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International Conference on Data-Driven Structural Health Monitoring (ICDDSHM-27)

06th - 07th Jan 2027,Istanbul, Turkey

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Call for Paper

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Important Dates


Early Bird Registration

07th Dec 2026

Paper Submission Deadline

12th December 2026

Registration Deadline

22nd December 2026

Conference Date

06th - 07th Jan 2027

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  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Istanbul ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Istanbul conference.
  • Peer Review Process:
    The peer review process will begin soon for Istanbul conference.
  • Networking with Global Experts:
    Join global experts at our conference in Istanbul.
  • 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 ICDDSHM 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-Driven Structural Health Monitoring, encouraging applied research, case studies, and industry-driven innovations.

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

  • Data-driven approaches to structural health
  • Machine learning for damage detection
  • Real-time monitoring of structures
  • Challenges in structural health monitoring
  • Statistical methods for health assessment
  • Applications of SHM in civil engineering
  • Deep learning for structural data analysis
  • Case studies in structural health monitoring
  • Impact of IoT on structural health
  • Data fusion techniques for SHM
  • Visualization of structural health data
  • Machine learning algorithms for SHM
  • Future trends in structural health monitoring
  • Integration of diverse data sources
  • Ethical considerations in SHM applications
  • Adaptive monitoring strategies using AI
  • Collaborative approaches to structural health
  • Benchmarking SHM models
  • User experience in SHM applications
  • Machine learning frameworks for structural health

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.

Submit Your Paper Now Confirm Your Participation Today

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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