IEEE SAIC-2025

Track 1. System Analysis of Complex Systems (SACS)

1. Methods, models and technologies of system analysis of complex processes 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 security of complex systems in conditions of uncertainty and risks

4. Cyber-physical systems and digital twins: methods, models, applications

5. Methods and models for Internet of Things

6. Nonlinear problems of system analysis

7. Cognitive modelling of complex systems

Track 2. Methods, Tools, and Applications of Systems Mathematics (MTASM)

1. Mathematics for systems analytics: fundamentals, methods, and   challenges

2. Machine learning (ML) methods for big data processing of dissipative dynamical systems’ long-time behavior

3. System mathematics and ML methods

4. Synthesis of Neuro-Linguistic Programming (NLP) and Reinforcement Learning (RL) methods for the real time decision making

5. Hierarchical reinforcement learning for navigation problems

6. Performance optimization for business-critical systems

7. Variational approach for the satellite image processing

Track 3.  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. Intelligent 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

10. Medical image processing, recognition and diagnostics with application of intelligent methods

Track 4. Intelligent Computing Technologies (ICT)

1.Cloud, Cluster, Grid and P2P Computing

2. IoT/Edge Computing/Autonomous Things

3. Quantum Computing and Information Processing

4. Mobile and Wireless Computing

5. Sensor Networks and Embedded Systems

6. SOA and AI-Driven Development for industrial IT scenarios

7. Computer Architecture and VLSI

8. No Code/Low Code technologies

9. Data Analytics and Visualization

10. Natural Language Processing and Machine Translation

11. Smart Wearable and Diagnostic Systems for E-Health

12. Computer-intensive methods in signal processing

13. Semantic interoperability in the Internet of Things

14. Energy Management and Green Computing

Track 5. Data Mining for Complex Socio-Economic Processes and Systems (DMCSEPS)

1. Analyzing, modelling and forecasting of the socio-economic trends, systems and processes

2. Mathematical models and methods of technical and fundamental analysis of financial markets

3. Data mining methods for stock-market exchange scenarios

4. Methods, models and tools for financial risks management

5. Decision making in business and finance management

6. Data Mining in Marketing Analytics

7. Scenario planning of complex socio-economic processes and systems