Call for Papers

The 8th International Conference on Mathematics and Statistics, ICoMS 2025 is a major annual international conference which 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 experience, and exchange and cross-fertilize their ideas. Original papers are solicited in topics including, but not limited to the following: 

Mathematical Modeling and Optimization
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

Statistical Analysis and Inference
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

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

Probability Theory and Stochastic Processes
Advances in Probability Theory and Stochastic Models
Applications of Stochastic Processes in Finance and Insurance
Random Walks and Their Applications in Physics and Biology
Markov Chains and Their Use in Statistical Modeling
Queueing Theory and its Applications in Network Systems

Time Series Analysis and Forecasting
Time Series Models for Economic and Financial Forecasting
Statistical Methods for Forecasting with Big Data
Econometrics and Statistical Modelling of Time Series Data
Advanced Techniques in Seasonal Adjustment and Trend Analysis
Statistical Analysis of Multivariate and Non-Stationary Time Series

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

Applied Mathematics and Interdisciplinary Applications
Mathematical Biology: Modeling in Population Dynamics and Epidemiology
Mathematical Finance and Risk Management Models
Computational Fluid Dynamics and Mathematical Models in Physics
Cryptography, Information Security, and Mathematical Foundations
Mathematical Methods in Environmental and Climate Studies