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Call For Papers

The ICPCNAS 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 Probability Theory, encouraging applied research, case studies, and industry-driven innovations.

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

  • Probability models in complex networks
  • Stochastic processes in network theory
  • Applications of graph theory in systems
  • Network reliability and performance analysis
  • Probabilistic approaches to social networks
  • Modeling dynamics in complex systems
  • Statistical methods for network analysis
  • Applications of random graphs in science
  • Network topology and its implications
  • Probabilistic models for epidemic spread
  • Complex systems in biology and ecology
  • Network resilience and vulnerability analysis
  • Stochastic modeling of network traffic
  • Applications of network theory in engineering
  • Probabilistic methods for network optimization
  • Modeling interactions in complex networks
  • Statistical inference in network data
  • Dynamic processes on complex networks
  • Applications of network models in finance
  • Probabilistic approaches to information diffusion

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.