1.1. High-performance computing systems, methods of their construction and configuration. Problems of operation and application.
1.2. Optimal selection of computational infrastructure and means. Testing and increasing reliability. Automated design.
1.3. Performance evaluation and comparison of different platforms.
1.4. Hardware implementation of computational algorithms. Analogue and hybrid computing devices in technical complexes. Heterogeneous systems. Parallel computation. Distributed computation.
1.5. Computational networks, their analysis, modelling, and optimization. Reconfiguration of computing systems. Access optimization. Blocking prevention. Internet technologies.
1.6. Software solutions for increasing computing systems performance. Infrastructure for solving specific problems.
1.7. Computer graphics. Hardware and software package.
2. Data processing and analysis
2.1. Methods of information processing and storage.
2.2. Bioinformatics and medicine. Quantum informatics.
2.3. Informatics and the problems of security.
2.4. Methods of division and clustering of information objects.
2.5. Statistical methods for data analysis. Software packages.
2.6. Methods of data mining and prediction.
3. Management and decision making
3.1. Control in dynamic systems with feedback. Control structures and methods. Human-computer control systems. Feedback in the control of socioeconomical systems.
3.2. Methods of stabilization and optimization of control systems. Special conditions of control systems. Stability and methods of its achievement. Optimization and optimal control. Stability with random perturbations. Sensitivity of dynamic control systems.
3.3. Risk and robustness in control under uncertainty. Risk and its compensation. Uncertainty models. Synthesis of risk-robust control systems. Probabilistic aspects of risk-robust control.
3.4. Multiobjective optimization in control systems. Methods and procedures for multiobjective optimization. Probabilistic aspects of multiobjective optimization.
3.5. Verbal methods and procedures for decision making. Uncertainty in decision making. Methods of multi-dimensional scaling.
3.6. Control under uncertainty and risk. Transport systems. Project management. Uncertainty in socioeconomical process control.4. Methods of division and clustering of information objects.
4. Intelligence systems and technologies
4.1. Image processing and reconstruction. Probing, tomography, multimodal images. Video stream. Video surveillance.
4.2. Natural Language Processing. Automatic translation Semantic Information Retrieval from Texts. Intelligent Search. Conversational AI.
4.3. Pattern recognition. Methods for visual objects and scenes recognition. Recognition in video stream. Speech recognition. Recognition and identification.
4.4. Neural network construction, training, and analysis.
4.5. ИIntelligent robots. Training, coalitions, control.
4.6 Knowledge bases. Models, organization, search, usage.
5.1 Structure and construction principles of mathematical models. Mathematical models of physical-chemical processes. Models of mathematical macroeconomics. Probabilistic models. Mathematical models of social groups interaction. Modelling of internet communities.
5.2. Macro-system modelling. Macro-system models of equilibrium and non-equilibrium states. Chaotic dynamics in macro-system models. Applications to demography and economics.
5.3. Simulation modelling of information processes.
5.4. Information technologies for modelling.
5.5. Mathematical models of uncertainty and risk.
5.6. Mathematical models in economics, healthcare and environment protection.
6. Mathematical foundations of information technology
6.1. Algorithms and their performance estimation.
6.2. Algebra, number theory, coding theory. Cryptography, encryption and decryption.
6.3. Graph theory, combinatorics.
6.4. Probabilistic aspects of informatics. Probabilistic estimations of achievability and efficiency.
6.5. Mathematical logic. Theoretical programming. Non-traditional logics.
7.1. Methods of software development, orgranization, tools for testing and support.
7.2. Databases. «Big Data» organization. Methods of archiving and long-term storage.
7.3. Methods and tools for software debugging.
7.4. Software platforms. Methods of construction and usage.
7.5. Parallel computating organization. Grid-technologies.
7.6. Languages and translators. New elements, construction methods, and systems. Computer Science
8. Applied aspects of computer science