Master and Bachelor Thesis Supervision
General information
After the topic and supervisor have been found (see below), the student must write a proposal with preliminary results. After Klaus approves the proposal, the student can register the thesis, and the writing period begins (typically three months for BA and six months for MA). This implies that a thesis often requires more time than the official writing period. It might be possible to hand in the thesis early (check with the respective examination regulations for the student’s degree program). However, we encourage significant time between registration and submission.
Though we encourage thesis supervision, there is no obligation to supervise every interested student, e.g., in case no appropriate topic/supervisor is available.
Senior researchers
Our senior researchers often have a good overview of the research interests in our group. It can be helpful to contact one of the researchers below if you cannot supervise an interested student yourself and none of the open topics below are appropriate.
ML for Quantum Chemistry: Stefan Chmiela (stefan@chmiela.com)
Kernel Learning: Stefan Chmiela (stefan@chmiela.com)
Explainable AI: Grégoire Montavon (gregoire.montavon@tu-berlin.de)
Anomaly detection/Unsupervised learning: Robert Vandermeulen (vandermeulen@tu-berlin.de)
Probabilistic/Bayesian models: Shinichi Nakajima (nakajima@tu-berlin.de)
Time series analysis and signal processing: Andreas Ziehe (andreas.ziehe@tu-berlin.de)
Multimodal signal acquisition and analysis - neurotechnology + biomedical sensing: Alexander von Lühmann (vonluehmann@tu-berlin.de)
Open topics
- Please delete topics that are not available anymore.
- Please include the entry's date. This can help identify outdated topics that should have been deleted.
The last column can entail short additional information helpful to students to assess their interest in a topic without contacting the person. For example, you may include a short description or a link to a relevant paper.
MS/BS |
Topic |
Supervisor + email address |
Date of entry |
Additional information |
BS |
Assessment of data quality in open source wind turbine SCADA data sets |
Simon Letzgus (simon.letzgus@tu-berlin.de) |
Jan 2023 |
- |
MS |
Dynamic visualization of XAI for regression models |
Simon Letzgus (simon.letzgus@tu-berlin.de) |
Jan 2023 |
- |
MS |
Adaptation of generic to subject specific headmodels using ultrasound and photogrammetry |
Alexander von Lühmann (vonluehmann@tu-berlin.de) |
Feb 2023 |
- |
MS |
Automatic naturalistic stimulus detection using combined eye-tracking and computer vision |
Alexander von Lühmann (vonluehmann@tu-berlin.de) |
Feb 2023 |
- |
MS |
XAI for distribution shift in malware detection |
Daniel Arp (d.arp@tu-berlin.de), Lorenz Linhardt (l.linhardt@campus.tu-berlin.de) |
Feb 2023 |