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Call For Papers

The ICFAML 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 Machine Learning, encouraging applied research, case studies, and industry-driven innovations.

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

  • Financial forecasting using machine learning
  • Risk assessment models in finance
  • Algorithmic trading strategies with ML
  • Fraud detection techniques in banking
  • Portfolio optimization using AI methods
  • Sentiment analysis for stock market prediction
  • Credit scoring models with machine learning
  • Impact of ML on financial regulations
  • Predictive maintenance in financial services
  • Customer segmentation using machine learning
  • Time series analysis in finance
  • Blockchain technology and machine learning
  • Ethics of AI in financial applications
  • Automated financial reporting systems
  • Machine learning in insurance underwriting
  • Market trend analysis using AI
  • Behavioral finance and machine learning
  • Investment strategies driven by AI
  • Data privacy in financial machine learning
  • Real-time analytics in financial markets

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.