP 2026). Tampere, Finland, 2026.
ieee: D. Böhm et al., “Selective Use of Yannakakis’ Algorithm for Consistent
Performance Gains,” 2026.
mla: Böhm, Daniela, et al. “Selective Use of Yannakakis’ Algorithm for Consistent
Performance Gains.” Proceedings of the 28th International Workshop on Design,
Optimization, Languages and Analytical Processing of Big Data (DOLAP 2026),
2026.
short: 'D. Böhm, G. Gottlob, M. Lanzinger, D.M. Longo, C. Okulmus, R. Pichler, A.
Selzer, in: Proceedings of the 28th International Workshop on Design, Optimization,
Languages and Analytical Processing of Big Data (DOLAP 2026), Tampere, Finland,
2026.'
date_created: 2026-03-27T15:20:54Z
date_updated: 2026-03-27T15:22:01Z
department:
- _id: '888'
keyword:
- Join Queries
- Acyclic Queries
- Query Processing
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://ceur-ws.org/Vol-4186/paper2.pdf
oa: '1'
place: Tampere, Finland
publication: Proceedings of the 28th International Workshop on Design, Optimization,
Languages and Analytical Processing of Big Data (DOLAP 2026)
status: public
title: Selective Use of Yannakakis’ Algorithm for Consistent Performance Gains
type: conference
user_id: '114410'
year: '2026'
...
---
_id: '57580'
abstract:
- lang: eng
text: We investigate dispersive and Strichartz estimates for the Schrödinger equation
involving the fractional Laplacian in real hyperbolic spaces and their discrete
analogues, homogeneous trees. Due to the Knapp phenomenon, the Strichartz estimates
on Euclidean spaces for the fractional Laplacian exhibit loss of derivatives.
A similar phenomenon appears on real hyperbolic spaces. However, such a loss disappears
on homogeneous trees, due to the triviality of the estimates for small times.
author:
- first_name: Guendalina
full_name: Palmirotta, Guendalina
id: '109467'
last_name: Palmirotta
- first_name: Yannick
full_name: Sire, Yannick
last_name: Sire
- first_name: Jean-Philippe
full_name: Anker, Jean-Philippe
last_name: Anker
citation:
ama: Palmirotta G, Sire Y, Anker J-P. The Schrödinger equation with fractional Laplacian
on hyperbolic spaces and homogeneous trees. Journal of Differential Equations.
Published online 2026. doi:10.1016/j.jde.2025.114065
apa: Palmirotta, G., Sire, Y., & Anker, J.-P. (2026). The Schrödinger equation
with fractional Laplacian on hyperbolic spaces and homogeneous trees. Journal
of Differential Equations. https://doi.org/10.1016/j.jde.2025.114065
bibtex: '@article{Palmirotta_Sire_Anker_2026, title={The Schrödinger equation with
fractional Laplacian on hyperbolic spaces and homogeneous trees}, DOI={10.1016/j.jde.2025.114065},
journal={Journal of Differential Equations}, publisher={Elsevier}, author={Palmirotta,
Guendalina and Sire, Yannick and Anker, Jean-Philippe}, year={2026} }'
chicago: Palmirotta, Guendalina, Yannick Sire, and Jean-Philippe Anker. “The Schrödinger
Equation with Fractional Laplacian on Hyperbolic Spaces and Homogeneous Trees.”
Journal of Differential Equations, 2026. https://doi.org/10.1016/j.jde.2025.114065.
ieee: 'G. Palmirotta, Y. Sire, and J.-P. Anker, “The Schrödinger equation with fractional
Laplacian on hyperbolic spaces and homogeneous trees,” Journal of Differential
Equations, 2026, doi: 10.1016/j.jde.2025.114065.'
mla: Palmirotta, Guendalina, et al. “The Schrödinger Equation with Fractional Laplacian
on Hyperbolic Spaces and Homogeneous Trees.” Journal of Differential Equations,
Elsevier, 2026, doi:10.1016/j.jde.2025.114065.
short: G. Palmirotta, Y. Sire, J.-P. Anker, Journal of Differential Equations (2026).
date_created: 2024-12-04T16:21:38Z
date_updated: 2026-03-30T12:03:37Z
department:
- _id: '10'
- _id: '548'
doi: 10.1016/j.jde.2025.114065
external_id:
arxiv:
- '2412.00780'
keyword:
- Schrödinger equation
- Fractional Laplacian
- Dispersive estimates
- Strichartz estimates
- Real hyperbolic spaces
- Homogeneous trees
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1016/j.jde.2025.114065
oa: '1'
project:
- _id: '356'
name: 'TRR 358 - B02: TRR 358 - Spektraltheorie in höherem Rang und unendlichem
Volumen (Teilprojekt B02)'
publication: Journal of Differential Equations
publication_status: published
publisher: Elsevier
related_material:
link:
- relation: confirmation
url: https://www.sciencedirect.com/science/article/pii/S0022039625010927?via%3Dihub
status: public
title: The Schrödinger equation with fractional Laplacian on hyperbolic spaces and
homogeneous trees
type: journal_article
user_id: '109467'
year: '2026'
...
---
_id: '65232'
abstract:
- lang: eng
text: On finite regular graphs, we construct Patterson-Sullivan distributions associated
with eigenfunctions of the discrete Laplace operator via their boundary values
on the phase space. These distributions are closely related to Wigner distributions
defined via a pseudo-differential calculus on graphs, which appear naturally in
the study of quantum chaos. Using a pairing formula, we prove that Patterson-Sullivan
distributions are also related to invariant Ruelle distributions arising from
the transfer operator of the geodesic flow on the shift space. Both relationships
provide discrete analogues of results for compact hyperbolic surfaces obtained
by Anantharaman-Zelditch and by Guillarmou-Hilgert-Weich.
author:
- first_name: Christian
full_name: Arends, Christian
last_name: Arends
- first_name: Guendalina
full_name: Palmirotta, Guendalina
id: '109467'
last_name: Palmirotta
citation:
ama: Arends C, Palmirotta G. Patterson-Sullivan distributions of finite regular
graphs. arXiv:260309779. Published online 2026.
apa: Arends, C., & Palmirotta, G. (2026). Patterson-Sullivan distributions of
finite regular graphs. In arXiv:2603.09779.
bibtex: '@article{Arends_Palmirotta_2026, title={Patterson-Sullivan distributions
of finite regular graphs}, journal={arXiv:2603.09779}, author={Arends, Christian
and Palmirotta, Guendalina}, year={2026} }'
chicago: Arends, Christian, and Guendalina Palmirotta. “Patterson-Sullivan Distributions
of Finite Regular Graphs.” ArXiv:2603.09779, 2026.
ieee: C. Arends and G. Palmirotta, “Patterson-Sullivan distributions of finite regular
graphs,” arXiv:2603.09779. 2026.
mla: Arends, Christian, and Guendalina Palmirotta. “Patterson-Sullivan Distributions
of Finite Regular Graphs.” ArXiv:2603.09779, 2026.
short: C. Arends, G. Palmirotta, ArXiv:2603.09779 (2026).
date_created: 2026-03-30T11:56:04Z
date_updated: 2026-03-30T12:02:56Z
department:
- _id: '548'
- _id: '10'
- _id: '34'
external_id:
arxiv:
- '2603.09779'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2603.09779
oa: '1'
page: '38'
project:
- _id: '358'
name: 'TRR 358; TP B04: Geodätische Flüsse und Weyl Kammer Flüsse auf affinen Gebäuden'
publication: arXiv:2603.09779
status: public
title: Patterson-Sullivan distributions of finite regular graphs
type: preprint
user_id: '109467'
year: '2026'
...
---
_id: '65242'
abstract:
- lang: eng
text: "Abstract\r\n With the growing
demand for lightweight solutions to reduce emissions, especially in the transportation,
automotive and aerospace sectors, recyclable, continuous fiber-reinforced plastic
composite laminates with a thermoplastic matrix are of rising interest. To achieve
their maximum mechanical properties, the fiber-matrix adhesion (FMA) is critical.
In this work, continuous fiber-reinforced thermoplastic laminates (CFRTPL) with
a polypropylene (PP) matrix and twill woven glass fiber fabrics are produced by
film stacking. The films used contain different amounts of maleic-anhydride-grafted
PP (MA-g-PP) as a coupling agent to produce CFRTPL of different mechanical strengths.
To analyze the FMA, the CFRTPL are subjected to Charpy-impact and tensile tests.
Additionally, single fiber pull-out tests (SFPT) are conducted to further investigate
the effect of MA-g-PP on the FMA. The results of the SFPT show an improvement
in apparent interfacial shear strength (AIFSS) when the MA-g-PP content is increased,
which can be attributed to an increase in FMA. However, the research shows that
MA-g-PP has a low impact on the mechanical properties if the force is applied
parallel to the warp and weft threads during tensile testing and the results of
the Charpy-impact testing suffer from embrittlement of the matrix material. Subsequently,
the results of this study are compared to three-point flexural tests conducted
in a previous study. It can be concluded that tensile and impact tests are not
suited to investigate FMA on a macroscopic scale, while SFPT and flexural tests
provide a better alternative."
author:
- first_name: Elmar
full_name: Moritzer, Elmar
id: '20531'
last_name: Moritzer
- first_name: Philipp
full_name: Brandes, Philipp
id: '70091'
last_name: Brandes
orcid: 0009-0005-9707-0885
- first_name: Maurice
full_name: Wittler, Maurice
id: '76071'
last_name: Wittler
- first_name: Leander
full_name: Claes, Leander
id: '11829'
last_name: Claes
orcid: 0000-0002-4393-268X
- first_name: Mareen
full_name: Wippermann, Mareen
id: '74624'
last_name: Wippermann
- first_name: Markus
full_name: Haag, Markus
last_name: Haag
- first_name: Thomas
full_name: Gries, Thomas
last_name: Gries
- first_name: Bernd
full_name: Henning, Bernd
id: '213'
last_name: Henning
citation:
ama: Moritzer E, Brandes P, Wittler M, et al. Fiber-matrix adhesion in glass fiber
reinforced thermoplastic composite laminates and its effect on mechanical properties.
International Polymer Processing. Published online 2026. doi:10.1515/ipp-2025-0077
apa: Moritzer, E., Brandes, P., Wittler, M., Claes, L., Wippermann, M., Haag, M.,
Gries, T., & Henning, B. (2026). Fiber-matrix adhesion in glass fiber reinforced
thermoplastic composite laminates and its effect on mechanical properties. International
Polymer Processing. https://doi.org/10.1515/ipp-2025-0077
bibtex: '@article{Moritzer_Brandes_Wittler_Claes_Wippermann_Haag_Gries_Henning_2026,
title={Fiber-matrix adhesion in glass fiber reinforced thermoplastic composite
laminates and its effect on mechanical properties}, DOI={10.1515/ipp-2025-0077},
journal={International Polymer Processing}, publisher={Walter de Gruyter GmbH},
author={Moritzer, Elmar and Brandes, Philipp and Wittler, Maurice and Claes, Leander
and Wippermann, Mareen and Haag, Markus and Gries, Thomas and Henning, Bernd},
year={2026} }'
chicago: Moritzer, Elmar, Philipp Brandes, Maurice Wittler, Leander Claes, Mareen
Wippermann, Markus Haag, Thomas Gries, and Bernd Henning. “Fiber-Matrix Adhesion
in Glass Fiber Reinforced Thermoplastic Composite Laminates and Its Effect on
Mechanical Properties.” International Polymer Processing, 2026. https://doi.org/10.1515/ipp-2025-0077.
ieee: 'E. Moritzer et al., “Fiber-matrix adhesion in glass fiber reinforced
thermoplastic composite laminates and its effect on mechanical properties,” International
Polymer Processing, 2026, doi: 10.1515/ipp-2025-0077.'
mla: Moritzer, Elmar, et al. “Fiber-Matrix Adhesion in Glass Fiber Reinforced Thermoplastic
Composite Laminates and Its Effect on Mechanical Properties.” International
Polymer Processing, Walter de Gruyter GmbH, 2026, doi:10.1515/ipp-2025-0077.
short: E. Moritzer, P. Brandes, M. Wittler, L. Claes, M. Wippermann, M. Haag, T.
Gries, B. Henning, International Polymer Processing (2026).
date_created: 2026-03-30T14:14:33Z
date_updated: 2026-03-30T14:15:31Z
department:
- _id: '9'
- _id: '321'
- _id: '367'
- _id: '34'
- _id: '49'
doi: 10.1515/ipp-2025-0077
language:
- iso: eng
publication: International Polymer Processing
publication_identifier:
issn:
- 0930-777X
- 2195-8602
publication_status: published
publisher: Walter de Gruyter GmbH
quality_controlled: '1'
status: public
title: Fiber-matrix adhesion in glass fiber reinforced thermoplastic composite laminates
and its effect on mechanical properties
type: journal_article
user_id: '59363'
year: '2026'
...
---
_id: '63530'
abstract:
- lang: eng
text: 'The widespread deployment of 5G networks, together with the coexistence of
4G/LTE networks, provides mobile devices a diverse set of candidate cells to connect
to. However, associating mobile devices to cells to maximize overall network performance,
a.k.a. cell (re)selection, remains a key challenge for mobile operators. Today,
cell (re)selection parameters are typically configured manually based on operator
experience and rarely adapted to dynamic network conditions. In this work, we
ask: Can an agent automatically learn and adapt cell (re)selection parameters
to consistently improve network performance? We present a reinforcement learning
(RL)-based framework called CellPilot that adaptively tunes cell (re)selection
parameters by learning spatiotemporal patterns of mobile network dynamics. Our
study with real-world data demonstrates that even a lightweight RL agent can outperform
conventional heuristic reconfigurations by up to 167%, while generalizing effectively
across different network scenarios. These results indicate that data-driven approaches
can significantly improve cell (re)selection configurations and enhance mobile
network performance.'
author:
- first_name: Marvin
full_name: Illian, Marvin
id: '44169'
last_name: Illian
orcid: 0009-0007-2992-8346
- first_name: Ramin
full_name: Khalili, Ramin
last_name: Khalili
- first_name: Antonio A. de A.
full_name: Rocha, Antonio A. de A.
last_name: Rocha
- first_name: Lin
full_name: Wang, Lin
id: '102868'
last_name: Wang
orcid: 0000-0001-7181-6128
citation:
ama: 'Illian M, Khalili R, Rocha AA de A, Wang L. Cells on Autopilot: Adaptive Cell
(Re)Selection via Reinforcement Learning. arXiv:260104083. Published online
2026.'
apa: 'Illian, M., Khalili, R., Rocha, A. A. de A., & Wang, L. (2026). Cells
on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning. In arXiv:2601.04083.'
bibtex: '@article{Illian_Khalili_Rocha_Wang_2026, title={Cells on Autopilot: Adaptive
Cell (Re)Selection via Reinforcement Learning}, journal={arXiv:2601.04083}, author={Illian,
Marvin and Khalili, Ramin and Rocha, Antonio A. de A. and Wang, Lin}, year={2026}
}'
chicago: 'Illian, Marvin, Ramin Khalili, Antonio A. de A. Rocha, and Lin Wang. “Cells
on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning.” ArXiv:2601.04083,
2026.'
ieee: 'M. Illian, R. Khalili, A. A. de A. Rocha, and L. Wang, “Cells on Autopilot:
Adaptive Cell (Re)Selection via Reinforcement Learning,” arXiv:2601.04083.
2026.'
mla: 'Illian, Marvin, et al. “Cells on Autopilot: Adaptive Cell (Re)Selection via
Reinforcement Learning.” ArXiv:2601.04083, 2026.'
short: M. Illian, R. Khalili, A.A. de A. Rocha, L. Wang, ArXiv:2601.04083 (2026).
date_created: 2026-01-08T07:58:22Z
date_updated: 2026-03-31T06:44:22Z
department:
- _id: '75'
external_id:
arxiv:
- '2601.04083'
language:
- iso: eng
publication: arXiv:2601.04083
status: public
title: 'Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning'
type: preprint
user_id: '102868'
year: '2026'
...
---
_id: '65249'
author:
- first_name: Huzaifa
full_name: Shaaban KabakiboKabakibo, Huzaifa
last_name: Shaaban KabakiboKabakibo
- first_name: Animesh
full_name: Trivedi, Animesh
last_name: Trivedi
- first_name: Lin
full_name: Wang, Lin
id: '102868'
last_name: Wang
orcid: 0000-0001-7181-6128
citation:
ama: 'Shaaban KabakiboKabakibo H, Trivedi A, Wang L. Breaking the Ice: Analyzing
Cold Start Latency in vLLM. In: The 9th Annual Conference on Machine Learning
and Systems (MLSys). ; 2026.'
apa: 'Shaaban KabakiboKabakibo, H., Trivedi, A., & Wang, L. (2026). Breaking
the Ice: Analyzing Cold Start Latency in vLLM. The 9th Annual Conference on
Machine Learning and Systems (MLSys). The 9th Annual Conference on Machine
Learning and Systems (MLSys 2026) , Bellevue, WA.'
bibtex: '@inproceedings{Shaaban KabakiboKabakibo_Trivedi_Wang_2026, title={Breaking
the Ice: Analyzing Cold Start Latency in vLLM}, booktitle={The 9th Annual Conference
on Machine Learning and Systems (MLSys)}, author={Shaaban KabakiboKabakibo, Huzaifa
and Trivedi, Animesh and Wang, Lin}, year={2026} }'
chicago: 'Shaaban KabakiboKabakibo, Huzaifa, Animesh Trivedi, and Lin Wang. “Breaking
the Ice: Analyzing Cold Start Latency in VLLM.” In The 9th Annual Conference
on Machine Learning and Systems (MLSys), 2026.'
ieee: 'H. Shaaban KabakiboKabakibo, A. Trivedi, and L. Wang, “Breaking the Ice:
Analyzing Cold Start Latency in vLLM,” presented at the The 9th Annual Conference
on Machine Learning and Systems (MLSys 2026) , Bellevue, WA, 2026.'
mla: 'Shaaban KabakiboKabakibo, Huzaifa, et al. “Breaking the Ice: Analyzing Cold
Start Latency in VLLM.” The 9th Annual Conference on Machine Learning and Systems
(MLSys), 2026.'
short: 'H. Shaaban KabakiboKabakibo, A. Trivedi, L. Wang, in: The 9th Annual Conference
on Machine Learning and Systems (MLSys), 2026.'
conference:
end_date: 2026-05-22
location: Bellevue, WA
name: 'The 9th Annual Conference on Machine Learning and Systems (MLSys 2026) '
start_date: 2026-05-18
date_created: 2026-03-31T06:34:37Z
date_updated: 2026-03-31T06:41:10Z
department:
- _id: '34'
- _id: '7'
- _id: '75'
language:
- iso: eng
publication: The 9th Annual Conference on Machine Learning and Systems (MLSys)
status: public
title: 'Breaking the Ice: Analyzing Cold Start Latency in vLLM'
type: conference
user_id: '102868'
year: '2026'
...