Dr. Dominik Dürrschnabel

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

• On Tuesday, December 5th, I co-organize together with Tom Hanika and Johannes Hirth a tutorial at K-CAP 2023 on Ordinal Methods for Knowledge Representation and Capture (OrMeKR) in Pensacola, Florida, USA.

Publications

• Dürrschnabel, D., Hanika, T., Stumme, G.: Drawing Order Diagrams Through Two-Dimension Extension. Accepted to: Journal of Graph Algorithms and Applications. View PDF.
• Dürrschnabel D., Stumme, G.: Maximal Ordinal Two-Factorizations. In: ICCS 2023, 28th International Conference on Conceptual Structures. View PDF.
• Stumme, G., Dürrschnabel, D., and Hanika T.: Towards Ordinal Data Science. Accepted to: Transactions on Graph Data and Knowledge (TGDK). View PDF.
• Dürrschnabel D., Stumme, G.: Greedy Discovery of Ordinal Factors. Submitted. View PDF.
• Dürrschnabel D., Hanika T., Stumme, G.: Discovering Locally Maximal Bipartite Subgraphs. Submitted. View PDF.
• Dürrschnabel, D., Hanika, T., Stubbemann M.: FCA2VEC: Embedding Techniques for Formal Concept Analysis. In: Complex Data Analytics with Formal Concept Analysis pp 47–74. View PDF.
• Dürrschnabel D., Koyda M., Stumme G.: Attribute Selection using Contranominal Scales. In: ICCS 2021, 26th International Conference on Conceptual Structures. View PDF.
• Dürrschnabel, D. Stumme, G.: Force-Directed Layout of Order Diagrams Using Dimensional Reduction. In: ICFCA 2021, 16th International Conference on Formal Concept Analysis. View PDF.
• Stubbemann L., Dürrschnabel D., Refflinghaus R.: Neural Networks for Semantic Gaze Analysis in XR Settings. In: ETRA 2021, 13th ACM Symposium on Eye Tracking Research and Applications. View PDF.
• Dürrschnabel, D., Hanika, T., Stumme, G.: DimDraw -- A novel tool for drawing concept lattices. In: ICFCA 2019, Workshop "Applications and Tools of Formal Concept Analysis". View PDF.
• Axenovich, M., Dürrschnabel, D.: Subsets of vertices of the same size and the same maximum distance. In: Theory and Applications of Graphs: Vol. 5 : Iss. 2 , (2018), Article 7. View PDF.
• Demel A., Dürrschnabel D., Mchedlidze T., Radermacher M., Wulf L.: A Greedy Heuristic for Crossing-Angle Maximization. In: GD 2018, 26th International Symposium on Graph Drawing and Network Visualization, Track B. View PDF.

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

• Winter Semester 2023/24
• Lehrauftrag: Brückenkurs Elementare Mathematik, Hochschule Karlsruhe
• Vorlesung: Knowledge Discovery, Universität Kassel
• Lehrauftrag: Statistik, Hochschule Karlsruhe
• Summer Semester 2023
• Kursleitung: Clojure-Einführungskurs, Universität Kassel
• Übungsleitung: Conceptual Data Analysis, Universität Kassel
• Übungsleitung: Datenbanken, Universität Kassel
• Winter Semester 2022/23
• Lehrauftrag: Brückenkurs Elementare Mathematik, Hochschule Karlsruhe
• Laborleitung: Social Network Analysis, Universität Kassel
• Summer Semester 2022
• Lehrauftrag: Brückenkurs Elementare Mathematik, Hochschule Karlsruhe
• Kursleitung: Clojure-Einführungskurs, Universität Kassel
• Laborleitung: Information Retrieval, Universität Kassel
• Winter Semester 2021/22
• Lehrauftrag: Brückenkurs Elementare Mathematik, Hochschule Karlsruhe
• Laborleitung: Discrete Structures in Artificial Intelligence, Universität Kassel
• Summer Semester 2021
• Lehrauftrag: Brückenkurs Elementare Mathematik, Hochschule Karlsruhe
• Übungsleitung: Datenbanken, Universität Kassel
• Winter Semester 2020/21
• Lehrauftrag: Brückenkurs Elementare Mathematik, Hochschule Karlsruhe
• Übungsleitung: Social Network Analysis, Universität Kassel
• Summer Semester 2020
• Lehrauftrag: Brückenkurs Elementare Mathematik, Hochschule Karlsruhe
• Kursleitung: Clojure-Einführungskurs, Universität Kassel
• Übungsleitung: Datenbanken, Universität Kassel
• Winter Semester 2019/20
• Lehrauftrag: Brückenkurs Elementare Mathematik, Hochschule Karlsruhe
• Laborleitung: Knowledge Discovery, Universität Kassel
• Kursleitung: Python-Einführungskurs, Universität Kassel
• Summer Semester 2019
• Lehrauftrag: Brückenkurs Elementare Mathematik, Hochschule Karlsruhe
• Übungsleitung: Conceptual Data Analysis, Universität Kassel
• Kursleitung: Python-Einführungskurs, Universität Kassel
• Winter Semester 2018/19
• Lehrauftrag: Brückenkurs Elementare Mathematik, Hochschule Karlsruhe
• Übungsleitung: Introduction to Artificial Intelligence, Universität Kassel

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