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Call For Papers

The ICBDMLITRM 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:

  • Risk management strategies using big data
  • Machine learning for cybersecurity
  • Predictive analytics for IT risk
  • Data-driven risk assessment models
  • Big data compliance and regulations
  • AI in risk mitigation strategies
  • Data visualization for risk management
  • Real-time risk monitoring systems
  • Big data in financial risk management
  • Machine learning for operational risk
  • Big data analytics for compliance
  • Risk prediction using machine learning
  • Data quality and risk management
  • AI-driven risk analysis tools
  • Big data in project risk management
  • Machine learning for disaster recovery
  • Statistical methods for risk assessment
  • Big data in insurance risk modeling
  • AI applications in risk forecasting
  • Challenges in IT risk management

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.