International Conference on

Scalable Machine Learning for Big Data in IT (ICSMLBDIT-26)

3rd – 4th Oct 2026 | Colombo, Sri Lanka | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Scalable Machine Learning for Big Data in IT invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Big Data, Machine Learning, Information Technology encouraging interdisciplinary research and innovative approaches to solving real-world problems.

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

01
Scalable machine learning algorithms
02
Big data challenges in scalability
03
Distributed machine learning techniques
04
Real-time big data processing frameworks
05
Machine learning for large datasets
06
Big data analytics for IT scalability
07
Cloud computing and machine learning integration
08
Scalable architectures for data processing
09
Machine learning for resource optimization
10
Big data in edge computing environments
11
Applications of big data in IoT
12
Machine learning for performance tuning
13
Big data storage solutions for scalability
14
Federated learning for big data applications
15
Scalable data pipelines for ML
16
Machine learning for network optimization
17
Big data visualization for scalability
18
Machine learning for operational analytics
19
Big data governance in scalable systems
20
Future trends in scalable machine learning
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Quick Links

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