Scientific directions

Mathematical modeling of technological processes

The direction is dedicated to the discussion of recent developments and applications of wide range of numerical methods apllied for many practice problems. The areas of interested range from the mathematical and computational methods to the modeling and simulation of challenging applications. The main interested topics includes but not limited to:

  1. Finite differences and finite volume methods
  2. Finite elements methods
  3. Meshless, meshfree and wavelet methods
  4. Particle methods
  5. High order computational methods
  6. Mesh generation and adaption
  7. Shape optimization
  8. Computational acoustics
  9. Computational fluid mechanics
  10. Computational solid and structural mechanics
  11. Computational damage and fracture mechanics
  12. Computational environmental science
  13. Computational engineering sciences and physics
  14. Multi-scale and multi-physics simulation
  15. Modeling and analysis of composite materials
  16. Modeling and analysis of problems with free boundaries
  17. Moving materials and fluid-structure interaction


High performance computing

The direction is devoted to give an overview of new developments, applications, and trends in high performance computing technologies. The main interested topics includes but not limited to:

  1. All technological aspects of the applications of parallel computer systems
  2. High level parallel programming languages and systems
  3. Methods and tools for parallel solution of large-scale problems
  4. Languages, environments and software tools supporting parallel processing
  5. Performance measurement and analysis tools
  6. Software for grid and cloud computing
  7. Scalable computing
  8. GPU for general purpose computations (GPGPU)
  9. Modeling and Simulation using HPC Systems
  10. Reliable Parallel and Distributed Algorithms


Information management, processing and security

Mass introduction of information technologies in complex systems from various fields of science and technology, including in the poorly formalized fields of knowledge have stimulated the rapid growth of research problems in data analysis, which includes the problems of management, processing and protection of information. These problems became the subject of intense research and developed within the class of problems of transformation and processing of information. This direction is devoted to consideration of problems of pattern recognition, decision theory, information and computer technology, information security and protection of information, mathematical models and forecasting methods, processing, analysis and storage of information. The main interested topics includes but not limited to:

  1. Pattern recognition, theory of decision-making
  2. Information and computing technologies
  3. Information security and information protection
  4. Mathematical models and forecasting techniques
  5. Processing, analysis and storage of information


Technological process automation and control

Solving problems of reducing the cost and labor of development, improvement of the efficiency and quality of being developed general purpose automated information systems can be achieved using formal methods of analysis and synthesis of control and design systems, creating on this basis instrumental software tools and industrial information technology of computer-aided design. Described issues are of great importance for the design of automated systems and control of technological processes. The direction includes consideration of issues aimed at developing scientific bases, models and methods for the identification of manufacturing processes, systems and integrated control systems, automated scientific research systems and methods of construction of systems of information processing and management, and design automation systems. The main interested topics includes but not limited to:

  1. Scientific bases, models and methods for the identification of manufacturing processes; systems and integrated control systems
  2. Development of automated scientific research systems
  3. Development of methods for building data processing and management systems
  4. Computer-aideddesign


New information technologies in education

Computer technology can be used to practice the psychological and pedagogical development to ensure the transition from mechanical assimilation of knowledge to master the ability to independently acquire new knowledge, develop information competence of the future expert. The main interested topics includes but not limited to:

  1. Security and fault tolerance
  2. e-leraning
  3. Distance learning
  4. Ontologies of search
  5. Artificial Intelligence
  6. Distributed and Parallel computing
  7. Cloud Computing
  8. Operating systems, scheduling, mapping and load balancing
  9. Verification and Validation