Topics

The conference covers the folloing topics (but not limited):

Track 1: APPLIED MATHEMATICS   

  • Fractional Calculus and Applications

  • Differential Equations and Modern Applications

  • Stochastic Differential Equations

  • Mathematical Methods in Physics

  • Applied Mathematics to Economics

Track 2: MATHEMATICAL MODELING AND BIG DATA ANALYTICS

  • Mathematical Foundations for Big Data Modeling

  • Big Data Processing Using Mathematics and Artificial Intelligence

  • Big Data Analytics and High-Dimensional Statistics

Track 3: ARTIFICIAL INTELLIGENCE APPLICATIONS IN VITAL SECTORS

  • Interdisciplinary Applications of Artificial Intelligence

  • New generation Technologies and Artificial Intelligence

  • Iot and its Applications

Track 4: ARTIFICIAL INTELLIGENCE AND OPTIMISATION METHODS

  • Hybrid Approaches Combining Artificial Intelligence and Mathematical Optimization 

  • Optimization in Computer Networks and Artificial Intelligence

Track 5: ADVANCED ALGORITHMS FOR MACHINE LEARNING AND DEEP LEARNING

  • Advanced Linear Algebra for Machine Learning

  • Probabilty and Statistics in Machine Learning Algorithms 

  • Graph-Based Learning Algorithms

  • Efficient and Scalable Algorithms for Large-Scale Machine Learning 

  • Optimization Techniques for Training Deep Neural Networks