Raphael Fischer
Currently Working On
- Publishing my dissertation (already defended)
- Interdisciplinary development and evaluation of AI labeling
- Automated model selection / meta learning (papers accepted at KDD & ECML '24)
- Leading young talents to use AI for good
Recent Projects
- Exploring AI opportunities for industrial pump manufacturing at Wilo (2022 - 2025)
- Stress-testing USB accelerators for inference on the edge (2024)
- Comprehensible AI and ML reporting via labels (2024)
- Assessing ML model efficiency, in analogy to EU energy labels (2022)
Other Interests
- International cooperation (voluntary work as international coordinator of the faculty)
- Everything explainability, sustainability, responsibility, ...
- Interdisciplinary work (science communication, experts in the loop, ...)
Links & Social Media
CV | LinkedIn | Google Scholar | GitHub | X / Twitter
02/2025: Visited Geoff Webb at Monash University (Melbourne, Australia)
- initiated a collaboration on sustainable time series classification (forthcoming)
- finalized my PhD
04/2024: Travelling with Lamarr Delegation Visit (East Coast, US)
- 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
- Sep 12th '24 - presented Towards More Sustainable and Trustworthy ML Reporting at ECML-PKDD (Vilnius)
- Sep 10th '24 - presented Meta-Learning from Model Quality and Resource Consumption at ECML-PKDD (Vilnius)
- Aug 27th '24 - presented Automated Multi-Objective Model Selection for Time Series Forecasting at KDD (Barcelona)
- Oct 24th '23 - presented More Comprehensible Communication via Explainability Labels at AISoLA (Crete)
- Feb 13th '23 - presented Energy Efficiency Considerations for Popular AI Benchmarks at AAAI (Washington DC)
- Sep 23th '22 - presented A Unified Framework for Assessing ML Energy Efficiency at ECML-PKDD (Grenoble)
- Oct 8th' 20 - presented Probabilistic Gap Filling in Satellite Image Series at DSAA (Sydney / online)
- Sep 10th '20 - presented Solving Abstract Reasoning Tasks with Grammatical Evolution at LWDA 2020 (Bonn / online)
- Oct 1st '19 - presented Parameter Sharing for Spatio-Temporal Process Models at LWDA 2019 (Berlin)
- May 29th '24 - Attended the Speed Dating on Trustworthy AI (Bochum)
- May 6th '24 - Participated in the Lamarr Lab Visits (Bonn)
- Nov 27h '23 - Attended the Machine Learning meets Physics - Interdisciplinary Event (Dortmund)
- Nov 7th '23 - Participated in the Lamarr Lab Visits (Dortmund)
- Oct 9th '23 - Attended the German AI Centers' All Hands Meeting (Berlin), with a talk on Trustworthy and Explainable AI
- 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
- Jan 11th '23 - Contributed blog post on Energy Labels: Energieeffizienz im ML
- 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)