FFG COMET Center for Integrated Computational Materials, Process and Product Engineering (COMET IC-MPPE)

Research Grant
Research Grant

Summary: This project is a collaboration with the Materials Center Leoben (MCL), who is coordinating this effort, and a couple of partner institutions, including University of Technology, Graz, Austria. The main research question is how to use machine learning techniques for industrial condition monitoring with the main goal to extend lifetime of machinery by continuous monitoring and assessment of state. Within this collaboration we are most concerned with finding resource-efficient neural networks to make them inline with embedded systems close to the point of interest.

While the first phase (2018-2021) was mainly considering state-of-the-art neural networks for the prediction task, such as convolutional or residual ones, in the second phase (2022-2024) the focus shifted to probabilistic models to also capture uncertainty.

The project has received funding by “Österreichische Forschungsförderungsgesellschaft mbH (FFG)”, Austria.

Current people

  • Holger Fröning (co-PI)
  • Bernhard Klein (PhD student)
  • Tamara Bucher (master student)

Past people

  • Lisa Kuhn (master student)
  • Falk Selker (master student)
  • Jonathan Bernhard (bachelor student)
  • Torben Krieger (master student)
  • Florian Brunner (master student)


  • Manfred Mücke (MCL, co-PI)
  • Christoph Gratl (MCL, researcher)
  • Franz Pernkopf (University of Technology, Graz, Austria, co-PI)
  • Sophie Steger (University of Technology, Graz, Austria, PhD student)




  1. Torben Krieger, Bernhard Klein and Holger Fröning
    Towards Hardware-Specific Automatic Compression of Neural Networks
    CoRR, abs/2212.07818, 2022
      author = {Krieger, Torben and Klein, Bernhard and Fr{\"{o}}ning, Holger},
      title = {Towards Hardware-Specific Automatic Compression of Neural Networks},
      journal = {CoRR},
      volume = {abs/2212.07818},
      year = {2022},
      url = {https://doi.org/10.48550/arXiv.2212.07818}
      doi = {10.48550/ARXIV.2212.07818},
      eprinttype = {arXiv},
      eprint = {2212.07818},
      timestamp = {Mon, 02 Jan 2023 00:00:00 +0100},


  1. Bernhard Klein, Christoph Gratl, Manfred Mücke and Holger Fröning
    Understanding Cache Boundness of ML Operators on ARM Processors
    CoRR, abs/2102.00932, 2021
      author = {Klein, Bernhard and Gratl, Christoph and M{\"{u}}cke, Manfred and Fr{\"{o}}ning, Holger},
      title = {Understanding Cache Boundness of {ML} Operators on {ARM} Processors},
      journal = {CoRR},
      volume = {abs/2102.00932},
      year = {2021},
      url = {https://arxiv.org/abs/2102.00932}
      eprinttype = {arXiv},
      eprint = {2102.00932},
      timestamp = {Thu, 14 Oct 2021 01:00:00 +0200},