@article{55781,
  abstract     = {{In this paper, we prove that spatially semi-discrete evolving finite element
method for parabolic equations on a given evolving hypersurface of arbitrary
dimensions preserves the maximal $L^p$-regularity at the discrete level. We
first establish the results on a stationary surface and then extend them, via a
perturbation argument, to the case where the underlying surface is evolving
under a prescribed velocity field. The proof combines techniques in evolving
finite element method, properties of Green's functions on (discretised) closed
surfaces, and local energy estimates for finite element methods}},
  author       = {{Bai, Genming and Kovács, Balázs and Li, Buyang}},
  journal      = {{IMA Journal of Numerical Analysis}},
  title        = {{{Maximal regularity of evolving FEMs for parabolic equations on an  evolving surface}}},
  doi          = {{10.1093/imanum/draf082.}},
  year         = {{2025}},
}

@inbook{64201,
  author       = {{DeAndres-Tame, Ivan and Faisal, Muhammad and Tolosana, Ruben and Al-Refai, Rouqaiah and Vera-Rodriguez, Ruben and Terhörst, Philipp}},
  booktitle    = {{Lecture Notes in Computer Science}},
  isbn         = {{9783031876561}},
  issn         = {{0302-9743}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{From Pixels to Words: Leveraging Explainability in Face Recognition Through Interactive Natural Language Processing}}},
  doi          = {{10.1007/978-3-031-87657-8_22}},
  year         = {{2025}},
}

@inproceedings{64204,
  author       = {{Voth, Diana and Dane, Leonidas and Grebe, Jonas and Peitz, Sebastian and Terhörst, Philipp}},
  booktitle    = {{2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)}},
  publisher    = {{IEEE}},
  title        = {{{Effective Backdoor Learning on Open-Set Face Recognition Systems}}},
  doi          = {{10.1109/wacv61041.2025.00109}},
  year         = {{2025}},
}

@inproceedings{64203,
  author       = {{Al-Refai, Rouqaiah and Hempel, Philipp and Biagi, Clara and Terhörst, Philipp}},
  booktitle    = {{2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)}},
  publisher    = {{IEEE}},
  title        = {{{FALCON: Fair Face Recognition via Local Optimal Feature Normalization}}},
  doi          = {{10.1109/wacv61041.2025.00337}},
  year         = {{2025}},
}

@inproceedings{64207,
  author       = {{Bora, Revoti Prasad and Terhörst, Philipp and Veldhuis, Raymond N. J. and Ramachandra, Raghavendra and Raja, Kiran Bylappa}},
  booktitle    = {{Conference on Uncertainty in Artificial Intelligence, Rio Othon Palace, Rio de Janeiro, Brazil, 21-25 July 2025}},
  editor       = {{Chiappa, Silvia and Magliacane, Sara}},
  pages        = {{332–354}},
  publisher    = {{PMLR}},
  title        = {{{BELIEF - Bayesian Sign Entropy Regularization for LIME Framework}}},
  volume       = {{286}},
  year         = {{2025}},
}

@inproceedings{64219,
  author       = {{Graunke, Jannis and Bita, Isaac Mpidi and Hermelingmeier, Dominik and Humpert, Lynn and Schierbaum, Anja and Dumitrescu, Roman}},
  booktitle    = {{2025 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE)}},
  publisher    = {{IEEE}},
  title        = {{{Evolving Modularity: Rethinking Architecture in Product and Organizational Systems}}},
  doi          = {{10.1109/rasse64831.2025.11315315}},
  year         = {{2025}},
}

@inproceedings{64205,
  author       = {{Xu, Ying and Terhörst, Philipp and Pedersen, Marius and Raja, Kiran}},
  booktitle    = {{2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG)}},
  publisher    = {{IEEE}},
  title        = {{{Chasing Shadows: Solving Deepfake Detection Benchmarks Using Irrelevant Features Only}}},
  doi          = {{10.1109/fg61629.2025.11099163}},
  year         = {{2025}},
}

@article{64206,
  author       = {{Groß, Sebastian and Heindorf, Stefan and Terhörst, Philipp}},
  journal      = {{CoRR}},
  title        = {{{A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks}}},
  doi          = {{10.48550/ARXIV.2505.19920}},
  volume       = {{abs/2505.19920}},
  year         = {{2025}},
}

@article{64210,
  author       = {{Al-Refai, Rouqaiah and Ramasamy, Pankaja Priya and Ramesh, Ragini and Arias-Cabarcos, Patricia and Terhörst, Philipp}},
  journal      = {{arXiv preprint arXiv:2508.13874}},
  title        = {{{A Comprehensive Re-Evaluation of Biometric Modality Properties in the Modern Era}}},
  year         = {{2025}},
}

@inproceedings{64220,
  author       = {{Disselkamp, Jan-Philipp and Seidenberg, Tobias and Lick, Jonas and Dumitrescu, Roman}},
  booktitle    = {{2025 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE)}},
  publisher    = {{IEEE}},
  title        = {{{24 Reasons for the Failure of Integrative and Integrated Product and Production System Development Methods}}},
  doi          = {{10.1109/rasse64831.2025.11315397}},
  year         = {{2025}},
}

@article{64222,
  author       = {{Ködding, Patrick and Koldewey, Christian and Dumitrescu, Roman}},
  issn         = {{0360-8581}},
  journal      = {{IEEE Engineering Management Review}},
  pages        = {{1--9}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Tailoring scenario projects with method and tool building blocks}}},
  doi          = {{10.1109/emr.2025.3646110}},
  year         = {{2025}},
}

@inproceedings{64229,
  abstract     = {{<jats:title>ABSTRACT:</jats:title><jats:p>This paper presents the MBSE-Graph-RAG framework to address key challenges in Model-Based Systems Engineering (MBSE). Traditional MBSE tools suffer from usability barriers, limited accessibility, and integration challenges. By combining knowledge graphs with Retrieval-Augmented Generation (RAG), the proposed framework enables AI-Augmented engineering through natural language interactions and automated system architecture generation. A systematic literature review establishes a solid research foundation, identifying gaps in AI-assisted MBSE. Key contributions include a structured MBSE-Graph interface, improved usability via Large Language Models (LLMs), and automated graph construction aligned with SysML. A proof-of-concept demonstrates the potential of this approach to enhance MBSE by reducing complexity, improving data accessibility, and supporting engineering collaboration.</jats:p>}},
  author       = {{Hanke, Fabian and Mpidi Bita, Isaac  and von Heißen, Oliver  and Weller, Julian and Hovemann, Aschot and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{439--448}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{AI-augmented systems engineering: conceptual application of retrieval-augmented generation for model-based systems engineering graph}}},
  doi          = {{10.1017/pds.2025.10058}},
  volume       = {{5}},
  year         = {{2025}},
}

@article{64253,
  abstract     = {{<jats:p>This paper presents a comprehensive design framework for Enterprise Architecture aimed at facilitating decision-driven analytics in smart factories. The motivation behind this research lies in challenges faced by manufacturing companies, such as skilled labor shortages and increasing global competition, alongside the imperative for sustainable production. This journal provides a novel approach for designing and documenting prescriptive analytics use cases in manufacturing environments. The framework addresses the need for effective integration of advanced data analytics and prescriptive analytics solutions within existing production environments, thereby enhancing operational efficiency and decision-making processes. A Design Science Research approach is used to iteratively derive a framework based on stakeholder needs and activities along the prescriptive analytics use case development cycle. The resulting framework is demonstrated and evaluated in an IoT Factory setup in a research facility. From a practical perspective, the framework supports manufacturing companies in systematically designing prescriptive analytics use cases. From a research perspective, it contributes to the body of knowledge on Enterprise Architecture Management (EAM) by operationalizing the design of prescriptive analytics use cases in manufacturing contexts. The main contributions of this study include the development of a framework that supports the planning, design, and integration of prescriptive analytics use cases. This framework fosters interdisciplinary collaboration and aids in managing the complexity of data-driven projects.</jats:p>}},
  author       = {{Weller, Julian and Dumitrescu, Roman}},
  issn         = {{2079-9292}},
  journal      = {{Electronics}},
  number       = {{21}},
  publisher    = {{MDPI AG}},
  title        = {{{Decision-Driven Analytics in Smart Factories: Enterprise Architecture Framework for Use Case Specification and Engineering (FUSE)}}},
  doi          = {{10.3390/electronics14214271}},
  volume       = {{14}},
  year         = {{2025}},
}

@inproceedings{64252,
  abstract     = {{<jats:title>ABSTRACT:</jats:title><jats:p>The increasing complexity of modern product and production system development, driven by dynamic market demands, supply chain disruptions and economic pressures, poses significant challenges for companies. Existing methodologies often fall short due to their domain-specific focus, inconsistent terminology and lack of integration. To address these challenges, this paper presents a taxonomy for integrative product and production system development. The taxonomy systematically structures key elements, dependencies and processes to improve collaboration, decision-making and communication within organisations. Developed iteratively the taxonomy identifies ten core artefacts. It enables organisations to better plan improvements, synchronise development processes, and select appropriate methods and tools.</jats:p>}},
  author       = {{Disselkamp, Jan-Philipp and Seidenberg, Tobias and Westphal, Svenja and Lick, Jonas and Ptock, Lukas and Wyrwich, Fabian and Hovemann, Aschot and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{2121--2130}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Integrative and Integrated product and production system development: a taxonomy for managing dependencies and processes}}},
  doi          = {{10.1017/pds.2025.10226}},
  volume       = {{5}},
  year         = {{2025}},
}

@inproceedings{59517,
  author       = {{Lick, Jonas and Kattenstroth, Fiona and Trienens, Malte and Disselkamp, Jan-Philipp and Kühn, Arno and Dumitrescu, Roman}},
  booktitle    = {{2024 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)}},
  publisher    = {{IEEE}},
  title        = {{{Guidance on a Digital Factory Twin: Proposal for a Reference Architecture}}},
  doi          = {{10.1109/ictmod63116.2024.10878221}},
  year         = {{2025}},
}

@misc{61121,
  author       = {{Peckhaus, Volker}},
  booktitle    = {{zbMATH Open, Zbl. 08058231}},
  title        = {{{Franke-Reddig, Julia, „Bernard Bolzano im Kontext der Logikgeschichtsschreibung von Heinrich Scholz“, SieB. Siegener Beiträge zur Geschichte und Philosophie der Mathematik 18 (2024), 155–175}}},
  year         = {{2025}},
}

@inbook{64254,
  author       = {{Dumitrescu, Roman and Riedel, Oliver and Henke, Michael and Metternich, Joachim and Ihlenfeldt, Steffen and Koldewey, Christian}},
  booktitle    = {{Gaia-X in industriellen Wertschöpfungsnetzwerken – Erkenntnisse aus der Förderlinie InGAIA-X}},
  isbn         = {{9783186204165}},
  publisher    = {{VDI Verlag}},
  title        = {{{Gaia-X in industriellen Wertschöpfungsnetzwerken – Erkenntnisse aus der Förderlinie InGAIA-X}}},
  doi          = {{10.51202/9783186204165-i}},
  year         = {{2025}},
}

@article{64256,
  author       = {{Rasor, Anja and Koldewey, Christian and Dumitrescu, Roman}},
  issn         = {{2662-7493}},
  journal      = {{Nachhaltige Industrie}},
  number       = {{2}},
  pages        = {{40--43}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Mit digitalen Hebeln zur Kreislaufwirtschaft}}},
  doi          = {{10.1007/s43462-025-1406-x}},
  volume       = {{6}},
  year         = {{2025}},
}

@proceedings{64257,
  editor       = {{Dumitrescu, Roman and Hölzle, Katharina}},
  publisher    = {{Verlagsschriftenreihe des Heinz Nixdorf Instituts}},
  title        = {{{Vorausschau und Technologieplanung - 19. Symposium für Vorausschau und Technologieplanung}}},
  doi          = {{10.17619/UNIPB/1-2467}},
  year         = {{2025}},
}

@unpublished{64267,
  abstract     = {{Let $\mathbb{H}^n$ be the $n$-dimensional real hyperbolic space, $Δ$ its nonnegative Laplace--Beltrami operator whose bottom of the spectrum we denote by $λ_{0}$, and $σ\in (0,1)$.
  The aim of this paper is twofold. On the one hand, we determine the Fujita exponent for the fractional heat equation \[\partial_{t} u + Δ^σu = e^{βt}|u|^{γ-1}u,\] by proving that nontrivial positive global solutions exist if and only if $γ\geq 1 + β/ λ_{0}^σ$. On the other hand, we prove the existence of non-negative, bounded and finite energy solutions of the semilinear fractional elliptic equation \[
  Δ^σ v - λ^σ v - v^γ=0 \] for $0\leq λ\leq λ_{0}$ and $1<γ< \frac{n+2σ}{n-2σ}$. The two problems are known to be connected and the latter, aside from its independent interest, is actually instrumental to the former.
  \smallskip
  At the core of our results stands a novel fractional Poincaré-type inequality expressed in terms of a new scale of $L^{2}$ fractional Sobolev spaces, which sharpens those known so far, and which holds more generally on Riemannian symmetric spaces of non-compact type. We also establish an associated Rellich--Kondrachov-like compact embedding theorem for radial functions, along with other related properties.}},
  author       = {{Bruno, Tommaso and Papageorgiou, Effie}},
  booktitle    = {{arXiv:2509.12349}},
  title        = {{{Blow-up exponents and a semilinear elliptic equation for the fractional Laplacian on hyperbolic spaces}}},
  year         = {{2025}},
}

