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ExpertiseUpdated on 5 June 2026

Smart Material

EU Project Manager at Hochschule Mittweida Universtity of Applied Sciences

Mittweida, Germany

About

Contact        

Prof. Dr.-Ing. Kristin Hockauf

Chair of Smart Materials

Mittweida University of Applied Sciences

Faculty Engineering Scienecs

Technikumplatz 17

09648 Mittweida

mail: hockauf@hs-mittweida.de

phone: +49 3727 58 1008

Research areas

  • machine learning for materials science

  • structure-property relationships

  • microstructure characterisation

  • microstructure segmentation

  • semantic segmentation

  • computer vision

  • image analysis in materials science

  • scientific machine learning

  • computational materials science

  • defect detection

  • texture / grain analysis

  • physics-informed machine learning

  • explainable AI (XAI) in materials science

Laboratory for materials analysis

  • mechanical materials testing (tensile, compression and bending tests)

  • hardness testing

  • notched bar impact test

  • metallography

  • fatigue testing

  • scanning electron microscopy

  • emission spectrometry

  • computed tomography

  • X-ray diffraction

  • non-destructive materials testing

Laboratory for computation

  • multiple GPU clusters equipped with NVIDIA A100 80GB GPUs and NVIDIA V100 32GB GPUs

Chair's website

https://www.inw.hs-mittweida.de/webs/wfq/smart-materials/

https://www.inw.hs-mittweida.de/webs/wfq/werkstofftechnik/

Field

  • Artificial Intelligence (AI)
  • Big data & analytics
  • Materials Science

Organisation

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