Carl-Zeiss-Foundation Junior Professor of Machine Learning in Process Engineering
JP Dr.-Ing. Fabian Jirasek
Department of Mechanical and Process Engineering
Laboratory of Engineering Thermodynamics
RPTU Kaiserslautern
Erwin-Schrödinger-Straße 44
Building 44/413
67663 Kaiserslautern
Phone.: +49(0)631 205-4685
Fax: +49(0)631 205-3835
E-Mail: fabian.jirasek@rptu.de
Research Focus
Fabian Jirasek's research focuses on Machine Learning in Process Engineering.
- Prediction of fluid properties with Machine Learning (ML)
- Development of hybrid approaches: integration of physical knowledge in ML methods
- Interpretability of ML methods in process engineering
- Design of Experiment and Active Learning
- Automation of chemical plants
Teaching
Winter Term
- Energieverfahrenstechnik
- Wärmeübertragung
Summer Term
- Maschinelles Lernen in der Verfahrenstechnik
Office Hours
- Please contact me by email to make an appointment.
Career
since 09/2020 | Junior Professor of Machine Learning in Process Engineering, TU Kaiserslautern | |
04/2020 - 08/2020 | Postdoc, Laboratory of Chemical Process Engineering, TU Munich (TUM) | |
08/2019 - 03/2020 | Postdoc, Department of Computer Science, University of California Irvine (UCI) | |
06/2019 | PhD in Engineering with the Dissertation "Thermodynamic Modeling of Complex and Poorly Specified Mixtures", TU Kaiserslautern | |
01/2015 - 07/2019 | PhD Student, Laboratory of Engineering Thermodynamics (LTD), TU Kaiserslautern | |
07/2014 - 10/2014 | Scientific Assistant, Institute of Technical Thermodynamics and Refigeration (ITTK), Karlsruhe Institut of Technology (KIT) | |
10/2008 - 06/2014 | Studies in Biochemical Engineering, Karlsruhe Institute of Technology (KIT) |