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Call For Papers

The ICPPAPS 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 Probability Theory, 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:

  • Applications of Poisson processes in science
  • Statistical methods for Poisson regression
  • Modeling events with Poisson processes
  • Poisson processes in queuing theory
  • Applications in telecommunications and networking
  • Statistical inference for Poisson models
  • Poisson processes in reliability engineering
  • Modeling arrival processes in systems
  • Applications of Poisson processes in finance
  • Poisson processes in epidemiology studies
  • Stochastic modeling with Poisson processes
  • Statistical methods for count data analysis
  • Poisson processes in inventory management
  • Applications in risk assessment and management
  • Modeling rare events with Poisson processes
  • Poisson processes in machine learning
  • Statistical methods for time series analysis
  • Applications of Poisson processes in biology
  • Modeling customer arrivals in service systems
  • Poisson processes in environmental studies

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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Conference Alert

Given the evolving security situation and restricted airspace across parts of the Middle East, this event may be held exclusively online. Attendees are advised to monitor official travel advisories before booking