[{"publication_status":"published","date_updated":"2026-09-30T09:51:23Z","status":"public","year":"2025","title":"Lernfelddidaktik im Psychologieunterricht an berufsbildenden Schulen","publication_identifier":{"eisbn":["978-3-662-69481-7"],"isbn":["978-3-662-69480-1"]},"author":[{"last_name":"Bender","first_name":"Elena","full_name":"Bender, Elena","id":"3211"},{"first_name":"Maia","last_name":"Iobidze","full_name":"Iobidze, Maia"}],"user_id":"451","editor":[{"full_name":"Scharlau, Ingrid","last_name":"Scharlau","first_name":"Ingrid"},{"full_name":"Bender, Elena","last_name":"Bender","first_name":"Elena"},{"last_name":"Patrzek","first_name":"Justine","full_name":"Patrzek, Justine"},{"last_name":"Schreiber","first_name":"Christine","full_name":"Schreiber, Christine"}],"page":"55-88","_id":"67281","publisher":"Springer Nature","language":[{"iso":"ger"}],"extern":"1","publication":"Psychologiedidaktik an allgemeinbildenden und beruflichen Schulen: Ein Lehrbuch mit Unterrichtsmaterialien ","citation":{"chicago":"Bender, Elena, and Maia Iobidze. “Lernfelddidaktik im Psychologieunterricht an berufsbildenden Schulen.” In <i>Psychologiedidaktik an allgemeinbildenden und beruflichen Schulen: Ein Lehrbuch mit Unterrichtsmaterialien </i>, edited by Ingrid Scharlau, Elena Bender, Justine Patrzek, and Christine Schreiber, 55–88. Berlin: Springer Nature, 2025.","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.","apa":"Bender, E., &#38; Iobidze, M. (2025). Lernfelddidaktik im Psychologieunterricht an berufsbildenden Schulen. In I. Scharlau, E. Bender, J. Patrzek, &#38; C. Schreiber (Eds.), <i>Psychologiedidaktik an allgemeinbildenden und beruflichen Schulen: Ein Lehrbuch mit Unterrichtsmaterialien </i> (pp. 55–88). Springer Nature.","ieee":"E. Bender and M. Iobidze, “Lernfelddidaktik im Psychologieunterricht an berufsbildenden Schulen,” in <i>Psychologiedidaktik an allgemeinbildenden und beruflichen Schulen: Ein Lehrbuch mit Unterrichtsmaterialien </i>, I. Scharlau, E. Bender, J. Patrzek, and C. Schreiber, Eds. Berlin: Springer Nature, 2025, pp. 55–88.","ama":"Bender E, Iobidze M. Lernfelddidaktik im Psychologieunterricht an berufsbildenden Schulen. In: Scharlau I, Bender E, Patrzek J, Schreiber C, eds. <i>Psychologiedidaktik an allgemeinbildenden und beruflichen Schulen: Ein Lehrbuch mit Unterrichtsmaterialien </i>. Springer Nature; 2025:55-88.","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} }","mla":"Bender, Elena, and Maia Iobidze. “Lernfelddidaktik im Psychologieunterricht an berufsbildenden Schulen.” <i>Psychologiedidaktik an allgemeinbildenden und beruflichen Schulen: Ein Lehrbuch mit Unterrichtsmaterialien </i>, edited by Ingrid Scharlau et al., Springer Nature, 2025, pp. 55–88."},"type":"book_chapter","keyword":["Unterrichtsfach Psychologie","Psychologiedidaktik"],"date_created":"2026-09-30T09:48:48Z","place":"Berlin"},{"quality_controlled":"1","file_date_updated":"2026-10-01T11:24:57Z","citation":{"ama":"Amakor AC, Sonntag K, Peitz S. A multiobjective continuation method to compute the regularization path of deep neural networks. <i>Machine Learning with Applications</i>. 2025;19. doi:<a href=\"https://doi.org/10.1016/j.mlwa.2025.100625\">10.1016/j.mlwa.2025.100625</a>","bibtex":"@article{Amakor_Sonntag_Peitz_2025, title={A multiobjective continuation method to compute the regularization path of deep neural networks}, volume={19}, DOI={<a href=\"https://doi.org/10.1016/j.mlwa.2025.100625\">10.1016/j.mlwa.2025.100625</a>}, number={100625}, journal={Machine Learning with Applications}, publisher={Elsevier}, author={Amakor, Augustina Chidinma and Sonntag, Konstantin and Peitz, Sebastian}, year={2025} }","mla":"Amakor, Augustina Chidinma, et al. “A Multiobjective Continuation Method to Compute the Regularization Path of Deep Neural Networks.” <i>Machine Learning with Applications</i>, vol. 19, 100625, Elsevier, 2025, doi:<a href=\"https://doi.org/10.1016/j.mlwa.2025.100625\">10.1016/j.mlwa.2025.100625</a>.","chicago":"Amakor, Augustina Chidinma, Konstantin Sonntag, and Sebastian Peitz. “A Multiobjective Continuation Method to Compute the Regularization Path of Deep Neural Networks.” <i>Machine Learning with Applications</i> 19 (2025). <a href=\"https://doi.org/10.1016/j.mlwa.2025.100625\">https://doi.org/10.1016/j.mlwa.2025.100625</a>.","short":"A.C. Amakor, K. Sonntag, S. Peitz, Machine Learning with Applications 19 (2025).","apa":"Amakor, A. C., Sonntag, K., &#38; Peitz, S. (2025). A multiobjective continuation method to compute the regularization path of deep neural networks. <i>Machine Learning with Applications</i>, <i>19</i>, Article 100625. <a href=\"https://doi.org/10.1016/j.mlwa.2025.100625\">https://doi.org/10.1016/j.mlwa.2025.100625</a>","ieee":"A. C. Amakor, K. Sonntag, and S. Peitz, “A multiobjective continuation method to compute the regularization path of deep neural networks,” <i>Machine Learning with Applications</i>, vol. 19, Art. no. 100625, 2025, doi: <a href=\"https://doi.org/10.1016/j.mlwa.2025.100625\">10.1016/j.mlwa.2025.100625</a>."},"has_accepted_license":"1","status":"public","user_id":"47427","ddc":["000"],"volume":19,"publisher":"Elsevier","_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."}],"publication":"Machine Learning with Applications","type":"journal_article","department":[{"_id":"655"}],"file":[{"date_created":"2026-10-01T11:24:57Z","creator":"speitz","file_id":"67296","success":1,"content_type":"application/pdf","file_name":"ASP25_A multiobjective continuation method to compute the regularization path of deep neural networks.pdf","access_level":"closed","file_size":2433955,"relation":"main_file","date_updated":"2026-10-01T11:24:57Z"}],"date_created":"2024-02-06T08:51:00Z","date_updated":"2026-10-01T11:33:45Z","intvolume":"        19","year":"2025","title":"A multiobjective continuation method to compute the regularization path of deep neural networks","author":[{"first_name":"Augustina Chidinma","last_name":"Amakor","full_name":"Amakor, Augustina Chidinma","id":"97916"},{"id":"56399","last_name":"Sonntag","orcid":"https://orcid.org/0000-0003-3384-3496","first_name":"Konstantin","full_name":"Sonntag, Konstantin"},{"id":"47427","orcid":"0000-0002-3389-793X","first_name":"Sebastian","last_name":"Peitz","full_name":"Peitz, Sebastian"}],"doi":"10.1016/j.mlwa.2025.100625","article_number":"100625","language":[{"iso":"eng"}]},{"external_id":{"arxiv":["2307.15325"]},"oa":"1","citation":{"short":"S. Peitz, H. Harder, F. Nüske, F. Philipp, M. Schaller, K. Worthmann, Journal of Computational Dynamics 12 (2025) 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.” <i>Journal of Computational Dynamics</i> 12 (2025): 305–24. <a href=\"https://doi.org/10.3934/jcd.2024035\">https://doi.org/10.3934/jcd.2024035</a>.","apa":"Peitz, S., Harder, H., Nüske, F., Philipp, F., Schaller, M., &#38; Worthmann, K. (2025). Equivariance and partial observations in Koopman operator theory for partial differential equations. <i>Journal of Computational Dynamics</i>, <i>12</i>, 305–324. <a href=\"https://doi.org/10.3934/jcd.2024035\">https://doi.org/10.3934/jcd.2024035</a>","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,” <i>Journal of Computational Dynamics</i>, vol. 12, pp. 305–324, 2025, doi: <a href=\"https://doi.org/10.3934/jcd.2024035\">10.3934/jcd.2024035</a>.","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. <i>Journal of Computational Dynamics</i>. 2025;12:305-324. doi:<a href=\"https://doi.org/10.3934/jcd.2024035\">10.3934/jcd.2024035</a>","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={<a href=\"https://doi.org/10.3934/jcd.2024035\">10.3934/jcd.2024035</a>}, 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} }","mla":"Peitz, Sebastian, et al. “Equivariance and Partial Observations in Koopman Operator Theory for Partial Differential Equations.” <i>Journal of Computational Dynamics</i>, vol. 12, 2025, pp. 305–24, doi:<a href=\"https://doi.org/10.3934/jcd.2024035\">10.3934/jcd.2024035</a>."},"_id":"46579","page":"305-324","volume":12,"user_id":"47427","status":"public","date_created":"2023-08-21T05:52:24Z","department":[{"_id":"655"}],"type":"journal_article","publication":"Journal of Computational Dynamics","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."}],"language":[{"iso":"eng"}],"main_file_link":[{"url":"https://arxiv.org/pdf/2307.15325","open_access":"1"}],"doi":"10.3934/jcd.2024035","author":[{"id":"47427","full_name":"Peitz, Sebastian","last_name":"Peitz","orcid":"0000-0002-3389-793X","first_name":"Sebastian"},{"id":"98879","first_name":"Hans","last_name":"Harder","full_name":"Harder, Hans"},{"first_name":"Feliks","last_name":"Nüske","full_name":"Nüske, Feliks"},{"first_name":"Friedrich","last_name":"Philipp","full_name":"Philipp, Friedrich"},{"first_name":"Manuel","last_name":"Schaller","full_name":"Schaller, Manuel"},{"full_name":"Worthmann, Karl","last_name":"Worthmann","first_name":"Karl"}],"title":"Equivariance and partial observations in Koopman operator theory for partial differential equations","year":"2025","intvolume":"        12","date_updated":"2026-10-01T11:32:34Z"},{"date_created":"2024-04-30T08:43:14Z","keyword":["extreme learning machines","partial differential equations","data-driven prediction","high-dimensional systems"],"type":"conference","publication":"Systems theory in data and optimization","abstract":[{"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.","lang":"eng"}],"language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2404.18530"}],"doi":"10.1007/978-3-031-83191-1_10","author":[{"id":"98879","last_name":"Harder","first_name":"Hans","full_name":"Harder, Hans"},{"id":"47427","full_name":"Peitz, Sebastian","orcid":"0000-0002-3389-793X","last_name":"Peitz","first_name":"Sebastian"}],"publication_identifier":{"isbn":["978-3-031-83191-1"]},"year":"2025","title":"Solving partial differential equations with equivariant extreme learning machines","date_updated":"2026-10-01T11:39:19Z","publication_status":"published","place":"Cham","oa":"1","citation":{"bibtex":"@inproceedings{Harder_Peitz_2025, place={Cham}, title={Solving partial differential equations with equivariant extreme learning machines}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-83191-1_10\">10.1007/978-3-031-83191-1_10</a>}, 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} }","ama":"Harder H, Peitz S. Solving partial differential equations with equivariant extreme learning machines. In: Berberich J, Ianelli A, Allgöwer F, eds. <i>Systems Theory in Data and Optimization</i>. Springer; 2025:153-168. doi:<a href=\"https://doi.org/10.1007/978-3-031-83191-1_10\">10.1007/978-3-031-83191-1_10</a>","mla":"Harder, Hans, and Sebastian Peitz. “Solving Partial Differential Equations with Equivariant Extreme Learning Machines.” <i>Systems Theory in Data and Optimization</i>, edited by J. Berberich et al., Springer, 2025, pp. 153–68, doi:<a href=\"https://doi.org/10.1007/978-3-031-83191-1_10\">10.1007/978-3-031-83191-1_10</a>.","chicago":"Harder, Hans, and Sebastian Peitz. “Solving Partial Differential Equations with Equivariant Extreme Learning Machines.” In <i>Systems Theory in Data and Optimization</i>, edited by J. Berberich, A. Ianelli, and F. Allgöwer, 153–68. Cham: Springer, 2025. <a href=\"https://doi.org/10.1007/978-3-031-83191-1_10\">https://doi.org/10.1007/978-3-031-83191-1_10</a>.","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.","ieee":"H. Harder and S. Peitz, “Solving partial differential equations with equivariant extreme learning machines,” in <i>Systems theory in data and optimization</i>, 2025, pp. 153–168, doi: <a href=\"https://doi.org/10.1007/978-3-031-83191-1_10\">10.1007/978-3-031-83191-1_10</a>.","apa":"Harder, H., &#38; Peitz, S. (2025). Solving partial differential equations with equivariant extreme learning machines. In J. Berberich, A. Ianelli, &#38; F. Allgöwer (Eds.), <i>Systems theory in data and optimization</i> (pp. 153–168). Springer. <a href=\"https://doi.org/10.1007/978-3-031-83191-1_10\">https://doi.org/10.1007/978-3-031-83191-1_10</a>"},"publisher":"Springer","_id":"53793","page":"153-168","editor":[{"full_name":"Berberich, J.","last_name":"Berberich","first_name":"J."},{"first_name":"A.","last_name":"Ianelli","full_name":"Ianelli, A."},{"last_name":"Allgöwer","first_name":"F.","full_name":"Allgöwer, F."}],"user_id":"47427","status":"public"},{"type":"conference","keyword":["own","own-conference"],"department":[{"_id":"655"}],"date_created":"2026-10-01T12:04:52Z","publication":"2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","citation":{"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.","chicago":"Voth, Diana, Leonidas Dane, Jonas Grebe, Sebastian Peitz, and Philipp Terhörst. “Effective Backdoor Learning on Open-Set Face Recognition Systems.” In <i>2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</i>, 1027–39, 2025. <a href=\"https://doi.org/10.1109/WACV61041.2025.00109\">https://doi.org/10.1109/WACV61041.2025.00109</a>.","apa":"Voth, D., Dane, L., Grebe, J., Peitz, S., &#38; Terhörst, P. (2025). Effective Backdoor Learning on Open-Set Face Recognition Systems. <i>2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</i>, 1027–1039. <a href=\"https://doi.org/10.1109/WACV61041.2025.00109\">https://doi.org/10.1109/WACV61041.2025.00109</a>","ieee":"D. Voth, L. Dane, J. Grebe, S. Peitz, and P. Terhörst, “Effective Backdoor Learning on Open-Set Face Recognition Systems,” in <i>2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</i>, 2025, pp. 1027–1039, doi: <a href=\"https://doi.org/10.1109/WACV61041.2025.00109\">10.1109/WACV61041.2025.00109</a>.","ama":"Voth D, Dane L, Grebe J, Peitz S, Terhörst P. Effective Backdoor Learning on Open-Set Face Recognition Systems. In: <i>2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</i>. ; 2025:1027-1039. doi:<a href=\"https://doi.org/10.1109/WACV61041.2025.00109\">10.1109/WACV61041.2025.00109</a>","bibtex":"@inproceedings{Voth_Dane_Grebe_Peitz_Terhörst_2025, title={Effective Backdoor Learning on Open-Set Face Recognition Systems}, DOI={<a href=\"https://doi.org/10.1109/WACV61041.2025.00109\">10.1109/WACV61041.2025.00109</a>}, 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} }","mla":"Voth, Diana, et al. “Effective Backdoor Learning on Open-Set Face Recognition Systems.” <i>2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</i>, 2025, pp. 1027–39, doi:<a href=\"https://doi.org/10.1109/WACV61041.2025.00109\">10.1109/WACV61041.2025.00109</a>."},"user_id":"47427","doi":"10.1109/WACV61041.2025.00109","page":"1027-1039","_id":"67313","language":[{"iso":"eng"}],"date_updated":"2026-10-01T12:05:02Z","status":"public","title":"Effective Backdoor Learning on Open-Set Face Recognition Systems","year":"2025","author":[{"full_name":"Voth, Diana","last_name":"Voth","first_name":"Diana"},{"first_name":"Leonidas","last_name":"Dane","full_name":"Dane, Leonidas"},{"first_name":"Jonas","last_name":"Grebe","full_name":"Grebe, Jonas"},{"full_name":"Peitz, Sebastian","orcid":"0000-0002-3389-793X","last_name":"Peitz","first_name":"Sebastian","id":"47427"},{"full_name":"Terhörst, Philipp","last_name":"Terhörst","first_name":"Philipp"}]},{"keyword":["own","own-preprint"],"type":"preprint","department":[{"_id":"655"}],"date_created":"2026-10-01T12:04:32Z","publication":"arXiv:2504.12000","citation":{"chicago":"Markmann, Thorben, Michiel Straat, Sebastian Peitz, and Barbara Hammer. “Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime.” <i>ArXiv:2504.12000</i>, 2025.","short":"T. Markmann, M. Straat, S. Peitz, B. Hammer, 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,” <i>arXiv:2504.12000</i>. 2025.","apa":"Markmann, T., Straat, M., Peitz, S., &#38; Hammer, B. (2025). Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime. In <i>arXiv:2504.12000</i>.","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} }","ama":"Markmann T, Straat M, Peitz S, Hammer B. Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime. <i>arXiv:250412000</i>. Published online 2025.","mla":"Markmann, Thorben, et al. “Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime.” <i>ArXiv:2504.12000</i>, 2025."},"user_id":"47427","language":[{"iso":"eng"}],"_id":"67312","date_updated":"2026-10-01T12:04:44Z","status":"public","title":"Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime","year":"2025","author":[{"full_name":"Markmann, Thorben","first_name":"Thorben","last_name":"Markmann"},{"full_name":"Straat, Michiel","last_name":"Straat","first_name":"Michiel"},{"id":"47427","first_name":"Sebastian","last_name":"Peitz","orcid":"0000-0002-3389-793X","full_name":"Peitz, Sebastian"},{"full_name":"Hammer, Barbara","last_name":"Hammer","first_name":"Barbara"}]},{"department":[{"_id":"655"}],"type":"preprint","keyword":["own","own-preprint"],"date_created":"2026-10-01T12:03:40Z","citation":{"ama":"Boshoff S, Peitz S, Klus S. Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces. <i>arXiv:250922482</i>. Published online 2025.","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} }","mla":"Boshoff, Septimus, et al. “Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces.” <i>ArXiv:2509.22482</i>, 2025.","short":"S. Boshoff, S. Peitz, S. Klus, ArXiv:2509.22482 (2025).","chicago":"Boshoff, Septimus, Sebastian Peitz, and Stefan Klus. “Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces.” <i>ArXiv:2509.22482</i>, 2025.","apa":"Boshoff, S., Peitz, S., &#38; Klus, S. (2025). Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces. In <i>arXiv:2509.22482</i>.","ieee":"S. Boshoff, S. Peitz, and S. Klus, “Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces,” <i>arXiv:2509.22482</i>. 2025."},"publication":"arXiv:2509.22482","user_id":"47427","language":[{"iso":"eng"}],"_id":"67310","date_updated":"2026-10-01T12:03:58Z","author":[{"last_name":"Boshoff","first_name":"Septimus","full_name":"Boshoff, Septimus"},{"last_name":"Peitz","orcid":"0000-0002-3389-793X","first_name":"Sebastian","full_name":"Peitz, Sebastian","id":"47427"},{"first_name":"Stefan","last_name":"Klus","full_name":"Klus, Stefan"}],"year":"2025","title":"Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces","status":"public"},{"date_created":"2025-11-13T16:37:59Z","type":"conference","department":[{"_id":"43"},{"_id":"9"},{"_id":"26"},{"_id":"152"}],"publication":"AHFE International","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.</jats:p>"}],"main_file_link":[{"open_access":"1"}],"language":[{"iso":"eng"}],"doi":"10.54941/ahfe1006785","year":"2025","title":"Graphical AI workflow modelling: Identifying relevant competencies in AI-based automation of business processes","publication_identifier":{"issn":["2771-0718"]},"author":[{"full_name":"Gräßler, Iris","last_name":"Gräßler","first_name":"Iris","orcid":"0000-0001-5765-971X","id":"47565"},{"id":"58595","full_name":"Özcan, Deniz","first_name":"Deniz","last_name":"Özcan"}],"publication_status":"published","date_updated":"2026-10-01T12:25:18Z","intvolume":"       198","oa":"1","citation":{"chicago":"Gräßler, Iris, and Deniz Özcan. “Graphical AI Workflow Modelling: Identifying Relevant Competencies in AI-Based Automation of Business Processes.” In <i>AHFE International</i>, Vol. 198. AHFE International, 2025. <a href=\"https://doi.org/10.54941/ahfe1006785\">https://doi.org/10.54941/ahfe1006785</a>.","short":"I. Gräßler, D. Özcan, in: AHFE International, AHFE International, 2025.","apa":"Gräßler, I., &#38; Özcan, D. (2025). Graphical AI workflow modelling: Identifying relevant competencies in AI-based automation of business processes. <i>AHFE International</i>, <i>198</i>. <a href=\"https://doi.org/10.54941/ahfe1006785\">https://doi.org/10.54941/ahfe1006785</a>","ieee":"I. Gräßler and D. Özcan, “Graphical AI workflow modelling: Identifying relevant competencies in AI-based automation of business processes,” in <i>AHFE International</i>, Split, 2025, vol. 198, doi: <a href=\"https://doi.org/10.54941/ahfe1006785\">10.54941/ahfe1006785</a>.","ama":"Gräßler I, Özcan D. Graphical AI workflow modelling: Identifying relevant competencies in AI-based automation of business processes. In: <i>AHFE International</i>. Vol 198. AHFE International; 2025. doi:<a href=\"https://doi.org/10.54941/ahfe1006785\">10.54941/ahfe1006785</a>","bibtex":"@inproceedings{Gräßler_Özcan_2025, title={Graphical AI workflow modelling: Identifying relevant competencies in AI-based automation of business processes}, volume={198}, DOI={<a href=\"https://doi.org/10.54941/ahfe1006785\">10.54941/ahfe1006785</a>}, booktitle={AHFE International}, publisher={AHFE International}, author={Gräßler, Iris and Özcan, Deniz}, year={2025} }","mla":"Gräßler, Iris, and Deniz Özcan. “Graphical AI Workflow Modelling: Identifying Relevant Competencies in AI-Based Automation of Business Processes.” <i>AHFE International</i>, vol. 198, AHFE International, 2025, doi:<a href=\"https://doi.org/10.54941/ahfe1006785\">10.54941/ahfe1006785</a>."},"quality_controlled":"1","publisher":"AHFE International","_id":"62181","user_id":"58595","volume":198,"status":"public","conference":{"end_date":"2025-09-24","location":"Split","start_date":"2025-09-22","name":"7th International Conference on Human Systems Engineering and Design: Future Trends and Applications (IHSED 2025)"}},{"user_id":"58595","_id":"62182","publisher":"VDI Verlag","status":"public","oa":"1","quality_controlled":"1","citation":{"chicago":"Gräßler, Iris, Deniz Özcan, Alena Marie Tusek, Attila Bilgic, Christian Lange, Christian Stich, Christine Maul, et al. <i>Automation 2035</i>. VDI Verlag, 2025. <a href=\"https://doi.org/10.51202/9783911670180\">https://doi.org/10.51202/9783911670180</a>.","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.","ieee":"I. Gräßler <i>et al.</i>, <i>Automation 2035</i>. VDI Verlag, 2025.","apa":"Gräßler, I., Özcan, D., Tusek, A. M., Bilgic, A., Lange, C., Stich, C., Maul, C., Heizmann, M., Weyrich, M., Dessel, S., Miny, T., &#38; Jumar, U. (2025). <i>Automation 2035</i>. VDI Verlag. <a href=\"https://doi.org/10.51202/9783911670180\">https://doi.org/10.51202/9783911670180</a>","bibtex":"@book{Gräßler_Özcan_Tusek_Bilgic_Lange_Stich_Maul_Heizmann_Weyrich_Dessel,_et al._2025, title={Automation 2035}, DOI={<a href=\"https://doi.org/10.51202/9783911670180\">10.51202/9783911670180</a>}, 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} }","ama":"Gräßler I, Özcan D, Tusek AM, et al. <i>Automation 2035</i>. VDI Verlag; 2025. doi:<a href=\"https://doi.org/10.51202/9783911670180\">10.51202/9783911670180</a>","mla":"Gräßler, Iris, et al. <i>Automation 2035</i>. VDI Verlag, 2025, doi:<a href=\"https://doi.org/10.51202/9783911670180\">10.51202/9783911670180</a>."},"alternative_title":["VDI-Studie"],"doi":"10.51202/9783911670180","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1"}],"date_updated":"2026-10-01T12:25:27Z","publication_status":"published","publication_identifier":{"isbn":["9783911670180"]},"author":[{"id":"47565","last_name":"Gräßler","orcid":"0000-0001-5765-971X","first_name":"Iris","full_name":"Gräßler, Iris"},{"last_name":"Özcan","first_name":"Deniz","full_name":"Özcan, Deniz","id":"58595"},{"full_name":"Tusek, Alena Marie","first_name":"Alena Marie","last_name":"Tusek","id":"59370"},{"full_name":"Bilgic, Attila","last_name":"Bilgic","first_name":"Attila"},{"first_name":"Christian","last_name":"Lange","full_name":"Lange, Christian"},{"full_name":"Stich, Christian","last_name":"Stich","first_name":"Christian"},{"last_name":"Maul","first_name":"Christine","full_name":"Maul, Christine"},{"first_name":"Michael","last_name":"Heizmann","full_name":"Heizmann, Michael"},{"first_name":"Michael","last_name":"Weyrich","full_name":"Weyrich, Michael"},{"first_name":"Sascha","last_name":"Dessel,","full_name":"Dessel,, Sascha"},{"full_name":"Miny, Torben","first_name":"Torben","last_name":"Miny"},{"full_name":"Jumar, Ulrich","last_name":"Jumar","first_name":"Ulrich"}],"title":"Automation 2035","year":"2025","department":[{"_id":"43"},{"_id":"9"},{"_id":"26"},{"_id":"152"}],"type":"book","date_created":"2025-11-13T16:43:05Z","abstract":[{"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... </p>","lang":"eng"}]},{"user_id":"23547","volume":10,"page":"5664-5673","publisher":"American Chemical Society (ACS)","_id":"61015","status":"public","quality_controlled":"1","citation":{"bibtex":"@article{Baier_Kieke_Voth_Kloß_Huck_Steinrück_Tiemann_2025, title={Selective H<sub>2</sub> Gas Sensing Using ZIF-71/In-SnO<sub>2</sub> Bilayer Sensors: A Size-Selective Molecular Sieving Approach}, volume={10}, DOI={<a href=\"https://doi.org/10.1021/acssensors.5c00770\">10.1021/acssensors.5c00770</a>}, 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} }","ama":"Baier D, Kieke L, Voth S, et al. Selective H<sub>2</sub> Gas Sensing Using ZIF-71/In-SnO<sub>2</sub> Bilayer Sensors: A Size-Selective Molecular Sieving Approach. <i>ACS Sensors</i>. 2025;10(8):5664-5673. doi:<a href=\"https://doi.org/10.1021/acssensors.5c00770\">10.1021/acssensors.5c00770</a>","mla":"Baier, Dominik, et al. “Selective H<sub>2</sub> Gas Sensing Using ZIF-71/In-SnO<sub>2</sub> Bilayer Sensors: A Size-Selective Molecular Sieving Approach.” <i>ACS Sensors</i>, vol. 10, no. 8, American Chemical Society (ACS), 2025, pp. 5664–73, doi:<a href=\"https://doi.org/10.1021/acssensors.5c00770\">10.1021/acssensors.5c00770</a>.","short":"D. Baier, L. Kieke, S. Voth, M. Kloß, M. Huck, H.-G. Steinrück, M. Tiemann, ACS Sensors 10 (2025) 5664–5673.","chicago":"Baier, Dominik, Laureen Kieke, Sven Voth, Marvin Kloß, Marten Huck, Hans-Georg Steinrück, and Michael Tiemann. “Selective H<sub>2</sub> Gas Sensing Using ZIF-71/In-SnO<sub>2</sub> Bilayer Sensors: A Size-Selective Molecular Sieving Approach.” <i>ACS Sensors</i> 10, no. 8 (2025): 5664–73. <a href=\"https://doi.org/10.1021/acssensors.5c00770\">https://doi.org/10.1021/acssensors.5c00770</a>.","ieee":"D. Baier <i>et al.</i>, “Selective H<sub>2</sub> Gas Sensing Using ZIF-71/In-SnO<sub>2</sub> Bilayer Sensors: A Size-Selective Molecular Sieving Approach,” <i>ACS Sensors</i>, vol. 10, no. 8, pp. 5664–5673, 2025, doi: <a href=\"https://doi.org/10.1021/acssensors.5c00770\">10.1021/acssensors.5c00770</a>.","apa":"Baier, D., Kieke, L., Voth, S., Kloß, M., Huck, M., Steinrück, H.-G., &#38; Tiemann, M. (2025). Selective H<sub>2</sub> Gas Sensing Using ZIF-71/In-SnO<sub>2</sub> Bilayer Sensors: A Size-Selective Molecular Sieving Approach. <i>ACS Sensors</i>, <i>10</i>(8), 5664–5673. <a href=\"https://doi.org/10.1021/acssensors.5c00770\">https://doi.org/10.1021/acssensors.5c00770</a>"},"doi":"10.1021/acssensors.5c00770","language":[{"iso":"eng"}],"publication_status":"published","date_updated":"2026-10-01T14:20:27Z","intvolume":"        10","title":"Selective H<sub>2</sub> Gas Sensing Using ZIF-71/In-SnO<sub>2</sub> Bilayer Sensors: A Size-Selective Molecular Sieving Approach","year":"2025","author":[{"full_name":"Baier, Dominik","first_name":"Dominik","last_name":"Baier"},{"full_name":"Kieke, Laureen","last_name":"Kieke","first_name":"Laureen"},{"full_name":"Voth, Sven","first_name":"Sven","last_name":"Voth"},{"full_name":"Kloß, Marvin","last_name":"Kloß","first_name":"Marvin"},{"full_name":"Huck, Marten","last_name":"Huck","first_name":"Marten"},{"full_name":"Steinrück, Hans-Georg","first_name":"Hans-Georg","orcid":"0000-0001-6373-0877","last_name":"Steinrück","id":"84268"},{"id":"23547","last_name":"Tiemann","orcid":"0000-0003-1711-2722","first_name":"Michael","full_name":"Tiemann, Michael"}],"publication_identifier":{"issn":["2379-3694","2379-3694"]},"type":"journal_article","department":[{"_id":"35"},{"_id":"2"},{"_id":"307"}],"date_created":"2025-08-26T06:58:26Z","issue":"8","publication":"ACS Sensors"},{"date_updated":"2026-10-01T16:06:17Z","author":[{"full_name":"Rotthaler, Anna Lena","first_name":"Anna Lena","last_name":"Rotthaler","id":"97843"},{"orcid":"0000-0002-0000-5843","last_name":"Sri Ramulu","first_name":"Harshini","full_name":"Sri Ramulu, Harshini","id":"99000"},{"last_name":"Simko","first_name":"Lucy","full_name":"Simko, Lucy"},{"full_name":"Fahl, Sascha","first_name":"Sascha","last_name":"Fahl"},{"full_name":"Acar, Yasemin","first_name":"Yasemin","last_name":"Acar","id":"94636"}],"year":"2025","title":"\"It’s Time. Time for Digital Security.\": An End User Study on Actionable Security and Privacy Advice","status":"public","editor":[{"last_name":"Blanton","first_name":"Marina","full_name":"Blanton, Marina"},{"first_name":"William","last_name":"Enck","full_name":"Enck, William"},{"first_name":"Cristina","last_name":"Nita-Rotaru","full_name":"Nita-Rotaru, Cristina"}],"user_id":"97843","doi":"10.1109/SP61157.2025.00100","publisher":"IEEE","_id":"61129","language":[{"iso":"eng"}],"page":"2228–2245","citation":{"mla":"Rotthaler, Anna Lena, et al. “‘It’s Time. Time for Digital Security.’: An End User Study on Actionable Security and Privacy Advice.” <i>IEEE Symposium on Security and Privacy, SP 2025, San Francisco, CA, USA, May 12-15, 2025</i>, edited by Marina Blanton et al., IEEE, 2025, pp. 2228–2245, doi:<a href=\"https://doi.org/10.1109/SP61157.2025.00100\">10.1109/SP61157.2025.00100</a>.","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. <i>IEEE Symposium on Security and Privacy, SP 2025, San Francisco, CA, USA, May 12-15, 2025</i>. IEEE; 2025:2228–2245. doi:<a href=\"https://doi.org/10.1109/SP61157.2025.00100\">10.1109/SP61157.2025.00100</a>","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={<a href=\"https://doi.org/10.1109/SP61157.2025.00100\">10.1109/SP61157.2025.00100</a>}, 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} }","apa":"Rotthaler, A. L., Sri Ramulu, H., Simko, L., Fahl, S., &#38; 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, &#38; C. Nita-Rotaru (Eds.), <i>IEEE Symposium on Security and Privacy, SP 2025, San Francisco, CA, USA, May 12-15, 2025</i> (pp. 2228–2245). IEEE. <a href=\"https://doi.org/10.1109/SP61157.2025.00100\">https://doi.org/10.1109/SP61157.2025.00100</a>","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 <i>IEEE Symposium on Security and Privacy, SP 2025, San Francisco, CA, USA, May 12-15, 2025</i>, 2025, pp. 2228–2245, doi: <a href=\"https://doi.org/10.1109/SP61157.2025.00100\">10.1109/SP61157.2025.00100</a>.","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.","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 <i>IEEE Symposium on Security and Privacy, SP 2025, San Francisco, CA, USA, May 12-15, 2025</i>, edited by Marina Blanton, William Enck, and Cristina Nita-Rotaru, 2228–2245. IEEE, 2025. <a href=\"https://doi.org/10.1109/SP61157.2025.00100\">https://doi.org/10.1109/SP61157.2025.00100</a>."},"publication":"IEEE Symposium on Security and Privacy, SP 2025, San Francisco, CA, USA, May 12-15, 2025","type":"conference","date_created":"2025-09-04T11:13:58Z"},{"citation":{"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.” <i>ArXiv Preprint ArXiv:2512.02600</i>, 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).","ieee":"A. L. Rotthaler <i>et al.</i>, “S3C2 SICP Summit 2025-06: Vulnerability Response Summit,” <i>arXiv preprint arXiv:2512.02600</i>, 2025.","apa":"Rotthaler, A. L., Oberthür, S., Somorovsky, J., Thommes, K., Trang, S. T.-N., Acar, Y., Cukier, M., Enck, W., Kapravelos, A., &#38; Kästner, C. (2025). S3C2 SICP Summit 2025-06: Vulnerability Response Summit. <i>ArXiv Preprint ArXiv:2512.02600</i>.","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} }","ama":"Rotthaler AL, Oberthür S, Somorovsky J, et al. S3C2 SICP Summit 2025-06: Vulnerability Response Summit. <i>arXiv preprint arXiv:251202600</i>. Published online 2025.","mla":"Rotthaler, Anna Lena, et al. “S3C2 SICP Summit 2025-06: Vulnerability Response Summit.” <i>ArXiv Preprint ArXiv:2512.02600</i>, 2025."},"publication":"arXiv preprint arXiv:2512.02600","type":"journal_article","date_created":"2026-10-01T16:10:38Z","date_updated":"2026-10-01T16:11:00Z","author":[{"full_name":"Rotthaler, Anna Lena","first_name":"Anna Lena","last_name":"Rotthaler","id":"97843"},{"id":"383","full_name":"Oberthür, Simon","last_name":"Oberthür","first_name":"Simon"},{"id":"83504","first_name":"Juraj","orcid":"0000-0002-3593-7720","last_name":"Somorovsky","full_name":"Somorovsky, Juraj"},{"id":"72497","last_name":"Thommes","first_name":"Kirsten","full_name":"Thommes, Kirsten"},{"id":"98948","full_name":"Trang, Simon Thanh-Nam","orcid":"0000-0002-4784-4038","first_name":"Simon Thanh-Nam","last_name":"Trang"},{"id":"94636","full_name":"Acar, Yasemin","last_name":"Acar","first_name":"Yasemin"},{"full_name":"Cukier, Michel","last_name":"Cukier","first_name":"Michel"},{"first_name":"William","last_name":"Enck","full_name":"Enck, William"},{"full_name":"Kapravelos, Alexandros","first_name":"Alexandros","last_name":"Kapravelos"},{"full_name":"Kästner, Christian","last_name":"Kästner","first_name":"Christian"}],"year":"2025","title":"S3C2 SICP Summit 2025-06: Vulnerability Response Summit","status":"public","user_id":"97843","language":[{"iso":"eng"}],"_id":"67335"},{"abstract":[{"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.","lang":"eng"}],"quality_controlled":"1","citation":{"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. <i>Technische Mechanik - European Journal of Engineering Mechanics</i>, <i>45</i>(1), 1–23. <a href=\"https://doi.org/10.24352/UB.OVGU-2025-037\">https://doi.org/10.24352/UB.OVGU-2025-037</a>","ieee":"K. M. de Payrebrune <i>et al.</i>, “The impact of AI on engineering design procedures for dynamical systems,” <i>Technische Mechanik - European Journal of Engineering Mechanics</i>, vol. 45, no. 1, pp. 1–23, 2025, doi: <a href=\"https://doi.org/10.24352/UB.OVGU-2025-037\">10.24352/UB.OVGU-2025-037</a>.","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.” <i>Technische Mechanik - European Journal of Engineering Mechanics</i> 45, no. 1 (2025): 1–23. <a href=\"https://doi.org/10.24352/UB.OVGU-2025-037\">https://doi.org/10.24352/UB.OVGU-2025-037</a>.","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.","mla":"de Payrebrune, Kristin M., et al. “The Impact of AI on Engineering Design Procedures for Dynamical Systems.” <i>Technische Mechanik - European Journal of Engineering Mechanics</i>, vol. 45, no. 1, 2025, pp. 1–23, doi:<a href=\"https://doi.org/10.24352/UB.OVGU-2025-037\">10.24352/UB.OVGU-2025-037</a>.","ama":"de Payrebrune KM, Flaßkamp K, Ströhla T, et al. The impact of AI on engineering design procedures for dynamical systems. <i>Technische Mechanik - European Journal of Engineering Mechanics</i>. 2025;45(1):1-23. doi:<a href=\"https://doi.org/10.24352/UB.OVGU-2025-037\">10.24352/UB.OVGU-2025-037</a>","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={<a href=\"https://doi.org/10.24352/UB.OVGU-2025-037\">10.24352/UB.OVGU-2025-037</a>}, 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} }"},"publication":"Technische Mechanik - European Journal of Engineering Mechanics","issue":"1","type":"journal_article","date_created":"2024-12-18T09:07:41Z","intvolume":"        45","date_updated":"2026-10-07T11:25:00Z","author":[{"last_name":"de Payrebrune","first_name":"Kristin M.","full_name":"de Payrebrune, Kristin M."},{"first_name":"Kathrin","last_name":"Flaßkamp","full_name":"Flaßkamp, Kathrin"},{"first_name":"Tom","last_name":"Ströhla","full_name":"Ströhla, Tom"},{"last_name":"Sattel","first_name":"Thomas","full_name":"Sattel, Thomas"},{"last_name":"Bestle","first_name":"Dieter","full_name":"Bestle, Dieter"},{"first_name":"Benedict","last_name":"Röder","full_name":"Röder, Benedict"},{"full_name":"Eberhard, Peter","first_name":"Peter","last_name":"Eberhard"},{"last_name":"Peitz","orcid":"0000-0002-3389-793X","first_name":"Sebastian","full_name":"Peitz, Sebastian","id":"47427"},{"full_name":"Stoffel, Marcus","last_name":"Stoffel","first_name":"Marcus"},{"last_name":"Rutwik","first_name":"Gulakala","full_name":"Rutwik, Gulakala"},{"first_name":"Borse","last_name":"Aditya","full_name":"Aditya, Borse"},{"id":"43991","full_name":"Wohlleben, Meike Claudia","first_name":"Meike Claudia","orcid":"0009-0009-9767-7168","last_name":"Wohlleben"},{"id":"21220","full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter"},{"first_name":"Maximilian","last_name":"Raff","full_name":"Raff, Maximilian"},{"last_name":"Remy","first_name":"C. David","full_name":"Remy, C. David"},{"full_name":"Yadav, Manish","first_name":"Manish","last_name":"Yadav"},{"full_name":"Stender, Merten","first_name":"Merten","last_name":"Stender"},{"full_name":"van Delden, Jan","last_name":"van Delden","first_name":"Jan"},{"full_name":"Lüddecke, Timo","first_name":"Timo","last_name":"Lüddecke"},{"full_name":"Langer, Sabine C.","first_name":"Sabine C.","last_name":"Langer"},{"first_name":"Julius","last_name":"Schultz","full_name":"Schultz, Julius"},{"full_name":"Blech, Christopher","last_name":"Blech","first_name":"Christopher"}],"title":"The impact of AI on engineering design procedures for dynamical systems","status":"public","year":"2025","volume":45,"user_id":"43991","doi":"10.24352/UB.OVGU-2025-037","_id":"57829","language":[{"iso":"eng"}],"page":"1-23"},{"intvolume":"        35","article_type":"original","date_updated":"2026-10-08T10:56:12Z","publication_status":"published","author":[{"full_name":"Böhmann, Tilo","first_name":"Tilo","last_name":"Böhmann"},{"full_name":"Roth, Angela","first_name":"Angela","last_name":"Roth"},{"last_name":"Satzger","first_name":"Gerhard","full_name":"Satzger, Gerhard"},{"full_name":"Benz, Carina","last_name":"Benz","first_name":"Carina"},{"last_name":"Beverungen","first_name":"Daniel","full_name":"Beverungen, Daniel"},{"first_name":"Andreas","last_name":"Boes","full_name":"Boes, Andreas"},{"full_name":"Breidbach, Christoph","last_name":"Breidbach","first_name":"Christoph"},{"full_name":"Gersch, Martin","last_name":"Gersch","first_name":"Martin"},{"first_name":"Gerhard","last_name":"Gudergan","full_name":"Gudergan, Gerhard"},{"first_name":"Jens","last_name":"Hogreve","full_name":"Hogreve, Jens"},{"first_name":"Christian","last_name":"Kurtz","full_name":"Kurtz, Christian"},{"full_name":"Langes, Barbara","last_name":"Langes","first_name":"Barbara"},{"last_name":"Leimeister","first_name":"Jan Marco","full_name":"Leimeister, Jan Marco"},{"first_name":"Tom","last_name":"Lewandowski","full_name":"Lewandowski, Tom"},{"full_name":"Meiren, Thomas","last_name":"Meiren","first_name":"Thomas"},{"full_name":"Nägele, Rainer","last_name":"Nägele","first_name":"Rainer"},{"last_name":"Paluch","first_name":"Stefanie","full_name":"Paluch, Stefanie"},{"first_name":"Christoph","last_name":"Peters","full_name":"Peters, Christoph"},{"full_name":"Poeppelbuss, Jens","first_name":"Jens","last_name":"Poeppelbuss"},{"first_name":"Susanne","last_name":"Robra-Bissantz","full_name":"Robra-Bissantz, Susanne"},{"full_name":"Schultz, Carsten","first_name":"Carsten","last_name":"Schultz"},{"last_name":"Schumann","first_name":"Jan H.","full_name":"Schumann, Jan H."},{"full_name":"Wirtz, Jochen","last_name":"Wirtz","first_name":"Jochen"},{"full_name":"Wünderlich, Nancy V.","first_name":"Nancy V.","last_name":"Wünderlich"}],"publication_identifier":{"issn":["1019-6781","1422-8890"]},"year":"2025","title":"Continuous value shaping: A boundary concept for innovating service innovation approaches","doi":"10.1007/s12525-025-00771-1","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://link.springer.com/article/10.1007/s12525-025-00771-1","open_access":"1"}],"article_number":"27","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."}],"publication":"Electronic Markets","issue":"1","department":[{"_id":"195"}],"type":"journal_article","keyword":["Continuous value shaping (CVS)","Service research","Service innovation","Digitalization","Sustainability","Interdisciplinary research"],"date_created":"2025-04-04T06:10:26Z","file":[{"date_created":"2025-04-04T06:19:38Z","creator":"dabe","success":1,"content_type":"application/pdf","file_id":"59336","date_updated":"2025-04-04T06:19:38Z","relation":"main_file","access_level":"closed","file_size":920032,"file_name":"Continuous Value Shaping - EM.pdf"}],"has_accepted_license":"1","jel":["M10"],"status":"public","volume":35,"ddc":["380"],"user_id":"59677","publisher":"Springer Science and Business Media LLC","_id":"59335","project":[{"_id":"1250","name":"SHAPE : Gestaltung von Dienstleistungsentwicklungsprozessen und lnnovationspartnerschaften mit Unternehmen"}],"quality_controlled":"1","citation":{"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. <i>Electronic Markets</i>, <i>35</i>(1), Article 27. <a href=\"https://doi.org/10.1007/s12525-025-00771-1\">https://doi.org/10.1007/s12525-025-00771-1</a>","ieee":"T. Böhmann <i>et al.</i>, “Continuous value shaping: A boundary concept for innovating service innovation approaches,” <i>Electronic Markets</i>, vol. 35, no. 1, Art. no. 27, 2025, doi: <a href=\"https://doi.org/10.1007/s12525-025-00771-1\">10.1007/s12525-025-00771-1</a>.","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.” <i>Electronic Markets</i> 35, no. 1 (2025). <a href=\"https://doi.org/10.1007/s12525-025-00771-1\">https://doi.org/10.1007/s12525-025-00771-1</a>.","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).","mla":"Böhmann, Tilo, et al. “Continuous Value Shaping: A Boundary Concept for Innovating Service Innovation Approaches.” <i>Electronic Markets</i>, vol. 35, no. 1, 27, Springer Science and Business Media LLC, 2025, doi:<a href=\"https://doi.org/10.1007/s12525-025-00771-1\">10.1007/s12525-025-00771-1</a>.","ama":"Böhmann T, Roth A, Satzger G, et al. Continuous value shaping: A boundary concept for innovating service innovation approaches. <i>Electronic Markets</i>. 2025;35(1). doi:<a href=\"https://doi.org/10.1007/s12525-025-00771-1\">10.1007/s12525-025-00771-1</a>","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={<a href=\"https://doi.org/10.1007/s12525-025-00771-1\">10.1007/s12525-025-00771-1</a>}, 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} }"},"file_date_updated":"2025-04-04T06:19:38Z","oa":"1","external_id":{"unknown":["https://link.springer.com/article/10.1007/s12525-025-00771-1"]}},{"user_id":"128464","volume":24,"page":"1-25","_id":"66150","publisher":"Association for Computing Machinery (ACM)","status":"public","citation":{"bibtex":"@article{Heider_Hakert_Chen_Chen_2025, title={LazyTick: Lazy and Efficient Management of Job Release in Real-Time Operating Systems}, volume={24}, DOI={<a href=\"https://doi.org/10.1145/3762651\">10.1145/3762651</a>}, 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} }","ama":"Heider K, Hakert C, Chen K-H, Chen J-J. LazyTick: Lazy and Efficient Management of Job Release in Real-Time Operating Systems. <i>ACM Transactions on Embedded Computing Systems</i>. 2025;24(5s):1-25. doi:<a href=\"https://doi.org/10.1145/3762651\">10.1145/3762651</a>","mla":"Heider, Kay, et al. “LazyTick: Lazy and Efficient Management of Job Release in Real-Time Operating Systems.” <i>ACM Transactions on Embedded Computing Systems</i>, vol. 24, no. 5s, Association for Computing Machinery (ACM), 2025, pp. 1–25, doi:<a href=\"https://doi.org/10.1145/3762651\">10.1145/3762651</a>.","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.” <i>ACM Transactions on Embedded Computing Systems</i> 24, no. 5s (2025): 1–25. <a href=\"https://doi.org/10.1145/3762651\">https://doi.org/10.1145/3762651</a>.","short":"K. Heider, C. Hakert, K.-H. Chen, J.-J. Chen, ACM Transactions on Embedded Computing Systems 24 (2025) 1–25.","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,” <i>ACM Transactions on Embedded Computing Systems</i>, vol. 24, no. 5s, pp. 1–25, 2025, doi: <a href=\"https://doi.org/10.1145/3762651\">10.1145/3762651</a>.","apa":"Heider, K., Hakert, C., Chen, K.-H., &#38; Chen, J.-J. (2025). LazyTick: Lazy and Efficient Management of Job Release in Real-Time Operating Systems. <i>ACM Transactions on Embedded Computing Systems</i>, <i>24</i>(5s), 1–25. <a href=\"https://doi.org/10.1145/3762651\">https://doi.org/10.1145/3762651</a>"},"doi":"10.1145/3762651","language":[{"iso":"eng"}],"date_updated":"2026-10-12T20:18:45Z","publication_status":"published","intvolume":"        24","title":"LazyTick: Lazy and Efficient Management of Job Release in Real-Time Operating Systems","year":"2025","publication_identifier":{"issn":["1539-9087","1558-3465"]},"author":[{"last_name":"Heider","first_name":"Kay","full_name":"Heider, Kay"},{"first_name":"Christian","last_name":"Hakert","full_name":"Hakert, Christian"},{"full_name":"Chen, Kuan-Hsun","orcid":"0000-0002-7110-921X","first_name":"Kuan-Hsun","last_name":"Chen","id":"128464"},{"last_name":"Chen","first_name":"Jian-Jia","full_name":"Chen, Jian-Jia"}],"type":"journal_article","date_created":"2026-07-03T21:07:51Z","abstract":[{"text":"<jats:p>\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            <jats:italic toggle=\"yes\">LazyTick</jats:italic>\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            <jats:italic toggle=\"yes\">LazyTick</jats:italic>\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          </jats:p>","lang":"eng"}],"issue":"5s","publication":"ACM Transactions on Embedded Computing Systems"},{"doi":"10.1007/s11241-025-09441-z","language":[{"iso":"eng"}],"intvolume":"        61","date_updated":"2026-10-12T20:21:24Z","publication_status":"published","publication_identifier":{"issn":["0922-6443","1573-1383"]},"author":[{"full_name":"Shi, Junjie","first_name":"Junjie","last_name":"Shi"},{"id":"128464","first_name":"Kuan-Hsun","last_name":"Chen","orcid":"0000-0002-7110-921X","full_name":"Chen, Kuan-Hsun"}],"year":"2025","title":"Shielded reinforcement learning for fault-tolerant scheduling in real-time systems","type":"journal_article","date_created":"2026-07-03T21:07:18Z","abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title>\r\n          <jats:p>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.</jats:p>"}],"issue":"2","publication":"Real-Time Systems","volume":61,"user_id":"128464","_id":"66147","publisher":"Springer Science and Business Media LLC","page":"306-310","status":"public","citation":{"apa":"Shi, J., &#38; Chen, K.-H. (2025). Shielded reinforcement learning for fault-tolerant scheduling in real-time systems. <i>Real-Time Systems</i>, <i>61</i>(2), 306–310. <a href=\"https://doi.org/10.1007/s11241-025-09441-z\">https://doi.org/10.1007/s11241-025-09441-z</a>","ieee":"J. Shi and K.-H. Chen, “Shielded reinforcement learning for fault-tolerant scheduling in real-time systems,” <i>Real-Time Systems</i>, vol. 61, no. 2, pp. 306–310, 2025, doi: <a href=\"https://doi.org/10.1007/s11241-025-09441-z\">10.1007/s11241-025-09441-z</a>.","chicago":"Shi, Junjie, and Kuan-Hsun Chen. “Shielded Reinforcement Learning for Fault-Tolerant Scheduling in Real-Time Systems.” <i>Real-Time Systems</i> 61, no. 2 (2025): 306–10. <a href=\"https://doi.org/10.1007/s11241-025-09441-z\">https://doi.org/10.1007/s11241-025-09441-z</a>.","short":"J. Shi, K.-H. Chen, Real-Time Systems 61 (2025) 306–310.","mla":"Shi, Junjie, and Kuan-Hsun Chen. “Shielded Reinforcement Learning for Fault-Tolerant Scheduling in Real-Time Systems.” <i>Real-Time Systems</i>, vol. 61, no. 2, Springer Science and Business Media LLC, 2025, pp. 306–10, doi:<a href=\"https://doi.org/10.1007/s11241-025-09441-z\">10.1007/s11241-025-09441-z</a>.","ama":"Shi J, Chen K-H. Shielded reinforcement learning for fault-tolerant scheduling in real-time systems. <i>Real-Time Systems</i>. 2025;61(2):306-310. doi:<a href=\"https://doi.org/10.1007/s11241-025-09441-z\">10.1007/s11241-025-09441-z</a>","bibtex":"@article{Shi_Chen_2025, title={Shielded reinforcement learning for fault-tolerant scheduling in real-time systems}, volume={61}, DOI={<a href=\"https://doi.org/10.1007/s11241-025-09441-z\">10.1007/s11241-025-09441-z</a>}, 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} }"}},{"_id":"66148","publisher":"Association for Computing Machinery (ACM)","language":[{"iso":"eng"}],"page":"1-2","volume":9,"user_id":"128464","doi":"10.1145/3712019","publication_identifier":{"issn":["2378-962X","2378-9638"]},"author":[{"id":"128464","full_name":"Chen, Kuan-Hsun","first_name":"Kuan-Hsun","last_name":"Chen","orcid":"0000-0002-7110-921X"},{"last_name":"Li","first_name":"Jing","full_name":"Li, Jing"},{"full_name":"Reghenzani, Federico","first_name":"Federico","last_name":"Reghenzani"},{"full_name":"Chen, Jian-Jia","first_name":"Jian-Jia","last_name":"Chen"}],"title":"Introduction to the Special Issue on Fault-Resilient Cyber-Physical Systems—Part 2","year":"2025","status":"public","intvolume":"         9","publication_status":"published","date_updated":"2026-10-12T20:19:10Z","date_created":"2026-07-03T21:07:37Z","type":"journal_article","citation":{"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.” <i>ACM Transactions on Cyber-Physical Systems</i> 9, no. 1 (2025): 1–2. <a href=\"https://doi.org/10.1145/3712019\">https://doi.org/10.1145/3712019</a>.","short":"K.-H. Chen, J. Li, F. Reghenzani, J.-J. Chen, ACM Transactions on Cyber-Physical Systems 9 (2025) 1–2.","apa":"Chen, K.-H., Li, J., Reghenzani, F., &#38; Chen, J.-J. (2025). Introduction to the Special Issue on Fault-Resilient Cyber-Physical Systems—Part 2. <i>ACM Transactions on Cyber-Physical Systems</i>, <i>9</i>(1), 1–2. <a href=\"https://doi.org/10.1145/3712019\">https://doi.org/10.1145/3712019</a>","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,” <i>ACM Transactions on Cyber-Physical Systems</i>, vol. 9, no. 1, pp. 1–2, 2025, doi: <a href=\"https://doi.org/10.1145/3712019\">10.1145/3712019</a>.","ama":"Chen K-H, Li J, Reghenzani F, Chen J-J. Introduction to the Special Issue on Fault-Resilient Cyber-Physical Systems—Part 2. <i>ACM Transactions on Cyber-Physical Systems</i>. 2025;9(1):1-2. doi:<a href=\"https://doi.org/10.1145/3712019\">10.1145/3712019</a>","bibtex":"@article{Chen_Li_Reghenzani_Chen_2025, title={Introduction to the Special Issue on Fault-Resilient Cyber-Physical Systems—Part 2}, volume={9}, DOI={<a href=\"https://doi.org/10.1145/3712019\">10.1145/3712019</a>}, 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} }","mla":"Chen, Kuan-Hsun, et al. “Introduction to the Special Issue on Fault-Resilient Cyber-Physical Systems—Part 2.” <i>ACM Transactions on Cyber-Physical Systems</i>, vol. 9, no. 1, Association for Computing Machinery (ACM), 2025, pp. 1–2, doi:<a href=\"https://doi.org/10.1145/3712019\">10.1145/3712019</a>."},"publication":"ACM Transactions on Cyber-Physical Systems","issue":"1"},{"citation":{"mla":"Winschermann, Leoni, et al. “Optimizing Electric Vehicle Scheduling with Charging Guarantees Using Flow Models with Local Penalties.” <i>Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems</i>, ACM, 2025, doi:<a href=\"https://doi.org/10.1145/3679240.3734593\">10.1145/3679240.3734593</a>.","bibtex":"@inproceedings{Winschermann_Günzel_Chen_Hurink_2025, title={Optimizing Electric Vehicle Scheduling with Charging Guarantees using Flow Models with Local Penalties}, DOI={<a href=\"https://doi.org/10.1145/3679240.3734593\">10.1145/3679240.3734593</a>}, 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} }","ama":"Winschermann L, Günzel M, Chen K-H, Hurink J. Optimizing Electric Vehicle Scheduling with Charging Guarantees using Flow Models with Local Penalties. In: <i>Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems</i>. ACM; 2025. doi:<a href=\"https://doi.org/10.1145/3679240.3734593\">10.1145/3679240.3734593</a>","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: <a href=\"https://doi.org/10.1145/3679240.3734593\">10.1145/3679240.3734593</a>.","apa":"Winschermann, L., Günzel, M., Chen, K.-H., &#38; Hurink, J. (2025). Optimizing Electric Vehicle Scheduling with Charging Guarantees using Flow Models with Local Penalties. <i>Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems</i>. <a href=\"https://doi.org/10.1145/3679240.3734593\">https://doi.org/10.1145/3679240.3734593</a>","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 <i>Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems</i>. ACM, 2025. <a href=\"https://doi.org/10.1145/3679240.3734593\">https://doi.org/10.1145/3679240.3734593</a>.","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."},"publication":"Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems","date_created":"2026-07-03T21:08:59Z","type":"conference","author":[{"full_name":"Winschermann, Leoni","last_name":"Winschermann","first_name":"Leoni"},{"full_name":"Günzel, Mario","last_name":"Günzel","first_name":"Mario"},{"id":"128464","full_name":"Chen, Kuan-Hsun","last_name":"Chen","first_name":"Kuan-Hsun","orcid":"0000-0002-7110-921X"},{"first_name":"Johann","last_name":"Hurink","full_name":"Hurink, Johann"}],"status":"public","year":"2025","title":"Optimizing Electric Vehicle Scheduling with Charging Guarantees using Flow Models with Local Penalties","date_updated":"2026-10-12T20:23:08Z","publication_status":"published","_id":"66156","publisher":"ACM","language":[{"iso":"eng"}],"doi":"10.1145/3679240.3734593","user_id":"128464"},{"date_updated":"2026-10-12T20:23:17Z","publication_status":"published","status":"public","title":"REAP-NVM: Resilient Endurance-Aware NVM-Based PUF Against Learning-Based Attacks","year":"2025","author":[{"first_name":"Hassan","last_name":"Nassar","full_name":"Nassar, Hassan"},{"full_name":"Wei, Ming-Liang","last_name":"Wei","first_name":"Ming-Liang"},{"full_name":"Yang, Chia-Lin","first_name":"Chia-Lin","last_name":"Yang"},{"full_name":"Henkel, Jörg","first_name":"Jörg","last_name":"Henkel"},{"full_name":"Chen, Kuan-Hsun","orcid":"0000-0002-7110-921X","last_name":"Chen","first_name":"Kuan-Hsun","id":"128464"}],"doi":"10.23919/date64628.2025.10992747","user_id":"128464","language":[{"iso":"eng"}],"_id":"66152","publisher":"IEEE","publication":"2025 Design, Automation &amp;amp; Test in Europe Conference (DATE)","citation":{"mla":"Nassar, Hassan, et al. “REAP-NVM: Resilient Endurance-Aware NVM-Based PUF Against Learning-Based Attacks.” <i>2025 Design, Automation &#38;amp;Amp; Test in Europe Conference (DATE)</i>, IEEE, 2025, doi:<a href=\"https://doi.org/10.23919/date64628.2025.10992747\">10.23919/date64628.2025.10992747</a>.","bibtex":"@inproceedings{Nassar_Wei_Yang_Henkel_Chen_2025, title={REAP-NVM: Resilient Endurance-Aware NVM-Based PUF Against Learning-Based Attacks}, DOI={<a href=\"https://doi.org/10.23919/date64628.2025.10992747\">10.23919/date64628.2025.10992747</a>}, booktitle={2025 Design, Automation &#38;amp;amp; 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} }","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: <i>2025 Design, Automation &#38;amp;Amp; Test in Europe Conference (DATE)</i>. IEEE; 2025. doi:<a href=\"https://doi.org/10.23919/date64628.2025.10992747\">10.23919/date64628.2025.10992747</a>","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: <a href=\"https://doi.org/10.23919/date64628.2025.10992747\">10.23919/date64628.2025.10992747</a>.","apa":"Nassar, H., Wei, M.-L., Yang, C.-L., Henkel, J., &#38; Chen, K.-H. (2025). REAP-NVM: Resilient Endurance-Aware NVM-Based PUF Against Learning-Based Attacks. <i>2025 Design, Automation &#38;amp;Amp; Test in Europe Conference (DATE)</i>. <a href=\"https://doi.org/10.23919/date64628.2025.10992747\">https://doi.org/10.23919/date64628.2025.10992747</a>","short":"H. Nassar, M.-L. Wei, C.-L. Yang, J. Henkel, K.-H. 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IEEE, 2025. <a href=\"https://doi.org/10.23919/date64628.2025.10992747\">https://doi.org/10.23919/date64628.2025.10992747</a>."},"type":"conference","date_created":"2026-07-03T21:08:20Z"},{"date_updated":"2026-10-12T20:24:57Z","publication_status":"published","author":[{"full_name":"Cishugi, Elijah Seth","first_name":"Elijah Seth","last_name":"Cishugi"},{"first_name":"Tijmen T.","last_name":"Smit","full_name":"Smit, Tijmen T."},{"full_name":"Forlin, Bruno","last_name":"Forlin","first_name":"Bruno"},{"first_name":"Carlo","last_name":"Cazzaniga","full_name":"Cazzaniga, Carlo"},{"last_name":"Chen","orcid":"0000-0002-7110-921X","first_name":"Kuan-Hsun","full_name":"Chen, Kuan-Hsun","id":"128464"},{"full_name":"Ottavi, Marco","first_name":"Marco","last_name":"Ottavi"}],"status":"public","title":"Bloom Filters for Soft Error Detection: Neutron and Fault Injection Validation","year":"2025","doi":"10.1109/iolts65288.2025.11116913","user_id":"128464","_id":"66158","language":[{"iso":"eng"}],"publisher":"IEEE","citation":{"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 <i>2025 IEEE 31st International Symposium on On-Line Testing and Robust System Design (IOLTS)</i>. IEEE, 2025. <a href=\"https://doi.org/10.1109/iolts65288.2025.11116913\">https://doi.org/10.1109/iolts65288.2025.11116913</a>.","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.","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: <a href=\"https://doi.org/10.1109/iolts65288.2025.11116913\">10.1109/iolts65288.2025.11116913</a>.","apa":"Cishugi, E. S., Smit, T. T., Forlin, B., Cazzaniga, C., Chen, K.-H., &#38; Ottavi, M. (2025). 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