International Conference on

Machine Learning for IT Infrastructure and Big Data (ICMLITIBD-26)

Conference Date

15th Dec - 16th Dec 2026

Conference Venue

Tokyo, Japan

Conference Mode

Hybrid Conference
Proudly organized by:- Science Leagues

"Join global experts in Machine Learning for IT Infrastructure and Big Data"

Registration Options

View all registration categories and choose the best fit.

Call for Papers

The ICMLITIBD is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Big Data,Machine Learning,Information Technology, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

01
Machine learning algorithms for big data
02
Infrastructure challenges in machine learning
03
Big data processing frameworks comparison
04
Scalable machine learning techniques
05
Machine learning for data-driven IT solutions
06
Optimizing IT infrastructure with ML
07
Real-time analytics using machine learning
08
Machine learning in cloud environments
09
Data preprocessing for machine learning models
10
Ethical considerations in machine learning
11
Machine learning for IT service optimization
12
Big data analytics in machine learning
13
Applications of deep learning in IT
14
Machine learning model evaluation techniques
15
Big data storage solutions for ML
16
Federated learning in big data contexts
17
Transfer learning for big data applications
18
Machine learning for anomaly detection
19
Big data governance in machine learning
20
Future directions in ML for IT

All submissions undergo a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers may be considered for publication in high-quality journals.

Registration

Secure your participation. Limited slots are allocated on a first-come, first-served basis.

Submission

High-quality research papers are prioritized for indexed proceedings and recognized journals.

Event Highlights

  • Keynote by expert speakers
  • Technical presentations
  • Professional networking
  • Research discussions

Contact Us

For any inquiries or assistance regarding the Science Leagues Conference, please do not hesitate to reach out to the conference organizing committee. We're here to help!

Email: [email protected]

Phone: +91 8870915303

Feel free to contact us for questions about paper submissions, registration, conference details, or any other related matters. We look forward to assisting you!