Priv.-Doz. Dr. sc. techn. ETH habil. Eric Bullinger

Privatdozent, Scientific Collaborator and Researcher   Institute for Automation Engineering (IFAT)   Laboratory for Systems Theory and Automatic Control   Otto-von-Guericke University Magdeburg   39106 Magdeburg - Germany Office:  G07-206 Phone: +49 (0)391 / 67-57122 Fax: +49 (0)391 / 67 11191 E-Mail:

• System Biology, from data analysis over modelling to model analysis as well as the development of system theoretical methodologies.
  In particular:
  • Modeling and analysis of signal transduction networks in mammalian cells
    (e.g. TNF-α induced apoptosis, penicilin induced stress response)
  • Modeling of the dynamics of the organisms (e.g. sponges or rats)
  • Image processing of fluorensence microscopy images towards quantitative and dynamic concentration measurements
  • Development of parameter estimation methods for biochemical reaction networks
  • Robustness and performance measures for biological systems
• Control
  • Observer design
  • Model reduction
  • Optimisation-based control

• Predictive control for aircraft stabilisation (gust load alleviation)
• Quantitative analysis of bee flight data

• Recent publications or complete list
• Researcher-ID (ISI Web of Knowledge)
• Google Scholar Profile
• Loop
• Microsoft Academic
• ORCID
• Scopus
• Semantic Scholar

• winter semester
  1. Steuerungstechnik (ab WS 2023-24)
  2. Optimal Control / Predictive Control (in English, ab WS 2023-24)
  3. Complex Systems Seminar
  4. Modellierung und Analyse in der Systembiologie (Modelling and Analysis in Systems Biology)
  5. Grundlagen der Modellierung (bis WS 2022-23)
  6. Machine Learning, Dynamical Systems, and Control (in English; starting soon)
• summer semester
  1. Einführung in die Systemtheorie (Introduction to Systems Theory)
  2. Systemtheorie / Regelungstechnik II (Systems Theory / Control Engineering II)
  3. Nonlinear Control (in English)
  4. Grundlagen der Systembiologie (Introduction to Systems Biology)

• IEEE Control Systems Society: Technical Committee on Systems Biology