Ricardo Usbeck

Professor For Information Systems, In Particular AI And Explainability

Lüneburg, Lower Saxony, Germany
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Summary

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Ricardo Usbeck is a full professor specializing in AI and explainability with 13 years of research and leadership experience bridging symbolic knowledge graphs and modern neural methods for socially beneficial information systems. Based at Leuphana University of Lüneburg after a junior professorship at Universität Hamburg and roles at Fraunhofer and InfAI, he leads projects that combine semantic web technologies with LLMs and deep learning to close the gap between human reasoning and machine intelligence. He has a PhD in Computer Science from Universität Leipzig and a track record as a project and team leader on national and European initiatives, including the coypu project and e-vita.coach. Beyond academia, he serves on the board of HITeC, reflecting engagement with applied informatics ecosystems, and is noted for integrating explainability into practical semantic systems rather than treating it as only theoretical work.
code13 years of coding experience
bookDr. rer. nat. (Ph.D.), Computer Science, Dr. rer. nat. (Ph.D.), Computer Science at Universität Leipzig
bookMaster of Science - M. Sc., Informatik, Master of Science - M. Sc., Informatik at Martin-Luther-Universität Halle-Wittenberg
languagesGerman, English
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Github Skills (125)

benchmark10
entity-linking10
datasets10
rex10
in-progress10
disambiguation10
nlp10
entity10
dbpedia10
benchmarking10
question-answering10
named-entity-recognition10
linked-data10
annotator10
turkish10

Programming languages (12)

JavaCSSCTeXScalaVueJavaScriptHTML

Github contributions (5)

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dice-group/AGDISTIS

May 2013 - Mar 2022

AGDISTIS - Agnostic Named Entity Disambiguation
Contributions:120 commits, 7 PRs, 26 pushes in 9 years
nlpagnosticentitydisambiguationentity-disambiguation
https://www.nliwod.org/
Contributions:1 review, 15 PRs, 43 pushes in 1 year 1 month
jekyllsemantic
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Ricardo Usbeck - Professor For Information Systems, In Particular AI And Explainability