Daniel Jung
Associate Professor, Docent
Publications
Arman Mohammadi, Mattias Krysander, Daniel Jung, 
Consistency-based diagnosis using data-driven residuals and limited training data, Control Engineering Practice 159:106283 (2025) 
https://doi.org/10.1016/j.conengprac.2025.106283
Daniel Jung, Erik Frisk, Mattias Krysander, The LiU-ICE Benchmark – An Industrial Fault Diagnosis Case Study (2024) 
https://arxiv.org/abs/2408.13269
Max Johansson, Arnaud Contet, Olof Erlandsson, Robin Holmbom, Erik Hockerdal, Oskar Lind Jonsson, Daniel Jung, Lars Eriksson, The Electrochemical Commercial Vehicle (ECCV) Platform, Energies 17:1742 (2024) https://doi.org/10.3390/en17071742
Niklas Allansson, Arman Mohammadi, Daniel Jung, Mattias Krysander, Fuel injection fault diagnosis using structural analysis and data-driven residuals, IFAC PAPERSONLINE, pp. 360-365, ELSEVIER (2024) https://doi.org/10.1016/j.ifacol.2024.07.244
Theodor Westny, Arman Mohammadi, Daniel Jung, Erik Frisk, Stability-Informed Initialization of Neural Ordinary Differential Equations, Proceedings of the 41 st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024, Neil Lawrence (ed.), Proceedings of Machine Learning Research, pp. 52903-52914, PMLR (2024)
