This image shows Julian Ziegler

M.Sc.

Julian Ziegler

Researcher
IPVS
Applications of Parallel and Distributed Systems

Contact

+4971168588277

Business card (VCF)

Universiätsstraße 38
D-70569 Stuttgart
Deutschland
Room: 2.328

Office Hours

on appointment

Subject

Working Area: ICT Platform for Manufacturing.

Computer-aided engineering (CAE) applications support the digital transformation of the manufacturing industry. They facilitate virtual product development and product testing via computer simulations. CAE applications generate vast quantities of heterogeneous data. Domain experts struggle to access and analyze them, because such engineering data are not sufficiently described with metadata. Moreover, data in companies are often separated into silos and difficult to find by domain experts.
In this project, Julian Ziegler identifies unsolved challenges for a data and metadata management that is tailored to the CAE domain. Ziegler proposes a metadata model that addresses all challenges and provides a connected view on all CAE data, metadata, and work activities of virtual product development projects. A prototypical implementation of this metadata model is already being applied to a real-world use case of the industry partner. This shows how the metadata eases the task of domain experts to discover relevant data for their applications. Furthermore, the metadata model enables a variety of new use cases for data analytics. It couples different data silos and for instance enables a feedback loop, where computer simulations are automatically optimized by analyzing test bench data. Going further, data analyses can directly use the metadata structure to provide added value without having to access the big amounts of CAE data. Thus, process structures in development projects can be analyzed with little effort, for example to identify good or inefficient processes in development projects.

  1. Ziegler, J., Reimann, P., Keller, F., Mitschang, B.: A Metadata Model to Connect Isolated Data Silos and Activities of the CAE Domain. In: La Rosa, M., Sadiq, S., and Teniente, E. (eds.) Advanced Information Systems Engineering. pp. 213--228. Springer International Publishing, Cham (2021). https://doi.org/10.1007/978-3-030-79382-1_13.
  2. Ziegler, J., Reimann, P., Keller, F., Mitschang, B.: A Graph-based Approach to Manage CAE Data in a Data Lake. In: Procedia CIRP: Proceedings of the 53rd CIRP Conference on Manufacturing Systems (CIRP CMS 2020). pp. 496–501. Elsevier (2020). https://doi.org/10.1016/j.procir.2020.04.155.

Ongoing student projects

  • Evaluation of Deep Learning Approaches for Data-Driven Surrogate Modeling of CAE-Simulations
    Master Thesis, University of Stuttgart, 2021
  • Design and Implementation of a Tool for the Extraction of Metadata from Heterogeneous Data of Computer-Aided Engineering
    Bachelor Thesis, University of Stuttgart, 2021
  • Design and Implementation of a Tool for the Visualization of Metadata of Computer-Aided Engineering
    Bachelor Thesis, University of Stuttgart, 2021

Completed student projects

  • Visualization and Exploration of Data with Graph-based Metadata Management
    Bachelor Research Project Computer Science, University of Stuttgart, 2020
  • Approximation of computationally expensive simulations through data-driven surrogate models
    Bachelor Thesis, University of Stuttgart, 2020
  • Concept for an Ontology to Describe Data of the CAE Domain
    Bachelor Thesis, University of Stuttgart, 2020
  • A Software Architecture for Graph-based Metadata Management for CAE Data
    Master Thesis, University of Stuttgart, 2020
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