On-location / Digital Conference

International Conference on Data Mining in Civil and Structural Engineering (ICDMCSE-27)

28th - 29th Jan 2027,Marseille, France

In Association With:

Call for Paper


Important Dates


Early Bird Registration

29th Dec 2026

Paper Submission Deadline

3rd January 2027

Registration Deadline

13th January 2027

Conference Date

28th - 29th Jan 2027

Conference Updates:

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  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Marseille ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Marseille conference.
  • Peer Review Process:
    The peer review process will begin soon for Marseille conference.
  • Networking with Global Experts:
    Join global experts at our conference in Marseille.
  • 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 ICDMCSE 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 Data Mining in Civil and Structural Engineering, 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 applications in civil engineering
  • Structural health monitoring using data mining
  • Predictive analytics for civil engineering projects
  • Data mining for construction project management
  • Data-driven design in civil engineering
  • Data mining for infrastructure maintenance
  • Machine learning in structural engineering
  • Data mining for environmental impact assessment
  • Data mining for urban planning and development
  • Data mining for safety in civil engineering
  • Real-time data analysis in construction
  • Data mining for resource optimization in civil projects
  • Data mining for risk management in construction
  • Data mining for project scheduling in civil engineering
  • Data mining for quality control in construction
  • Data mining for stakeholder engagement
  • Future trends in civil engineering data mining
  • Data mining for sustainable infrastructure development
  • Data mining for regulatory compliance in construction
  • Case studies of data mining in civil engineering

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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