Pre-Enrollment

10th October 2026

Final Paper Submission

15th October 2026

Registration Deadline

25th October`2026

Conference Date

9th Nov - 10th Nov 2026

Call for Papers

The International Conference on Financial Applications of Machine Learning invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Machine Learning, the conference aims to bridge theoretical advancements with real-world applications.

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

01
Financial Forecasting Using Machine Learning
02
Risk Assessment Models In Finance
03
Algorithmic Trading Strategies With Ml
04
Fraud Detection Techniques In Banking
05
Portfolio Optimization Using Ai Methods
06
Sentiment Analysis For Stock Market Prediction
07
Credit Scoring Models With Machine Learning
08
Impact Of Ml On Financial Regulations
09
Predictive Maintenance In Financial Services
10
Customer Segmentation Using Machine Learning
11
Time Series Analysis In Finance
12
Blockchain Technology And Machine Learning
13
Ethics Of Ai In Financial Applications
14
Automated Financial Reporting Systems
15
Machine Learning In Insurance Underwriting
16
Market Trend Analysis Using Ai
17
Behavioral Finance And Machine Learning
18
Investment Strategies Driven By Ai
19
Data Privacy In Financial Machine Learning
20
Real-time Analytics In Financial Markets
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review