📢 Call for Papers – ICoMS 2026
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.
ICoMS 2025 conference theme: "Mathematics & Statistics: The Computational Heart of Artificial Intelligence---from Data to Decisions–Bridging Theory and Algorithms in the Era of Intelligent Systems".
Original papers are solicited in topics including, but not limited to the following:
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
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
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
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