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Artificial Intelligence in Spectroscopy and Microscopy – Professor Dr. Thomas Bocklitz

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Prof. Dr. Thomas Bocklitz Prof. Dr. Thomas Bocklitz
Prof. Dr. Thomas Bocklitz

Faculty of Mathematics, Physics & Computer Science
Artificial Intelligence in Microscopy and Spectroscopy


CV

  • from 15.03.2023: W3 Professorship for Artificial Intelligence in Microscopy and Spectroscopy, University of Bayreuth, Bayreuth, Germany.
  • from 09/2019: Leibniz-IPHT, Head of Department Photonic Data Science, Jena, Germany
  • 06/2013 - 08/2019: Junior Research Group Leader Statistical Modeling and Image
    Analysis at the Institute of Physical Chemistry at the University of Jena,
    Germany
  • 01/2008 - 11/2011: PhD at the Institute of Physical Chemistry at the University of Jena, Germany, PhD thesis: Investigations on the evaluation strategies of Raman effect based experiments
Prof. Dr. Thomas Bocklitz

Faculty of Mathematics, Physics & Computer Science
Artificial Intelligence in Microscopy and Spectroscopy


  • Machine learning for photonic image data
  • Chemometrics / machine learning for spectral data
  • Correlation of different measurement methods and data fusion
Prof. Dr. Thomas Bocklitz

Faculty of Mathematics, Physics & Computer Science
Artificial Intelligence in Microscopy and Spectroscopy


Prof. Dr. Thomas Bocklitz

Phone: +49 (0)921 / 55-4758
E-mail: thomas.bocklitz@uni-bayreuth.de

Webmaster: Univ.Prof.Dr. Thomas Bocklitz

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