Flex Conference (Physical / Digital)

International Conference on Engineering Informatics and Data Mining - (ICEIDM-27)

28th - 29th June 2027 , Kingston - Jamaica

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Call For Papers

The (ICEIDM-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 Data Mining 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:

  • Data mining techniques in engineering informatics
  • Machine learning for engineering data analysis
  • Big data applications in engineering informatics
  • Data visualization for engineering insights
  • Predictive modeling in engineering systems
  • Integration of AI in engineering informatics
  • Data-driven decision making in engineering
  • Real-time data processing in engineering informatics
  • Data mining for system optimization
  • Collaborative engineering through data sharing
  • Data mining for project management
  • Ethics in engineering informatics research
  • Machine learning for engineering education
  • Data-driven innovations in engineering practices
  • Case studies in engineering informatics
  • Data mining for risk management in projects
  • Future trends in engineering informatics
  • Data mining for performance evaluation
  • Data-driven methodologies in engineering research
  • Applications of data mining in engineering

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.