Themes
The conference will feature special sessions covering a wide range of current and emerging topics in mathematical sciences, including:
1. Pure Mathematics
a) Algebra, Number Theory, and Geometry
b) Topology and its Applications
c) Analysis and Functional Analysis
2. Applied Mathematics
a) Mathematical Modeling and Simulation
b) Computational Mathematics and Numerical Analysis
c) Optimization and Control Theory
d) Applications of Differential Equations in Science and Engineering
e) Applications of Graph Theory and Network Analysis
3. Mathematics for Data Science and Machine Learning
a) Mathematical Foundations of Artificial Intelligence
b) Statistical Learning and Predictive Modeling
c) Deep Learning Applications in Science and Industry
d) Data Mining and Big Data Analytics
4. Statistics and Probability
a) Statistical Methods in Health and Life Sciences
b) Bayesian Statistics and Decision Theory
c) Probability Theory and Stochastic Processes
d) Design of Experiments and Survey Sampling
5. Mathematics in Biology and Medicine
a) Biomathematics and Biostatistics
b) Computational Biology and Genomics
c) Mathematical Epidemiology and Public Health
d) Modeling of infectious diseases
6. Mathematics in Finance and Economics, and Actuarial Sciences
a) Financial Mathematics and Risk Analysis
b) Econometrics and Statistical Economics
c) Optimization in Business and Economics
d) Actuarial Science and Insurance Models
7. Mathematics Education
a) Innovative Teaching Methods in Mathematics
b) Curriculum Development and Pedagogical Research
c) Role of Technology in Mathematics Education
In addition to these thematic sessions, participants can engage in paper presentations, oral sessions, and poster displays, providing a dynamic platform for sharing research, exchanging ideas, and fostering collaboration across disciplines.