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Call For Papers

The ICPASM 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 Statistics, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Predictive analytics techniques and applications
  • Machine learning in predictive modeling
  • Statistical methods for forecasting
  • Applications of predictive analytics in business
  • Predictive modeling in healthcare
  • Ethics in predictive analytics research
  • Predictive analytics in social sciences
  • Time series forecasting methods
  • Predictive analytics for customer behavior
  • Statistical challenges in predictive modeling
  • Predictive analytics in finance and investment
  • Big data and predictive analytics integration
  • Applications of predictive modeling in marketing
  • Predictive analytics for risk assessment
  • Recent advancements in predictive analytics
  • Predictive modeling in sports analytics
  • Data visualization in predictive analytics
  • Predictive analytics for supply chain management
  • Future trends in predictive modeling
  • Statistical software for predictive 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.