1997 - 2009 | A4: Statistics and machine learning |
2000 - 2009 | C5: Analysis and modelling of the deephole-drilling-processes with statistical methods and neural networks |
1997 - 2006 | B3: Multivariate identification and analysis of business cycles |
1997 - 2000 | A2: Efficient modelling by means of optimal experimental design |
2017 - 2019
2016 - 2019
2011 - 2017 | "Industrial Data Science - Qualification concept for machine learning in industrial production" (InDaS), funded by BMBF
"Developement, integration and evaluation of innovative processes and quality assurance methods in the production of large-size lithium-ion cells" (QS-Zell)
Subproject 5 "Adaptive Modellierung und echtzeitfähige Identifikation von transkontinentalen Energiesystemen" in DFG Research Unit "Protection and Control Systems for Reliable and Secure Operation of Electrical Transmission Systems" |
2013 - 2016 | Climate Information Platform for Copernicus (CLIPC), funded by the European Union's Seventh Framework Programme for research, technological development and demonstration |
2013 - 2015 | Large-scale support vector machines, funded by Mercator |
2013 - 2015 | Software developement for Daimler AG |
2012 - 2015 | Research work in statistical methodology (Unilever) |
2009 - 2014 | NRW Graduate School of Energy Efficient Production and Logistics |
2009 - 2012 | Multicriteria optimization of automatic music classification based on high level features (funded by Klaus Tschira Foundation) |
2003 - 2009 | International NRW Graduate School of Production Engineering and Logistics |
2005 - 2008 | Diagnostic classification algorithms in heterogeneous populations (funded by Roche Diagnostics GmbH, Penzberg) |
2004 - 2007 | Post cochlea processing ,(funded by Fraunhofer Institut Digitale Medientechnologie, Ilmenau) |
2003 - 2006 | Analysis of statistical methods for standardization of diagnostic assays |