Systems Theory and Automatic Control

Dr.-Ing. Nadine Rudolph (nee Strobel)


  Postdoctoral Researcher
  Institute for Automation Engineering (IFAT)
  Laboratory for Systems Theory and Automatic Control
  Otto-von-Guericke University Magdeburg
  39106 Magdeburg - Germany



Phone:

+49-391-6750211

Fax:

+49-391-6711191

Email:

nadine.rudolph@ovgu.de


CV

Education

Dec 2019 - Jul 2020Postdoctoral Researcher in Prof. Dr.-Ing. Rolf Findeisen's group for Systems Theory and Automatic Control at the Otto-von-Guericke-Universität Magdeburg
Nov 2019PhD graduation
Aug 2015 - Jun 2016Maternity and parental leave
Aug 2013 - Nov 2019Member of the International Max Planck Research School Magdeburg for Advanced Methods in Process and Systems Engineering
(IMPRS ProEng)
Sept 2012 - Nov 2019PhD Student and Research Assistant in Prof. Dr.-Ing. Rolf Findeisen's group for Systems Theory and Automatic Control at the Otto-von-Guericke-Universität Magdeburg
Jul - Dec 2009Integrated study at the Norwegian University of Science and Technology Trondheim (NTNU) in the Department for Cancer Research and Molecular Medicine
Oct 2006 - Sept 2012Study of Biosystems Engineering at the Otto-von-Guericke-Universität Magdeburg
Jan - Aug 2006Voluntary worker in Social Services, Höfn (Iceland)

Scholarships

Jul - Dec 2012 Research fellowship, Forschungszentrum Dynamische Systeme - Biosystemtechnik Magdeburg
Jul - Dec 2009 ERASMUS grant

Internship

Oct 2011 - Feb 2012 insilico biotechnology AG, Stuttgart (Germany)


Winter term 2019/20 Assistant in Steuerungstechnik  
Summer term 2015 Assistant in Introduction to Systems Theory  
Winter term 2014/15 Assistant in Modeling and Analysis in Systems Biology  
Summer term 2014 Assistant in Introduction to Systems Theory  
Winter term 2013/14 Assistant in Modeling and Analysis in Systems Biology  
Summer term 2013 Assistant in Systems Theory in Systems Biology  
Winter term 2012/13 Assistant in Modeling and Analysis in Systems Biology  



Books and Volumes

[1] N. Rudolph. Set-based Multi-scale Modeling and Analysis of Signal Transduction Pathways. PhD thesis, Otto-von-Guericke University Magdeburg, Magdeburg, Germany, 2019.

Journals Articles and Book Chapters (all peer reviewed)

[1] H. Reeh, N. Rudolph, U. Billing, H. Christen, S. Streif, E. Bullinger, M. Schliemann-Bullinger, R. Findeisen, F. Schaper, H. J. Huber, and A. Dittrich. Response to IL-6 trans- and IL-6 classic signalling is determined by the ratio of the IL-6 receptor α to gp130 expression: Fusing experimental insights and dynamic modelling. Cell communication and signaling - London: Biomed Central, 17:46, 2019.

Proceedings (peer reviewed)

[6] M. Naber, F. von Haeseler, N. Rudolph, H. J. Huber, and R. Findeisen. Effects of noisy biological data on picard iteration-based parameter estimation for a glutamate excitotoxicity pathway. In International Conference on Foundations of Systems Biology in Engineering (FOSBE), pages 64--67, Chicago, USA, 2018.
[5] N. Rudolph, P. Andonov, H. J. Huber, and R. Findeisen. Model-supported patient stratification using set-based estimation methods. In International Symposium on Advanced Control of Chemical Processes (AdChem), pages 892--897, Shenyang, China, 2018.
[4] F. von Haeseler, N. Rudolph, R. Findeisen, and H. J. Huber. Parameter estimation for signal transduction networks from experimental time series using picard iteration. In Advanced Control of Chemical Processes (AdChem), pages 191--196, Shenyang, China, 2018.
[3] N. Rudolph, S. Streif, and R. Findeisen. Set-based experiment design for model discrimination using bilevel optimization. In Proceedings of Foundations of Systems Biology in Engineering (FOSBE), pages 295--299, Magdeburg, Germany, 2016.
[2] N. Rudolph, T. Meyer, K. Franzen, C. Garbers, S. Streif, F. Schaper, A. Dittrich, and R. Findeisen. A two-level approach for fusing early signaling events and long term biological responses. In International Symposium on Advanced Control of Chemical Processes (AdChem), pages 1229--1234, Whistler, Canada, 2015.
[1] S. Streif, N. Strobel, and R. Findeisen. Inner approximations of consistent parameter sets via constraint inversion and mixed-integer linear programming. In Proc. 12th IFAC Symposium on Computer Applications in Biotechnology (CAB), pages 326--331, Mumbai, India, 2013.



[6]  Hendrik Alsmeier (Engineering Cybernetics). Comparative Analysis of Mathematical Models for fMRI Data Evaluation, Bachelor thesis 2019/20, Otto-von-Guericke Universität Magdeburg.
[5]  Bianca Lucas (Biosystems Engineering). Quantitative Modellierung der Epo-induzierten Signaltransduktion im JAK2-WT- und JAK2-V617F-System, Student research project 2015/16, Otto-von-Guericke Universität Magdeburg.
[4]  Daniel Rüdiger (Biosystems Engineering). Mathematical modeling of the Epo-dependent signaling pathways in the development of myeloproliferative neoplasms, Master thesis 2014/15, Otto-von-Guericke Universität Magdeburg.
[3]  Tina Meyer (Engineering Cybernetics). Mathematische Modellierung der Interleukin-6 abhängigen Signalwege, Bachelor thesis 2014, Otto-von-Guericke Universität Magdeburg.
[2]  Daniel Rüdiger (Biosystems Engineering). Student Assistant 2013, Otto-von-Guericke Universität Magdeburg.
[1]  Marco Albrecht (Biosystems Engineering). Systembiologische Untersuchung der Interleukin-6 Rezeptorassemblierung mittels mengenbasierten Parameterschätzverfahren, Bachelor thesis 2012/13, Otto-von-Guericke Universität Magdeburg.

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