Postdoc
|
S. Borchers. Estimation, Analysis, and Design of Experiments of Biological Systems. Dissertation, Otto-von-Guericke Universität Magdeburg, 2013. >>link
S. Streif, A. Savchenko, P. Rumschinski, S. Borchers, and R. Findeisen. ADMIT: a toolbox for guaranteed model invalidation, estimation, and qualitative-quantitative modeling. Bioinformatics, 28(9):1290-1291, 2012. >>link
S. Borchers, S. Bosio, R. Findeisen, U. Haus, P. Rumschinski, and R. Weismantel. Graph problems arising from parameter identification of discrete dynamical systems. Mathematical Methods of Operations Research, 2011. >>link
S. Borchers, S. Freund, A. Rath, S. Streif, U. Reichl, and R. Findeisen. Identification of Growth Phases and Influencing Factors in Cultivations with AGE1.HN Cells. PLOS ONE 8(8): e68124, 2013. >>link
M. Krauss, S. Schaller, S. Borchers, R. Findeisen, J. Lippert, and L. Kuepfer. Integrating cellular metabolism into a multiscale whole-body model. PLOS Comp. Bio. 8(10): e1002750, 2012. >>link
M. Schliemann, E. Bullinger, S. Borchers, F. Allgower, R. Findeisen and P. Scheurich Heterogeneity Reduces Sensitivity of Cell Death for TNF-Stimuli. BMC Systems Biology, 5:204, 2011. >>link
P. Rumschinski, S. Borchers, S. Bosio, R. Weismantel, and R. Findeisen. Set-based dynamical parameter estimation and model invalidation for biochemical reaction networks. BMC systems biology, 4:69, 2010. >>link
J. Hasenauer, P. Rumschinski, S. Waldherr, S. Borchers, F. Allgöwer, and R. Findeisen. Guaranteed steady state bounds for uncertain biochemical processes using infeasibility certificates. J. Proc. Contr., 20(9):1076-1083, 2010. >>link
S. S. Borchers and R. Findeisen. Outlier detection for polynomial systems using semidefinite relaxations. In IFAC Symposium on Nonlinear Control Systems, NOLCOS'13, pages 761-766, Toulouse, France, 2013.
S. Borchers and R. Findeisen. Design of Experiments for Guaranteed Parameter Estimation in Membership Setting. In Proceedings of the 50th Conference on Decision and Control, Orlando, Fl, USA., 2602-2607, 2011. >>pdf
S. Borchers, S.V. Rakovic, and R. Findeisen. Set Membership Parameter Estimation and Design of Experiments Using Homothety. In 18th IFAC World Congress, Milan, Italy, 2011. >>pdf
S. Borchers, P. Rumschinski, S. Bosio, R. Weismantel, and R. Findeisen. A set-based frame-work for coherent model invalidation and parameter estimation of discrete time nonlinear systems. In 48th IEEE Conf. on Decision and Control, pages 6786 - 6792, Shanghai, China, 2009. >>link
S. Borchers, P. Rumschinski, S. Bosio, R. Weismantel, and R. Findeisen. Model discrimination and parameter estimation via infeasibility certificates for dynamical biochemical reaction networks. In Proceedings of 16th IFAC Symposium on Identification and System Parameter Estimation SYSID, pages 245 - 250, St. Malo, France, 2009. >>link
S. Borchers, P. Rumschinski, S. Bosio, R. Weismantel, and R. Findeisen. Model invalidation and system identification of biochemical reaction networks. In Proceedings of 7th MATHMOD conference, pages 787 - 795, Vienna, Austria, 2009.
J. Hasenauer, P. Rumschinski, S. Waldherr, S. Borchers, F. Allgöwer, and R. Findeisen. Guaranteed steady-state bounds for uncertain chemical processes. In Proceedings of International Symposium on Advanced Control of Chemical Processes ADCHEM09, Istanbul, Turkey, 2009.
P. Rumschinski, J. Richter, A. Savchenko, S. Borchers, J. Lunze, and R. Findeisen. Complete fault diagnosis of uncertain polynomial systems. In 9th IFAC Symposium on Dynamics and Control of Process Systems, DYCOPS-9, pages 127-132, Leuven, Belgium, 2010.
P. Rumschinski, S. Borchers, A. Savchenko, and R. Findeisen. Advances in global parameter estimation approaches for biochemical reaction networks: An overview. In Proc. of Computer-Aided Control System Design (CACSD'10), Yokohama, Japan, 2010.
P. Rumschinski, D. S. Laila, S. Borchers,and R. Findeisen. Influence of discretization errors on set-based parameter estimation. In Proc. IEEE Conf. on Dec. and Contr., CDC '10, Atlanta, USA, 2010.
S. Borchers, S. Maldonado, R. Findeisen, and F. Allgöwer. A model of the bone remodeling cycle due to mechanical force. In Proc. 2nd European Modeling and Simulation Symposium (EMSS'06), pages 385-394, Barcelona, Spain, 2006.
S. Maldonado, S. Borchers, R. Findeisen, and F. Allgöwer. Modeling and analysis of force induced bone growth. In Proc. 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS'06, pages 3154-3157, New York, USA, 2006.
S. Maldonado, S. Borchers, R. Findeisen, and F. Allgöwer. Bone adaptation model during remodeling cycle initiated by a mechanical stimuli. In Proc. 2nd European Modeling and Simulation Symposium EMSS'06, pages 403-409, Barcelona, Spain, 2006.
L. Freier. Dynamic metabolic flux analysis (DMFA) applied to the Calvin Cycle of Nicotiana tabacum. Otto-von-Guericke Universität Magdeburg, 2013.
J. Samuel. Modellierung der intrazellulären Signaltransduktion der Ca2+ induzierten NO Produktion. Bachelorarbeit, Otto-von-Guericke Universität Magdeburg, 2013.
Hentrich, M. Modeling and Analysis of Calcium Influx and the Subsequent Signaling Pathway Dependent on Mechanical Stimulation. Bachelorarbeit, Otto-von-Guericke Universität Magdeburg, 2013.
T. Wolf. Estimating a CA50 Related Value with Knock Sensors from HCCI Engines. Studienarbeit, Otto-von-Guericke Universität Magdeburg, 2012.
K. Thobe. Model-based Experiment Design of the NF-kB Pathway. Studienarbeit, Otto-von-Guericke Universität Magdeburg, 2011.
M. Krauss. Coupling Genome-Scale Metabolic Networks with Whole-Body Pharmacokinetic Models for Multi-Scale Analysis of Network Perturbations. Diplomarbeit, Otto-von-Guericke Universität Magdeburg, 2011.
A. Steinert. Entwicklung und Analyse eines Insulinrezeptormodels zur Untersuchung der Enstehungsursachen der Insulinresistenz. Diplomarbeit, Otto-von Guericke Universität Magdeburg, 2011.
M. Krauss. Flussbilanzanalyse und dynamische Flussbilanzanalyse: Anwendungen an mikrobiellen und humanen metabolischen Netzwerken. Studienarbeit, Otto-von-Guericke Universität Magdeburg, 2011.
A. Steinert. Mathematische Modellierung der TRAIL-induzierten Signaltransduktion. Studienarbeit, Otto-von-Guericke Universität Magdeburg, 2010.
D. Lego. Mathematische Modellierung der TRAIL-induzierten Apoptose einer Zellpopulation. Studienarbeit, Otto-von-Guericke Universität Magdeburg, 2010.
>>International Max Planck Research School
  Go to Top