Hybrid Conference (In Person / Virtual)

International Conference on Machine Learning in Finance, Risk, and Optimization (ICMLFRO - 27)
26th - 27th March 2027 , Jakarta Raya, Indonesia
** Important Notice      Beware of fraudulent emails and calls impersonating IIRD Conference to collect conference and journal fees. Ensure all payments are processed only through our official event website. Report suspicious activity to [email protected].

Call For Papers

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:

01
Machine learning in financial risk assessment
02
Predictive modeling for investment strategies
03
AI applications in credit scoring
04
Optimization techniques in financial modeling
05
Fraud detection using machine learning
06
Risk management in financial markets
07
Data-driven approaches to portfolio optimization
08
Machine learning for insurance underwriting
09
Algorithmic trading and predictive analytics
10
Financial forecasting with AI techniques
11
Stress testing financial models
12
Impact of regulations on financial analytics
13
Behavioral finance and machine learning
14
Market trend analysis using big data
15
Credit risk modeling with machine learning
16
Ethics in financial data analytics
17
Real-time analytics for trading decisions
18
Challenges in financial data integration
19
Future of AI in finance and risk
20
Interdisciplinary approaches to financial optimization

Assessment

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.