Master's Thesis

We're happy to invite you to do your Master's Thesis with us.

Topics include Brain Computer Interfaces, signal processing, machine learning and psychology. Contact us and together we will find a suitable topic for you.

For previous Theses, have a look at these:

2023

Tanveer, M Asjid: Deep convolution neural network for attention decoding in multi-channel EEG with conditional variational autoencoder for data augmentation

2022

Fallenius, Emma and Karlsson, Linda: Tensor Decompositions of EEG Signals for Transfer Learning Applications

Adlercreutz, Julia: Brainstem response estimation using continuous sound - A feasibility study

Andersson, Viktor and Ostréus, Nelly: Speech activity detection in videos

Enander, Sara and Karsten, Louise: Computation models for audiovisual attention decoding
 

2021

Keding, Oskar and Ohlin, David: Statistics and Machine Learning for Classification of Emotional and Semantic Content of EEG

Andersen, Tom: Implementation of a Simple Asynchronous Pipeline Framework (SAPF) for construction of real-time BCI systems
 

2020

Wilroth, Johanna: Domain Adaptation for Attention Steering
 

2018

Basic Knezevic, Damir and Heimerson, Albin: Statistical and machine learning methods for classification of episodic memory