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International Conference on Predictive Maintenance and Data Mining in Engineering (ICPMDME-27)

19th - 20th Jan 2027,El Eulma, Algeria

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Call for Paper

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Important Dates


Early Bird Registration

20th Dec 2026

Paper Submission Deadline

25th December 2026

Registration Deadline

4th January 2027

Conference Date

19th - 20th Jan 2027

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  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in El Eulma ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in El Eulma conference.
  • Peer Review Process:
    The peer review process will begin soon for El Eulma conference.
  • Networking with Global Experts:
    Join global experts at our conference in El Eulma.
  • 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 ICPMDME 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 Predictive Maintenance and Data Mining in Engineering, encouraging applied research, case studies, and industry-driven innovations.

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

  • Predictive maintenance strategies in engineering
  • Data mining techniques for maintenance
  • Machine learning for predictive analytics
  • Reliability engineering in predictive maintenance
  • Impact of IoT on maintenance practices
  • Data-driven decision making in engineering
  • Predictive maintenance case studies
  • Challenges in implementing predictive maintenance
  • Integration of AI in maintenance strategies
  • Real-time monitoring for predictive maintenance
  • Cost-benefit analysis of predictive maintenance
  • Collaborative approaches to maintenance solutions
  • Future trends in predictive maintenance
  • User experience in maintenance applications
  • Data visualization for predictive maintenance
  • Maintenance optimization in engineering systems
  • Ethical considerations in predictive analytics
  • Impact of predictive maintenance on safety
  • Best practices in data mining for maintenance
  • Predictive maintenance for smart systems

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.

Submit Your Paper Now Confirm Your Participation Today

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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