piwik-script

Intern
    Data Science Chair

    Michael Steininger, M.Sc.

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

    Email:  steininger@informatik.uni-wuerzburg.de

    Phone: (+49 931)  31 - 89482

    Office: Room B108 (Computer Science Building M2)

    Projects and Research Interests

    I joined the DMIR group for my PhD studies after receiving my master's degree in Computer Science at the university of Würzburg in early 2018. As a member of the BigData@Geo project, I am working on climate and air pollution modeling using machine learning techniques.

    Teaching

    Summer Term 2020:

    Summer Term 2019:

    Winter Term 2018/19:

    Summer Term 2018:

    Awards

    • Best ML Innovation Award: "Deep Learning for Climate Model Output Statistics", Michael Steininger, Daniel Abel, Katrin Ziegler, Anna Krause, Heiko Paeth, Andreas Hotho at Tackling Climate Change with Machine Learning Workshop at NeurIPS 2020 (link)
    • Best Student Paper Award: "Evaluating the multi-task learning approach for land use regression modelling of air pollution", Andrzej Dulny, Michael Steininger, Florian Lautenschlager, Anna Krause, Andreas Hotho at FAIML 2020

    Publications

    2020

    • Deep Learning for Climate... - Download
      Anomaly Detection in Beehives using Deep Recurrent Autoencoders. Davidson, Padraig; Steininger, Michael; Lautenschlager, Florian; Kobs, Konstantin; Krause, Anna; Hotho, Andreas (2020). 142–149.
       
    • Evaluating the multi-task learning approach for land use regression modelling of air pollution. Dulny, Andrzej; Steininger, Michael; Lautenschlager, Florian; Krause, Anna; Hotho, Andreas (2020).
       
    • Anomaly Detection in Beeh... - Download
      SimLoss: Class Similarities in Cross Entropy. Kobs, Konstantin; Steininger, Michael; Zehe, Albin; Lautenschlager, Florian; Hotho, Andreas (2020).
       
    • OpenLUR: Off-the-shelf air pollution modeling with open features and machine learning. Lautenschlager, Florian; Becker, Martin; Kobs, Konstantin; Steininger, Michael; Davidson, Padraig; Krause, Anna; Hotho, Andreas in Atmospheric Environment (2020). 233 117535.
       
    • MapLUR: Exploring a New P... - Download
      Deep Learning for Climate Model Output Statistics. Steininger, Michael; Abel, Daniel; Ziegler, Katrin; Krause, Anna; Paeth, Heiko; Hotho, Andreas in Tackling Climate Change with Machine Learning Workshop at NeurIPS 2020 (2020).
       
    • MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images. Steininger, Michael; Kobs, Konstantin; Zehe, Albin; Lautenschlager, Florian; Becker, Martin; Hotho, Andreas in ACM Trans. Spatial Algorithms Syst. (2020). 6(3)
       

    2018

    • EveryAware Gears: A Tool ... - Download
      EveryAware Gears: A Tool to visualize and analyze all types of Citizen Science Data. Lautenschlager, Florian; Becker, Martin; Steininger, Michael; Hotho, Andreas D. Burghardt, S. Chen, G. Andrienko, N. Andrienko, R. Purves, A. Diehl (eds.) (2018).