International Conference on Mathematical Modeling in Artificial Intelligence
(ICMMAI-26)

13th December 2026 || Coimbatore - India || Hybrid Mode

Proudly Organized by INRI

Join global experts to share ideas, connect, and innovate.
🎉 Coupon Copied Successfully!

Conference Session Tracks

The International Conference on Mathematical Modeling in Artificial Intelligence (ICMMAI), scheduled to be held on 13th December 2026 in Coimbatore, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Mathematical Modeling.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – Foundations of Mathematical Modeling in AI
    This track focuses on the theoretical underpinnings of mathematical modeling as applied to artificial intelligence. It aims to explore the mathematical principles that drive the development of intelligent systems. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 02 – Machine Learning Algorithms and Mathematical Techniques
    This session will delve into the integration of mathematical techniques with machine learning algorithms. Participants are encouraged to present innovative approaches that enhance the performance and interpretability of these algorithms. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – Neural Networks: Mathematical Perspectives
    This track examines the mathematical foundations of neural networks, including their architecture and training methodologies. It seeks contributions that highlight novel mathematical insights into neural network design and optimization. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 04 – Simulation Techniques in Intelligent Systems
    This session emphasizes the role of simulation in the development and evaluation of intelligent systems. Papers that present new simulation methodologies or case studies demonstrating their application are particularly welcome. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 05 – Fuzzy Logic and Its Applications in AI
    This track explores the application of fuzzy logic in artificial intelligence, focusing on its mathematical formulation and practical implementations. Contributions that demonstrate the effectiveness of fuzzy logic in real-world AI scenarios are encouraged. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 06 – Applied Mathematics in AI Development
    This session highlights the role of applied mathematics in the advancement of artificial intelligence technologies. Papers that showcase real-world applications of mathematical methods in AI are particularly sought after. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 07 – Deep Learning: Mathematical Models and Frameworks
    This track investigates the mathematical models that underpin deep learning frameworks. Submissions that propose new mathematical approaches to improve deep learning performance are highly encouraged. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 08 – Optimization Techniques for AI Systems
    This session focuses on optimization methods that enhance the efficiency and effectiveness of AI systems. Contributions that present novel optimization algorithms or applications in AI contexts are welcome. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 09 – Computational Models in Data-Driven AI
    This track examines the role of computational models in the development of data-driven artificial intelligence. Papers that illustrate the interplay between computational modeling and AI applications are encouraged. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 10 – Knowledge Representation in Intelligent Systems
    This session explores mathematical approaches to knowledge representation in intelligent systems. Contributions that address challenges and advancements in this area are particularly valued. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 11 – Predictive Analytics: Mathematical Insights and Innovations
    This track focuses on the mathematical foundations of predictive analytics within the context of artificial intelligence. Papers that present innovative mathematical models for predictive analytics applications are encouraged. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
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 SDG 4
    Quality Education
  • SDG 8 SDG 8
    Decent Work and Economic Growth
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 11 SDG 11
    Sustainable Cities and Communities

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

Phone: +91 9677007228