About me

I received a Ph.D. from the Division of Automatic Control, Department of Electrical Engineering at Linköping University. My research interests include sensor fusion, system identification, and machine learning.

On November 17, 2023, I successfully defended my Ph.D. thesis Approximative Uncertainty in Neural Network Predictions. The presentation and defense are available online. In the spring of 2021, I defended my licentiate thesis titled Uncertainties in Neural Networks A System Identification Approach at Linköping University. Previously, I received a BSc. in Applied physics and electrical engineering and my master’s in applied mathematics at Linköping University. In the second semester of the master’s, he spent in Eindhoven, Netherlands, at Technische Universiteit Eindhoven (TU/e).

Selected publications

• Approximative Uncertainty in Neural Network Predictions, Magnus Malmström, Ph.D Thesis, 2023
• Extended target tracking utilizing machine-learning software–with applications to animal classification Magnus Malmström, Anton Kullberg, Isaac Skog, Daniel Axehill, Fredrik Gustafsson, preprint, 2023