The 5th International Conference on Applied Mathematics and Information Science (ICAMIS2024) will be held in Zhengzhou, China, on November 21, 2024. The Conference is organized by  International Association of Management Science & Engineering Technology (IAMSET).
     ICAMIS2024 aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Applied Mathematics and Information Science. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Applied Mathematics and Information Science. With its high quality, it provides an exceptional value for students, academics and industry researchers.


Applied Mathematics
  • Nonlinear Dynamics
  • Operations Research
  • Mathematical Biology
  • Applied Commutative Algebra
  • Mathematical Economics
  • Mathematical Physics
  • Convexity Theory
  • Applied Mathematical Analysis
  • Numerical and Analytical Methods for Fluid Dynamics and Statistical Mechanics
Mathematics and Computation
  • Soft Computing
  • Data Engineering
  • Data Fusion
  • Computational Intelligence
  • Complex Networks and Dynamic Systems
  • Data Science and Signal Processing
  • Genetic Algorithms and Modelling
  • Learning and Evolutionary Computing
  • Fuzzy Logic and Approximate Reasoning
Pure Mathematics
  • Probability
  • Algebra
  • Geometric Analysis
  • Differential Equations
  • Partial Differential Equations
  • Numerical Analysis
  • Nonlinear Equations
  • Integral Equations
Mathematics and AI
  • Intelligent Systems
  • Virtual Reality
  • Data Mining
  • Mobile Computing
  • Machine Learning
  • Adaptive ad Supervisory Control
  • Image Processing and Computer Vision Systems
  • Manufacturing, Automation and Mobile Robots
Mathematics and Optimization
  • Control Theory
  • Mean Field Games
  • Discrete Optimization
  • Linear and Nonlinear Programming
  • Stochastic Control and Optimization
  • Dynamic Games and Optimal Transport
  • Finance and Economics Modelling and Optimization