On-location / Digital Conference

International Conference on Data Mining for Engineering Process Optimization (ICDMPOE-27)

21st - 22nd Jan 2027,Geneva, Switzerland

In Association With:

Call for Paper


Important Dates


Early Bird Registration

22nd Dec 2026

Paper Submission Deadline

27th December 2026

Registration Deadline

6th January 2027

Conference Date

21st - 22nd Jan 2027

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  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Geneva ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Geneva conference.
  • Peer Review Process:
    The peer review process will begin soon for Geneva conference.
  • Networking with Global Experts:
    Join global experts at our conference in Geneva.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICDMPOE 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 Data Mining for Engineering Process Optimization, encouraging applied research, case studies, and industry-driven innovations.

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

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.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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