Master and Bachelor Thesis Supervision

This page is targeted at both students and staff.

General procedure

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.

Unsolicited applications

Students can proactively contact researchers if none of the open topics below are suitable. It is possible to suggest your own topics or ideas. In general, being friendly, motivated, and skillful is helpful. Though our group tries to supervise as many students as possible, we do not always have the capacity to supervise every interested student.

The senior researchers have a broad overview of current research in our group:

The junior researchers are typically more specialized:

Open topics

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

Modelling the effect of motion on systemic physiology in the head measured by fNIRS, Microsoft Kinect, and Accelerometers

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

https://www.overleaf.com/read/hfgvhwsnjpxk