Michael Färber/en

Dr. Michael Färber
Substitute Professor
Phone: +49 721 608 465 92
Email: michael faerber∂kit edu
Room: 5A-15 (Building: 05.20)

Research Group: Web Science
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Michael Färber is substitute professor of the research group Web Science at the KIT-institute AIFB since October 1, 2020.

Research

Michael's research interests:

natural language processing,
machine learning, and
knowledge representation (e.g., Semantic Web).

His current main focus is on scholarly data mining. More information can be found at his homepage and on Google Scholar.
Recently developed demonstration systems:

PaperHunter: http://paperhunter.net
ScholarSight: http://scholarsight.org
Linked Crunchbase: http://linked-crunchbase.org/

Recently created data sets:

unarXive: http://unarxive.org
Microsoft Academic Knowledge Graph: http://ma-graph.org

Open Positions and Theses

Open student assistant job (Hiwi) in the area of machine learning, natural language processing, and/or Semantic Web technologies: [1]

Current calls for Bachelor/Master thesis:

	Titel
Thema4420	Wie fair sind Forscher? Eine Analyse von Zerrungen bzgl. Zitaten in wissenschaftlichen Publikationen
Thema4421	Implementing an Approach for Linking Text to the Knowledge Graph Wikidata
Thema4423	Automatically Recommending Citations for Texts Using Neural Networks
Thema4482	How Do Successful Startups Look Like? Predicting the Success of Startups and Tech Companies
Thema4520	Learning Machine Learning-based Embeddings for Entities, States, and Events
Thema4554	Google, Microsoft, & Co. – How Big is the Influence of Enterprises on Computer Science Research?
Thema4574	Deep Learning + Knowledge Graphs

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.

Publications

Active Projects