Master projects

Our group frequently supervises master's theses on topics related to our research. This page lists past and ongoing master projects as well as thesis opportunities if available.

Thesis opportunities

Geometric Deep Learning: Equivariant Lie Transformer for Computer Vision
Supervisor: Elias Nyholm
Examiner: Jan Gerken
Project members: Hampus Linander, Christoffer Petersson, Daniel Persson
Open announcement
ENN

Current master projects

Geometric Deep Learning: Gauge equivariant neural networks for learning topological order
Student: Longde Huang
Supervisor: Jan Gerken
Examiner: Jan Gerken
Project members: Oleksandr Balabanov, Hampus Linander, Daniel Persson, Mats Granath
Open description
ENN
Different measures for parameter importance in deep neural networks
Student: Hanwen Ge
Supervisor: Jan Gerken
Examiner: Johan Jonasson

Finished master projects

Predicting UV-Vis absorption spectra by using graph neural network models
Students: William Nyrén, Ibrahim Taha
Supervisors: Mats Josefson, Gustan Hulthe
Examiner: Jan Gerken
Gauge equivariant convolutional neural networks
Student: Oscar Carlsson
Supervisor: Daniel Persson
Examiner: Daniel Persson
Project members: Jimmy Aronsson, Jan Gerken, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson
Open thesis
ENN