Pre-Enrollment

8th October 2026

Final Paper Submission

13th October 2026

Registration Deadline

23rd October`2026

Conference Date

7th Nov - 8th Nov 2026

Call for Papers

The International Conference on Information Science and 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 Information 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 Algorithms For Information Science
02
Data Mining Techniques In Information Retrieval
03
Artificial Intelligence In Information Systems
04
Predictive Analytics For Decision Making
05
Big Data Analytics In Machine Learning
06
Natural Language Processing Applications
07
Information Visualization Techniques
08
Data Preprocessing And Feature Engineering
09
Deep Learning For Information Science
10
Reinforcement Learning In Data Analysis
11
Ethics In Machine Learning Applications
12
Collaborative Filtering And Recommendation Systems
13
Text Mining And Sentiment Analysis
14
Graph-based Machine Learning Approaches
15
Data Quality And Management Challenges
16
Real-time Data Processing Techniques
17
Information Retrieval In Social Networks
18
Scalable Machine Learning Solutions
19
Interdisciplinary Approaches In Information Science
20
Future Directions In Machine Learning Research
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