Systems Immunology

To see the immune system with the eyes of mathematics – that is the goal of the department Systems Immunology. Mathematical models help to faster and better understand diseases that are associated with immune functions. Read here how scientists use mathematics to investigate chronic inflammatory diseases, the regulation of adaptive immune responses, diabetes, cancer irradiation and aging.

Team

    Dr Ghazal Montaseri

    Ghazal Montaseri

    Scientist

    +49 531 391-55216

    Contact


    Curriculum Vitae

    Since May 2014, Ghazal joined the department of Systems Immunology at HZI as a postdoctoral researcher. She received her BS degree in Electrical Engineering from Shiraz University, Shiraz, Iran in 2006 and her MSc and PhD degrees in Electrical Engineering-Control Systems from University of Tehran, Tehran, Iran in 2008 and 2013, respectively, (supervised by Prof. M.J. Yazdanpanah). In her PhD thesis, she worked on designing an adaptive controller for desynchronization of neuronal ensembles.

    Research

    Employing mathematical tools and control engineering methods in analysis and control of biological systems is her main research interest. Specifically, she focuses on:
    * Mathematical Analysis of Pancreatic Beta-Cells.
    Desynchronization of Neuronal Ensembles.
    Robust and Nonlinear Control.

     
    Publication

    Montaseri, G.; Yazdanpanah, M. J.; Bahrami, F.; (2015). Designing a deep brain stimulator to suppress pathological neuronal synchrony. Neural Networks 63: 282-292. PubMed

    Montaseri, G.; Adhami-mirhosseini, A.; Yazdanpanah, M.J.; (2014). Desynchronization of coupled limit-cycle oscillators through nonlinear output regulation. Systems & Control Letters: 71, 38-43.

    Montaseri, G.; Yazdanpanah, M.J.; (2014). Desynchronization of two coupled limit-cycle oscillators using an astrocyte-inspired controller. International Journal of Biomathematics: 7 (1), 1450001.

    Montaseri, G.; Yazdanpanah, M.J.; Pikovsky, A.; Rosenblum, M.; (2013). Synchrony suppression in ensembles of coupled oscillators via adaptive vanishing feedback. Chaos: 23 (3), 033122.

    Montaseri, G.; Adhami-mirhosseini, A.; Yazdanpanah, M.J.; (2013). A mathematical approach to desynchronization of coupled oscillators: Application to a neuronal ensemble. International Journal of Biomathematics: 6 (2) 1350009, 2013.

    Amiri, M.; Montaseri, G.; Bahrami, F.; (2013). A phase plane analysis of neuron-astrocyte interactions. Neural Networks:44, 57-165.

    Montaseri, G.; Yazdanpanah, M.J.; (2013). Practical output regulation of uncertain strict-feedback form systems. Asian Journal of Control: 15 (4), 1- 4.

    Montaseri, G.; Yazdanpanah, M.J.; (2012). Adaptive control of uncertain nonlinear systems using mixed backstepping and Lyapunov redesign techniques. Communication in Nonlinear Science and Numerical simulation: 17 (8) 3367-3380.

    Montaseri, G.; Yazdanpanah, M.J.; (2012). Predictive control of uncertain nonlinear parabolic PDE systems using a Galerkin/neural-network-based model. Communication in Nonlinear Science and Numerical simulation: 17 (1) 388-404.

    Amiri, M.; Montaseri, G.; Bahrami, F.; (2011). On the role of astrocytes in synchronization of two coupled neurons: a mathematical perspective. Biological Cybernetics: 105 (2) 153-166.

Leader

  • Prof Dr Michael Meyer-Hermann

    Michael Meyer-Hermann

    Head of Department

    +49 531 391 55210

    +49 531 391-55211

    Contact

    +49 531 6181-5400

    +49 531 6181-7099

News

Audio Podcast

  • BRICS – Rechnen für die Infektionsforschung
    Die Mischung macht es – im richtigen Leben ebenso wie in der Infektionsforschung. Systembiologen am HZI und an der Technischen Universität Braunschweig mischen Laborerkenntnisse mit Computermodellen. Begleiten Sie Michael Meyer-Hermann virtuell an das BRICS und hören Sie weshalb es so sinnvoll ist, Biologie mit System zu betreiben.
  • Rechnen für die Gesundheit – Systembiologie bringt System in die Arthritis-Therapie
    Infektionsforscher arbeiten mit Zellkulturen, Krankheitserregern, nehmen Proben, messen und werten die Messergebnisse aus. Allerdings reicht das in der modernen Wissenschaft häufig nicht mehr aus – gerade wenn es um so komplexe Systeme wie uns Menschen geht. Hier kommen Computer ins Spiel: die Systembiologie. Hören Sie Michael Meyer-Hermann zu, wie er am Rechner die Jahrzehnte alte Therapie gegen Rheumatoide Arthritis auf den Kopf stellt...