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Call For Papers

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

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

  • Stochastic simulation methodologies
  • Computational probability techniques
  • Monte Carlo simulations in research
  • Stochastic models in engineering
  • Applications of simulation in finance
  • Statistical validation of simulations
  • Discrete event simulation techniques
  • Random number generation methods
  • Stochastic processes in biological systems
  • Simulation of complex systems
  • Agent-based modeling and simulation
  • Stochastic optimization in simulations
  • Parallel computing for stochastic simulations
  • Applications of Markov Chain Monte Carlo
  • Simulation-based inference methods
  • Real-time stochastic simulations
  • Stochastic simulations in environmental science
  • Emerging tools for computational probability
  • Simulation in healthcare applications
  • Trends in stochastic simulation research

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.