Topics workshops

Theoretical aspects and fundamentals
  • mathematical theory and formulation of inverse and optimization problems
  • regularization techniques
  • (model) order reduction
  • identification problems
  • sensitivity analysis
  • new approaches
Algorithms
  • reconstruction techniques
  • deterministic, stochastic and hybrid techniques
  • multi-objective and multi-level optimization
  • heuristic approaches
  • design of experiments
  • constraints
  • robust optimization under uncertainty
  • objective functions and direct problems
  • numerical efficiency
  • numerical problems
  • new techniques
Applications
  • optimal design in electrical and electronic engineering
  • optimization in information and communication systems
  • non destructive evaluation
  • industrial and biomedical tomography
  • optimization in measurement systems
  • optimization and inverse problems in biomedical engineering
  • control systems
  • large scale systems
  • mechatronics
  • nano- en microsystems
  • benchmark problems
  • coupled problems
  • other applications
Software methodologies
  • parallel and distributed computing, GPU
  • soft computing and artificial intelligence
  • new methodologies