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Imke Krauhausen graduated with a Masters degree in electrical engineering from RWTH Aachen University (Germany). Her master thesis focused on unsupervised deep learning algorithms for the segmentation of tumors in brain MRI data. During her BSc she specialized in micro and nano electronics. Continuing this path she focused her semester abroad at Linköping University (Sweden) on learning about the physics behind nano electronics. Fusing her interests in micro-/nanoelectronics and neural networks she started her PhD as a joined project between the Max-Planck-Institute for polymer research in Mainz (Germany) and TU Eindhoven (NL) in November 2019. As part of the neuromorphic engineering group at TU/e she works on neuromorphic organic arrays for brain-inspired smart robotics and sensors.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

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