Международная конференция ICMM&IT 2025

24–26 сентября 2025 г., г. Алматы, Казахстан

Session and Topics

Mathematical Sciences

  • Fundamental and applied mathematics, mathematical modelling
  • Advances in Nonlinear Analysis
  • Application of Dynamical Systems Theory
  • Complex Analysis and PDE
  • Function Spaces and their Applications
  • Pseudo differential equations
  • Optimal control, number theory
  • Mathematical statistics
  • Algebra, logic, geometry
  • Actuarial Mathematics
  • Inverse and Ill-posed Problems
  • Mathematical Modeling in Natural Sciences
  • Mathematical Modeling in Biomedicine
  • Mathematical Modeling in Finance and Economics

Mechanics, Robotics, and Space Technologies

  • Theoretical and Celestial Mechanics
  • Fluid Mechanics
  • Solid Mechanics
  • Mechanics of Materials
  • Experimental Mechanics
  • Thermal Energy Storage
  • Alternative Energy Sources
  • Space Engineering and Technology
  • Robotic systems

Computational and Information Technologies

  • Bayesian Analysis in Applied Problems
  • Multivariate Analysis Without Dimensionality Reduction
  • Regression Under Multicollinearity
  • Anomaly Detection in Time Series
  • Spatio-Temporal Analysis in Ecology
  • Quantum Methods in Numerical Modeling
  • Parallel and Quantum Algorithms for Applied Problems

AI and Intelligent Control System

  • Architectures and Optimization of Large Language Models (LLM)
  • Application of LLMs in Intelligent Control Systems
  • Modeling and Application of Digital Twins
  • Digital Twins in Industry, Energy, and Smart Cities
  • Artificial Intelligence in Medical Diagnostics and Treatment
  • Intelligent Decision Support Systems in Medicine
  • AI Solutions for Business Analytics and Process Optimization
  • Automation and Digitalization of Enterprises Using AI
  • Smart Transportation Systems and Intelligent Traffic Lights
  • AI for Urban Infrastructure Management and Smart Cities
  • Internet of Things and Intelligent Sensor Networks
  • Security of Cyber-Physical and IoT Systems
  • Intelligent Data Processing at the Edge (Edge AI)
  • Generative Models in Intelligent Systems
  • Artificial Intelligence in Energy and Sustainable Development
  • AI Solutions for Predictive Maintenance and Object Monitoring
  • Robustness, Interpretability, and Security of AI Systems
  • Ethical and Regulatory Aspects of AI Implementation
  • Intelligent Methods for Big Data Analysis
  • Machine Learning for Automated System Management
  • Integration of AI into Distributed Computing Systems and Cloud Platforms
  • Computer Vision and Pattern Recognition
  • Fake Detection and Combating Disinformation with AI