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Prof. Dr.-Ing. Sebastian Engell

Prof. Dr.-Ing. Sebastian Engell Photo of Prof. Dr.-Ing. Sebastian Engell

(+49)231 755-5126

(+49)231 755-5129


Fakultät Bio- und Chemieingenieurwesen
Lehrstuhl für Systemdynamik und Prozessführung
Geschossbau 2

Room 524


Short CV

Prof. Dr. Sebastian Engell received a Dipl.-Ing degree in Electrical Engineering from Ruhr-Universität Bochum, Germany in 1978 and the Dr.-Ing. Degree and the venia legendi in Automatic Control from Universität Duisburg in 1981 and 1987. 1984/1985 he spent a year as a PostDoc at McGill University, Montréal, P.Q. 1986-1990 he was the head of an R&D group at the Fraunhofer Institut IITB in Karlsruhe, Germany. 1990 he was appointed to his present position as a Full Professor of Process Dynamics and Operations in the Department of Chemical Engineering at TU Dortmund. 2008 he was a Distinguished Visiting Professor at Carnegie Mellon University, Pittsburgh, USA. He was Department Chairman 1996-1999 and 2012-2014 and Vice-Rector for Research of TU Dortmund 2002-2006.

Dr. Engell received an IFAC Journal of Process Control Best Paper Award for the paper “Feedback control for optimal process operation” (Journal of Process Control, 2007), a Best Paper Award of the IEEE Congress on Evolutionary Computation 2010 with Thomas Tometzki on risk-conscious planning and the PSE Model-based Innovation Prize with Ala Eldin Bouaswaig. He was a co-author of the 2014 Best Paper in Computers and Chemical Engineering “Scope for industrial applications of production scheduling models and solution methods” and with Weihua Gao and Simon Wenzel received the 2016 Computers and Chemical Engineering Best Paper Award for the paper “A reliable modifier-adaptation strategy for real-time optimization”.

He gave the Bayer Lecture in Process Systems Engineering at Carnegie Mellon University in 2008 and the Roger Sargent Lecture at Imperial College, London, in 2012. He has published more than 100 Papers in scientific journals, more than 40 papers in edited volumes and more than 300 conference papers with peer review and full papers in proceedings. He graduated more than 65 PhD students at TU Dortmund who worked under his supervision. In 2012, he was awarded a European Advanced Investigator Grant for the Project MOBOCON - Model-based Optimizing Control from a Vision to Industrial Reality. He has led several EU projects, among others the Support Action CPSoS which developed a Roadmap on Research and Innovation in Cyber-physical Systems of Systems (www.cpsos.eu/roadmap). He currently is the coordinator of the EU project CoPro - Improvement of Energy and Resource Efficiency by Better Coordination of Production in the Process Industries that is funded under the EU SPIRE program and involved in two Marie-Curie Training Networks (oCPS and PRONTO). He served as the President of EUCA, the European Control Association 2015-2017.


articleAhmad, Gao, Engell

A study of model adaptation in iterative real-time optimization of processes with uncertainties

Computers & Chemical Engineering, 122, 218-227, 2019

articleCameron, Engell, Georgakis, Aspiron, Bonvin, Gao, Gerogiorgis, Grossmann, Macchietto, Heinz Preisig; Brent Young

Education in Process Systems Engineering: Why it matters more than ever and how it can be structured

Computers & Chemical Engineering, 126, 102-112, 2019

articleBeisheim, Rahimi-Adli, Krämer, Engell

Energy performance analysis of continuous processes using surrogate models

Energy, 183, 776-787, 2019

articleHadera, Ekström, Mäntysaari, Harjunkoski, Engell

Integration of production scheduling and energy-cost optimization using Mean Value Cross Decomposition

Computers & Chemical Engineering, 129, 2019

articleNentwich, Engell

Surrogate modeling of phase equilibrium calculations using adaptive sampling

Computers & Chemical Engineering, 126, 204-217, 2019

proceedingsAhmad, Singhal, Gao, Bonvin, Engell

10th IFAC Symposium on Advanced Control of Chemical Processes(ADCHEM)


proceedingsSubramanian, Lucia, Baradaran, Seayed, Paulen, Engell

A Combined Multi-stage and Tube-based MPC Scheme for Constrained Linear Systems

6th Conference on Nonlinear Model Predictive Control, 51, 2018

proceedingsAve, Wang, Harjunkoski, Engell

A heuristic neighbourhood search-based algorithm for the solution of resource-task network scheduling problems

ESCAPE 18, 43, 2018

proceedingsSubramanian, Lucia, Engell

A Synergistic Approach to Robust Output Feedback Control: Tubebased Multi-stage NMPC

10th IFAC Symposium of Chemical Processes, 51, 2018

proceedingsLeo, Engell

A two-stage stochastic programming approach to integrated day-ahead electricity commitment and production scheduling

28th European Symposium on Computer Aided Process Engineering, Graz, 43, 2018

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