On-location / Digital Conference

International Conference on Materials Engineering and Intelligent Data Mining (ICMEIDM-27)

19th - 20th Jan 2027,Mostar, Bosnia and Herzegovina

In Association With:

Call for Paper


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

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Mostar ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Mostar conference.
  • Peer Review Process:
    The peer review process will begin soon for Mostar conference.
  • Networking with Global Experts:
    Join global experts at our conference in Mostar.
  • 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 ICMEIDM 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 Materials Engineering and Intelligent Data Mining, 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 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

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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