Theme
1. Computer science and software engineering
1-1. Mathematical issues of information technology
1-2. Quantum and neuromorphic computing
1-3. Methods and tools for intelligent data processing
1-4. Neural network technology and machine learning methods
1-5. Semantic models and natural language processing
1-6. Game technology, augmented and virtual reality systems
1-7. Theoretical and applied issues of software engineering
1-8. Models and methods of software quality management
2. Computer engineering and cybersecurity
2-1. Parallel and distributed information processing in complex systems
2-2. Models and methods for developing Internet of Things systems
2-3. Models and methods of analysis, synthesis, verification and diagnostics of computer systems and networks
2-4. Models and methods of designing systems for critical applications
2-5. Cyber-physical and quantum computing technology
2-6. Information protection and cybersecurity
3. Systems analysis, applied information systems and technology
3-1. Modeling, verification and optimization of solutions
3-2. Digital transformation of enterprises
3-3. Decision-making and forecasting systems
3-4. Models and methods of information technology
3-5. Design of information systems and technology
3-6. Innovative information technology in various sectors: education, medicine, economics art etc
3-7. Multimedia systems
4. Applied information technology in energy engineering and automation
4-1. Theoretical and applied issues of control systems
4-2. Smart grids and microgrids
4-3. Mathematical and computational modeling of physical objects and processes, digital twins
4-4. Intelligent systems and artificial intelligence in the management of energy facilities, production and power plants
4-5. Energy management of renewable energy systems and electricity supply
4-6. Control systems for robotic systems and complexes including electric vehicles
4-7. Diagnostics and assessment of complex systems