René received his Dipl.-Ing. and Dr.-Ing. in Engineering Cybernetics from the Otto-von-Guericke-University Magdeburg, Germany in 2007 and 2014, respectively. From2007 until 2012 he had been a Ph.D. student at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg, Germany. His dissertation titled “Optimal Experimental Design for Parameter Identification and Model Selection” contributes to the
field of uncertainty quantification and propagation. From 2013 until 2016 he was with the German Aerospace Center at the Institute of Transportation Systems in Braunschweig, Germany. Since 2016 René is the head of the Process Systems Engineering group at the Institute of Energy and Process Systems Engineering at the Technische Universität Braunschweig, Germany. His current research interests include data analysis, statistical process control, uncertainty analysis, and modeling in process systems engineering.
Research Keywords & Expertise
System Identification
Uncertainty Analysis
Process Systems Engine...
Design of Experiments ...
Digital twin applicati...
Fingerprints
11%
Design of Experiments (DoE)
8%
System Identification
8%
Process Systems Engineering
5%
Uncertainty Analysis
Short Biography
René received his Dipl.-Ing. and Dr.-Ing. in Engineering Cybernetics from the Otto-von-Guericke-University Magdeburg, Germany in 2007 and 2014, respectively. From2007 until 2012 he had been a Ph.D. student at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg, Germany. His dissertation titled “Optimal Experimental Design for Parameter Identification and Model Selection” contributes to the
field of uncertainty quantification and propagation. From 2013 until 2016 he was with the German Aerospace Center at the Institute of Transportation Systems in Braunschweig, Germany. Since 2016 René is the head of the Process Systems Engineering group at the Institute of Energy and Process Systems Engineering at the Technische Universität Braunschweig, Germany. His current research interests include data analysis, statistical process control, uncertainty analysis, and modeling in process systems engineering.