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Universitätsplatz 2
39106
Magdeburg
Tel.:+49 391 6751490
M.Sc. Erfan Amini
Otto-von-Guericke-Universität Magdeburg
Fakultät für Elektrotechnik und Informationstechnik
Institut für Informations- und Kommunikationstechnik
My research focuses on Digital predistortion (DPD) technique for increasing the linearity of GaN high-power amplifiers for MRI applications. These power amplifiers exhibit memory effects and nonlinear behavior, which degrade the quality of MRI scans. DPD method can compensate for these analog impairments and improve the linearity of the power amplifiers.Profil
Vita
Erfan Amini received his B.Sc. degree in Electrical Engineering, with a focus on control theory, from Imam Khomeini International University, Iran, in 2019. From 2019 to 2022, he worked as a research assistant at the same institution, where his research focused on data-driven robust control systems.
In 2022, he began his M.Sc. in Electrical Engineering with a focus on Smart Information Processing at the University of Stuttgart, Germany, and completed it in 2025. During his master's studies, his research concentrated on signal processing and RF systems.
Since 2026, he has been a Ph.D. student at Otto von Guericke University Magdeburg, Germany, where he is working on the linearization of the transceiver analog front-end in magnetic resonance systems. His main research interests include digital predistortion techniques using both classical and deep learning-based methods.
In 2022, he began his M.Sc. in Electrical Engineering with a focus on Smart Information Processing at the University of Stuttgart, Germany, and completed it in 2025. During his master's studies, his research concentrated on signal processing and RF systems.
Since 2026, he has been a Ph.D. student at Otto von Guericke University Magdeburg, Germany, where he is working on the linearization of the transceiver analog front-end in magnetic resonance systems. His main research interests include digital predistortion techniques using both classical and deep learning-based methods.
Expertenprofil
Digital Predistortion Techniques, Linearization of RF High Power Amplifiers, Deep Learning Models for RF Power Amplifiers