Flex Conference (Physical / Digital)

International Conference on Scalable Machine Learning for Big Data in IT - (ICSMLBDIT-27)

11th - 12th June 2027 , Jakarta Raya - Indonesia

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Call For Papers

The (ICSMLBDIT-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Big Data, Machine Learning, Information Technology are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

  • Scalable machine learning algorithms
  • Big data challenges in scalability
  • Distributed machine learning techniques
  • Real-time big data processing frameworks
  • Machine learning for large datasets
  • Big data analytics for IT scalability
  • Cloud computing and machine learning integration
  • Scalable architectures for data processing
  • Machine learning for resource optimization
  • Big data in edge computing environments
  • Applications of big data in IoT
  • Machine learning for performance tuning
  • Big data storage solutions for scalability
  • Federated learning for big data applications
  • Scalable data pipelines for ML
  • Machine learning for network optimization
  • Big data visualization for scalability
  • Machine learning for operational analytics
  • Big data governance in scalable systems
  • Future trends in scalable machine learning

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.