Sebastian Hönel

Sebastian Hönel

Postdoctoral Fellow
Department of Computer Science and Media Technology Faculty of Technology
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About Me

I am currently a postdoctoral researcher and co-Pi in the project In-line visual inspection using unsupervised learning.

  • You will find me in building D, room D2254.
  • I have a calendar where you can find my public appearances, talks, meetings, office hours, and other public activities at


I am usually involved in teaching courses around (Deep) Machine Learning (e.g., 4DV652, 4DV660, 4DV661).

I was previously a teaching assistant in courses for agile product development, both first- and second-level cycles (e.g., 1DV508, 4DV611).


Currently, I do focus on the analysis (e.g., quality), manipulation, and generation of media such as audio, imagery, and video utilizing statistical methods and, most notably, artificial intelligence. In particular, I attempt to apply and improve models for unsupervised and zero-/few-shot learning for the detection of manufacturing defects and other material anomalies.

Previously, I emphasized the usage of Machine- and Deep Learning, Optimization, as well as distributed computing for the analysis, calibration, and optimization of models that are related to software applications and -processes. I was (and still am) interested in obtaining quantitative data from software evolutionary processes and applying it through models used for the greater goal of organizational learning.


Article in journal (Refereed)

Conference paper (Refereed)

Dataset (Refereed)

Other (Refereed)

Conference paper (Other academic)

Doctoral thesis, comprehensive summary (Other academic)

Other (Other academic)

Licentiate thesis, comprehensive summary (Other academic)