piwik-script

Intern
    Data Science Chair

    Andrzej Dulny, M.Sc.

    Andrzej Dulny, M.Sc.

    Chair of Data Science (Informatik X)
    University of Würzburg
    Am Hubland
    97074 Würzburg
    Germany

    Email: andrzej.dulny@uni-wuerzburg.de

    Phone: (+49 931)  31 - 81316

    Fax: (+49 931) 31 81316-0

    Projects and Research Interests

    I have been part of the DMIR Research Group since early 2021, after I received my master's degree in Mathematics at the University of Würzburg. I am working on applying Machine Learning and Neural Network models in the BigData@Geo project, where we work with time series and geospatial climate data. Our goal is to help the geography department to improve climate modeling using Machine Learning.

    Education

    • 2017–2020: M.Sc. Mathematics at the University of Würzburg
    • 2013–2016: B.Sc. Mathematics at the Jagiellonian University in Cracow

    Publications

    2021[ to top ]
    • Wankerl, S., Dulny, A., Götz, G., Hotho, A. (2021) Learning Mathematical Relations Using Deep Tree Models, in 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), 1681–1687, available: https://ieeexplore.ieee.org/document/9680206.
    • Kobs, K., Steininger, M., Dulny, A., Hotho, A. (2021) Do Different Deep Metric Learning Losses Lead to Similar Learned Features?, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 10644–10654.
    • Dulny, A., Hotho, A., Krause, A. (2021) NeuralPDE: Modelling Dynamical Systems from Data, available: http://arxiv.org/abs/2111.07671.
    2020[ to top ]
    • Dulny, A., Steininger, M., Lautenschlager, F., Krause, A., Hotho, A. (2020) Evaluating the multi-task learning approach for land use regression modelling of air pollution, in International Conference on Frontiers of Artificial Intelligence and Machine Learning, IASED.