M3HPCST-2026

Tracks

The original research articles are invited in the following tracks and areas but are not limited to.

Track 1 - Mathematical Methods and Computational Techniques

  • Numerical Analysis and Scientific Computing
  • Applied Mathematics in Engineering and Science
  • Mathematical Modelling and Simulation
  • Computational Optimization and Variational Methods

Track 2 - High-Performance Computing (HPC) Architectures and Algorithms

  • Parallel and Distributed Computing
  • Cloud and Edge Computing for Scientific Applications
  • GPU and FPGA-based Accelerations
  • Quantum Computing and Hybrid HPC Architectures

Track 3 - Data Science, Machine Learning, and AI in Scientific Computing

  • Mathematical Foundations of Machine Learning
  • High-Performance AI and Deep Learning Algorithms
  • Data-Driven Scientific Discoveries
  • Computational Statistics and Big Data Analytics

Track 4 - Computational Physics, Chemistry, and Material Science

  • Simulations In Quantum Mechanics and Condensed Matter Physics
  • Computational Chemistry and Molecular Dynamics
  • HPC Applications in Material Science and Nanotechnology
  • Application of Mathematical Modelling in Sciences And Engineering

Track 5 - Quantum Computation and Its Applications

  • Fundamentals of Quantum Computing
  • Quantum Hardware/Software Technologies
  • Quantum Communications and Networks
  • Emerging Trends and Challenges in Quantum Computing

Track 6 - Emerging Trends in Science & Technology

  • Artificial Intelligence and Machine Learning
  • Mathematical Modelling in Science and Engineering
  • Artificial Intelligence and Computational Mathematics
  • Computational Mathematics and Numerical Method
  • Differential Equations and Dynamical Systems

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