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Call For Papers

The ICCFRM 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 Computational Science, Data Science, encouraging applied research, case studies, and industry-driven innovations.

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

  • Risk assessment in financial modeling
  • Computational techniques for financial analysis
  • Machine learning in finance applications
  • Data-driven approaches to risk management
  • Stochastic modeling in finance
  • High-frequency trading algorithms
  • Portfolio optimization using simulations
  • Behavioral finance and computational methods
  • Impact of AI on financial forecasting
  • Financial data visualization techniques
  • Regulatory challenges in computational finance
  • Cryptocurrency modeling and analysis
  • Time series analysis in finance
  • Risk modeling in investment strategies
  • Data mining for financial insights
  • Applications of deep learning in finance
  • Market prediction using computational models
  • Ethics in financial data usage
  • Financial technology innovations and risks
  • Future trends in computational finance

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.