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M.Sc. Marina Rantanen-Modeer

M.Sc. Marina Rantanen-Modeer Photo of M.Sc. Marina Rantanen-Modeer

(+49)231 755-5131

(+49)231 755-5129


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

Room 326


Short CV

Marina Rantanen Modéer received a MSc Degree in Mechanical Engineering from KTH Royal Institute of Technology in 2013 and a MSc Degree in General Management from SSE Stockholm School of Economics in 2011. She was selected for a young professionals’ program at HiQ/Scania in 2012 where she worked with test automation and truck driving simulator development. She then moved on as a graduate robotics engineer at the European Space Agency in the Netherlands from 2013 to 2015 working on the European Robotic Arm and the Multi-purpose-End-To-End-Robotic-Operations-Network. In 2015-2016 she was a research engineer in the Smart Mobility Lab at KTH developing visualizations of connected mobility. Since August 1st 2016 she has been part of the DYN group as a doctoral candidate focusing on comprehensive modeling of Cyber Physical Systems.

Consultation Hour

By arrangement via email.

Research Interests

  • Multi domain modeling
  • System design
  • Loose coupling algorithms
  • System of systems simulation



The Platform-aware Model-driven Optimization of Cyber-Physical Systems (oCPS) program is a multidisciplinary, pan-European doctoral network funded by the European Commission through its Marie Skłodowska-Curie Actions. In total 15 Early Stage Researchers are hosted by the various beneficiaries that include:

- Technische Universiteit Eindhoven

- Philips Medical Systems Nederland

- Technische Universität München


- Fortiss

- Technische Universität Dortmund

- KTH Royal Institute of Technology

- Imsys AB

- ODYS S.r.l.

The key scientific objective is to enable the design of a new generation of cost-effective, quality-driven and reliable CPS by developing model-driven design methods that capture the interaction between different models at various design layers, that take into account physical constraints and processes, and that introduce awareness of the hardware/software implementation platform at all levels.


  • Control Theory and Applications (WS 2016/17, WS 2017/18)
  • Logic Control (SS 2017, SS 2018, SS 2019)
  • Supervision of A&R Group Projects (WS 2017/18, SS 2018, WS 2018/19)
  • Supervision of laboratory experiments for DYN8 (WS 2018/19)

Supervised Theses


  • MSc academic internship - Bart Vercoulen - Comprehensive modeling of pipeless plant using PTOLEMY
  • Master thesis: Stephan Vette - Sensor Fusion for the Enhancement of Position Estimation of RFID Based Localization for Multi-agent Systems