Conference Topics

Track 1. System analysis of complex systems (SACS)

  1. Methods, models and technologies of system analysis of complex systems of different nature in conditions of uncertainty and risks.
  2. System methodology of foresight in the tasks of planning and making strategic decisions.
  3. Problem-oriented methods of analysis, diagnostics, safety and and security of complex systems in conditions of uncertainty and risks
  4. Cyber-Physical Systems and Control
  5. Mathematical methods, models and technologies of Internet of Things
  6. Nonlinear problems of system analysis.
  7. System methodology of sustainable development.
  8. Cognitive modelling of complex systems.

Track 2.  Computational Intelligence (CI)

  1. Fuzzy logic systems,  fuzzy neural networks and applications
  2. Neural networks, Deep learning neural networks
  3. Machine learning and self-learning
  4. Convolutional neural networks
  5. Intellectual decision-making systems
  6. Genetic algorithms and evolutionary modeling
  7. Particle swarm optimization and ant colonies algorithms
  8. Pattern recognition, image processing, automatic speech recognition.
  9. Hybrid systems of computational intelligence

Track 3. Intelligent Computing Technologies  (ICT)

  1. Service – oriented computing (SOC)
  2. Ontologies, Microservices, Containers, API in SOC
  3. Semantic Web Services and analytics
  4. Cloud Computing (IaaS, PaaS, SaaS, DaaS)
  5. Blockchain and Serverless Computing
  6. Grid Computing
  7. Distributed Fog Computing
  8. Human-centric Computing
  9. Agents and Multi-agent Systems
  10. Context-aware pervasive systems
  11. Bioinformatics and Bio-Inspired Computing

Track 4. Data Science and Risk Management in financial world (DSRM)

  1. Big Data tasks: business force
  2. Analyzing, modelling, and forecasting of the economic and social trends
  3. Data mining methods for stock-market exchange scenarios
  4. Methods, models and means for financial risks management.
  5. Information and Telecommunication risks analysis and management
  6. Decision Support Systems for data mining economic indexes
  7. Machine learning versus hazards and risks
  8. Dynamical systems and decision making under uncertainties
  9. Risks evaluating, modelling and management in medicine, economics, business, finance, insurance