Marian Moldenhauer

Scientific employee in the ECMath project CH9

Konrad-Zuse-Zentrum für Informationstechnik Berlin (ZIB)
Takustr. 7
+49 (0) 30 84185 167

Research focus

Numerical mathematics,
Ordinary/partial differential equations,
Optimal control,

Projects as a member

  • CH20

    Stochasticity driving robust pattern formation in brain wiring

    Dr. Max von Kleist / Dr. Martin Weiser

    Project heads: Dr. Max von Kleist / Dr. Martin Weiser
    Project members: Marian Moldenhauer
    Duration: -
    Status: running
    Located at: Freie Universität Berlin


    During brain development, synaptic connection patterns are formed in an extremely robust manner. As the interconnection patterns are much too complex to be encoded directly in the genome, they must emerge from simpler rules. In this project we investigate mechanistic stochastic models of axon growth and filopodial dynamics, checking whether their simulation leads to connection patterns and dynamics as observed in vivo, and with the same robustness.
  • CH9

    Adaptive algorithms for optimization of hip implant positioning

    Dr. Martin Weiser / Dr.-Ing. Stefan Zachow

    Project heads: Dr. Martin Weiser / Dr.-Ing. Stefan Zachow
    Project members: Marian Moldenhauer
    Duration: -
    Status: completed
    Located at: Konrad-Zuse-Zentrum für Informationstechnik Berlin


    This project aims at a software environment supporting computer-assisted planning for total hip joint replacement by suggesting implant positions optimized for longevity of bone implants. The aim is to pre-operatively assess stress distribution in bone and to determine an optimal implant position with respect to natural function and stress distribution to prevent loosening, early migration, stress shielding, undesired bone remodeling, and fracture. Increasing the longevity of implants will help to enhance quality of life and reduce the cost of health care in aging societies. Focus of the research is the development of efficient optimization algorithms by adaptive quadrature of the high-dimensional space of daily motions and appropriate choice of tolerances for the underlying dynamic contact solver.

Projects as a guest