System Analysis, Modeling, Control and Optimization

Research overview

The main scientific research areas of a cluster are as follows:

  • Adaptive and intelligent systems – methods for complex object and process analysis, modeling and control based on predictive, fuzzy logic and physics models.
  • Signal recognition – methods and models for speech and music signal analysis and recognition.
  • Modeling of learning and memory mechanisms – modeling and analysis algorithms for learning and memory mechanisms in neural system.
  • Global optimization methods – algorithms for global optimization and visualization of multidimensional data.

The research results can be and are applied in energetics, medicine, robotics, neuroinformatics, and computational linguistics. The cluster includes scientists and PhD students from the departments of System Analysis and Applied Informatics in the Faculty of Informatics.

Main researchers

PhD candidates