• Short Bio

    Tanya Braun is an assistant professor at the University of Münster. She successfully completed her B.A. hons. degree in business administration before studying Computational Informatics ata the Hamburg University of Technology. Following the completion of her M.Sc. degree, she received a doctorate degree (Dr. rer. nat.) from the University of Lübeck in the area of computer science for the dissertation "Rescued from a Sea of Queries - Exact Inference in Probablistic Relational Models". Her research interests are primarily in the areas of statistical relational AI, human-aware decision making and text understanding. With the newest edition, she became a co-editor of the German textbook "Handbuch der Künstlichen Intelligenz" (engl. Handbook on Artificial Intelligence).

 
  • Further Scientific Activities

    Editorial

    • Handbuch der Künstlichen Intelligenz, 6th edition, in collaboration with Günther Görz and Ute Schmid, publisher: De Gruyter, link to publisher book page here

    • Special Issue on AI for Healthcare and the Public Sector, KI - Künstliche Intelligenz (German Journal of Artificial Intelligence), in collaboration with Ralf Möller, publisher: Springer

    • Special Issue on Conceptual Structures, Annals of Mathematics and Artificial Intelligence, in collaboration with Mehwish Alam, Dominik Endres, and Bruno Yun, publisher: Springer

    Conference organisation

    • Special Track Uncertain Reasoning, 37th International FLAIRS Conference (FLAIRS 2024), Miramar Beack, Florida, USA, Track co-chair together with Kai Sauerwald, University of Hagen
    • 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023), Rhodes, Greece, Doctoral Consortium Chair (call)
    • 27th International Conference on Conceptual Strucutres, September, Münster, Germany (ICCS 2022), General Chair
    • 44th German Conference on Artificial Intelligence, September 27-October 1, 2021, Berlin, Germany (KI2021), Workshop & Tutorials Chair, Webauftritt
    • 26th International Conference on Conceptual Strucutres, September, Bolzano, Italy (ICCS 2021), General Chair
    • 43rd German Conference on Artificial Intelligence, September 21–25, 2020, Bamberg, Germany (KI2020), Doctoral Consortium Chair
    • 25th International Conference on Conceptual Strucutres, September 18-21, Bolzano, Italy (ICCS 2020), Co-Program Chair

    Reviewing

    • Conferences (PCs): AAAI, ECML, ICCS, IJCAI, ISWC, KI, KR, AISTATS
    • Workshops: DL, FCR
    • Journals: BDR, JAIR, KAIS, ML

    Tutorials & Workshops

  • Teaching

    Lectures

    • Introduction into Artificial Intelligence [EKI] (BA electoral, German, 3lect, 1ex, summer 2022)
    • Data Science [DS] (BA electoral, German, 3lect, 1ex, start planned in summer 2023 not yet determined)
    • Databases [DB] (BA compulsory, German, 3lect, 2ex, start in summer 2023)
    • Automated Planning and Acting [APA] (MA electoral, English, 3lect, 1ex, since winter 2021/22, alternating with StaRAI)
    • Statistical Relational Artificial Intelligence [StaRAI] (MA electoral, , English, 3lect, 1ex, since winter 2022/23, alternating with APA)

    A complete list of all teaching activities of the research group at the University of  Münster as well as more details on newer iterations can be found under Teaching.

    Thesis and Student Projects

    A list of thesis projects can be found here.

    Previous Teaching Activities

    Lectures

    Exercises 

    Student Projects

    • Moritz Hoffmann: Preparation of the project code of LJT and LDJT; see LJT Implementation and LDJT Implementation

    • Florian Marwitz: Compactifing probability distributions for generating rules; see publication

    • Tristan Potten: Framework for benchmarking algorithms for query answering in probabilistic models from generation of models to collecting statistics; see GitHub project and publication

    Co-supervised Thesis Projects

    • Moritz Hoffmann: Lifted Division of Parametric Factors for Lifted Inference (Master thesis; publication)
    • Florian Marwitz: Compactification of Probabilistic Distributions (Bachelor thesis)