International Conference on Computational Mathematics, Modelling and Artificial Intelligence CMMAI on September 17-19, 2026 in Kochi, India - Conference Index

International Conference on Computational Mathematics, Modelling and Artificial Intelligence CMMAI on September 17-19, 2026 in Kochi, India

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International Conference on Computational Mathematics, Modelling and Artificial Intelligence (CMMAI) September 17, 2026 - Kochi, India

The International Conference on Computational Mathematics, Modelling and Artificial Intelligence (CMMAI 2026) is an international research conference organized by the Postgraduate and Research Department of Mathematics, Bharata Mata College (Autonomous), Thrikkakara, Kochi, Kerala, India, to be held from 17–19 September 2026.

CMMAI 2026 serves as a global platform for researchers, academicians, scientists, industry professionals, and students to exchange innovative ideas and recent advances in computational mathematics, mathematical modelling, scientific computing, artificial intelligence, and data-driven technologies. The conference is designed to strengthen interdisciplinary collaboration by bringing together experts from mathematics, computer science, engineering, physics, life sciences, economics, and related fields.

The conference will feature keynote lectures, invited talks, paper presentations, and technical sessions covering a broad spectrum of emerging research areas, including numerical analysis, scientific computing, optimization, control theory, stochastic modelling, uncertainty quantification, dynamical systems, mathematical finance, scientific machine learning, AI foundations, computational imaging, neuroscience, medicine, and quantum-inspired computational methods.

CMMAI 2026 aims to foster meaningful academic dialogue where rigorous mathematical theory meets modern computational practice. By encouraging collaboration across disciplines, the conference seeks to inspire innovative research, promote knowledge exchange, and explore future directions that address real-world scientific and technological challenges.

Researchers are invited to present original research findings, share practical applications, and build lasting collaborations with the international scientific community. Through its focus on excellence, innovation, and interdisciplinary engagement, CMMAI 2026 aspires to contribute significantly to the advancement of computational mathematics and artificial intelligence.

CMMAI 2026 welcomes original research contributions across a broad range of topics in Computational Mathematics, Mathematical Modelling, Scientific Computing, and Artificial Intelligence. Authors are invited to submit their manuscripts under one of the following conference tracks.

  1. Numerical Analysis and Scientific Computing
  2. Mathematical Modelling and Simulation
  3. Optimization, Variational Methods and Control Theory
  4. Stochastic Modelling, Probability and Dynamical Systems
  5. Mathematical Modelling in Life and Environmental Sciences
  6. Mathematical Finance, Economics and Decision Sciences
  7. Scientific Machine Learning and Data-Driven Modelling
  8. Artificial Intelligence and Data Science
  9. Computational Imaging, Neuroscience and Medical Mathematics
  10. Quantum Computing and Quantum-Inspired Algorithms
  11. Applied Mathematics and Interdisciplinary Applications
  12. Emerging Topics in Computational Mathematics and AI

Name: Bharata Mata College (Autonomous)

The conference aims to foster a sense of intellectual community — grounded in mathematical rigour, driven by curiosity, and open to new perspectives 1. Numerical Analysis and Scientific Computing 2. Mathematical Modelling and Simulation of Physical Systems 3. Optimisation, Variational Methods, and Control Theory 4. Stochastic Modelling, Uncertainty Quantification, and Dynamical Systems 5. Mathematical Modelling in Life and Environmental Sciences 6. Mathematical Finance, Economics, and Decision Sciences 7. Data-Driven Mathematical Modelling and Scientific Machine Learning 8. Mathematical Foundations of Artificial Intelligence and Data Science 9. Computational Mathematics in Imaging, Neuroscience, and Medicine 10. Emerging Topics in Computational Mathematics and AI
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