10th International Conference on Applied Mathematics and Sciences (AMA 2026)

Program Committee

Accepted Papers

Virtual Conference

Scope
The 10^th International Conference on Applied Mathematics and Sciences (AMA 2026) serves as a premier global forum for the presentation and exchange of innovative ideas, research findings, and emerging trends in the mathematical and scientific disciplines. As the fields of mathematics and applied sciences continue to evolve rapidly, AMA 2026 provides an essential platform for showcasing both theoretical advancements and practical applications that contribute fundamentally to scientific and technological progress.

Call for Papers

AMA 2026 welcomes original research papers, state of the art reviews, and innovative studies that advance knowledge across all areas of mathematics and applied sciences. The conference seeks contributions that not only deepen theoretical understanding but also demonstrate impactful real world applications in engineering, technology, industry, and beyond.

Through this collaborative environment, AMA 2026 aspires to inspire new directions in research, support the dissemination of high quality scientific work, and contribute to the continued growth and global relevance of applied mathematics and the sciences.

Topics of interest include, but are not limited to, the following

Mathematics

Algebra, Number Theory and Applications
Differential Geometry and Geometric Analysis
Topology, Algebraic Topology and Applications
Real and Complex Analysis
Functional Analysis and Operator Theory
Set Theory, Logic and Foundations
Discrete Mathematics, Combinatorics and Graph Theory
Network Theory and Complex Networks

Applied Mathematics and Mathematical Modelling

Mathematical Modelling in Science, Engineering and Industry
Multiscale, Multiphysics and Complex Systems Modelling
Stochastic Modelling and Stochastic Processes
Ordinary and Partial Differential Equations (ODEs and PDEs)
Dynamical Systems, Chaos Theory and Nonlinear Science
Fractional Calculus and Fractional Differential Equations
Inverse Problems and Ill posed Problems
Mathematical Biology, Epidemiology and Systems Biology
Bioinformatics, Computational Genomics and Biomedical Modelling
Mathematical Finance, Risk Modelling and Actuarial Science
Climate, Environmental and Sustainability Modelling
Data Assimilation and Extreme Event Modelling
Computational Social Science and Collective Behaviour

Numerical Analysis, Scientific Computing and High Performance Computing

Numerical Linear Algebra and Numerical PDEs
Scientific Computing and Computational Mathematics
High Performance Computing (HPC), GPU and Exascale Computing
Parallel, Distributed and Cloud based Algorithms
AI accelerated Numerical Methods and Neural PDE Solvers
Surrogate Modelling and Reduced Order Modelling
Uncertainty Quantification (UQ) and Probabilistic Numerics
Computational Fluid Dynamics (CFD)
Computational Physics, Chemistry and Materials Science
Scientific Machine Learning (SciML)
Performance Portable Mathematical Software

Optimization, Operations Research and Decision Sciences

Linear, Nonlinear, Convex and Non convex Optimization
Global Optimization, Metaheuristics and Evolutionary Computation
Integer, Combinatorial and Discrete Optimization
Multi objective Optimization and Decision making
Operations Research, Logistics and Supply Chain Modelling
Game Theory, Mechanism Design and Optimal Transport
Variational Methods and Applications
Riemannian Optimization and Geometric Optimization
Federated, Distributed and Stochastic Optimization
Minimax Optimization and Adversarial Methods

Control Theory, Systems Science and Automation

Linear and Nonlinear Control Systems
Optimal, Robust and Adaptive Control
Stochastic Control, Filtering and Estimation
Model Predictive Control (MPC) and Real time Optimization

Networked, Distributed and Cyber Physical Control Systems
Hybrid Dynamical Systems and Automata Theory
Sliding Mode Control and Variable Structure Systems
System Identification and Data Driven Control
Reinforcement Learning for Control and Safe RL
Fault Detection, Diagnosis and Fault Tolerant Control
Control of Autonomous Systems, Robotics and Intelligent Systems
Multi agent Systems, Swarm Control and Cooperative Decision making
Verified, Safe and Explainable Control

Artificial Intelligence, Machine Learning and Computational Intelligence

Mathematical Foundations of Machine Learning
Optimization Methods for ML and Deep Learning
Neural Networks, Deep Learning and Approximation Theory
Generative Models, Diffusion Models and Mathematical Foundations
Scaling Laws and Theory of Large AI Models (LLMs, Transformers)
Physics Informed Neural Networks (PINNs) and Operator Learning
Reinforcement Learning, Control RL and Decision making
Explainable AI (XAI), Trustworthy AI and Robust ML
Fuzzy Systems, Neuro Fuzzy Modelling and Uncertainty Handling
AI for Scientific Discovery and Mathematical Reasoning

Algorithms, Complexity and Theoretical Computer Science

Algorithms and Data Structures
Computational Complexity Theory
Approximation Algorithms and Randomized Algorithms
Quantum Algorithms, Quantum Information and Quantum Control
Cryptography, Coding Theory and Information Security
Post Quantum Cryptography and Lattice based Methods
Algorithmic Game Theory and Network Algorithms
Learning Theory (PAC Bayes, Online Learning, Regret Minimization)
Property Testing and Sublinear Algorithms
Topological Data Analysis (TDA) and Computational Geometry

Interdisciplinary Applications of Mathematics

Mathematical Methods in Medicine, Health and Epidemiology
Mathematical Approaches in Agriculture and Environmental Sciences
Space, Aerospace and Defense Applications
Industrial Mathematics and Engineering Applications
Smart Cities, Energy Systems and Infrastructure Modelling
Materials Modelling, Nanotechnology and Semiconductor Mathematics
Mathematical Foundations of Robotics and Autonomous Systems
Mathematical Physics, Statistical Mechanics and Integrable Systems
Kinetic Theory and Interacting Particle Systems

Statistics, Probability and Data Science

Probability Theory and Stochastic Processes
Mathematical Statistics and Statistical Inference
Bayesian Methods and Computational Statistics
Time Series Analysis and Forecasting
Spatial Statistics and Geostatistics
Statistical Learning, Data driven Modelling and Big Data Analytics
High dimensional Statistics and Random Matrix Theory
Uncertainty Quantification in Data Science

Paper Submission

Authors are invited to submit papers through the conference Submission System by May 09, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Mathematics and Sciences: An International Journal (MathSJ) (Confirmed).

Selected papers from AMA 2026, after further revisions, will be published in the special issue of the following journal.

Important Dates

Third Batch : Submissions after April 21, 2026

Submission Deadline

May 09, 2026

Authors Notification

May 21, 2026

Registration & camera - Ready Paper Due

May 25, 2026

Proceedings

The soft copy of the proceedings will be available on Journal web pages.

The Registration fee is 250 USD for accepted article Authors. Atleast one author of accepted paper is required to register at the full registration rate.

Welcome to AMA 2026