International Conference on Machine Learning for Big Data-enabled IT Solutions - (ICMLBDITS-26)


20th - 21st May, 2026 | Lisbon, Portugal

Multi-format (In-person/Virtual)

Important Dates

Pre-registration Deadline

20th April, 2026

Paper Submission Deadline

30th April, 2026

Last Date Of Registration

5th May, 2026

Date Of Conference

20th - 21st May, 2026

Downloads

Call for Papers

The (ICMLBDITS-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 for IT solutions
  • Big data analytics in solution development
  • Predictive modeling for IT applications
  • Real-time data processing for solutions
  • AI applications in IT problem-solving
  • Challenges in developing data-driven solutions
  • User-centered design in IT solutions
  • Case studies of successful implementations
  • Impact of big data on IT services
  • Future trends in IT solution development
  • Collaboration between IT and data teams
  • Data governance in solution projects
  • Innovative frameworks for IT solutions
  • Scalable architectures for big data solutions
  • Ethical considerations in IT applications
  • Data-driven insights for IT effectiveness
  • Machine learning for user experience enhancement
  • Integration of big data in IT services
  • Security implications of data solutions
  • Real-world applications of ML in 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.

Empowering Research Continuity

At Research Leagues, academic engagement continues without interruption despite the current global situation. Researchers can present and publish through online and integrated participation pathways.