International Conference on Machine Learning and Data Mining in Engineering - (ICMLDME-26)


12th - 13th October, 2026 | Miami, USA

Multi-format (In-person/Virtual)

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Important Dates

Pre-registration Deadline

12th September, 2026

Paper Submission Deadline

17th September, 2026

Last Date Of Registration

27th September, 2026

Date Of Conference

12th - 13th October, 2026

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Call for Papers

The (ICMLDME-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 Mining, 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:

  • Machine learning algorithms for engineering applications
  • Data mining techniques in structural engineering
  • Predictive analytics for engineering design
  • Big data challenges in engineering fields
  • AI applications in engineering problem solving
  • Data-driven optimization in engineering processes
  • Statistical methods for engineering data analysis
  • Machine learning for materials engineering
  • Engineering data visualization techniques
  • Real-time data processing in engineering
  • Data mining for fault detection in engineering
  • Integration of IoT in engineering analytics
  • Sustainability metrics in engineering projects
  • Data mining for risk assessment in engineering
  • Collaborative engineering through data sharing
  • Machine learning for energy systems
  • Data-driven innovation in engineering education
  • Ethics in machine learning applications
  • Future of data mining in engineering
  • Case studies of successful data mining

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