Sebastian Sonntag
M.Sc.Sebastian Sonntag
sebastian.sonntag (at) uni-due.de
+49 (0) 203 379 3936
+49 (0) 203 379 4379
LinkedIn: Sebastian Sonntag
Raum: MA 267
Lebenslauf
Herr Sonntag absolvierte seinen Bachelor- und Masterabschluss im Studiengang Maschinenbau mit der Vertiefungsrichtung Mechatronik an der Universität Duisburg-Essen. Während seines Studiums war er bereits mehrere Jahre am Lehrstuhl für Produktentstehungsprozesse und Datenmanagement als studentische und wissenschaftliche Hilfskraft tätig. Seit 2021 arbeitet er als wissenschaftlicher Mitarbeiter am Lehrstuhl und forscht schwerpunktmäßig an der Identifikation von Anwendungspotenzialen von künstlicher Intelligenz in Produktentwicklungsprozessen.
Forschung und Lehre
Schwerpunkte
- Ermittlung von Anwendungspotenzialen künstlicher Intelligenz in Produktentwicklungsprozessen
Lehre
- RIPE - Rechnerintegrierte Produktentwicklung
- IDEEA - International Design and Engineering Project
Veröffentlichungen
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A Research Concept for the Generative Design for the Holistic Synthesis of Planar LinkagesIn: New Advances in Mechanisms, Transmissions and Applications: Proceedings of the 7th MeTrApp Conference 2025 / The 7th IFToMM Conference on Mechanisms, Transmission and Applications, 1-3 September 2025, Taiwan. Dordrecht: Springer Science and Business Media B.V., 2025, S. 227 – 237
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Did You Understand the Problem? : Evaluating Fine-Tuned Language Models for Identifying AI-Related Tasks in Product DevelopmentIn: Proceedings of the ASME Design Engineering Technical Conference: Volume 2B: 45th Computers and Information in Engineering Conference (CIE) / ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, August 17–20, 2025 Anaheim, California, USA. New York: American Society of Mechanical Engineers (ASME), 2025, v02bt02a031DOI (Open Access)
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Can large language models support machine learning implementation in product development? : A comparative analysis and perspectives
25th International Conference on Engineering Design (ICED25), 11 - 14 August 2025, Dallas,In: Proceedings of the Design Society, Jg. 5, 2025, S. 861 – 870DOI (Open Access) -
Machine Learning Applications for the Synthesis of Planar Mechanisms : A Comprehensive Methodical Literature ReviewIn: Proceedings of the 48th International Design Engineering Technical Conferences & Computers and Information in Engineering Conference: Volume 7 / 48th International Design Engineering Technical Conferences & Computers and Information in Engineering Conference; August 25–28, 2024; Washington, USA / The American Society of Mechanical Engineers (Hrsg.). New York City: ASME, 2024, V007T07A003
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A conceptual MCDA-based framework for machine learning algorithm selection in the early phase of product developmentIn: Proceedings of the Design Society, Jg. 4, 2024, S. 2257 – 2266DOI (Open Access)
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Machine Learning Applications for the Synthesis of Planar Mechanisms : A Comprehensive Methodical Literature ReviewIn: Proceedings of the ASME Design Engineering Technical Conference: Volume 7: 48th Mechanisms and Robotics Conference / ASME 2024 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, August 25–28, 2024, Washington, DC, USA. New York: American Society of Mechanical Engineers (ASME), 2024, v007t07a003
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A pattern language approach to identify appropriate machine learning algorithms in the context of product development
International Conference on Engineering Design (ICED23), 24-28 July 2023, Bordeaux, France,,In: Proceedings of the Design Society, Jg. 3, 2023, S. 365 – 374DOI (Open Access) -
Augmented Reality in Anwendungen der SeilrobotikIn: Achte IFToMM D-A-CH Konferenz 2022 : 24./25. Februar 2022, Online-Konferenz / 8. IFToMM D-A-CH Konferenz 2022, 24.-25. Februar 2022, Online-Konferenz / Universität Duisburg-Essen (Hrsg.). Duisburg, Essen: DuEPublico, 2022, S. 92 – 94DOI, Online Volltext (Open Access)