معرفی
Dr.-Ing. Maike Stemmler is a researcher and group leader at the Institute of Automatic Control, RWTH Aachen University, where she heads the Biomedical Systems research group. She is currently on parental leave but remains an active contributor to control engineering research with a focus on biomedical applications. Her work bridges advanced control theory and medical technology development.
Research Interests:
- Iterative Learning Control in medical systems
- Physiological modeling and control of cardiovascular dynamics
- Robot-assisted rehabilitation and human-robot interaction
- Deep learning and AI-based control strategies
- Biomedical cyber-physical systems
- Ventricular assist device (VAD) control algorithms
Her recent publications (2018–2023) demonstrate a strong trend toward integrating machine learning and data-driven modeling with classical control theory, particularly in medical and automotive domains. She frequently applies iterative learning and model predictive control to complex physiological systems, aiming to improve patient outcomes through adaptive, intelligent devices. Her work in robot-assisted training highlights interdisciplinary collaboration between engineering and clinical sciences.
Scientific Awards:
- No awards mentioned in the provided text.
Advising and Grants:
- She completed her PhD in 2023 on iterative learning control in medical applications, indicating mentorship under Prof. Dirk Abel.
- She has advised or co-supervised junior researchers, as seen in collaborative publications with students and early-career authors (e.g., Xu Chen, Maximilian Basler).
- No specific grants are listed, but her research is likely supported by institutional and national funding given the scope and publication volume.
Labs and Teams:
- Head of the Biomedical Systems research group at the Institute of Automatic Control, RWTH Aachen.
- Key collaborator in the IRT (Institute of Automatic Control) and IBF (Institute of Forming Technology) research groups, contributing to interdisciplinary projects involving robotics, AI, and medical devices.
