Call For Papers
The International Conference on Applied Mathematics, Modelling and Statistics Application, AMMSA 2025 aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all interdisciplinary areas of Mathematics and Statistics to share their experiences, and exchange and cross-fertilize their ideas. Original papers are welcome in general topics including, but not limited to the following.
Mathematical Modeling and
Optimization
●Pure mathematics
●Advanced Mathematical Modeling in Engineering and Sciences
●Optimization Algorithms and Applications in Real-World
Problems
●Nonlinear Dynamics and Chaos Theory in Complex Systems
●Multi-Objective Optimization and Decision-Making Techniques
●Computational Methods in Mathematical Programming
Computational Mathematics and
Numerical Analysis
●High-Performance Computing for Mathematical Simulations
●Numerical Methods for Solving Partial Differential Equations
●Scientific Computing in Mathematical and Statistical
Applications
●Computational Algebraic Geometry and Applications
●Monte Carlo and Markov Chain Methods in Numerical Analysis
Data Science and Machine
Learning
●Mathematical Foundations of Machine Learning Algorithms
●Deep Learning Techniques in Statistics and Data Science
●Statistical Learning and Pattern Recognition
● Data Mining and Big Data Analytics in Statistics
● Predictive Analytics: Statistical Approaches and
Applications
Statistical
Analysis, Probability Theory and Stochastic Processes
●Modern Techniques in Statistical Inference and Estimation
●Bayesian Methods and Applications in Statistics
●Multivariate Analysis and High-Dimensional Data
●Robust Statistical Methods for Outliers and Incomplete Data
●Hypothesis Testing and Statistical Decision Theory
●Advances in Probability Theory and Stochastic Models
●Random Walks and Their Applications in Physics and Biology
●Markov Chains and Their Use in Statistical Modeling
Applied Mathematics and Interdisciplinary Applications
●Computational Fluid Dynamics
●Mathematical Models in Physics
●Mathematical Biology
●Mathematics and Modelling in Optics and
Electromagnetics
●Mathematical Methods in Environmental and Climate
Studies
●Mathematical Modelling in Engineering
●Nonlinear Problems in Mechanics
●Cryptography, Information Security, and
Mathematical Foundations