Daniel Jung
Associate Professor, Docent
Publications
Daniel Jung, Theodor Westny, 
Uncertainty-aware fault diagnosis of unknown faults using ensemble-based NODE residuals, Mechanical systems and signal processing 242:113599 (2026) 
https://doi.org/10.1016/j.ymssp.2025.113599
Daniel Jung, Erik Frisk, Mattias Krysander, Anna Sztyber-Betley, Francesco Corrini, Andrea Arici, Nicolas Anselmi, Mirko Mazzoleni, Jiamin Xu, Siwen Mo, Zixuan Xu, Chongpan Yang, Zhile Du, Hossein Safaeipour, Mehdi Forouzanfar, Vahid Mirahi, Anna Pinnarelli, Vicenç Puig, Qiao Deng, Yufei Liu, Jiakun Liu, Haobin Ke, Wanting Zhu, Silke Merkelbach, Maryam Ahang, Homayoun Najjaran, A fault diagnosis benchmark of technical systems with incomplete data — six solutions, Control Engineering Practice 164:106427 (2025) https://doi.org/10.1016/j.conengprac.2025.106427
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
Vishnu Renganathan, Daniel Jung, Ekim Yurtsever, Qadeer Ahmed, Learning robust residuals for attack diagnosis of advanced driver assist systems, Control Engineering Practice 162:106366 (2025) https://doi.org/10.1016/j.conengprac.2025.106366
Daniel Jung, David Axelsson, A Study on Redundancy and Intrinsic Dimension for Data-Driven Fault Diagnosis, (2024) https://doi.org/10.4230/OASIcs.DX.2024.4
