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Research Group on Electric Drives, Power Electronics and Electromobility

Maciej Skowron, PhD

Maciej Skowron

Maciej Skowron, PhD

maciej.skowron@pwr.edu.pl

Smoluchowskiego 19 St.,
50-370 Wrocław,
Building A-10, Room 401
3rd Floor,
Phone: +48 71 320 33 52

Scientific Interests:
Diagnostics of AC motor drives using deep neural networks, Transfer learning, Mathematical modeling and advanced signal processing methods, Digital implementation of control and diagnostic systems
Current Scientific Goal:
Diagnostics of AC motor drives using deep neural networks
Biography:
Maciej Skowron received his M.Sc. and Ph.D. degrees in the field of Automation, Electronics, and Electrical Engineering from Wrocław University of Science and Technology in 2018 and 2021, respectively. He currently works as an assistant professor at the Department of Electrical Machines, Drives, and Measurements, and serves as the Supervisor of the Electromobility Laboratory at Wrocław University of Science and Technology. He is a member of several scientific organizations: the Institute of Electrical and Electronics Engineers (IEEE), IEEE Industrial Electronics Society, Polish Society for Theoretical and Applied Electrical Engineering, Academia Iuvenum of Wrocław University of Science and Technology, and the Wrocław branch of the Association of Polish Electrical Engineers. Additionally, he serves as an Associate Editor of the journal Power Electronics and Drives, and as a reviewer for journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Energy Conversion, Electrical Engineering, Engineering Applications of Artificial Intelligence, Elsevier, IEEE Transactions on Power Electronics, Bulletin of the Polish Academy of Sciences, and IEEE Access.
Project Participation:
European Project: Hybrid ElectriC regional Aircraft distribution TEchnologies (HECATE), 2023–2025, funded by the European Union under Grant 101101961 — HECATE. Role: main contributor (2023–2024), diagnostic team leader (2024–2025). Ongoing project. NCN Grant: Methods of detection and compensation of current sensor faults in induction and synchronous motor drives based on modified state observers, 2022–2025, funded by the National Science Centre under OPUS 21. Role: contributor (2021–2024). Ongoing project. NCN Grant: Fault diagnostics of permanent magnet synchronous motors using deep neural networks and transfer learning, 2022–2025, funded by the National Science Centre under PRELUDIUM 20. Role: principal investigator (2022–2025). Project completed. NCN Grant: Hybrid methods for detecting faults in PMSM motors in vector-controlled electric drives using analytical and neural computations, 2018–2021, funded by the National Science Centre under OPUS 14. Role: scholarship holder (2018–2022). Project completed.

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