11th International Conference on Mathematics and Artificial Intelligence (ICMAI 2026)

The 11th International Conference on Mathematics and Artificial Intelligence (ICMAI 2026) explores the intersection of mathematics and artificial intelligence, focusing on intelligent algorithms, machine learning, data analysis, and their diverse applications across various fields.

Key Topics

• Intelligent algorithms and soft computing
  • Reinforcement learning for intelligent decision making
  • Artificial intelligence frontier numerical calculation method
  • Data fusion algorithm and application
  • Data Mining
  • Causal learning and interpretability
  • Graph Computing and Graph Neural networks
  • Three-way decision making and Machine Learning
  • Multigranular cognitive computing
  • Computer Science, general
  • Computational Creativity
  • Experimentation of Combinatorial Algorithms
  • Evolutionary Computation
  • Machine Learning
  • Learning in adaptive systems
  • Soft and Evolutionary Computing
  • Neural Nets
  • Machine Learning Applications
  • Algorithm Design for Intelligent Solutions
  • Data and Text mining
  • Graph-based models for human reasoning
  • Fuzzy Logic
  • Knowledge reasoning, statistical learning, deep learning, reinforcement learning
• Artificial Intelligence Theory and Application
  • Algebra and AI
  • Fuzziness and AI
  • Artificial Intelligence (incl. Robotics)
  • Trustworthiness and AI
  • AI and Education
  • AI and Digital Entertainment
  • AI applications
  • AI and Smart Cities
  • Human Computer Interaction
  • AI in Learning Environments
  • Knowledge Engineering
  • Robotics / Softrobotics and Control Applications
  • Vision and Perception
  • Natural Language Processing
  • Image Analysis
  • Knowledge acquisition
  • Medical Image Processing
  • Video Analysis
  • Knowledge Representation and Reasoning
  • Intelligent Vehicles
  • Smart Medical Systems
  • Intelligent Robot and Systems
• Mathematical Theory and Fundamentals
  • Probability and Statistics
  • Cognitive modeling and Computing
  • Discrete Mathematics and Control
  • Differential Equations and Applications
  • Numerical Analysis
  • Linear Algebra and Applications
  • Approximation Theory
  • Operations Research and Optimization
  • Computability Theory
  • Combinatorics
  • Matrix Computations
  • Discrete Geometry
  • Partial Differential Equations
  • Ordinary Differential Equations
  • Stochastic Processes
  • Statistical Finance
  • Nonlinear Processes in Physics
  • Financial Mathematics
  • Graph Theory
  • Game Theory
  • Mathematical Biology
  • Linear Programming
  • Mathematical Economics
  • Mathematical Chemistry
  • Mathematical Psychology
  • Mathematical Physics
  • Mathematical Sociology