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Personal profile


Chemical systems exhibit behavior rich enough to provide endless research questions in dynamics and control. Understanding and expressing them mathematically is the cornerstone of my research. The rest is icing on the cake. 

Research profile

Leyla Özkan is an Assistant Professor in the Electrical Engineering Department at Eindhoven University of Technology (TU/e). Her research seeks to improve the operation and increase the understanding of industrial chemical systems. She uses modeling, system theory and mathematics to develop new tools and methods and apply them to chemical applications. She collaborates closely with industrial partners, developing solutions for processes with real industrial needs, and her work has demonstrated the commercial value of these methods. The group specifically advances methods for autonomous operation support technology: models for predictive control, real-time optimization, process monitoring both at unit and enterprise level, and integration of process design with instrumentation and operational aspects.  

In addition, Özkan teaches master’s degree level courses such as Model Based Control, Advanced Process Control and the System Integration Project in the Systems and Control master’s degree program. She is the chair of the PSE-NL Network and is an associate editor for the Journal of Process Control. 

Academic background

Leyla Özkan holds a BSc and MSc in Chemical Engineering from Bogazici University (Turkey). She undertook her PhD in Chemical Engineering at Lehigh University (USA), studying model-based control of chemical processes.  

Upon graduatingÖzkan became a postdoc at the University of Newcastle-upon-Tyne (UK) as part of EPSRC project Chemicals Behaving Badly II. In this projectÖzkan developed tools and methods for the control of pharmaceutical crystallization processes for companies including GSK, Pfizer, Syngenta and Astrazeneca 

In 2005, Özkan joined IPCOS Technology Boxtel as an R&D consultant, developing model reduction technology for glass melting tanks. In 2009, she returned to academia as Assistant Professor in the Control Systems group of the Electrical Engineering department at Eindhoven University of Technology (TU/e). 

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Research Output 2007 2019

Dynamic modeling of milk acidification for product design and process control

Porru, M., Ozkan, L., Huppertz, T. & Szymanska, E., 9 Oct 2019

Research output: Contribution to conferencePosterAcademic

Integration of Max-plus-linear scheduling and control

Dirza, R., Marquez Ruiz, A., Ozkan, L. & Mendez Blanco, C., 25 Jul 2019, In : Computer Aided Chemical Engineering. 46, p. 1279-1284 6 p.

Research output: Contribution to journalConference articleAcademicpeer-review

2 Citations (Scopus)

Modeling of reactive batch distillation columns for control

Marquez Ruiz, A., Mendez Blanco, C. S. & Ozkan, L., 2 Feb 2019, In : Computers and Chemical Engineering. 121, p. 86-98

Research output: Contribution to journalArticleAcademicpeer-review

Distillation columns
Linear transformations
Process monitoring
Model predictive control

Model learning predictive control for batch processes: A Reactive Batch Distillation Column Case Study

Marquez Ruiz, A., Loonen, M. A. C., Saltik, B. & Ozkan, L., 2019, In : Industrial and Engineering Chemistry Research. 58, 30, p. 3737-13749

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
Distillation columns
Model predictive control
Batch reactors

Optimal operation and control of fluidized bed membrane reactors for steam methane reforming

Marquez Ruiz, A., Wu, J., Ozkan, L., Gallucci, F. & van Sint Annaland, M., 25 Jul 2019, In : Computer Aided Chemical Engineering. 46, p. 1231-1236 6 p.

Research output: Contribution to journalArticleAcademicpeer-review

Steam reforming
Fluidized beds
Dynamic models

Activities 2018 2018

29th European Symposium on Computer Aided Process Engineering (ESCAPE 29)

Leyla Özkan (Organiser)
Aug 2018Jul 2019

Activity: Participating in or organising an event typesConferenceScientific


Advanced process control

1/09/15 → …


Model-based control

1/09/15 → …


Process dynamics and control

1/09/13 → …


Press / Media

Simulation Models Increase Process Efficiency

Leyla Ozkan


1 media contribution

Press/Media: Research

Student theses

Disturbance model and observer tuning method for model predictive control

Author: Gonzalez Burgos, J., 30 Sep 2011

Supervisor: Backx, A. (Supervisor 1) & Ozkan, L. (Supervisor 2)

Student thesis: Master

Extremum seeking based auto-tuning of MPC for a tubular polymerization reactor

Author: Bruggeman, O., 31 Aug 2015

Supervisor: Ozkan, L. (Supervisor 1)

Student thesis: Master

LPV modelling and parameter estimation for reaction systems

Author: Prikken, D., 7 Sep 2018

Supervisor: Ozkan, L. (Supervisor 1), Mendez Blanco, C. (Supervisor 2) & Van den Hof, P. (Supervisor 2)

Student thesis: Master

Modeling and optimal control of fluidized bed membrane reactors

Author: Wu, J., 27 Jun 2018

Supervisor: Özkan, L. (Supervisor 1) & van Sint Annaland, M. (Supervisor 2)

Student thesis: Master

Model learning predictive control with applications to batch processes

Author: Loonen, M., 28 Jun 2018

Supervisor: Weiland, S. (Supervisor 1), Ozkan, L. (Supervisor 2), Marquez Ruiz, A. (Supervisor 2) & Saltik, M. (Supervisor 2)

Student thesis: Master