Johannes Jäschke

alt text 

Johannes Ernst Peter Jäschke

Department of Chemical Engineering
Norwegian University of Science and Technology


  • The paper by Evren Turan Designing neural network control policies under parametric uncertainty: A Koopman operator approach was selected as Keynote lecture at the 13th IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS) in Busan, South Korea!

  • Mandar Thombre sucessully defended his PhD on 19. February 2021. The thesis titled: Novel Approaches in Robust Multistage Nonlinear Model Predictive Control can be downoaded here

  • Timur Bikmukhametov sucessfully defended his PhD on 18. December 2020. The thesis titled: “Machine Learning and First Principles Modeling Applied to Multiphase Flow Estimation” can be downoaded here

  • Adriaen Verheyleweghe sucessfully defended his PhD on 12. June 2020. The thesis titled: “Control Degrees of Freedom for Optimal Operation and Extending Remaining Useful Life” can be downloaded here

  • Unique interview with Professor Kalman (Kalman filter) on occation of the 2015 Nordic process control award! Klick here…

  • We developed a simple way for optimizing operation of heat exchanger networks with stream split. Check it out!


My research interests are within the field of process systems engineering, with a strong focus on modelling, numerical optimization and control. By linking methods from optimization and control theory, my goal is to systematically develop practically applicable solutions for operating process systems in a safe, reliable, and economical way.

Topics in this area include:

  • Optimization-driven methods for optimal operation and control strategies

  • Real-time optimization and predictive control

  • Quantitative data methods for optimization and control of process systems


Johannes Jäschke
Norwegian University of Science and Technology (NTNU)
N-7491 Trondheim
Phone: +47 735 93691
twitter: @JoJaschke