Conference topic

(Last update: 15.09.2012)
  • Advanced mathematical methods for modelling and analysis of Inverse Problems in Mechanics (IPM).
  • Intelligent computing (machine learning and especially neural networks, fuzzy sets, evolutionary methods and strategies, immunological systems).
  • Damage detection and health monitoring in structures and materials of civil and mechanical engineering.
  • Advanced methods for material and structure parameter identification and calibration.
  • Probabilistic identification and Bayesian inference in IPM, Kalman filter methodology.
  • Sensitivity analysis in IPM of biomechanical systems.
  • Topology and shape parameter identification, computational tomography, relation to optimal design for unspecified topology and boundary shape.
  • Hybrid systems in updating of computational models,
  • Reverse engineering as taking apart an object to see how it works to duplicate or enhance the object - relations to source codes, 3-D images, hardware and software problems.