Raphael Fischer
Currently working on
- Interdisciplinary study on AI labeling approaches - LOOKING FOR INTERWIEW PARTNERS!
- automated model selection / meta learning (papers accepted at KDD & ECML '24)
- finishing my PhD and writing the dissertation
- exploring AI opportunities for industrial pump manufacturing at Wilo (2022 - now)
Recent works
- stress-testing USB accelerators for inference on the edge (2023)
- 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
- Interdisciplinary work (science communication, experts in the loop, ...)
Links & Social Media
- Oct 24th '23 - presented More Comprehensible Communication via Explainability Labels (work in progress) at AISoLA (Crete)
- Oct 9th '23 - attended BIFOLD's All Hands Meeting of the German AI Centers and presented my work in the Trustworthy and Explainable AI session (Berlin)
- Sep 25th '23 - co-organized an event on Sustainability in the Age of AI as part of the Digitalwoche (Dortmund)
- Aug 23rd '23 - hosted a two-day Lamarr Institute's AI4Schools Workshop (Dortmund)
- Jul 19th '23 - presented work at the Visit of BMBF and MKW State Secretaries (Dortmund)
- Jun 14th '23 - initiated the work on our new local team page
- Feb 13th '23 - presented work on Energy Efficiency Considerations for Popular AI Benchmarks at AI for Energy Innovation Workshop (as part of AAAI)
- Jan 11th '23 - contributed blog post on Energy Labels: Energieeffizienz im ML
04/2024: Travelling with Lamarr US Delegation Visit
- selected member of the delegation team
- visited multiple research groups in New York City, Pittsburgh and St. Louis
- strengthened and established international contacts
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)