The research group “Machine Learning for High-Throughput Methods and Mechatronics” (ML4HOME) deals with the analysis of data being generated automatically by mechatronic systems in big amounts. We aim for models based on labeled / unlabeled images or time-series. Our focus is the generalization of big data-sets consisting of a lot of data points (high-throughput), whose extent requires mandatory automatic processing.
To ensure the usability of all developed algorithms and derived knowledge, we integrate our software typically into the open source MATLAB toolbox SciXMiner.
Program:
BioInterfaces in Technology and Medicine (BIFTM)
Projects:
Completed Projects:
| Name | Phone | |
|---|---|---|
| Moritz Böhland | +49 721 608-25755 +49 721 608-43531 |
moritz boehlandBww7∂kit edu |
| Lisa Petani, M.Sc. | +49 721 608-25761 | lisa petaniHol1∂kit edu |
| apl. Prof. Dr. Christian Pylatiuk | ||
| apl. Prof. Dr. Markus Reischl | +49 721 608-25749 | markus reischlBjg6∂kit edu |
| Marcel Schilling, M.Sc. | marcel schillingOeh0∂kit edu | |
| Yanke Wang | yanke wangSir9∂kit edu | |
| 2 additional persons visible within KIT only. | ||