Pre-Enrollment

27th October 2026

Final Paper Submission

1st November 2026

Registration Deadline

11th November`2026

Conference Date

26th Nov - 27th Nov 2026

Call for Papers

The International Conference on Machine Learning and Intelligent Systems 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 Information Science,Linguistics,Social Sciences, 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
Innovations In Machine Learning Algorithms
02
Applications Of Ai In Intelligent Systems
03
Ethical Considerations In Machine Learning
04
Deep Learning Vs Traditional Machine Learning
05
Machine Learning In Healthcare Applications
06
Data Preprocessing Techniques For Ml
07
Supervised Vs Unsupervised Learning Methods
08
Reinforcement Learning In Real-world Scenarios
09
Challenges In Machine Learning Deployment
10
Explainable Ai And Transparency Issues
11
Machine Learning For Social Good
12
Impact Of Ml On Business Processes
13
Ai-driven Decision-making Systems
14
Future Trends In Intelligent Systems
15
Machine Learning In Natural Language Processing
16
Scalability Challenges In Machine Learning
17
Data Privacy In Machine Learning Applications
18
Interdisciplinary Approaches To Ai Research
19
Machine Learning For Environmental Sustainability
20
Real-time Data Processing In Ml Systems
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