Topics

Conference Topics

Six Symposia, One Multi-Conference
Working languages: Russian / English · Regulation: 10 minutes report, 5 minutes Q&A
SYMPOSIUM 1
Industrial Control Software for Cyber-Physical Systems
Chair — Vladimir Zyubin, PhD, Dr.Sci., Prof., Institute of Automation and Electrometry of the Siberian Branch of the Russian Academy of Sciences (IA&E SB RAS), Novosibirsk
  • Formal specification, verification, and validation of industrial control software
  • Requirements engineering for reliable industrial control and automation systems
  • Domain-specific languages and tools for industrial control software
  • Statistical, machine learning, and data-driven methods for industrial control software
  • Ontologies and semantic technologies for industrial control system domain
  • Methodologies and tools for design, modeling, and development of cyber-physical production systems (CPPS)
  • Model-based and model-driven development in industrial control systems software
  • Process-oriented and component-based programming approaches for industrial automation
  • Test-driven development, testing frameworks, and quality assurance in industrial control domain
  • Deductive, formal, and AI-assisted methods in control software verification and safety assurance
  • Case studies and industrial applications in manufacturing, power systems, robotics, predictive maintenance, and smart factories
SYMPOSIUM 2
Smart Energy
Chair — Alexandra Khalyasmaa, PhD, Associate Prof., Ural Federal University (UrFU), IEEE IAS Member, Yekaterinburg
  • Automated Electrical Systems
  • Diagnostic, Prognostic and Maintenance Methods and Tools
  • Power Equipment, Electrical Machines and Drives
  • Information and Communication Technologies in Industry
  • Smart Grids and Microgrids
  • Power Engineering Education
SYMPOSIUM 3
Optimization Problems of Complex Systems
Chair — Alexey Rodionov, PhD, Dr.Sci., Prof., Institute of Computational Mathematics and Mathematical Geophysics of the Siberian Branch of the Russian Academy of Sciences (ICM&MG SB RAS), Past-Chair of IEEE Siberia Section, Novosibirsk
Contributions with a clear industrial application — such as reliability and resilience analysis of power grids, pipeline networks, and industrial monitoring systems — are particularly encouraged.
  • Reliability and Resilience Optimization of Power Grids, Pipeline, and Industrial Monitoring Networks
  • Optimization Problems in Modeling of Real Industrial, Engineering, and Infrastructure Systems
  • Simulation and Imitation Modeling of Industrial and Power Systems
  • Mathematical Methods for Solving Optimization Problems
  • Artificial Intelligence in Optimization and Optimization Problems in AI Systems
  • Digital Twins and Their Use in Optimizing Scientific Experiments and Production Processes
  • Optimization Problems in Process Management of Computations
  • Optimization Models and Methods for Cybersecurity
  • Optimization Problems in the Construction and Operation of Geoinformation Systems
SYMPOSIUM 4
Fundamentals of Next Generation Communications and Storage
Chair — Alexandr Efimov, PhD, Associate Prof., Siberian State University of Telecommunications and Information Sciences (SibSUTIS), Novosibirsk
Co-Chairs — Pavel Rybin, PhD, Associate Prof., National Research University Higher School of Economics, Tikhonov Moscow Institute of Electronics and Mathematics, Moscow;
Alexey Frolov, D.Sc., Professor, Skolkovo Institute of Science and Technology, Moscow
  • Information Theory and Fundamental Limits
  • 6G Physical Layer: Waveforms, Modulation, and Coding Schemes
  • Massive and Holographic MIMO, Integrated Sensing and Communications (ISAC)
  • Multiple Access, Resource Allocation, and Network Slicing
  • AI/ML-Based Communications and Next-Generation IoT Systems
  • Algebraic and Distributed Storage Coding (Combinatorics, Regenerating Codes, Flash Memory)
  • Distributed Computation, Blockchain, Federated Learning, and Edge Computing
  • Data Security and Differential Privacy
SYMPOSIUM 5
Data Analysis Technologies with Applications
Chair — Anna Korobko, PhD, Associate Prof., Reshetnev University, Krasnoyarsk
This symposium focuses on data engineering, statistical and machine-learning methods, and applied analytics for large-scale data.
  • Data Fusion, Mining, and Predictive Modelling
  • Pattern Recognition, Image Recognition, and Deep Learning
  • Evolutionary Computing and Optimization
  • Process Mining and Data Virtualization
  • Big Data and Exploratory Data Analysis
  • Text, Web, and Social Data Analytics
  • Semantic Web Technologies and Cognitive Modeling
  • Decision Support Systems and Smart Cities / Urban Data Analytics
  • Data Quality, Integrity, and Large-Scale / NoSQL Databases
  • Data Warehouse Management and Query Optimization
  • In-Network and In-Memory Data Processing
SYMPOSIUM 6
Knowledge, Ontology, and Theory
Chair — Dmitry Palchunov, PhD, Dr.Sci., Prof., Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences (IM SB RAS), NSU, Novosibirsk
This symposium focuses on formal and logic-based methods for knowledge representation and reasoning — ontologies, theories, and symbolic AI — as a counterpart to statistical, data-driven approaches.
  • Logical and Symbolic Methods for Knowledge Discovery from Structured and Unstructured Data
  • Machine Learning for Ontology and Knowledge-Base Construction
  • Inductive Reasoning
  • Systematization of Knowledge
  • Knowledge Engineering and Knowledge Management
  • Logic-Based Extraction of Knowledge from Natural Language Texts
  • Development of Subject Domain Ontologies
  • Generation of Subject Domain Theories
  • Development of Ontological and Semantic Models of Subject Domain
  • Formal Concept Analysis
  • Logical Semantics of Natural Language
  • Fuzzy Logic

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