Dr. Dominik Dürrschnabel

Portrait Image

Room 0445A
University of Kassel
De­part­ment of Elec­trical En­gin­eer­ing and Com­puter Sci­ence
Knowledge and Data Engineering Group
Wilhelmshöher Allee 73
34121 Kassel

Tel.: +49 561 804-6298
Fax.: +49 561 804-6259
Email: duerrschnabel@cs.uni-kassel.de

I am a post-doctoral researcher at Knowledge and Data Engineering Group of the University of Kassel in the field of knowledge discovery. My research interests focus on graph drawing, data visualization, formal concept analysis, and machine learning. I am always seeking new opportunities to collaborate with other researchers and expand my knowledge.

Upcoming

Publications

Talks

  • September 12, 2023: Maximal Ordinal Two-Factorizations. International Conference on Conceptual Structures 2023, Berlin, Germany.
  • September 21, 2021: Attribute Selection using Contranominal Scales. International Conference on Conceptual Structures 2021, Online.
  • September 1, 2021: Attribute Selection using Contranominal Scales. Workshop "Knowledge Discovery and Machine Learning" - Lernen. Wissen. Daten. Analysen. - Learning. Knowledge. Data. Analytics. 2021, Online.
  • June 30, 2021: Force-Directed Layout of Order Diagrams using Dimensional Reduction. International Conference on Formal Concept Analysis 2021, Online.
  • June 25, 2019: DimDraw – A novel tool for drawing concept lattices. Workshop "Applications and Tools of Formal Concept Analysis" - International Conference on Formal Concept Analysis 2019, Frankfurt, Germany.

Reviewing

  • Program Chair
    • International Conference on Formal Concept Analysis 2023 (ICFCA 2023)
  • Program Committee
    • European Conference on Artificial Intelligence 2023 (ECAI 2023)
  • Subreviewer
    • International Semantic Web Conference 2020 (ISWC 2020)
    • International Conference on Conceptual Structures 2020 (ICCS 2020)
    • European Conference on Artificial Intelligence 2020 (ECAI 2020)
    • Russian Conference on Artificial Intelligence 2019 (RCAI 2019)
    • ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2019 (KDD 2019)
    • ACM Conference on Web Science (WebSci'19)

Teaching

Curriculum Vitae

  • Research Positions
    • Research Assistant (since 11/2018)
      Knowledge and Data Engineering Group
      Department of Electrical Engineering and Computer Science
      University of Kassel, Germany
  • Education
    • Dr. rer. nat. (PhD) (11/2018 – 05/2023)
      Area: Computer Science
      At: University of Kassel, Germany
      Thesis title: Explaining and Visualizing Structural Knowledge in Bipartite Graphs
    • Master of Science (2016 – 2018)
      Major: Mathematics, Minor: Computer Science
      At: KIT - Karlsruhe Institute of Technology, Germany
      Thesis title: Distance Structure of Graphs
    • Bachelor of Science (2012 – 2016)
      Major: Mathematics, Minor: Computer Science
      At: KIT - Karlsruhe Institute of Technology, Germany
      Thesis title: Homometric Sets in Graphs