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Martin Uray

Titel/Grad: DI, BSc

Funktion: Lecturer

    Competences:
    • Data Analytics
    • Machine Learning
    • Topological Machine Learning
    • Reinforcement Learning
      Courses:
      • Data Analysis with Python (WS, ITS-B and ITSB-B)
      • Hardware Oriented Signal Processing (WS, Bridge Course for the program AISP)
      • Reinforcement Learning & Applied Reinforcement Learning (WS, ITS-M, ITSB-M, BIN, AISP)
      • Machine Learning (SS, ITS-M, ITSB-M, BIN, AISP)
      • Current Trends in AI (SS, ITS-M, ITSB-M, BIN)
      Open Student Hours SS23:
      • Tuesday, 10.00am - 11.30am, or
      • before and after classes (if time).
      • Exceptions:
        • March, 28th online only
        • April, 4th
        • May, 2nd, 23rd, and 30th
      • last scheduled Student Hours in Summer Term: June, 27th  (after this date only on appointment)
      • During these hours, if I am in my office, just come in! You can also call me on MS TEAMs during this time. If I don’t answer immediately, I will come back to you as soon as I can!

       

      Research

      I am part of the Josef-Ressel-Center for Intelligent and Secure Industry Automation (ISIA), where I work on novel Machine Learning Algorithms for the application within the industrial setting. My focus here is mainly on the intersection of Machine Learning and Topological Information. I am also offering Bachelor and Master Thesis within the context of my research.

       
      Selected Publications:

      For all publications, please be referred to https://martin.uray.at or Google Scholar.

       

      Contact information:
      fon:  +43 (0)50-2211-1304
      fax: +43 (0)50-2211-1349
      email: martin.uray@fh-salzburg.ac.at
      website: https://martin.uray.at

      Martin Uray

      Martin Uray (Foto: FH Salzburg)