Carl-Zeiss-Stiftung 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

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


    Winter Term

    •  Energieverfahrenstechnik
    •  Wärmeübertragung

    Summer Term

    • Maschinelles Lernen in der Verfahrenstechnik

    Office Hours

    • Please contact me by email to make an appointment.

    Publications / Presentations / Posters


    since 09/2020

    CZS Junior Professor of Machine Learning in Process Engineering, RPTU Kaiserslautern
    04/2020 - 08/2020Postdoc, Laboratory of Chemical Process Engineering, TU Munich (TUM)
    08/2019 - 03/2020Postdoc, Department of Computer Science, University of California Irvine (UCI) 
    06/2019PhD in Engineering with the Dissertation "Thermodynamic Modeling of Complex and Poorly Specified Mixtures", TU Kaiserslautern
    01/2015 - 07/2019PhD Student, Laboratory of Engineering Thermodynamics (LTD), TU Kaiserslautern
    07/2014 - 10/2014Scientific Assistant, Institute of Technical Thermodynamics and Refigeration (ITTK), Karlsruhe Institut of Technology (KIT)
    10/2008 - 06/2014Studies in Biochemical Engineering, Karlsruhe Institute of Technology (KIT)