Hybrid Conferencee

International Conference on Machine Learning in Finance, Risk, and Optimization (ICMLFRO - 26)

7th - 8th September 2026 | Boston, USA
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Boston. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Boston event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Boston conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Boston, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Boston."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICMLFRO aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Computational Science,Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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