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


17th - 18th October, 2026 | Montreal, Canada

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

17th September, 2026

Paper Submission Deadline

22nd September, 2026

Last Date Of Registration

2nd October, 2026

Date Of Conference

17th - 18th October, 2026

Downloads

Call for Papers

The (ICMLITIBD-26) 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:

  • Machine learning algorithms for big data
  • Infrastructure challenges in machine learning
  • Big data processing frameworks comparison
  • Scalable machine learning techniques
  • Machine learning for data-driven IT solutions
  • Optimizing IT infrastructure with ML
  • Real-time analytics using machine learning
  • Machine learning in cloud environments
  • Data preprocessing for machine learning models
  • Ethical considerations in machine learning
  • Machine learning for IT service optimization
  • Big data analytics in machine learning
  • Applications of deep learning in IT
  • Machine learning model evaluation techniques
  • Big data storage solutions for ML
  • Federated learning in big data contexts
  • Transfer learning for big data applications
  • Machine learning for anomaly detection
  • Big data governance in machine learning
  • Future directions in ML for IT

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.