@inbook{61946,
  author       = {{Karaca, Resul}},
  booktitle    = {{L'islam dans la culture populaire: reconfigurations et nouvelles visibilités}},
  editor       = {{Karaca, Resul}},
  isbn         = {{978-2-336-56512-5}},
  pages        = {{119--144}},
  publisher    = {{L'Harmattan}},
  title        = {{{L'évolution de la visibilité des musulmans de France dans l'espace public et numérique }}},
  year         = {{2025}},
}

@inproceedings{61951,
  abstract     = {{<jats:title>ABSTRACT:</jats:title><jats:p>Digital transformation has reshaped the manufacturing sector, driving innovation and new business models. Simultaneously, sustainability pressures and stricter regulations push companies to adopt circular economy (CE) principles, focusing on reducing, reusing, and recycling materials. This transition requires adapting business models, product design, and management while integrating processes such as reverse logistics. Digital technologies play a crucial role by enabling data generation, processing, and analysis, optimizing production, and reducing resource use. However, many companies face knowledge gaps regarding how to implement these technologies effectively for CE. This study addresses these challenges through a systematic literature review, offering a framework that links digital technologies to CE principles, focusing on slowing, narrowing, and closing material loops.</jats:p>}},
  author       = {{Scholtysik, Michel and Rasor, Anja and Petzke, Lisa Irene and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{541--550}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{An integrative perspective on digital technologies and circular economy: a systematic literature review}}},
  doi          = {{10.1017/pds.2025.10068}},
  volume       = {{5}},
  year         = {{2025}},
}

@inproceedings{61948,
  abstract     = {{<jats:title>ABSTRACT:</jats:title><jats:p>Sustainability is no longer just a trend for companies, but is now seen as a mandatory measure for the environmentally friendly and responsible use of existing resources. The Digital Product Passport (DPP) is a transformative tool that aims to increase transparency and promote sustainability throughout the product lifecycle. This paper presents the 150% Information List, a comprehensive framework to help companies identify mandatory and optional data for the DPP. Using a systematic literature review, grey literature analysis and interviews with industry stakeholders, the study compiles 148 data points grouped by product relevance, availability and life cycle phase. The findings highlight the flexibility of the list to adapt to different industries and underline its potential to optimise resource use, meet regulatory requirements and drive innovation in product development.</jats:p>}},
  author       = {{Trienens, Malte and Orlowski, Valentin and Schröder, Luca and Hovemann, Aschot and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{2093--2100}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Information management for the digital product passport: a 150% approach}}},
  doi          = {{10.1017/pds.2025.10223}},
  volume       = {{5}},
  year         = {{2025}},
}

@inproceedings{61949,
  abstract     = {{<jats:title>ABSTRACT:</jats:title><jats:p>Facing increasingly dynamic market environments and global challenges such as climate change and resource scarcity, companies are under constant pressure to innovate and remain competitive. As technology is a key enabler, companies need to understand the drivers of technological change. Technology Foresight systematically identifies and analyzes emerging technologies to support engineering design decisions. However, the growing volume of data is outpacing manual processing capabilities. This research explores the integration of Generative AI to enhance Technology Foresight by automating technology analysis and information synthesis. This paper presents a comprehensive problem analysis, reviews existing solutions, and proposes a framework that demonstrates the potential of Large Language Models combined with a Retrieval Augmented Generation architecture to transform Technology Foresight.</jats:p>}},
  author       = {{Ellermann, Kai and Seidenberg, Tobias and Asmar, Laban and Knepler, Jonas and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{2221--2230}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Leveraging GenAI for technology foresight}}},
  doi          = {{10.1017/pds.2025.10236}},
  volume       = {{5}},
  year         = {{2025}},
}

@inproceedings{61952,
  author       = {{Wani, Bhavesh and Yee, Jingye and Eckertz, Daniel and Seidenberg, Tobias and Dumitrescu, Roman}},
  booktitle    = {{Seventeenth International Conference on Digital Image Processing (ICDIP 2025)}},
  editor       = {{Jiang, Xudong and Tian, Jindong and Poon, Ting-Chung and Wang, Zhaohui}},
  publisher    = {{SPIE}},
  title        = {{{Real-time object detection and localization for airport aprons}}},
  doi          = {{10.1117/12.3072877}},
  year         = {{2025}},
}

@inproceedings{61955,
  author       = {{Koldewey, Christian and Rohde, Malte Nick and Strobel, Gero and Vehmeyer, Julia Marie and Fichtler, Timm and Dumitrescu, Roman}},
  booktitle    = {{2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC)}},
  publisher    = {{IEEE}},
  title        = {{{Embedding Generative AI into Products – 10 Design Principles for Building Intelligent Systems}}},
  doi          = {{10.1109/ice/itmc65658.2025.11106522}},
  year         = {{2025}},
}

@inproceedings{61956,
  author       = {{Grote, Eva-Maria and Koldewey, Christian and Schwarz, Stefan Eric and Dumitrescu, Roman and Albers, Albert}},
  booktitle    = {{2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC)}},
  publisher    = {{IEEE}},
  title        = {{{Enabling Better Systems Through Better Teams: 27 Role Profiles for Engineering Advanced Systems}}},
  doi          = {{10.1109/ice/itmc65658.2025.11106533}},
  year         = {{2025}},
}

@inproceedings{61954,
  author       = {{Fichtler, Timm and Petzke, Lisa Irene and Grigoryan, Khoren and Dumitrescu, Roman and Koldewey, Christian}},
  booktitle    = {{2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC)}},
  publisher    = {{IEEE}},
  title        = {{{Digital Transformation of Organizational Entities}}},
  doi          = {{10.1109/ice/itmc65658.2025.11106627}},
  year         = {{2025}},
}

@article{61957,
  author       = {{Rasor, Anja and Koldewey, Christian and Dumitrescu, Roman}},
  journal      = {{Nachhaltige Industrie}},
  number       = {{2}},
  pages        = {{40--43}},
  publisher    = {{Springer Fachmedien Wiesbaden}},
  title        = {{{Mit digitalen Hebeln zur Kreislaufwirtschaft: Mit digitalen Hebeln zur Kreislaufwirtschaft}}},
  volume       = {{6}},
  year         = {{2025}},
}

@article{61989,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>Große Sprachmodelle wie GPT-4 bieten erhebliche Potenziale für das Systems Engineering. Prompt-Engineering ermöglicht einen flexiblen Einsatz im Anforderungsmanagement, Systementwurf und in der Integration, Verifikation und Validierung ohne aufwendiges Modelltraining. Die Formulierung von Prompts und die Anwendung fortschrittlicher Techniken erfordern jedoch tiefes Domänenwissen. Der Beitrag zeigt Potenziale und Herausforderungen dieser Technik auf und illustriert praktische Anwendungsbeispiele</jats:p>}},
  author       = {{Hovemann, Aschot and Bita, Isaac Mpidi and Aldade, Abed Alrahman and von Heißen, Oliver and Dumitrescu, Roman}},
  issn         = {{2511-0896}},
  journal      = {{Zeitschrift für wirtschaftlichen Fabrikbetrieb}},
  number       = {{s1}},
  pages        = {{101--106}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Prompt Engineering im Systems Engineering}}},
  doi          = {{10.1515/zwf-2024-0139}},
  volume       = {{120}},
  year         = {{2025}},
}

@inproceedings{61988,
  author       = {{Weller, Julian and Lick, Jonas and Brock, Jonathan and Heuwinkel, Tim and Hartmann, Stefan and Kühn, Arno and von Enzberg, Sebastian and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{223--228}},
  publisher    = {{Elsevier BV}},
  title        = {{{Advanced Analytics Capability Map for Smart Factories: Supporting the Planning, Design, Management and Operations of Advanced Analytics Use Cases}}},
  doi          = {{10.1016/j.procir.2025.03.025}},
  volume       = {{134}},
  year         = {{2025}},
}

@inproceedings{61986,
  author       = {{Rasor, Anja and Vehmeyer, Julia and Kirchberg, Lisa and Scholtysik, Michel and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{972--977}},
  publisher    = {{Elsevier BV}},
  title        = {{{Key performance indicator system for evaluating the circular economy along the value chain}}},
  doi          = {{10.1016/j.procir.2025.01.084}},
  volume       = {{135}},
  year         = {{2025}},
}

@inproceedings{61973,
  author       = {{Grigoryan, Khoren and Martin, Lucas and Lamarz, Jessica and Fichtler, Timm and Hohn, Bennett and Asmar, Laban and Kühn, Arno and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{838--843}},
  publisher    = {{Elsevier BV}},
  title        = {{{Product Management: Tasks, Roles, and the Importance of Data}}},
  doi          = {{10.1016/j.procir.2025.08.143}},
  volume       = {{136}},
  year         = {{2025}},
}

@inproceedings{61985,
  author       = {{Petzke, Lisa Irene and Rasor, Anja and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{912--917}},
  publisher    = {{Elsevier BV}},
  title        = {{{Untangling circular value networks - mechanisms, advantages, risks, and future research}}},
  doi          = {{10.1016/j.procir.2025.01.081}},
  volume       = {{135}},
  year         = {{2025}},
}

@inproceedings{61987,
  author       = {{Könemann, Ulf and Niemeyer, Marcel and Schierbaum, Anja and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{765--770}},
  publisher    = {{Elsevier BV}},
  title        = {{{A serious game to introduce Systems Engineering in interdisciplinary teams}}},
  doi          = {{10.1016/j.procir.2025.02.195}},
  volume       = {{134}},
  year         = {{2025}},
}

@inproceedings{61969,
  abstract     = {{<jats:p>Assessing and communicating software security has become a crucial concern in the era of digital transformation. As software systems grow more complex and interconnected, it becomes increasingly challenging to effectively evaluate and communicate a product's security status to both technical and non-technical stakeholders. The Software Product Health Assistant (SPHA) is designed to automatically collect and aggregate data from existing expert tools and derive, among other scores, a transparent Security Score. SPHA is designed to present and explain this Security Score to decision-makers to support their responsibilities. In this paper, we demonstrate how to integrate data from SMARAGD (System Modeler for Architectural Risk Assessment and Guidance on Defenses), a safety-informed threat modeling tool, into SPHA to enhance the existing definition of its Security Score. To achieve this, we combine information about known vulnerabilities with architectural and threat data to calculate a realistic risk score for the product in question.</jats:p>}},
  author       = {{Strüwer, Jan-Niclas and Trentinaglia, Roman and Wohlers, Benedict and Bodden, Eric and Dumitrescu, Roman}},
  booktitle    = {{AHFE International}},
  issn         = {{2771-0718}},
  publisher    = {{AHFE International}},
  title        = {{{Assessing and Communicating Software Security: Enhancing Software Product Health with Architectural Threat Analysis}}},
  doi          = {{10.54941/ahfe1006145}},
  volume       = {{168}},
  year         = {{2025}},
}

@inproceedings{61975,
  author       = {{Bita, Isaac Mpidi and Hermelingmeier, Dominik and Gröger, Stefan and Hovemann, Aschot and Pfeifer, Stefan and Henke, Christian and Dumitrescu, Roman and Trächtler, Ansgar}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{874--879}},
  publisher    = {{Elsevier BV}},
  title        = {{{SmartHomeFarming: Trends, Challenges, and Solutions in a Digital and Sustainable Future}}},
  doi          = {{10.1016/j.procir.2025.08.149}},
  volume       = {{136}},
  year         = {{2025}},
}

@inproceedings{61970,
  author       = {{Tissen, Denis and Bernijazov, Ruslan and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{1002--1007}},
  publisher    = {{Elsevier BV}},
  title        = {{{Towards a hybrid theory: Derivation of a view concept between Model-based Systems Engineering and Data Analytics}}},
  doi          = {{10.1016/j.procir.2025.08.170}},
  volume       = {{136}},
  year         = {{2025}},
}

@inproceedings{61974,
  author       = {{Hermelingmeier, Dominik and Bita, Isaac Mpidi and Menne, Leon and Jobelius, Johannes and Tichonov, Denis and Pfeifer, Stefan and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{844--849}},
  publisher    = {{Elsevier BV}},
  title        = {{{Maker Systems Engineering Systematic: A Practitioner-Driven Research Agenda}}},
  doi          = {{10.1016/j.procir.2025.08.144}},
  volume       = {{136}},
  year         = {{2025}},
}

@inproceedings{61971,
  author       = {{Fichtler, Timm and Petzke, Lisa Irene and Grigoryan, Khoren and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{985--990}},
  publisher    = {{Elsevier BV}},
  title        = {{{Success Factors in Product Management and the Role of Data}}},
  doi          = {{10.1016/j.procir.2025.08.167}},
  volume       = {{136}},
  year         = {{2025}},
}

