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Call For Papers

The ICHPDASM bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Computational Science, Data Science, encouraging applied research, case studies, and industry-driven innovations.

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

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Submit Your Paper Now Confirm Your Participation Today
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