All Session Tracks

• Track 01 – Applied Mathematical Techniques in Machine Learning
  This track focuses on the integration of advanced mathematical techniques in the development of machine learning algorithms. Contributions that explore novel applications of linear algebra, calculus, and optimization in enhancing machine learning models are particularly encouraged. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
• Track 02 – Statistical Methods for AI and Data Science
  This session invites papers that delve into statistical methodologies applicable to artificial intelligence and data science. Topics may include Bayesian inference, hypothesis testing, and statistical learning theory as they relate to AI applications. Aligned SDGs: SDG 7 – Affordable and Clean Energy
• Track 03 – Optimization Algorithms in Computational Mathematics
  This track emphasizes the role of optimization algorithms in solving complex mathematical problems within computational mathematics. Submissions should highlight innovative optimization techniques and their practical applications in various fields. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
• Track 04 – Numerical Methods for Machine Learning
  This session is dedicated to the exploration of numerical methods that facilitate machine learning processes. Papers discussing the implementation and efficiency of numerical algorithms in training and validating machine learning models are welcome. Aligned SDGs: SDG 4 – Quality Education
• Track 05 – Mathematical Modeling in AI Applications
  This track seeks contributions that illustrate the use of mathematical modeling in real-world AI applications. Emphasis will be placed on models that effectively represent complex systems and inform decision-making processes. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
• Track 06 – Deep Learning: Mathematical Foundations and Innovations
  This session focuses on the mathematical foundations that underpin deep learning architectures. Contributions that present new theoretical insights or innovative mathematical approaches to enhance deep learning performance are encouraged. Aligned SDGs: SDG 4 – Quality Education
• Track 07 – Probability Theory in Machine Learning
  This track explores the application of probability theory in the development and analysis of machine learning algorithms. Papers that address probabilistic models, uncertainty quantification, and risk assessment in AI are particularly relevant. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure
• Track 08 – Neural Networks: Mathematical Perspectives
  This session invites research that examines the mathematical principles governing neural networks. Topics may include convergence analysis, training dynamics, and the role of activation functions from a mathematical standpoint. Aligned SDGs: SDG 4 – Quality Education
• Track 09 – Algorithms for Data Science: A Mathematical Approach
  This track is dedicated to the development and analysis of algorithms used in data science, grounded in mathematical theory. Submissions should focus on algorithmic efficiency, scalability, and their mathematical underpinnings. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure
• Track 10 – Statistical Learning and Its Applications
  This session aims to showcase advancements in statistical learning techniques and their applications across various domains. Papers that bridge theory and practice in statistical learning are highly encouraged. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
• Track 11 – Innovations in Computational Mathematics for AI
  This track highlights recent innovations in computational mathematics that support the advancement of artificial intelligence. Contributions that demonstrate the intersection of computational techniques and AI methodologies will be prioritized. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities

Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.

• SDG 4
  Quality Education
• SDG 7
  Affordable and Clean Energy
• SDG 9
  Industry, Innovation and Infrastructure
• SDG 11
  Sustainable Cities and Communities