Advanced biosystems modeling: a holistic approach incorporating submodel balancing, model structure sensitivity analysis and experimental identifiability

01 October 2010 → 30 September 2014
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Computer architecture and networks
    • Distributed computing
    • Information sciences
    • Information systems
    • Programming languages
    • Scientific computing
    • Theoretical computer science
    • Visual computing
    • Other information and computing sciences
  • Medical and health sciences
    • Biomechanics
    • Biomechanics
    • Biomechanics
  • Engineering and technology
    • Sustainable and environmental engineering
balancing submodels model structure sensitivity analysis uncertainty propagation experimental identifiability biosystems modeling
Project description

Advanced mathematical models are necessary to optimize the currently used suboptimal biosystems. However, when constructing these models, often a mismatch between spatial and bioprocess description occurs. This project develops novel mathematical methodological concepts (model structure sensitivity analysis, uncertainty propagation, experimental identifiability) in order to restore the balance between submodels taking into account experimental data availability.