Prof. Dr. Michael Munz
- Machine learning, especially deep learning for time series and image data
- Reliable AI systems, explainable AI
- Applications: Automated sensor data analysis in therapy, diagnosis and sports (e.g. motion analysis)
Memberships
- Gesellschaft für Informatik (GI)
- Deutsche Gesellschaft für Biomedizinische Technik (DGBMT)
- Member of the Doctoral Centre BW-CAR of the Doctoral Association of Universities of Applied Sciences Baden-Württemberg and therefore authorised to carry out doctorates.
Reviewer activities
Reviewer for several journals, including Sensors, AI (MDPI), Machine Learning with Applications (Elsevier), Advances in Data Analysis and Classification (Springer), BMT.
Research Transfer
- Lead of Steinbeis Transfer Center AI Systems and Software Solutions
- Member of Transferzentrum für Digitalisierung, Analytics & Data Science Ulm (DASU)
Short bio
2007: Degree in computer science (diploma), University of Ulm, specialized in neuroinformatics
2011: Doctorate (Dr.-Ing.): “Generic sensor fusion framework for simultaneous state and existence estimation for vehicle environment recognition”
2010-2012: Development engineer and project manager research/pre-development at Daimler AG, sensor fusion division
2012-2014: Software architect and project manager in the development of camera-based vision and monitoring systems at Cassidian Optronics GmbH
2014: Professor for Software Engineering and Sensor Technology (THU)