Information

  • Home
  • Call for Paper

Call For Papers

The ICITIBDML bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Big Data, Machine Learning, Information Technology, encouraging applied research, case studies, and industry-driven innovations.

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

  • Innovations in big data and machine learning
  • Machine learning for IT process automation
  • Big data analytics for operational efficiency
  • Data-driven innovations in IT management
  • Machine learning for predictive maintenance
  • Big data applications in healthcare IT
  • Integration of big data and AI technologies
  • Real-time decision making with ML
  • Big data and machine learning ethics
  • Scalable architectures for ML applications
  • Big data impact on IT service delivery
  • Machine learning for customer insights
  • Big data-driven business intelligence solutions
  • Data quality management in ML systems
  • Machine learning for risk assessment
  • Big data visualization for IT innovations
  • Collaborative filtering in big data contexts
  • Machine learning for fraud detection
  • Big data strategies for IT transformation
  • Future trends in big data and ML

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.