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Call For Paper

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Call For Papers

The ICHPDASM 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 Computational Science, Data Science, 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:

  • High-performance computing for data analytics
  • Data modeling techniques for scientific research
  • Big data challenges in scientific modeling
  • Machine learning applications in data analytics
  • Real-time data processing in research
  • Visualization techniques for scientific data
  • Data management in high-performance computing
  • Collaborative tools for data analysis
  • Impact of AI on scientific modeling
  • Case studies in high-performance data analytics
  • Future trends in data-driven research
  • Ethics of data usage in science
  • Interdisciplinary approaches to data analytics
  • Data-driven decision making in research
  • Optimization techniques for data processing
  • Data sharing and collaboration in science
  • Innovative tools for scientific computing
  • Uncertainty quantification in data analysis
  • Applications of AI in scientific research
  • Challenges in high-performance data analytics

Assessment

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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