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International Conference on Poisson Processes and Applications (ICPPAPS-27)

23rd - 24th Mar 2027,Santa Clara, Cuba

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Call for Paper

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Important Dates


Early Bird Registration

21st Feb 2027

Paper Submission Deadline

26th February 2027

Registration Deadline

8th March 2027

Conference Date

23rd - 24th Mar 2027

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  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Santa Clara conference.
  • Peer Review Process:
    The peer review process will begin soon for Santa Clara conference.
  • Networking with Global Experts:
    Join global experts at our conference in Santa Clara.
  • Opportunity for Scopus-Indexed Journal Publication:
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  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICPPAPS 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 Poisson Processes and Applications, encouraging applied research, case studies, and industry-driven innovations.

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

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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Academic Institutions Whose Scholars Have Contributed

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