(ICMEIDM - 26) | Hybrid Event
26th - 27th November 2026 | San Francisco, USA

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International Conference on Materials Engineering and Intelligent Data Mining
(ICMEIDM - 26)

26th - 27th November 2026 San Francisco, USA (Hybrid Event)

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Call for Paper

The ICMEIDM is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Data Mining, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Data mining in materials engineering applications
  • Machine learning for material property prediction
  • Data-driven innovations in material design
  • Big data challenges in materials research
  • Data visualization techniques for materials data
  • Predictive analytics for material performance
  • Sustainability metrics in materials engineering
  • Data mining for nanomaterials characterization
  • Integration of AI in materials development
  • Data-driven approaches to recycling materials
  • Machine learning for composite materials analysis
  • Data mining for failure analysis in materials
  • Real-time monitoring of material properties
  • Collaborative materials research through data sharing
  • Case studies in materials engineering analytics
  • Data-driven methodologies in materials research
  • Ethics in materials engineering data usage
  • Future trends in materials engineering analytics
  • Data mining for advanced manufacturing materials
  • Applications of data mining in materials science
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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