Flex Conference (Physical / Digital)

International Conference on Data Mining for Engineering Process Optimization - (ICDMPOE-26)

31st - 1st November 2026 , Raozan Upazila - Bangladesh

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Call For Papers

The (ICDMPOE-26) 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 for engineering process optimization
  • Predictive modeling in engineering processes
  • Data mining for workflow improvement
  • Optimization algorithms in engineering design
  • Data-driven strategies for engineering efficiency
  • Machine learning applications in process optimization
  • Data mining for cost reduction in engineering
  • Statistical process control using data mining
  • Data mining for supply chain efficiency
  • Real-time monitoring of engineering processes
  • Data mining for resource management
  • Data mining for production scheduling
  • Data mining for equipment reliability
  • Data mining for quality assurance
  • Data mining for operational excellence
  • Data mining for innovation in engineering
  • Data mining for environmental sustainability
  • Data mining for risk management in engineering
  • Integration of data mining in engineering workflows
  • Future trends in process optimization

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.