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* [ Abstract of Michael Färber's AIFB Colloquium talk about his PhD topic]

Aktuelle Version vom 2. März 2020, 19:55 Uhr

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Michael Färber is the deputy professor (W3) of the research group Web Science at the KIT-institute AIFB since October 1, 2020.

He is also a Helmholtz AI Associate.


Michael's research interests:

  • natural language processing,
  • machine learning, and
  • knowledge representation (e.g., knowledge graphs).

Current research foci:

More information can be found at his homepage and on Google Scholar.

Recently developed demonstration systems:

Recently created data sets:

Open Positions and Theses

Open student assistant job (Hiwi) in the area of machine learning, natural language processing, and/or Semantic Web technologies: [1]
Michael Färber has supervised around 40 Bachelor/Master theses. Current calls for Bachelor/Master thesis:

Thema4420Wie fair sind Forscher? Eine Analyse von Zerrungen bzgl. Zitaten in wissenschaftlichen Publikationen
Thema4421Implementing an Approach for Linking Text to the Knowledge Graph Wikidata
Thema4423Automatically Recommending Citations for Texts Using Neural Networks
Thema4574Deep Learning + Knowledge Graphs
Thema4771Analyzing the Influence of Enterprises and Countries on AI Research
Thema4772GPT-3, BERT & Co.: When to use which language model?

All topics are open to English and German-speaking students.
Many of the thesis topics can also be written at a partner institution abroad (e.g. in Japan, Italy, France) and funded by the DAAD, given that the application is made one year in advance. More information under Web_Science/DAAD-Stipendium/en.



Active Projects

AI in Peacemaking
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Research area
Semantic Search, Knowledge Representation And Reasoning, Machine Learning, Text Mining, Semantical Annotation, Information Extraction, Natural Language Processing, Digital Libraries, Knowledge Discovery, Data Mining, Artificial Intelligence, Data Science, Semantic Web, Trustworthy AI

KIT Functions and Competence Field

Cognition and Information Engineering