SNRI

(ICDAMPP - 27) | Hybrid Event
28th - 29th June 2027 | Osaka, Japan

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International Conference on Discrete Applied Mathematics and Parallel Processing
(ICDAMPP - 27)

28th - 29th June 2027 Osaka, Japan (Hybrid Event)

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Call for Paper

The ICDAMPP is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Applied Mathematics, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Parallel algorithms in discrete mathematics
  • Applications of discrete mathematics in computing
  • Graph algorithms and parallel processing
  • Combinatorial optimization in parallel systems
  • Distributed computing in applied mathematics
  • Parallel processing for large datasets
  • Algorithms for discrete structures
  • Parallel computing in numerical simulations
  • Applications of combinatorial algorithms
  • Parallel processing in data analysis
  • Discrete mathematics in cryptography
  • Parallel algorithms for optimization problems
  • Applications of discrete mathematics in AI
  • Parallel processing in machine learning
  • Combinatorial problems in parallel computing
  • Graph theory applications in parallel systems
  • Parallel algorithms for network analysis
  • Discrete mathematics in software engineering
  • Parallel computing in scientific research
  • Applications of discrete mathematics in finance
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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