Pre-Enrollment

5th October 2026

Final Paper Submission

10th October 2026

Registration Deadline

20th October`2026

Conference Date

4th Nov - 5th Nov 2026

Call for Papers

The International Conference on Machine Learning in Finance, Risk, and Optimization 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 Computational Science,Data Science, 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
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
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