The interest areas of the conference include but are not limited to:
A. Algebra and Its Related Topic
- Number Theory
- General Algebraic Systems
- Field Theory and Polynomials
- Commutative Algebra
- Algebraic Geometry
- Linear and Multilinear Algebra; Matrix Theory
- Associative Rings and Algebras
- Non-associative Rings and Algebras
- Category Theory; Homological Algebra
- Topological Groups, Lie Groups
- Graph Theory
- Group Theory
- Cryptography
B. Analysis
- Real Functions
- Measures and Integration
- Functions of a Complex Variable
- Several Complex Variables and Analytic Spaces
- Special Functions
- Approximations and Expansions
- Harmonic Analysis on Euclidean Spaces
- Integral Transforms, Operational Calculus
- Functional Analysis and Operator Theory
- Calculus of variations
C. Applied Mathematics
D. Differential Equations
- Ordinary Differential Equations
- Partial Differential Equations
- Dynamical Systems and Ergodic Theory
- Difference and Functional Equations
- Integral Equations
- Numerical Analysis
E. Geometry
- Convex and Discrete Geometry
- Differential Geometry
- General Topology
- Algebraic Topology
F. Fluid Dynamics
- Mechanics of Particles and Systems
- Mechanics of Deformable Solids
- Fluid Mechanics-dynamic and static
- Classical Thermodynamics, Heat Transfer
- Quantum Theory
- Statistical Mechanics, Structure of Matter
- Relativity and Gravitational Theory
- Fracture and Fatigue
G. Operations Research and Optimization
- Calculus of Variations and Optimal Control; Optimization
- Operational Research, Mathematical Programming
- Game Theory, Economics, Social and Behavioral Sciences
- Systems Theory; Control
- Computer Science
H. Statistics
- Probabilitiy Theory
- Statistics
- Survival Analysis
- Statistical inference
- Quality Control
- Robust Statistics
- Extreme Value Theory
- Bayesian Statistics
- Time Series
- Reliability
I. Statistical Modeling
- Design of experiments
- Deterministic model
- Effective theory
- Predictive model
- Response Surface methodology
- Statistical model specification
- Statistical model validation
- Stochastic Processes
J. Data Science
- Decision tree
- Support vector machine
- Clustering
- Dimensionality reduction
K. Artificial Intillegence
- Machine learning
- Deep learning
- Artificial neural network
L. Mathematics Education
- Mathematics Teaching and Learning
- In-service and Pre-service Teacher Education
- Mathematics Curriculum and Content Organization
- Pedagogical Methods and Strategies
- History of Mathematics in Mathematics Education
- ICT and Multi-Media in Mathematics Education
- Educational Technologies for Mathematics Education
- Motivational Strategies and Metacognition
- Psychology of Mathematics Education
- Socio-Cultural Issues
M. Others
- Mathematical Finance
- Mathematical Biology
- Differential Game Theory