Scholar
Max Beier
Google Scholar ID: iZppzEYAAAAJ
Research Assistant, Chair of Information-oriented Control, Technical University of Munich
Citations & Impact
Citations
97
H-index
4
i10-index
3
Publications
6
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Publications (for an up-to-date list, see Google Scholar).
Research Experience
- Currently a researcher at the Chair of Information Technology Control, TUM, focusing on developing methods that utilize data to streamline the process of automatic controller design.
Education
- Since May 2024: PhD student at Konrad Zuse School of Excellence in reliable AI; Since November 2023: Research Assistant at the Chair of Information Technology Control, Technical University of Munich; October 2020 - July 2023: Master of Science in Robotics, Cognition, Intelligence, TUM, specializing in Machine Learning for Dynamic Systems and Control Engineering; October 2017 - September 2020: Bachelor of Engineering in Mechanical Engineering, Automotive Engineering, Dual Hochschule Baden-Württemberg Stuttgart, with Robert Bosch GmbH.
Background
- Research Interests: Principled machine learning, dynamic systems and operator theory, learning-based control. Focuses on creating models from data that simplify the process of automatic controller design.
Miscellany
- Always open to collaborating with highly motivated students.
