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• Data Mining and Machine Learning

  • Univ.-Prof. Dr. Claudia Plant
    
    Research Focus:
    • knowledge discovery from data
    • data mining
    • mining massive and complex data, e.g. time series, graphs, heterogeneous data
    
    More information can be found at:
    https://cs.univie.ac.at/Claudia.Plant/

  • Univ.-Prof. Dr. Benjamin Roth, B.Sc. M.Sc.
    
    Research Focus:
    • Deep learning & statistical natural language processing
    • Large language models
    • Text analysis for the Digital Humanities
    • Weakly supervised information extraction
    • Knowledge graphs, knowledge-base population from text 
    
    More information can be found at:
    https://www.benjaminroth.net/

  • Ass.-Prof. Dipl.-Ing. Dr. techn. Sebastian Tschiatschek
    
    Research Focus:
    Machine learning with a focus on probabilistic models:
    •    Probabilistic models for combinatorial objects (mainly sets, but also graphs)
    •    Variational approaches for generative models (e.g., variational autoencoders)
    •    Active information acquisition and Bayesian experimental design
    •    Exploration in reinforcement learning
    •    Inverse reinforcement learning
    
    More information can be found at:
    https://www.tschiatschek.net

  • Ass.-Prof. Dr. Yllka Velaj   
    
    Research Focus:
    • Exploratory data analysis
    • Unsupervised methods, e.g. clustering
    • Mining massive and complex data, e.g. graphs, heterogeneous data
    • Social network analysis
    • Analysis of information diffusion processes
    
    More information can be found at:
    https://dm.cs.univie.ac.at/team/person/111869/
• Research Group Neuroinformatics

  • Univ.-Prof. Dr.-Ing Moritz Grosse-Wentrup
    
    Research Focus
    Neuroinformatics
    
    More information can be found at
    https://ni.cs.univie.ac.at
• Research Group Security & Privacy

  • Univ.-Prof. Dr. Edgar Weippl
    
    Research Focus
    Security, Privacy, Blockchain security, Security in Production Systems Engineering
    
    More information can be found at
    https://sec.cs.univie.ac.at/team/person/83163/
• Visualization and Data Analysis

  • Univ.-Prof. Torsten Möller
    
    Research Group
    Our main focus is Visual Data Analysis. There is a range of topics that deal with how lay people understand data visualizations. We are working together with Data Journalists on design guidelines for good DataVis for broad audiences. We develop measurement instruments on how to quickly assess visual literacy. Collaborations have ranged from different news papers, to the Austrian Parlament and ministries, to UN Agencies and local companies.
    
    More information can be found at
    http://cs.univie.ac.at/torsten.moeller