Research areas

Artificial intelligence and expert systems:

• development of expert systems;
• knowledge bases;
• methods of knowledge acquisition;
• machine learning;
• evolutionary computation;
• neural networks;
• artificial immune systems;

General problems of multi-agent systems

• development of specific agent architectures;
• maintaining of functional integrity of multi-agent systems;
• conflicts, compromises and negotiations;
• market approach, renewable resources management;

Computational science:

• hierarchical genetic algorithms,
• modeling of heuristic systems,
• adaptive finite element method simulations,
• Computer Aided Design / Computer Aided Engineering  (CAD/CAE) systems
• parallel direct solvers for distributed and shared memory architectures
• isogeometric analysis
  

Intelligent agent-based information and decision support systems

• rule-based decentralized expert systems;
• knowledge aquisition in heterogenous environments;
• group decision support systems;
• e-commerce;
• systems for computer-aided teaching;
• expert systems for casting defects diagnosis;
• frameworks for information shopping systems;

Organization of computation process using multi-agent systems:

• evolutionary multi-agent systems;
• adaptive multiobjective optimization and classification techniques - approaches based on neural networks and fuzzy logic;

Technology of multi-agent systems

• mobility in network environment;
• interoperability between different agent platforms;

Methodology of design and implementation of information systems:

• relational and object oriented databases;
• CASE methodology;
• data mining;
• data on-line analytical processing (OLAP)
• social network analysis.