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Department of Com­pu­ter Science
Research associate

Raphael Fischer

Currently working on

Recent works

  • comprehensible reporting of machine learning results and model properties via (care) labels (2022)
  • assessing model efficiency to make machine learning more resource-aware, in analogy to EU energy labels (2022)

Also interested in

  • International cooperation (voluntary work as international coordinator of the Computer Science faculty)
  • Explainability, sustainability
  • Inter-disciplinary work (science communication, expert in the loop, ...)

Social media

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02/2022: Research visit at Carnegie Mellon University (Pittsburgh, US)
  • exchange with Emma Strubell and her lab
  • discussed resource-awareness and sustainability of modern machine learning
09/2018 - 03/2019: Master thesis / research visit at Monash University (Melbourne, Australia)
  • collaborative work with Geoff Webb's team on filling satellite image gaps with probabilistic models
  • joint work published and presented at DSAA 2020
  • since 02/2022: Strategic partnership with Wilo SE (expanding the use of AI for pump manufacturing)
  • since 06/2019: PhD student & research associate @ TU Dortmund University
  • 03/2019: Received M.Sc. in computer science from TU Dortmund University
  • 09/2018 - 03/2019: Research visit @ Monash University (Melbourne, Australia), working with Prof. Geoff Webb
  • 07/2017 - 08/2018: Part-time student intern for Capgemini & Qiagen
  • 09/2016: Received B.Sc. in computer science from TU Dortmund University
  • 07/2013: Bi-lingual high school graduation (Abitur)