@article{64297,
  author       = {{Lindemann, Markus (ORCiD: 0000-0002-2660-3497) and Gerhardt, Nils C. (ORCiD: 0009-0002-5538-231X) and Hofmann, Martin R. (ORCiD: 0000-0003-1265-0003) and Shchukin, V. A. and Ledentsov, N. N. and Makarov, O. Y. and Zerova, V. and D’Alessandro, M. and Tibaldi, A. and Turkiewicz, J. P.}},
  title        = {{{Study of Electrically Excited Photon-Photon Resonances in Self-Injection-Locked Coupled-Cavity VCSELs}}},
  year         = {{2024}},
}

@inproceedings{52235,
  abstract     = {{Android applications collecting data from users must protect it according to the current legal frameworks. Such data protection has become even more important since the European Union rolled out the General Data Protection Regulation (GDPR). Since app developers are not legal experts, they find it difficult to write privacy-aware source code. Moreover, they have limited tool support to reason about data protection throughout their app development process.
This paper motivates the need for a static analysis approach to diagnose and explain data protection in Android apps. The analysis will recognize personal data sources in the source code, and aims to further examine the data flow originating from these sources. App developers can then address key questions about data manipulation, derived data, and the presence of technical measures. Despite challenges, we explore to what extent one can realize this analysis through static taint analysis, a common method for identifying security vulnerabilities. This is a first step towards designing a tool-based approach that aids app developers and assessors in ensuring data protection in Android apps, based on automated static program analysis. }},
  author       = {{Khedkar, Mugdha and Bodden, Eric}},
  booktitle    = {{Proceedings of the IEEE/ACM 11th International Conference on Mobile Software Engineering and Systems (MOBILESoft '24). Association for Computing Machinery, New York, NY, USA, 65–68.}},
  keywords     = {{static program analysis, data protection and privacy, GDPR compliance}},
  location     = {{Lisbon, Portugal}},
  title        = {{{Toward an Android Static Analysis Approach for Data Protection}}},
  doi          = {{10.1145/3647632.3651389}},
  year         = {{2024}},
}

@misc{57094,
  author       = {{Kruse, Stephan and Scheytt, J. Christoph}},
  title        = {{{Elektrooptische PLL}}},
  year         = {{2024}},
}

@techreport{57161,
  author       = {{Werning, Alexander and Haeb-Umbach, Reinhold}},
  title        = {{{UPB-NT submission to DCASE24: Dataset pruning for targeted knowledge distillation}}},
  year         = {{2024}},
}

@inproceedings{56137,
  abstract     = {{Many Android applications collect data from users. The European Union's General Data Protection Regulation (GDPR) requires vendors to faithfully disclose which data their apps collect. This task is complicated because many apps use third-party code for which the same information is not readily available. Hence we ask: how accurately do current Android apps fulfill these requirements?
In this work, we first expose a multi-layered definition of privacy-related data to correctly report data collection in Android apps. We further create a dataset of privacy-sensitive data classes that may be used as input by an Android app. This dataset takes into account data collected both through the user interface and system APIs.
We manually examine the data safety sections of 70 Android apps to observe how data collection is reported, identifying instances of over- and under-reporting. Additionally, we develop a prototype to statically extract and label privacy-related data collected via app source code, user interfaces, and permissions. Comparing the prototype's results with the data safety sections of 20 apps reveals reporting discrepancies. Using the results from two Messaging and Social Media apps (Signal and Instagram), we discuss how app developers under-report and over-report data collection, respectively, and identify inaccurately reported data categories.
Our results show that app developers struggle to accurately report data collection, either due to Google's abstract definition of collected data or insufficient existing tool support. }},
  author       = {{Khedkar, Mugdha and Mondal, Ambuj Kumar and Bodden, Eric}},
  booktitle    = {{In Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW ’24)}},
  location     = {{Sacramento, California}},
  title        = {{{Do Android App Developers Accurately Report Collection of Privacy-Related Data?}}},
  doi          = {{10.1145/3691621.3694949}},
  year         = {{2024}},
}

@article{53622,
  abstract     = {{<jats:p>In K-12 computing education, there is a need to identify and teach concepts that are relevant to understanding machine learning technologies. Studies of teaching approaches often evaluate whether students have learned the concepts. However, scant research has examined whether such concepts support understanding digital artefacts from everyday life and developing agency in a digital world. This paper presents a qualitative study that explores students’ perspectives on the relevance of learning concepts of data-driven technologies for navigating the digital world. The underlying approach of the study is data awareness, which aims to support students in understanding and reflecting on such technologies to develop agency in a data-driven world. This approach teaches students an explanatory model encompassing several concepts of the role of data in data-driven technologies. We developed an intervention and conducted retrospective interviews with students. Findings from the analysis of the interviews indicate that students can analyse and understand data-driven technologies from their everyday lives according to the central role of data. In addition, students’ answers revealed four areas of how learning about data-driven technologies becomes relevant to them. The paper concludes with a preliminary model suggesting how computing education can make concepts of data-driven technologies meaningful for students to understand and navigate the digital world.</jats:p>}},
  author       = {{Höper, Lukas and Schulte, Carsten}},
  issn         = {{1648-5831}},
  journal      = {{Informatics in Education}},
  keywords     = {{Computer Science Applications, Communication, Education, General Engineering}},
  publisher    = {{Vilnius University Press}},
  title        = {{{Empowering Students for the Data-Driven World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies}}},
  doi          = {{10.15388/infedu.2024.19}},
  year         = {{2024}},
}

@inproceedings{57209,
  author       = {{Höper, Lukas and Schulte, Carsten}},
  booktitle    = {{Proceedings of the 24th Koli Calling International Conference on Computing Education Research}},
  location     = {{Koli, Finnland}},
  publisher    = {{ACM}},
  title        = {{{New Perspectives on the Future of Computing Education: Teaching and Learning Explanatory Models}}},
  doi          = {{10.1145/3699538.3699558}},
  year         = {{2024}},
}

@inproceedings{55481,
  author       = {{Höper, Lukas and Schulte, Carsten and Mühling, Andreas}},
  booktitle    = {{Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1}},
  location     = {{Mailand, Italien}},
  publisher    = {{ACM}},
  title        = {{{Students' Motivation and Intention to Engage with Data-Driven Technologies from a CS Perspective in Everyday Life}}},
  doi          = {{10.1145/3649217.3653625}},
  year         = {{2024}},
}

@inproceedings{55656,
  author       = {{Höper, Lukas and Schulte, Carsten and Mühling, Andreas}},
  booktitle    = {{Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 1}},
  publisher    = {{ACM}},
  title        = {{{Learning an Explanatory Model of Data-Driven Technologies can Lead to Empowered Behavior: A Mixed-Methods Study in K-12 Computing Education}}},
  doi          = {{10.1145/3632620.3671118}},
  volume       = {{10}},
  year         = {{2024}},
}

@inproceedings{57099,
  author       = {{Xie, Yuying and Kuhlmann, Michael and Rautenberg, Frederik and Tan, Zheng-Hua and Häb-Umbach, Reinhold}},
  booktitle    = {{2024 32nd European Signal Processing Conference (EUSIPCO)}},
  pages        = {{436–440}},
  title        = {{{Speaker and Style Disentanglement of Speech Based on Contrastive Predictive Coding Supported Factorized Variational Autoencoder}}},
  year         = {{2024}},
}

@inproceedings{57109,
  author       = {{Grote, Eva-Maria and Wilke, Daria and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{2024 IEEE International Symposium on Systems Engineering (ISSE)}},
  location     = {{Perugia}},
  publisher    = {{IEEE}},
  title        = {{{Roleplaying made easy – A Meta-model for Roles in Systems Engineering}}},
  doi          = {{10.1109/isse63315.2024.10741132}},
  year         = {{2024}},
}

@inproceedings{57110,
  author       = {{Koldewey, Christian and Ebel, Martin and Winter, Johannes and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the 57th Hawaii International Conference on System Sciences}},
  location     = {{Hawaii}},
  title        = {{{Data-driven Services and Servitization in Manufacturing: Innovation, Engineering, Transformation, and Management}}},
  year         = {{2024}},
}

@unpublished{56429,
  abstract     = {{It is known that the notion of a transitive subgroup of a permutation group
$P$ extends naturally to the subsets of $P$. We study transitive subsets of the
wreath product $G \wr S_n$, where $G$ is a finite abelian group. This includes
the hyperoctahedral group for $G=C_2$. We give structural characterisations of
transitive subsets using the character theory of $G \wr S_n$ and interpret such
subsets as designs in the conjugacy class association scheme of $G \wr S_n$. In
particular, we prove a generalisation of the Livingstone-Wagner theorem and
give explicit constructions of transitive sets. Moreover, we establish
connections to orthogonal polynomials, namely the Charlier polynomials, and use
them to study codes and designs in $C_r \wr S_n$. Many of our results extend
results about the symmetric group $S_n$.}},
  author       = {{Klawuhn, Lukas-André Dominik and Schmidt, Kai-Uwe}},
  booktitle    = {{arXiv:2409.20495}},
  pages        = {{38}},
  title        = {{{Transitivity in wreath products with symmetric groups}}},
  year         = {{2024}},
}

@inproceedings{57107,
  author       = {{Kress, Christian and Schwabe, Tobias and Mihaylov, Martin Miroslavov and Silberhorn, Christine and Scheytt, J. Christoph}},
  location     = {{Paderborn}},
  title        = {{{Integrated Pulse Generator for Photon Pair Generation using Lithium Niobate on Insulator Technology}}},
  year         = {{2024}},
}

@misc{57095,
  author       = {{Kruse, Stephan and Scheytt, J. Christoph and Kurz, Heiko Gustav, and Schwabe, Tobias and Meinecke, Marc-Michael}},
  title        = {{{Mehrband-Software-Defined-Radio-System zur Umfelderfassung, sowie Verfahren und Kraftfahrzeug}}},
  year         = {{2024}},
}

@misc{57090,
  author       = {{Kruse, Stephan and Scheytt, J. Christoph and Meinecke, Marc-Michael and Kurz, Heiko Gustav}},
  title        = {{{Funk-Optisches Sensorsystem für die Umfelderfassung}}},
  year         = {{2024}},
}

@misc{57093,
  author       = {{Kruse, Stephan and Scheytt, J. Christoph and Meinecke, Marc-Michael and Aal, Andreas and Kurz, Heiko}},
  title        = {{{Radarsystem mit CMOS-Elektronikkomponenten}}},
  year         = {{2024}},
}

@misc{57091,
  author       = {{Scheytt, J. Christoph and Schwabe, Tobias}},
  title        = {{{Integriertes optisches Spektrometer}}},
  year         = {{2024}},
}

@misc{57092,
  author       = {{Kruse, Stephan and Scheytt, J. Christoph}},
  title        = {{{Optoelektronischer Oszillator}}},
  year         = {{2024}},
}

@inproceedings{57111,
  author       = {{Mihaylov, Martin Miroslavov and Kress, Christian and Scheytt, J. Christoph}},
  location     = {{Paderborn}},
  title        = {{{Simulation and Optimization of Low-Loss Photonic Coupling  Structures for TFLN Integrated Circuits for Quantum Applications}}},
  year         = {{2024}},
}