International Conference on Predictive Maintenance Analytics in Engineering - (ICPMAE-26)


6th - 7th November, 2026 | Seoul, South Korea

Multi-format (In-person/Virtual)

Submit for Presentation Attendee Registration Conference Brochure
Registration Options →

Explore conference registration categories designed for every mode of participation.

Home About Organizer Call For Paper Paper Submission Author Guidelines Registration Presentation Guidelines Organizing Committee Collaboration Agenda Do's and Dont's Venue Contact Us

Important Dates

Pre-registration Deadline

7th October, 2026

Paper Submission Deadline

17th October, 2026

Last Date Of Registration

22nd October, 2026

Date Of Conference

6th - 7th November, 2026

Downloads

Conference Flyer
Sample Abstract
Sample Full Paper

Call for Papers

The (ICPMAE-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Data Science, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

  • Predictive maintenance strategies in engineering
  • Machine learning for equipment failure prediction
  • Data analytics for maintenance optimization
  • Real-time monitoring in predictive maintenance
  • Challenges in implementing predictive maintenance
  • Case studies of predictive maintenance success
  • AI-driven insights for maintenance planning
  • Statistical methods for maintenance analytics
  • Impact of IoT on predictive maintenance
  • Data-driven decision-making in engineering
  • Machine learning algorithms for maintenance
  • Future trends in predictive maintenance
  • Integration of maintenance data sources
  • Visualization techniques for maintenance data
  • Ethical considerations in predictive maintenance
  • Adaptive maintenance strategies using AI
  • Collaborative approaches to maintenance analytics
  • Benchmarking predictive maintenance models
  • User experience in maintenance applications
  • Machine learning frameworks for predictive maintenance

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.

Submit Your Paper Today Register Early & Reserve Your Slot

Empowering Research Continuity

At Research Leagues, academic engagement continues without interruption despite the current global situation. Researchers can present and publish through online and integrated participation pathways.