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Anna-Sophia Wilde, M.Sc.

Anna-Sophia Wilde, M.Sc.
Anna-Sophia Wilde
a.wilde(at)tu-braunschweig.de

Institute of Machine Tools and Production Technology
Langer Kamp 19b
38106 Braunschweig
Germany

Office: Old Building, 2. OG, Room 214

Open Hybrid LabFactory e.V.
Hermann-Münch-Str. 2
38440 Wolfsburg
Germany

Office: 2. OG, Room 2.19

Fields of research

  • Data Mining in production
  • Visual Analytics
  • Life cycle oriented product development
  • Life Cycle Technologies

Current research projects

  • Life Cycle Technologies for hybrid structures (BMBF)
  • Gießerei 4.0

Teaching

  • Supervision of student projects
  • Assistance of the lecture Arbeitswissenschaft (AWi)

Student theses

Our system is currently under maintenance. Please see our complete list.

Publications

  • Wilde, Anna-Sophia; Wanielik, Felix; Rolinck, Maximilian; Mennenga, Mark; Abraham, Tim; Cerdas, Felipe; Herrmann, Christoph
    Ontology-based approach to support life cycle engineering: Development of a data and knowledge structure
    In: Procedia CIRP, Elsevier B.V., Amsterdam, 2022, Ausgabe 105, Seite 398-403, DOI 10.1016/j.procir.2022.02.066, Review: Ja
    Weitere Informationen
  • Steinberg, Julian; Gundlach, Christian; Wilde, Anna-Sophia; Wanielik, Felix; Hartwig, Sven; Herrmann, Christoph
    Lebenszyklusorientiert Entwicklung, Auslegung und Fertigung von Multimaterialbauteilen - Leitfaden für hybride Strukturen in der Kreislaufwirtschaft
    In: wt Werkstatttechnik online, VDI Fachmedien, Düsseldorf, 2022, Seite 701-706, DOI 10.37544/1436-4980-2022-10-71, Review: Nein
  • Wilde, Anna-Sophia; Gellrich, Sebastian; Mennenga, Mark; Abraham, Tim; Herrmann, Christoph
    Data-Driven Business Models for Life Cycle Technologies: Exemplary Planning for Hybrid Components
    In: Production at the Leading Edge of Technology, Dresden, September 2021, Springer Nature, Cham, 2021, Seite 488-496, DOI 10.1007/978-3-030-78424-9_54, Review: Ja
  • Gellrich, Sebastian; Filz, Marc-Andre; Wilde, Anna-Sophia; Beganovic, Thomas; Mattheus, Alexander; Abraham, Tim; Herrmann, Christoph
    Deep Transfer Learning for Improved Product Quality Prediction: A Case Study of Aluminum Gravity Die Casting
    In: Procedia CIRP, Elsevier B.V., Amsterdam, 2021, Ausgabe 104, Seite 912-917, DOI 10.1016/j.procir.2021.11.153, Review: Ja
    Weitere Informationen
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