Flex Conference (Physical / Digital)

International Conference on Machine Learning in Finance, Risk, and Optimization (ICMLFRO - 27)

Call for Paper

The ICMLFRO provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition. The conference covers diverse topics such as Computational Science, Data Science encouraging participation from emerging researchers and fostering academic growth.

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

  • Machine learning in financial risk assessment
  • Predictive modeling for investment strategies
  • AI applications in credit scoring
  • Optimization techniques in financial modeling
  • Fraud detection using machine learning
  • Risk management in financial markets
  • Data-driven approaches to portfolio optimization
  • Machine learning for insurance underwriting
  • Algorithmic trading and predictive analytics
  • Financial forecasting with AI techniques
  • Stress testing financial models
  • Impact of regulations on financial analytics
  • Behavioral finance and machine learning
  • Market trend analysis using big data
  • Credit risk modeling with machine learning
  • Ethics in financial data analytics
  • Real-time analytics for trading decisions
  • Challenges in financial data integration
  • Future of AI in finance and risk
  • Interdisciplinary approaches to financial optimization

Review & Publication

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

Important Dates

Early Bird Registration :14th December 2026

Paper Submission Deadline :19th December 2026

Last Date of Registration : 29th December 2026

Date of Conference : 13th - 14th January 2027